Insights

Perspectives and Inspiration

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

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.

3D LiDAR SLAM – Localization Explained 

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

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  

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 

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.

<strong>Horizontal scaling of Video processing applications</strong>

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

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 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

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

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?

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.

<strong>Solar Panel defect detection using AI techniques</strong> 

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 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

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.

<strong>AI based Battery Management System (BMS) – Inference pipeline on Azure Cloud</strong> 

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

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.

<strong>Data Annotation for Video AI projects</strong>

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 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.

<strong>Deep-Learning based Wall crack detection</strong> 

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.

OpenGL for Video Processing in Android

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.  

<strong>We are Great Place to Work® Certified again!</strong>

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.

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