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Graph Neural Networks Demystified: How They Work, their Applications and Essential Tools

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Graph Neural Networks (GNNs) are a powerful type of deep learning model designed to handle data in the form of graphs. Unlike traditional methods, which work well with data represented in grids or sequences (like images or text), GNNs are specifically suited for tasks where data is interconnected.

Graph Neural Networks Demystified: How They Work, their Applications and Essential Tools Read More »

Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences | Technical Paper

528 Comments / Home page, Papers / By

Navigable space determination is a difficult problem encountered in robotics and intelligent vehicle technology and it requires integrated solutions using advances in computer vision and computational geometry.

Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences | Technical Paper Read More »

FPGA Based Acceleration of a Custom Deep Neural Network Model Inference | Technical Paper

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We are in an era where Artificial Intelligence (AI) makes real-time decisions in applications like Advanced Driver Assistance Systems (ADAS), robots, autonomous vehicles, industrial automation, aerospace, and defense. These applications utilize deep learning neural networks (DNNs) for accurate predictions.

FPGA Based Acceleration of a Custom Deep Neural Network Model Inference | Technical Paper Read More »

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We are Among the Top 10 Best Workplaces™ for Women (Mid-Size) 2023

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We are thrilled to be recognized by Great Place to Work® in the Top 10 Best Workplaces™ for Women 2023 in the category “Mid-size Organizations in India.”  As a global authority on workplace culture, Great Place To Work has been studying employee experience and people practices across organizations for over three decades. Every year, more

We are Among the Top 10 Best Workplaces™ for Women (Mid-Size) 2023 Read More »

We are in the Top 100 Best Workplaces (Mid-Size) in India!

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We are thrilled to be recognized by Great Place to Work® India among India’s great Mid-Size Workplaces™ 2023. The prestigious recognition validates the investments the company has made to become an innovative, inclusive, and career-oriented company that invests in its people and their long-term career growth. “We are both humbled and proud to be make

We are in the Top 100 Best Workplaces (Mid-Size) in India! Read More »

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Introduction to GIS (Geographical Information System) data, its Visualization and Processing Techniques 

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Geographic Information System (GIS) is a computer system that analyzes and displays geographically referenced information. It uses data that is attached to a unique location. A GIS system creates, manages, analyzes, and maps various types of data. GIS connects data to a map, integrating location data (where things are) with all types of descriptive information (what things are like there).

Introduction to GIS (Geographical Information System) data, its Visualization and Processing Techniques  Read More »

Realtime 60 FPS Ultra HD Video recording solution using Xilinx ZynQ UltraScale MPSoC 

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The advancement of technology has made the 4K ultra high definition (Ultra HD) imaging the main standard for today’s multimedia products. It is now used in live sports streaming, high resolution video conferencing and even in the medical field. The high resolution provides a more immersive viewing experience and reduces blocking artefacts when viewed on a bigger screen.

Realtime 60 FPS Ultra HD Video recording solution using Xilinx ZynQ UltraScale MPSoC  Read More »

Automating Cheque Leaf processing using Deep Learning & OCR techniques

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Banking operations call for the processing of thousands of cheque leaves per day; this is often done in a manual fashion, consumes large amounts of time, and suffers from susceptibility to human errors. Optical Character Recognition or OCR is a technique wherein structured text is automatically interpreted by a computing system.

Automating Cheque Leaf processing using Deep Learning & OCR techniques Read More »

AI-based surface vegetation encroachment detection around rail tracks 

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Railway operators must conduct routine inspections and maintenance of tracks, trains, and other equipment to ensure safe operation of railways. Through these inspection and maintenance activities, railway operators prevent service interruptions and, most importantly, reduce the chances of catastrophic railway accidents by resolving some of the more common causes of accidents, such as equipment failures, track defects, etc. 

AI-based surface vegetation encroachment detection around rail tracks  Read More »

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ANPR using NanoDet, an Anchor-free Object Detection model 

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Object detection is a task in computer vision, which requires the algorithm to predict a bounding box with a class label for each Region of Interest (ROI) in an image. Anchor-based detector have ruled this space for a long time. Recently, anchor-free detectors have started to overtake anchor-based detectors due to their lower computational complexity and efficient detections.

ANPR using NanoDet, an Anchor-free Object Detection model  Read More »

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TensorFlow Serving of AI models with Celery Workers  

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As AI applications proliferate across industries, it is important to develop strategies to deploy these applications with high performance and at scale. With the help of Python, Celery and TensorFlow Serving, it is possible to easily deploy Machine Learning models as well as send tasks asynchronously to multiple workers using the Celery task queueing mechanism. 

TensorFlow Serving of AI models with Celery Workers   Read More »

Intelligent clock calibration based TDM for multi-FPGA emulation

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SoC re-spins can mostly be attributed to functional errors that are introduced during the RTL coding phase of the design process. Hardware simulations lower the risk of such design errors. However, given the increased size and complexity of designs, simulations are slow and often do not provide enough coverage to ensure the design is bug

Intelligent clock calibration based TDM for multi-FPGA emulation Read More »

Cobots and Vision Pose estimation for pick and stow operations

Cobots and Vision: Pose estimation for pick and stow operations

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Collaborative robots or cobots are being adopted in large fulfillment centers to streamline logistics with the intent to improve efficiency right from the stage of procurement to last-mile delivery. As the global collaborative robot market is forecasted to grow at a Compound Annual Growth Rate (CAGR) of 60% by 2030 [3], cobots are paving the way for collaborative, safe and productive warehouse automation.

