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pybind11 — Seamless operability between C++11 and Python

In the ever-evolving landscape of programming languages, Python has established itself as a favorite among developers for its simplicity, readability, and extensive libraries. Moreover, we love Python.

Advanced Computer Vision Use Cases: Approaches And Problem Solving | Panel Discussion

At the panel discussion held at Ai4 2023, Pradeep Sukumaran, VP – Software Engineering, Ignitarium speak about computer vision applications and share some of the most exciting use cases and approaches to computer vision today.

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Smart Infrastructure Inspection Using Aerial Imaging

Civil infrastructure like roadways, bridges, tunnels, pipelines, transmission towers, residential and commercial buildings require continuous monitoring to ensure structural integrity.

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Ignitarium-Renesas Pretrained AI libraries Release-2

If you found our previous blog ‘Ignitarium Releases Pre-trained AI Applications Library for Renesas RZ/V2L’ interesting, we are back with the second release of pretrained AI libraries targeted for Renesas RZV2L device.

Redefining Rail Inspection with AI-Based Computer Vision

Railroads are the connective tissue of our world’s infrastructure. But despite their critical role in global transportation and supply chains, most railroad track maintenance begins with a human inspector.

Ignitarium is a Silver Sponsor at Ai4 2023

Ignitarium is proud to be a sponsor and an exhibitor at the Ai4 2023, being held on Aug 7 – 9, 2023, at MGM Grand, Las Vegas. We will be showcasing our Cloud and Edge demos on Battery Management and Driver Monitoring systems at Booth #800.

Getting started with formal verification

As design complexity is increasing, the goal of 100% functional coverage becomes harder to achieve even after using constrained random stimulus and directed scenarios, therefore there is a need to adopt new methods of validation.

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

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 …

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3D LiDAR SLAM – Loop Closure Explained

Robots are all equipped with simultaneous localization and mapping (SLAM) algorithms that help them build a map of its surroundings. For SLAM to produce reliable results, loop closure detection and correction are essential.

Detection of close-proximity automotive targets using LSTM | Technical Paper

Constant false alarm rate (CFAR) detector is widely used in automotive radar for target detection from the range-Doppler (RD) map. Due to the large target size relative to the range resolution of the radar, the target response is spread in the RD map.

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3D LiDAR SLAM – Localization Explained

Localization is the process of determining a mobile robot’s location in relation to its surroundings. Let’s imagine that the area has been mapped out and that the robot has sensors to both monitor its surroundings and gauge its own mobility.

3D LiDAR SLAM – Graph SLAM Explained

Graph-based SLAM (also known as Graph SLAM) uses a graph to represent the environment and the robot’s pose estimates. It is widely used in many robotics applications like autonomous vehicles, mobile robots and unmanned aerial vehicles.

3D LiDAR SLAM – Scan Matching Explained

Simultaneous Localization and Mapping (SLAM) is a popular technique in robotics that involves building a map of an unknown environment while simultaneously localizing the robot within that environment.

Perceiving the World in-’Depth’ with 3D LiDAR

Simultaneous Localization and Mapping (SLAM) is a technology used in robotics and autonomous systems to create maps of unknown environments while simultaneously tracking the location of the robot within that environment.

Horizontal scaling of Video processing applications

Video is a common data input in the field of Computer Vision & Image processing. For example, in applications such as infrastructure maintenance and defect detection, video is captured from a camera source mounted on a drone or a locomotive.

A guide to a Design Engineer’s approach to Failure Mode & Effects Analysis

In the automotive industry, safety plays an immensely crucial role. All crucial systems of the automobile need to pass stringent functional safety requirements.

We have achieved TISAX Assessment Level 3 certification

We are excited to announce that we have achieved TISAX (Trusted Information Security Assessment Exchange) assessment Level-03 permanent label.

Real-time Driver Monitoring Systems on Edge AI Device | Technical Paper

As road accident cases are increasing due to the inattention of the driver, automated driver monitoring systems (DMS) have gained an increase in acceptance.

AI Model optimisation using OpenVINO

In this article we explore the advantages of making use of the native APIs and runtime engine of OpenVINO to maximize the performance and efficiency of DNN model inference.

Is solid-state LiDAR the key to autonomous driving?

The technology for autonomous vehicles has been around for a while, and major automakers and tech companies worldwide have invested billions of dollars in making it a reality.

Solar Panel defect detection using AI techniques

Solar energy is a source of clean energy, naturally harnessing the power of the sun. When solar panels are deployed to generate electricity, greenhouse gases are not emitted into the atmosphere.

Ignitarium Releases Pre-trained AI Applications Library for Renesas RZ/V2L

Ignitarium is excited to release sample vision AI applications targeted for Renesas RZV2L SMARC Dev Kit.

