Latest News-Ignitarium | Video and imaging experts in Bangalore | ARM SoC architects in Bangalore | AI, ML and DL experts in Kochi | Video and imaging experts in Kochi

Ignitarium is Great Place to Work® – Certified. Read PR here.

INSIGHTS

Perspectives and Inspiration

Android Codec 2.0 – Architecture and Implementation | Webinar Recording

In this webinar ‘Android Codec 2.0: Implementation and Architecture, you will learn about the Android Multimedia framework, why Codec 2.0, its advantages, architecture and issues / solutions.

Ignitarium is a Gold Sponsor at IESA AI Summit 2022

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 …

Insights Read More »

3D-Graphics-Driver-for-Linux-featured-image

3D Graphics Driver for Linux: DRM Implementation

YouTube undoubtedly is the leading video streaming platform, and with the advent of new technologies from sensor, semiconductors and broadcasting technologies, the quality of video keeps improving manyfold.

Use of Celery in Serverless systems featured image

Use of Celery in Serverless systems for scaling AI workloads

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 …

Insights Read More »

Use of Homography Matrix for image stitching

The input to image stitching is a pair of images which are treated as Train image and Query image. These two images will undergo a Registration process, which involves identifying features from the individual images. This process of image registration uses popular techniques like SIFT, ORB etc., which have been embedded in OpenCV libraries.

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

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’?

Automatic Analog Meter Reading using FPGA-accelerated digital image processing

This article describes a complete embedded vision system that enables automatic measurement of analog meters. Specific use cases include analog meters installed at weigh bridges, gas plants…

Next-Gen AMRs for Smart Warehouses

Warehouse automation technology is evolving rapidly, and AMRs (Autonomous Mobile Robots) are taking the front row to build Smart Manufacturing facilities. Industry analysts project the market for warehouse automation technology will double in size from 2021 to 2026*. More and more material handling tasks are being managed by robots as the industry is heavily investing …

Insights Read More »

5 ways to enable safety for cobots

All industrial work on factory floors was previously done by humans, which was a good enough strategy at a time when the necessity could be met with human speed. However, because of the exponential increase in daily output, the industry’s demand for robots is at an all-time high. Specifically, cobots i.e., robots that work alongside humans to enhance …

Insights Read More »

Hardware Accelerators in the World of Perception AI | Tech Talk

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.

Fall Detection & Warning System using Geofencing for Rail Passenger Safety

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 …

Insights Read More »

Visual SLAM: Possibilities, Challenges and the Future

Simultaneous Localization and Mapping (SLAM) has always been a hot topic in robotics and related fields. Exceptionally reliable technologies and solutions have…

Ignitarium is a Gold Sponsor at Machine Learning Developers Summit 2022

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 …

Insights Read More »

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

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 …

Insights Read More »

MLOps – ML Production Revolution

This blog is to stress the importance of MLOps in the ML project lifecycle, assert the necessity of MLOps in the context of the entire Software industry, explain its relevance within the context of DevOps, and how the changing Software development environment and processes help the ascend towards the peak of the Digital Revolution. MLOps …

Insights Read More »

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

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 …

Insights Read More »

Network on Chip – an Overview

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 …

Insights Read More »

Enabling safety in workplaces with mobile robots using Virtual Fencing

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 …

Insights Read More »

Real-time Noise Suppression | Webinar Recording

In the 2nd part of the ‘Audio AI on Low Power Hardware’ webinar series, you will learn about Noise Suppression software that can run on low-cost microcontrollers.

We are Great Place to Work® – Certified

We have secured the Great Place to Work® Certification in India from Oct 2021 to Oct 2022 in the category ‘Small and Mid-size Organizations.’ This prestigious recognition is awarded wholly on the basis of the experiences shared by current employees of Ignitarium. Great Place to Work® is the global authority on workplace culture, employee experience, …

Insights Read More »

Light-weight People Detection on Microcontrollers using Custom Neural Networks

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 …

Insights Read More »

AI-enabled Social Distancing Detection

Social distancing has been found to be an effective measure to curb the spread of COVID-19. According to the Centers for Disease Control and Prevention, a minimum distance of 6 ft should be maintained between two individuals to control spread of COVID-19. As parts of the world limp back to normal and people slowly return …

Insights Read More »

Automated Test Jig for Edge-based Voice Command Engines

With the skyrocketing number of devices that are being used at home, work and play, consumers are moving away from pressing buttons to using voice UI to control these devices.

Voice UI: Targeting battery-powered edge devices | Webinar Recording

In the 1st part of the ‘Audio AI on Low Power Hardware’ webinar series, you will learn about AI-based audio applications like Offline Voice UI that leverage the best of both worlds, i.e. traditional signal processing and deep learning methods.

High-speed nut counting based on Computer Vision

“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 …

Insights Read More »

Practical approach to Arm Neon Optimization

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 …

Insights Read More »

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

Presenting software for real-time noise suppression on low-cost edge devices using deep learning, this case study details noise suppression challenges and how they were addressed by Ignitarium’s engineers as a part of the solution.

Cough Detection from Acoustic signals for patient monitoring system | Technical Paper

A high-accuracy method of automatic cough detection using neural networks is presented in this technical paper, that clearly demonstrates achieving parameters that can enable fitment into smart IoT devices.

Genesis of a company with Sanjay Jayakumar | Podcast

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 …

Insights Read More »

Computer vision & AI Rail crossing Photo

Computer Vision and AI-based Railroad Crossing Detection

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 …

Insights Read More »

Building an AI-based Sound Event Classifier

The term Sound Event Classification (SEC), also called Acoustic Event Classification or Audio Event Classification, is the process of acquiring audio signals from an audio source, analysing the acquired signals to detect events that…

OpenRAN 5G: A Beginner’s Guide

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 …

Insights Read More »

Rapid Robot Prototyping with ROS | Webinar Recording

In this webinar series, you will be introduced to ROS – what it is and what it is not. You will be guided through the world of ROS architecture, its components and tools, so you can get a quick start in this space.

Footwear defect detection using Vision Intelligence Systems

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. …

Insights Read More »

Deep Neural Network Model on FPGA Part-2

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

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 …

Insights Read More »

Deep Learning-based Vision Analytics for Wind Turbine Inspection | Webinar Recording

Hardware Acceleration of Deep Neural Network Model on FPGA

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

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, …

Insights Read More »

Ignitarium joins Arm’s Functional Safety Partnership Program

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 …

Insights Read More »

A cost-effective debug solution using OpenOCD for hardware platforms

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 …

Insights Read More »

Automotive Hardware Functional Safety (FuSa) Features: ISO 26262

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 …

Insights Read More »

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

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.

Cars running on a road along with numbers highlighted

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

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 …

Insights Read More »

AI-based Automatic Contour-following of Roads and Canals

Roads and water canals have historically been opening up channels of commerce in economies across the world and continue to do so even today. The socio-economic development of many countries has been linked to the development and maintenance of infrastructure.

Ignitarium opens new office in Japan

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.

Solar panel defect detection using Vision Intelligence Systems

Lean, green and renewable energy are some of the buzzwords of the last decade. Beyond the buzz, there’s the real grassroots level transformation that their adoption is bringing across our beautiful blue planet, critical to the survival of mankind as we know it.

Cookie	Duration	Description
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.