Cobots and Vision: Pose estimation for pick and stow operations Read More »

A Hands-on Guide to Backend Performance Optimization of a SaaS platform for scalable AI workloads 

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This article contains a more detailed treatment of backend performance optimisation considerations in platforms targeted to handle scalable AI workloads. A brief introduction of the same can be found in our blog on Use of Celery in Serverless systems for scaling AI workloads.  The platform referenced is Ignitarium’s TYQ-i® SaaS Platform (TSP), a serverless architecture

A Hands-on Guide to Backend Performance Optimization of a SaaS platform for scalable AI workloads  Read More »

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Ignitarium is a Gold Sponsor at IESA AI Summit 2022

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Ignitarium is proud to be cosponsoring and participating at the IESA AI Summit 2022, being held on May 11 & 12, 2022. IESA AI Summit 2022 is a global virtual summit with an objective of sharing insights on how AI is driving the hardware and software ecosystem across industry verticals. With a global audience of 5K+ delegates from 100+ countries, the 2-day summit has a lineup of

Ignitarium is a Gold Sponsor at IESA AI Summit 2022 Read More »

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Use of Celery in Serverless Systems For Scaling AI Workloads

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Modern SaaS deployments rely on Serverless computing, allowing software components to be scaled easily with very little management overhead. AI workload execution has also started relying heavily on this technology to allow training or serving of ML models for a variety of applications. During model serving, software components like AI models, preprocessing and postprocessing can

Use of Celery in Serverless Systems For Scaling AI Workloads Read More »

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AI transforms driver safety and comfort: 4 things that will never be the same

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AI is increasingly becoming a part of our everyday lives, across different domains. Have you ever thought about the possibility of a custom driver and passenger experience based on your unique and personal needs? Will AI eliminate the need for us to drive altogether? Would it provide a convenient alternative to all our ‘on road woes’?

AI transforms driver safety and comfort: 4 things that will never be the same Read More »

Tech Talk

Hardware Accelerators in the World of Perception AI | Tech Talk

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In his keynote at MLDS 2022, Pradeep Sukumaran, VP – AI & Cloud, looks at Perception AI as the compute workload, characterized by data from sensors like microprocessors, 2D cameras and 3D LiDAR in relation to the trends of hardware accelerators, and also explore the ends of the spectrum, i.e., low power and high performance, using 2 relevant real world use cases.

Hardware Accelerators in the World of Perception AI | Tech Talk Read More »

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Fall Detection & Warning System using Geofencing for Rail Passenger Safety 

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A fall detection system can be defined as an assistive mechanism whose main objective is to generate an alert when a fall event has occurred. There are many cases of train tragedies in which people fall from running trains or from railway platforms. Such an uncontrolled fall can result in critical injuries and can even

Fall Detection & Warning System using Geofencing for Rail Passenger Safety  Read More »

Ignitarium Gold Sponsor at MLDS

Ignitarium is a Gold Sponsor at Machine Learning Developers Summit 2022

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Ignitarium is proud to be a Gold Sponsor at the Machine Learning Developers Summit 2022, being held on January 19 – 20.  MLDS 2022, India’s biggest Machine Learning Developers focussed conference, hosted by the coveted Analytics India Magazine, is in its 4th year. MLDS brings together India’s leading Machine Learning innovators and practitioners to share their ideas and experience about

Ignitarium is a Gold Sponsor at Machine Learning Developers Summit 2022 Read More »

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PowerBots in PowerArtist for Early-Power Analysis and Reduction: An Introduction

7,703 Comments / Blog, Home page / By

Early power analysis in System-on-chip (SoC) design is a hot topic today. The power budget of electronic devices is decreasing every day even though area and complexity are increasing. The situation is the same for wired and wireless devices. A wireless device cannot afford to have higher power simply because that will increase the battery consumption, whereas

PowerBots in PowerArtist for Early-Power Analysis and Reduction: An Introduction Read More »

Ignitarium in Zinnov Zones 2021

Ignitarium’s position as a key engineering service provider for Semiconductor, AI and Automotive domains is recognized by Zinnov Zones ratings 2021

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Ignitarium’s position as a provider of engineering R&D services to Semiconductor, AI and Automotive (focused on ADAS) domains has been strengthened by the Zinnov Zones 2021 ratings. The company has been featured in the Execution Zone for Semiconductors, as an Expansive and Emerging player in the AI Engineering Services category; and in the Breakout Zone

Ignitarium’s position as a key engineering service provider for Semiconductor, AI and Automotive domains is recognized by Zinnov Zones ratings 2021 Read More »

Network on Chip – an Overview

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System-on-chip (SoC) designs solve challenging design problems in different application domains by integrating diverse domain expertise. The successful design of such complex single-chip applications requires expertise in several technology areas such as communication, multimedia, encryption, and analog and RF designs. These technologies are increasingly hard to find in a single design house. Hence, there is

Network on Chip – an Overview Read More »

Enabling safety in workplaces with mobile robots using Virtual Fencing

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Robots have mastered every position imaginable in the post-pandemic world, from forklifts, trolley haulers, and industrial floor scrubbers in factories to delivery bots on the curb (you can read all about it in our blog- link here).  Human-robot interactions have increased dramatically in factory environments, posing a safety risk. It’s challenging to figure out which technology, solutions, and

Enabling safety in workplaces with mobile robots using Virtual Fencing Read More »

Light-weight People Detection on Microcontrollers using Custom Neural Networks

495 Comments / Blog, Home page / By

AI-driven computer vision systems are increasingly becoming a part of our day to day life across industrial and consumer applications. Deployment of Machine Learning (ML) models on Edge devices is also gaining traction due to the advantages of improved performance and data security as data is not sent over to the cloud for processing. While

Light-weight People Detection on Microcontrollers using Custom Neural Networks Read More »

AI based nut counting

High-speed nut counting based on Computer Vision

528 Comments / Blog, Home page / By

“I feel the need, the need for speed”, a famous quote from the Hollywood movie ‘Top Gun’ rings true for most engineers. We strive to make existing algorithms, software and hardware run faster and faster. This blog post explains the design of one such high-speed, high-accuracy solution developed by Ignitarium engineers: a computer vision based

High-speed nut counting based on Computer Vision Read More »