Adaptive filters for signal processing: a comparative study

In some applications, the system or environment where processing is happening is unknown or time-dependant. In such applications, adaptive filters are required because they possess self-adjusting capabilities.

AI based Battery Management System (BMS) – Inference pipeline on Azure Cloud

Batteries are at the heart of many modern electrical systems – Electric Vehicles (EV), Energy Harvesting Systems are some examples of such applications. In EVs, it is imperative that the driver is aware of the status of the battery powering his/her vehicle.

Ignitarium Insights on the DeepTech Ecosystem in India | TechTalk

Listen to Ignitarium’s Chief Product Officer, Sujeeth Joseph’s take on using AI to solve real world problems backed by successful use cases, the challenges faced by the DeepTech ecosystem and essential best practices for DeepTech founders.

Data Annotation for Video AI projects

Data annotation is the process of adding tags or labels to raw data such as images, videos, text, and audio. These tags form a representation of what class of objects the data belongs to and helps a machine learning model learn to identify that particular class of objects when encountered in data without a tag.

Ignitarium rated as a key engineering service provider for Semiconductor, Automotive and AI domains by Zinnov Zones ratings 2022

Ignitarium’s position as a provider of engineering R&D services to Semiconductor, Automotive and AI domains has been strengthened by the Zinnov Zones 2022 ratings.

Deep-Learning based Wall crack detection

Cracks become a cause for concern when it comes to the safety, durability and structural integrity of building structures. When cracks develop and propagate, they tend to cause a reduction in the effective load bearing area, which, in turn, brings about an increase in stress and subsequently failure of concrete structures.

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OpenGL for Video Processing in Android

OpenGL is a graphics library specification for rendering 2D and 3D graphics which achieves the required performance by using the GPU for hardware acceleration. A specification that defines APIs, implementation is the responsibility of GPU vendor. For this same reason, OpenGL APIs will behave differently on different GPUs.

We are Great Place to Work® Certified again!

Ignitarium has been certified by Great Place to Work® in India from Oct 2022 to Oct 2023 in the category ‘Mid-size Organizations’ for the second year in a row. This prestigious recognition is awarded wholly based on the experiences shared by current employees of Ignitarium.

Inside image processing pipelines

Have you ever wondered how a mere smartphone takes images as impressive as your high-end DSLR camera. Even if your smartphone camera doesn’t possess physical optics, it can outperform several high-end cameras.

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

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).

We are Among the Top 50 Best Workplaces™ for Women 2022!

Ignitarium has been recognized by Great Place to Work® among the Top 50 Best Workplaces™ for Women 2022 in the category ‘Mid-size Organizations.’ This prestigious recognition is awarded on the basis of the experiences shared by current employees of Ignitarium.

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

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.

Automating Cheque Leaf processing using Deep Learning & OCR techniques

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.

AI-based surface vegetation encroachment detection around rail tracks

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.

Advancements In DRAM Technology

In the current era of digital revolution, there is a growing demand for high capacity, high bandwidth, low cost, error free, low power semiconductor memories that occupies minimal area. The existing memory types and technologies are being improved further and new types and technologies are being introduced.

Ignitarium opens a new office in Canada

We have officially opened our new office in Canada, located at 55 York Street in Toronto, Ontario. This strategic expansion is another step forward in Ignitarium’s journey as a key player in the Automotive and Robotics verticals servicing customers in the AI/ML, Semiconductor and Embedded Software space with a global footprint scaling North America, Europe and APAC.

ANPR using NanoDet, an Anchor-free Object Detection model

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.

4 Must-Have Mobile Cobot Capabilities For Use In Fulfilment Centers

A quick-read eBook that outlines the 4 key capabilities that every mobile cobot must have to operate in the highly dynamic world of fulfilment centers and warehouses.

Deep Learning-based Defect Detection in Telecom Towers

Telecom towers are considered critical infrastructure for ensuring nation-wide communications. Telecom Service Providers rely on these towers for hosting their antennas, power modules and other communication components. To ensure uninterrupted communication services

TensorFlow Serving of AI models with Celery Workers

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.

Intelligent clock calibration based TDM for multi-FPGA emulation

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 »

In conversation with Pradeep Sukumaran, VP – AI and Cloud Software | Podcast

In this podcast by Analytics India Magazine (AIM), explore truths like why nobody wants to be seen outside of AI today; why Ignitarium doesn’t throw AI at all problems; AI misconceptions and Ignitarium’s AI / Deep Learning dive 6 years ago and our journey thenceforth!

Cobots and Vision: Pose estimation for pick and stow operations

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.

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