Blogs

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

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.

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