Practical approach to Arm Neon Optimization

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Arm Neon was introduced to improve multimedia encoding/decoding, UI, graphics and gaming related features running on mobile devices. Over the years, it has been used to accelerate signal processing algorithms and functions, to speed up not only the multimedia audio and video applications but foray into deep learning and AI related applications such as voice

Practical approach to Arm Neon Optimization Read More »

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Genesis of a company with Sanjay Jayakumar | Podcast

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In this podcast, Ignitarium Cofounder & CEO, Sanjay Jayakumar talks about his early days in Wipro, moving into leadership positions while there and his plunge into entrepreneurship with founding Ignitarium along with a few trusted colleagues. He also discusses the key aspect of how Ignitarium’s culture of innovation and continuous learning has enabled adding value

Genesis of a company with Sanjay Jayakumar | Podcast Read More »

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Computer Vision and AI-based Railroad Crossing Detection

563 Comments / AI, Blog, Home page / By

In the last 40 years, more than 22,000 people were killed at U.S. railroad crossings*. But data shows that railroad crossings have become safer over time, thanks to the installation of gates and lights at more crossings, timed traffic signals and increased public education efforts. Helping further with these efforts are several noted companies and

Computer Vision and AI-based Railroad Crossing Detection Read More »

5th Generation

OpenRAN 5G: A Beginner\’s Guide

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Cellular technology has leapfrogged in the past few decades offering users unparalleled access to on the go services and opening up infinite possibilities. The current standard mobile device now has many applications like navigation, web browsing, instant messaging, e-commerce, payment gateways, streaming content etc. to name a few. With current 3G and 4G networks, a

OpenRAN 5G: A Beginner\’s Guide Read More »

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Footwear defect detection using Vision Intelligence Systems

524 Comments / AI, Blog, Home page / By

Across global industries, AI-driven computer vision systems are enabling the streamlining of the production process so that the products are compliant with the quality criteria set by the company.  This in turn brings in advantages of greater efficiency, lower operational costs while enabling 24/7 production and quicker decision making.  Producing defect-free footwear is not easy.

Footwear defect detection using Vision Intelligence Systems Read More »

Deep Neural Network Model on FPGA Part-2

Hardware Acceleration of Deep Neural Network Models on FPGA (Part 2 of 2)

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While Part 1 of this 2-part blog series covered Deep Neural Networks and the different accelerators for implementing Deep Neural Network Models, Part 2 will talk about different Deep Learning Frameworks and hardware frameworks provided by FPGA Vendors. Deep Learning Frameworks: Deep learning framework can be considered as a tool or library that helps us to

Hardware Acceleration of Deep Neural Network Models on FPGA (Part 2 of 2) Read More »

Hardware Acceleration of Deep Neural Network Model on FPGA

Hardware Acceleration of Deep Neural Network Models on FPGA ( Part 1 of 2)

553 Comments / Blog, Home page / By

Artificial Intelligence has become all-pervasive, by finding applications in areas which seemed impossible earlier. Deep Learning, which is a subfield of Machine Learning, has become a state-of-the-art solution to all AI problems due to its high accuracy and efficiency. It helps in making real time decisions in applications like Advanced Driver Assistance Systems (ADAS), Robots,

Hardware Acceleration of Deep Neural Network Models on FPGA ( Part 1 of 2) Read More »

Ignitarium joins Arm’s Functional Safety Partnership Program

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Ignitarium is proud to announce that it is now a member of the Arm Functional Safety Partnership Program. Over the years, Ignitarium has built expertise on the Arm family of processors specifically on Automotive SoC. The team provides value-added services to partners and customers in the areas of Functional safety SDK, supporting them in achieving

Ignitarium joins Arm’s Functional Safety Partnership Program Read More »

A cost-effective debug solution using OpenOCD for hardware platforms

A cost-effective debug solution using OpenOCD for hardware platforms

556 Comments / Blog, Home page / By

In today’s world, hardware platforms are growing in complexity and reducing the time to market for these platforms is key to capturing the market segment. Gone are the days when the hardware was considered as a critical piece; customers now expect the board to be delivered as a package containing world-class hardware infrastructure with reliable

A cost-effective debug solution using OpenOCD for hardware platforms Read More »

Inside of a car

Automotive Hardware Functional Safety (FuSa) Features: ISO 26262

979 Comments / Automotive, Blog, Home page / By

In all critical applications like aircrafts, medical equipment and automobiles, there is a requirement for the systems to be reliable and safe. These requirements are important since human lives are at stake, which have led to the development of safety standards in various industries. The basic idea behind functional safety is that the overall system

Automotive Hardware Functional Safety (FuSa) Features: ISO 26262 Read More »

A new lightweight CNN model for Automatic Speech Command Recognition on Microcontrollers

484 Comments / Audio AI, Blog, Home page / By

The need for Automatic Speech Command Recognition (ASCR / ASR) on IoT devices is gaining traction because of the increased interest in non-touch-based applications. This article introduces a new lightweight convolutional neural network (CNN) for ASR on microcontrollers.

A new lightweight CNN model for Automatic Speech Command Recognition on Microcontrollers Read More »

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Vision AI powered Automatic Number Plate Recognition (ANPR) for Japan

533 Comments / AI, Blog, Home page / By

Automatic Number Plate Recognition (ANPR), also called Automatic License Plate Recognition (ALPR), refers to an accurate image processing system used for detecting and reading vehicle number plates. It uses an Optical Character Recognition (OCR) component on images of number plates that are captured at high speed, to detect individual characters on the number plate and

Vision AI powered Automatic Number Plate Recognition (ANPR) for Japan Read More »

Ignitarium opens new office in Japan

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Ignitarium is excited to announce the opening of its new office at Yokohama, Japan, strengthening its presence in the APAC market while it gears up for its fast-approaching 10th anniversary. This strategic expansion is a further step in Ignitarium’s journey as a key player in the Semiconductor, Embedded and AI space with a global footprint spanning APAC, North America and Europe. The company has its headquarters at Bengaluru, India.

