Blogs
Articles and Thoughts
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
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
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
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
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
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
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,
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
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
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
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
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.
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
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
