NEWS
PRs and Announcements
This Series of blogs explores the exciting field of Feature based Visual Simultaneous Localization and Mapping (VSLAM). It also discusses the two state-of-the-art algorithms that are widely used in this area: RTAB-Map and ORB-SLAM3.
One of the biggest challenges faced by OEMs today is automotive cyber security with the amount of hardware and software integrated into vehicles increasing significantly over the last few decades. There can be as many as 100 ECUs embedded in modern vehicles.
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 »
Performance Evaluation is important to do comparative study of different algorithms and decide which algorithm is better than others.
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.
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.
Civil infrastructure like roadways, bridges, tunnels, pipelines, transmission towers, residential and commercial buildings require continuous monitoring to ensure structural integrity.
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.
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 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.
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 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 »
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.
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.
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.
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.
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.
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.
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.
In the automotive industry, safety plays an immensely crucial role. All crucial systems of the automobile need to pass stringent functional safety requirements.
We are excited to announce that we have achieved TISAX (Trusted Information Security Assessment Exchange) assessment Level-03 permanent label.
As road accident cases are increasing due to the inattention of the driver, automated driver monitoring systems (DMS) have gained an increase in acceptance.
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.
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 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 is excited to release sample vision AI applications targeted for Renesas RZV2L SMARC Dev Kit.
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.
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.
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 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’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.
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 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.
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.
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.
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).
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.
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.
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.
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.
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.
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.
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.
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.
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