Ignitarium opens new office in Japan Read More »

AI based Real Time Noise Suppression

Case Study: Real-time Noise Suppression on Edge Devices Using a Practical AI-based Approach

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We’re thrilled to be featured on Arm’s new case study regarding #Ignitarium’s Noise Suppression IP for Arm Cortex-M processors. Ignitarium has come up with a deep learning-based real-time noise suppression software that can run on low-cost microcontrollers. To counter stationary and non-stationary noises, a traditional DSP approach is not sufficient. This requires certain hybrid models including a

Case Study: Real-time Noise Suppression on Edge Devices Using a Practical AI-based Approach Read More »

Man rolling a tyre

Deep Learning based Computer Vision System for Automated Tyre Defect Detection

564 Comments / AI, Blog, Home page / By

Business photo created by freepik.com As the global manufacturing industry faces the pressures of bringing to market multiple variants of the highest quality products in the shortest possible time, a shift towards AI-driven automation across all functions has become inevitable. In quality inspection, AI-driven computer vision systems are already enabling the streamlining of the production

Deep Learning based Computer Vision System for Automated Tyre Defect Detection Read More »

Simulating Real World Audio for Voice Command Engine

221 Comments / Audio AI, Blog, Home page / By

Despite the ubiquitous presence of voice assistants in our homes and workplaces, the technological intricacies of how automatic speech recognition works continue to amaze us.  One of the most crucial aspects that determines the accuracy of a good voice assistant is based on testing it in generalized real-world environments, which unfortunately is very difficult to

Simulating Real World Audio for Voice Command Engine Read More »

System Verilog EEnet (SV-EEnet) application: Modeling block currents in Mixed Signal Verification

201 Comments / Analog-Mixed Signal Verification, Blog, Home page / By

Mixed-Signal Verification Challenges As the complexity of Mixed-signal designs increase, so does the need to have an exhaustive, structured, and scalable approach towards the verification of such designs. Digital Verification already has such a methodology (Universal Verification Methodology), which has proven to be very successful in taping out complex digital designs with high quality and

System Verilog EEnet (SV-EEnet) application: Modeling block currents in Mixed Signal Verification Read More »

Robots and humens

The Role of Autonomous Mobile Robots in a Post-pandemic World

685 Comments / AI, Blog, Home page, Robotics / By

The vision of Robots and Humans working together has been popularized by numerous Hollywood movies, comic books and the media for many decades now. Success stories about the application of automation in the manufacturing industry date back to the early 1980’s, when welding robots demonstrated efficiency and resilience to deliver on time and increased the overall

The Role of Autonomous Mobile Robots in a Post-pandemic World Read More »

Android Codec 2.0: Developing Multimedia Applications for newer Android Platforms

524 Comments / Automotive, Blog, Home page / By

Tightening security by accelerating updates for security bugs and features has become one of the prime necessities of the connected world. The faster you roll out updates, the better these vulnerabilities can be plugged in. The intent is to create media frameworks which are extensible; partners can continue to extend media codecs and media format

Android Codec 2.0: Developing Multimedia Applications for newer Android Platforms Read More »

A masked women sweeping the floor

AI-driven Face Mask and Attire Detection for the new normal

570 Comments / AI, Blog, Home page / By

As people around the world prepare to get back to work in the new normal, workplaces are leveraging cutting-edge tech-driven solutions to ensure safety standards for all. AI-driven computer vision systems are being deployed by companies to enforce and monitor social distancing, detecting violations of face masks and safety jackets on their premises. As governments

AI-driven Face Mask and Attire Detection for the new normal Read More »

Ignitarium featured as an Emerging Engineering R&D service provider in Zinnov Zones 2020

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Ignitarium announced today the company’s position in the latest Zinnov Zones ratings for Engineering Research & Development Services in 2020. According to the annual report prepared by the global management consulting firm recognized for their insights into the digital transformation market, Ignitarium has been rated as an Expansive and Emerging player in the AI and IoT engineering services. The company has also been recognized as a Niche and Emerging player in the Automotive, Semiconductor, and ADAS markets.

Ignitarium featured as an Emerging Engineering R&D service provider in Zinnov Zones 2020 Read More »

Batch Normalization: A different perspective from Quantized Inference Model

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The benefits of Batch Normalization in training are well known for the reduction of internal covariate shift and hence optimizing the training to converge faster. This article tries to bring in a different perspective, where the quantization loss is recovered with the help of Batch Normalization layer, thus retaining the accuracy of the model. The article also gives a simplified implementation of Batch Normalization to reduce the load on edge devices which generally will have constraints on computation of neural network models.

Batch Normalization: A different perspective from Quantized Inference Model Read More »

Deep Learning based Vision Analytics For Smart Infrastructure | Webinar Recording

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Civil infrastructure maintenance is a constant challenge across the globe. This multi-billion dollar market – covering upkeep of assets like rail tracks, roadways, canals, bridges, cellular towers, power transmission towers, and pipelines – has till recently relied on traditional methods that were manual labor-intensive

Deep Learning based Vision Analytics For Smart Infrastructure | Webinar Recording Read More »

Audio Waves Graphic

Ignitarium Launches Audio AI platform

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We are proud to announce the launch of our new Audio AI platform, SeptraTM. The platform implements auditory deep learning algorithms to deliver ultra-optimized voice and sound analytics solutions on highly constrained edge devices. Cost-sensitive audio applications like off-line voice recognition, noise suppression or sound effect classification are now being implemented on memory and compute-limited hardware such as

Ignitarium Launches Audio AI platform Read More »

Ignitarium is now part of the Arm AI Partner Program

20 Comments / Home page, News / By

The partnership allows Ignitarium to accelerate implementation of compact neural networks on Arm platforms, especially targeting Audio AI solutions on Arm Cortex-M class devices.Ignitarium, a global product engineering company with expertise in Video and Audio AI solutions, today announced it has joined the Arm AI Partner Program. Cost sensitive Audio applications like off-line voice recognition,

Ignitarium is now part of the Arm AI Partner Program Read More »

RAMESH EMANI Board Member

Industry Veteran Ramesh Emani joins the board of Ignitarium

5 Comments / Home page, News / By

Ignitarium has expanded its board of directors with the addition of Insta Health Founder and ex-Wipro veteran, Mr. Ramesh Emani. Ramesh was the Founder and CEO of Insta Health Solutions, a healthcare software company providing hospital and clinic management solutions in India, Middle East, South East Asia and Africa. The company was acquired by Practo

Industry Veteran Ramesh Emani joins the board of Ignitarium Read More »

A metro train

Ignitarium and AVerMedia Launch AI-driven Airborne Railway Track Inspection Solution

502 Comments / Home page, News / By

Ignitarium, a leading product engineering design house and provider of AI software and AVerMedia, a multinational company specializing in hardware for image capture and video transmission announce the rollout of a new class of aircraft-based railway track anomaly detection solutions, for the global railroad maintenance industry. Ignitarium has been working on a whole spectrum of

Ignitarium and AVerMedia Launch AI-driven Airborne Railway Track Inspection Solution Read More »

Industry 4.0

How Traditional Industries are Embracing AI Technologies

526 Comments / Blog, Home page / By

Since the Industrial Revolution, industries have been looking at key parameters like productivity, quality assurance and cost reduction and ways of improving them.  From production lines pioneered by Henry Ford in 1913 to just-in-time manufacturing techniques evolved at Japanese plants like Toyota to the state-of-the-art automated robotics-based production lines in Western Europe, industries have undergone

How Traditional Industries are Embracing AI Technologies Read More »

Industrial IC design: Functional Safety and Smart Embedded Processing

508 Comments / Blog, Home page, SoC / By

Among all market segments addressed by the integrated circuit (IC) industry, Industrial is probably the most diverse with applications ranging from plant automation, power conversion (including conventional and alternative), remote monitoring, robotics, security, battery management, man machine interfaces (MMI), general sense & actuation etc. Add to this the natural adjacency to automotive and medical, and

Industrial IC design: Functional Safety and Smart Embedded Processing Read More »

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Human Pose Detection & Classification

Some Buildings in a city

Features:

  • Suitable for real time detection on edge devices
  • Detects human pose / key points and recognizes movement / behavior
  • Light weight deep learning models with good accuracy and performance

Target Markets:

  • Patient Monitoring in Hospitals
  • Surveillance
  • Sports/Exercise Pose Estimation
  • Retail Analytics

OCR / Pattern Recognition

Some Buildings in a city

Use cases :

  • Analog dial reading
  • Digital meter reading
  • Label recognition
  • Document OCR

Highlights :

  • Configurable for text or pattern recognition
  • Simultaneous Analog and Digital Dial reading
  • Lightweight implementation

Behavior Monitoring

Some Buildings in a city

Use cases :

  • Fall Detection
  • Social Distancing

Highlights :

  • Can define region of interest to monitor
  • Multi-subject monitoring
  • Multi-camera monitoring
  • Alarm triggers

Attire & PPE Detection

Some Buildings in a city

Use cases :

  • PPE Checks
  • Disallowed attire checks

Use cases :

  • Non-intrusive adherence checks
  • Customizable attire checks
  • Post-deployment trainable

 

Request for Video





    Real Time Color Detection​

    Use cases :

    • Machine vision applications such as color sorter or food defect detection

    Highlights :

    • Color detection algorithm with real time performance
    • Detects as close to human vison as possible including color shade discrimination
    • GPGPU based algorithm on NVIDIA CUDA and Snapdragon Adreno GPU
    • Extremely low latency (a few 10s of milliseconds) for detection
    • Portable onto different hardware platforms

    Missing Artifact Detection

    Use cases :

    • Detection of missing components during various stages of manufacturing of industrial parts
    • Examples include : missing nuts and bolts, missing ridges, missing grooves on plastic and metal blocks

    Highlights :

    • Custom neural network and algorithms to achieve high accuracy and inference speed
    • Single-pass detection of many categories of missing artifacts
    • In-field trainable neural networks with dynamic addition of new artifact categories
    • Implementation using low cost cameras and not expensive machine-vision cameras
    • Learning via the use of minimal training sets
    • Options to implement the neural network on GPU or CPU based systems

    Real Time Manufacturing Line Inspection

    Use cases :

    • Detection of defects on the surface of manufactured goods (metal, plastic, glass, food, etc.)
    • Can be integrated into the overall automated QA infrastructure on an assembly line.

    Highlights :

    • Custom neural network and algorithms to achieve high accuracy and inference speed
    • Use of consumer or industrial grade cameras
    • Requires only a few hundred images during the training phase
    • Supports incremental training of the neural network with data augmentation
    • Allows implementation on low cost GPU or CPU based platforms

    Ground Based Infrastructure analytics

    Some Buildings in a city

    Use cases :

    • Rail tracks (public transport, mining, etc.)
    • Highways
    • Tunnels

    Highlights :

    • Analysis of video and images from 2D & 3D RGB camera sensors
    • Multi sensor support (X-ray, thermal, radar, etc.)
    • Detection of anomalies in peripheral areas of core infrastructure (Ex: vegetation or stones near rail tracks)

    Aerial Analytics

    Use cases :

    • Rail track defect detection
    • Tower defect detection: Structural analysis of Power
      transmission towers
    • infrastructure mapping

    Highlights :

    • Defect detection from a distance
    • Non-intrusive
    • Automatic video capture with perfectly centered ROI
    • No manual intervention is required by a pilot for
      camera positioning

    SANJAY JAYAKUMAR

    Co-founder & CEO

     

    Founder and Managing director of Ignitarium, Sanjay has been responsible for defining Ignitarium’s core values, which encompass the organisation’s approach towards clients, partners, and all internal stakeholders, and in establishing an innovation and value-driven organisational culture.

     

    Prior to founding Ignitarium in 2012, Sanjay spent the initial 22 years of his career with the VLSI and Systems Business unit at Wipro Technologies. In his formative years, Sanjay worked in diverse engineering roles in Electronic hardware design, ASIC design, and custom library development. Sanjay later handled a flagship – multi-million dollar, 600-engineer strong – Semiconductor & Embedded account owning complete Delivery and Business responsibility.

     

    Sanjay graduated in Electronics and Communication Engineering from College of Engineering, Trivandrum, and has a Postgraduate degree in Microelectronics from BITS Pilani.

     

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      RAMESH EMANI Board Member

      RAMESH EMANI

      Board Member

      Ramesh was the Founder and CEO of Insta Health Solutions, a software products company focused on providing complete hospital and clinic management solutions for hospitals and clinics in India, the Middle East, Southeast Asia, and Africa. He raised Series A funds from Inventus Capital and then subsequently sold the company to Practo Technologies, India. Post-sale, he held the role of SVP and Head of the Insta BU for 4 years. He has now retired from full-time employment and is working as a consultant and board member.

       

      Prior to Insta, Ramesh had a 25-year-long career at Wipro Technologies where he was the President of the $1B Telecom and Product Engineering Solutions business heading a team of 19,000 people with a truly global operations footprint. Among his other key roles at Wipro, he was a member of Wipro's Corporate Executive Council and was Chief Technology Officer.

       

      Ramesh is also an Independent Board Member of eMIDs Technologies, a $100M IT services company focused on the healthcare vertical with market presence in the US and India.

       

      Ramesh holds an M-Tech in Computer Science from IIT-Kanpur.

      ​Manoj Thandassery

      VP – Sales & Business Development

      Manoj Thandassery is responsible for the India business at Ignitarium. He has over 25 years of leadership and business experience in various industries including the IT and Product Engineering industry. He has held various responsibilities including Geo head at Sasken China, Portfolio head at Wipro USA, and India & APAC Director of Sales at Emeritus. He has led large multi-country teams of up to 350 employees. Manoj was also an entrepreneur and has successfully launched and scaled, via multiple VC-led investment rounds, an Edtech business in the K12 space that was subsequently sold to a global Edtech giant.
      An XLRI alumnus, Manoj divides his time between Pune and Bangalore.

       

      MALAVIKA GARIMELLA​

      General Manager - Marketing

      A professional with a 14-year track record in technology marketing, Malavika heads marketing in Ignitarium. Responsible for all branding, positioning and promotional initiatives in the company, she has collaborated with technical and business teams to further strengthen Ignitarium's positioning as a key E R&D services player in the ecosystem.

      Prior to Ignitarium, Malavika has worked in with multiple global tech startups and IT consulting companies as a marketing consultant. Earlier, she headed marketing for the Semiconductor & Systems BU at Wipro Technologies and worked at IBM in their application software division.

      Malavika completed her MBA in Marketing from SCMHRD, Pune, and holds a B.E. degree in Telecommunications from RVCE, Bengaluru.

       

      PRADEEP KUMAR LAKSHMANAN

      VP - Operations

      Pradeep comes with an overall experience of 26 years across IT services and Academia. In his previous role at Virtusa, he played the role of Delivery Leader for the Middle East geography. He has handled complex delivery projects including the transition of large engagements, account management, and setting up new delivery centers.

      Pradeep graduated in Industrial Engineering and Management, went on to secure an MBA from CUSAT, and cleared UGN Net in Management. He also had teaching stints at his alma mater, CUSAT, and other management institutes like DCSMAT. A certified P3O (Portfolio, Program & Project Management) from the Office of Government Commerce, UK, Pradeep has been recognized for key contributions in the Management domain, at his previous organizations, Wipro & Virtusa.

      In his role as the Head of Operations at Ignitarium, Pradeep leads and manages operational functions such as Resource Management, Procurement, Facilities, IT Infrastructure, and Program Management office.

       

      SONA MATHEW Director – Human Resources

      SONA MATHEW

      VP – Human Resources

      Sona heads Human Resource functions - Employee Engagement, HR Operations and Learning & Development – at Ignitarium. Her expertise include deep and broad experience in strategic people initiatives, performance management, talent transformation, talent acquisition, people engagement & compliance in the Information Technology & Services industry.

       

      Prior to Ignitarium, Sona has had held diverse HR responsibilities at Litmus7, Cognizant and Wipro.

       

      Sona graduated in Commerce from St. Xaviers College and did her MBA in HR from PSG College of Technology.

       

      ASHWIN RAMACHANDRAN

      Vice President - Sales

      As VP of Sales, Ashwin is responsible for Ignitarium’s go-to-market strategy, business, client relationships, and customer success in the Americas. He brings in over a couple of decades of experience, mainly in the product engineering space with customers from a wide spectrum of industries, especially in the Hi-Tech/semiconductor and telecom verticals.

       

      Ashwin has worked with the likes of Wipro, GlobalLogic, and Mastek, wherein unconventional and creative business models were used to bring in non-linear revenue. He has strategically diversified, de-risked, and grown his portfolios during his sales career.

       

      Ashwin strongly believes in the customer-first approach and works to add value and enhance the experiences of our customers.

       

      AZIF SALY Director – Sales

      AZIF SALY

      Vice President – Sales & Business Development

      Azif is responsible for go-to-market strategy, business development and sales at Ignitarium. Azif has over 14 years of cross-functional experience in the semiconductor product & service spaces and has held senior positions in global client management, strategic account management and business development. An IIM-K alumnus, he has been associated with Wipro, Nokia and Sankalp in the past.

       

      Azif handled key accounts and sales process initiatives at Sankalp Semiconductors. Azif has pursued entrepreneurial interests in the past and was associated with multiple start-ups in various executive roles. His start-up was successful in raising seed funds from Nokia, India. During his tenure at Nokia, he played a key role in driving product evangelism and customer success functions for the multimedia division.

       

      At Wipro, he was involved in customer engagement with global customers in APAC and US.

       

      RAJU KUNNATH Vice President – Enterprise & Mobility

      RAJU KUNNATH

      Distinguished Engineer – Digital

      At Ignitarium, Raju's charter is to architect world class Digital solutions at the confluence of Edge, Cloud and Analytics. Raju has over 25 years of experience in the field of Telecom, Mobility and Cloud. Prior to Ignitarium, he worked at Nokia India Pvt. Ltd. and Sasken Communication Technologies in various leadership positions and was responsible for the delivery of various developer platforms and products.

       

      Raju graduated in Electronics Engineering from Model Engineering College, Cochin and has an Executive Post Graduate Program (EPGP) in Strategy and Finance from IIM Kozhikode.

       

      PRADEEP SUKUMARAN Vice President – Business Strategy & Marketing

      PRADEEP SUKUMARAN

      Senior Vice President - Software Engineering

      Pradeep heads the Software Engineering division, with a charter to build and grow a world-beating delivery team. He is responsible for all the software functions, which includes embedded & automotive software, multimedia, and AI & Digital services

      At Ignitarium, he was previously part of the sales and marketing team with a special focus on generating a sales pipeline for Vision Intelligence products and services, working with worldwide field sales & partner ecosystems in the U.S  Europe, and APAC.

      Prior to joining Ignitarium in 2017, Pradeep was Senior Solutions Architect at Open-Silicon, an ASIC design house. At Open-Silicon, where he spent a good five years, Pradeep was responsible for Front-end, FPGA, and embedded SW business development, marketing & technical sales and also drove the IoT R&D roadmap. Pradeep started his professional career in 2000 at Sasken, where he worked for 11 years, primarily as an embedded multimedia expert, and then went on to lead the Multimedia software IP team.

      Pradeep is a graduate in Electronics & Communication from RVCE, Bangalore.

       

      SUJEET SREENIVASAN Vice President – Embedded

      SUJEET SREENIVASAN

      Senior Vice President – Automotive Technology

       

      Sujeet is responsible for driving innovation in Automotive software, identifying Automotive technology trends and advancements, evaluating their potential impact, and development of solutions to meet the needs of our Automotive customers.

      At Ignitarium, he was previously responsible for the growth and P&L of the Embedded Business unit focusing on Multimedia, Automotive, and Platform software.

      Prior to joining Ignitarium in 2016, Sujeet has had a career spanning more than 16 years at Wipro. During this stint, he has played diverse roles from Solution Architect to Presales Lead covering various domains. His technical expertise lies in the areas of Telecom, Embedded Systems, Wireless, Networking, SoC modeling, and Automotive. He has been honored as a Distinguished Member of the Technical Staff at Wipro and has multiple patents granted in the areas of Networking and IoT Security.

      Sujeet holds a degree in Computer Science from Government Engineering College, Thrissur.

       

      RAJIN RAVIMONY Distinguished Engineer

      RAJIN RAVIMONY

      Distinguished Engineer

       

      At Ignitarium, Rajin plays the role of Distinguished Engineer for complex SoCs and systems. He's an expert in ARM-based designs having architected more than a dozen SoCs and played hands-on design roles in several tens more. His core areas of specialization include security and functional safety architecture (IEC61508 and ISO26262) of automotive systems, RTL implementation of math intensive signal processing blocks as well as design of video processing and related multimedia blocks.

       

      Prior to Ignitarium, Rajin worked at Wipro Technologies for 14 years where he held roles of architect and consultant for several VLSI designs in the automotive and consumer domains.

       

      Rajin holds an MS in Micro-electronics from BITS Pilani.

       

      SIBY ABRAHAM Executive Vice President, Strategy

      SIBY ABRAHAM

      Executive Vice President, Strategy

       

      As EVP, of Strategy at Ignitarium, Siby anchors multiple functions spanning investor community relations, business growth, technology initiatives as well and operational excellence.

       

      Siby has over 31 years of experience in the semiconductor industry. In his last role at Wipro Technologies, he headed the Semiconductor Industry Practice Group where he was responsible for business growth and engineering delivery for all of Wipro’s semiconductor customers. Prior to that, he held a vast array of crucial roles at Wipro including Chief Technologist & Vice President, CTO Office, Global Delivery Head for Product Engineering Services, Business Head of Semiconductor & Consumer Electronics, and Head of Unified Competency Framework. He was instrumental in growing Wipro’s semiconductor business to over $100 million within 5 years and turning around its Consumer Electronics business in less than 2 years. In addition, he was the Engineering Manager for Enthink Inc., a semiconductor IP-focused subsidiary of Wipro. Prior to that, Siby was the Technical Lead for several of the most prestigious system engineering projects executed by Wipro R&D.

       

      Siby has held a host of deeply impactful positions, which included representing Wipro in various World Economic Forum working groups on Industrial IOT and as a member of IEEE’s IOT Steering Committee.

       

      He completed his MTech. in Electrical Engineering (Information and Control) from IIT, Kanpur and his BTech. from NIT, Calicut

       

      RAJANEESH KINI

      Chief Operating Officer, Neurealm

       

      Rajaneesh Kini has 27+ years of experience in IT and Engineering, spanning Healthcare, Communications, Industrial, and Technology Platforms. He excels in leadership, technology, delivery, and operations, building engineering capabilities, delivering solutions, and managing large-scale operations.

      In his previous role as President and CTO at Cyient Ltd, Rajaneesh shaped the company’s tech strategy, focusing on Cloud, Data, AI, embedded software, and wireless network engineering. He is a regular speaker in various industry forums especially in the field of AI/ML. Prior to Cyient, he held leadership positions at Wipro and Capgemini Engineering (Aricent/Altran), where he led global ER&D delivery and Product Support & Managed Services Business.

      Rajaneesh holds a Bachelor’s degree in Electronics & Medical Engineering from Cochin University and a Master’s in Computers from BITS Pilani. He has also earned a PGDBM from SIBM, a Diploma in Electric Vehicles from IIT Roorkee, and a Diploma in AI & ML from MIT, Boston.

       

      NITIN NAVEEN

      Chief Business Officer, Technology, Neurealm

       

      Nitin is a highly accomplished business leader with over two decades of experience in scaling and transforming portfolios within the technology industry. He excels at aligning organizational goals with market trends, driving business growth, and building robust sales strategies.

      He has held senior leadership roles at DXC Technology, overseeing large and complex industry segments. Before DXC, he worked at HCL, specializing in large account management. While at Hughes Systique, he won several engagements with new clients and at Aricent, delivered data communication programs for market-leading customers. Throughout his career, Nitin has worked with many top clients including Cisco, HPE, NEC, Siemens, Juniper, Tellabs, Arris, Intel, Google, and Broadcom, among others.

      He has consistently delivered exceptional results, including ranking #1 in sales performance multiple times and driving a seven-fold increase in sales revenue during his tenure at HCL. His expertise in closing multi-million dollar deals involving product carve-out, build-operate-transfer, product lifecycle management, digital transformation, and SAP is truly remarkable.

      Nitin’s leadership approach is centered on motivating teams, fostering collaboration, and delivering exceptional results. He is a strong believer in ethical conduct, transparency, and a structured approach to problem-solving.

      He is an alumnus of the University of Delhi with a Master’s in Computers and Networking and holds a Bachelor’s in Physics (Honors). Beyond work, Nitin enjoys spending time with his family, pursuing outdoor activities like camping and fishing, and engaging in DIY projects.

       

      SUDIP NANDY

      Board Member

       

      An accomplished leader with over 40 years of experience, Sudip has helped build and grow companies in India, the US and the UK.

      He has held the post of Independent Director and Board Member for several organizations like Redington Limited, Excelra, Artison Agrotech, GeBBS Healthcare Solutions, Liquid Hub Inc. and ResultsCX.

      Most recently, Sudip was a Senior Advisor at ChrysCapital, a private equity firm where he has also been the Managing Director and Operating Partner for IT for the past 5 years. During his tenure, he has been Executive Chairman of California-headquartered Infogain Corporation and the non-Exec Chair on the board of a pioneering electric-2-wheeler company Ampere Vehicles, which is now a brand of Greaves Cotton Ltd.

      Earlier on in his career, Sudip has been the CEO and then Chairman India for Aricent. Prior to that, he had spent 25+ years in Wipro where he has been the Head of US business, Engineering R&D Services, and later the Head of EU Operations.

      Sudip is an active investor in several interesting startups in India and overseas, which mostly use technology for the social good, encompassing hyperlocal, healthcare, rural development, farmer support and e2W ecosystem. He also spends time as a coach and mentor for several CEOs in this role.

       

      SUJEETH JOSEPH Chief Product Officer

      SUJEETH JOSEPH

      Chief Technology Officer

       

      As CTO, Sujeeth is responsible for defining the technology roadmap, driving IP & solution development, and transitioning these technology components into practically deployable product engineering use cases.

       

      With a career spanning over 30+ years, Sujeeth Joseph is a semiconductor industry veteran in the SoC, System and Product architecture space. At SanDisk India, he was Director of Architecture for the USD $2B Removable Products Group. Simultaneously, he also headed the SanDisk India Patenting function, the Retail Competitive Analysis Group and drove academic research programs with premier Indian academic Institutes. Prior to SanDisk, he was Chief Architect of the Semiconductor & Systems BU (SnS) of Wipro Technologies. Over a 19-year career at Wipro, he has played hands-on and leadership roles across all phases of the ASIC and System design flow.

       

      He graduated in Electronics Engineering from Bombay University in 1991.

       

      SUJITH MATHEW IYPE Co-founder & CTO

      SUJITH MATHEW IYPE

      Co-founder & COO

       

      As Ignitarium's Co-founder and COO, Sujith is responsible for driving the operational efficiency and streamlining process across the organization. He is also responsible for the growth and P&L of the Semiconductor Business Unit.

       

      Apart from establishing a compelling story in VLSI, Sujith was responsible for Ignitarium's foray into nascent technology areas like AI, ML, Computer Vision, and IoT, nurturing them in our R&D Lab - "The Crucible".

       

      Prior to founding Ignitarium, Sujith played the role of a VLSI architect at Wipro Technologies for 13 years. In true hands-on mode, he has built ASICs and FPGAs for the Multimedia, Telecommunication, and Healthcare domains and has provided technical leadership for many flagship projects executed by Wipro.

       

      Sujith graduated from NIT - Calicut in the year 2000 in Electronics and Communications Engineering and thereafter he has successfully completed a one-year executive program in Business Management from IIM Calcutta.

       

      RAMESH SHANMUGHAM Co-founder & COO

      RAMESH SHANMUGHAM

      Co-founder & CRO

      As Co-founder and Chief Revenue Officer of Ignitarium, Ramesh has been responsible for global business and marketing as well as building trusted customer relationships upholding the company's core values.

      Ramesh has over 25 years of experience in the Semiconductor Industry covering all aspects of IC design. Prior to Ignitarium, Ramesh was a key member of the senior management team of the semiconductor division at Wipro Technologies. Ramesh has played key roles in Semiconductor Delivery and Pre-sales at a global level.

      Ramesh graduated in Electronics Engineering from Model Engineering College, Cochin, and has a Postgraduate degree in Microelectronics from BITS Pilani.