Blogs

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

A Hands-on Guide to Backend Performance Optimization of a SaaS platform for scalable AI workloads 

This article contains a more detailed treatment of backend performance optimisation considerations in platforms targeted to handle scalable AI workloads. A brief introduction of the same can be found in

3D Graphics Driver for Linux: DRM Implementation

YouTube undoubtedly is the leading video streaming platform, and with the advent of new technologies from sensor, semiconductors and broadcasting technologies, the quality of video keeps improving manyfold.

Use of Celery in Serverless Systems For Scaling AI Workloads

Modern SaaS deployments rely on Serverless computing, allowing software components to be scaled easily with very little management overhead. AI workload execution has also started relying heavily on this technology

Use of Homography Matrix for image stitching

The input to image stitching is a pair of images which are treated as Train image and Query image. These two images will undergo a Registration process, which involves identifying

AI transforms driver safety and comfort: 4 things that will never be the same

AI is increasingly becoming a part of our everyday lives, across different domains. Have you ever thought about the possibility of a custom driver and passenger experience based on your

Automatic Analog Meter Reading using FPGA-accelerated Digital Image Processing 

This article describes a complete embedded vision system that enables automatic measurement of analog meters. Specific use cases include analog meters installed at weigh bridges, gas plants...

Next-Gen AMRs for Smart Warehouses 

Warehouse automation technology is evolving rapidly, and AMRs (Autonomous Mobile Robots) are taking the front row to build Smart Manufacturing facilities. Industry analysts project the market for warehouse automation technology

5 ways to enable safety for cobots  

All industrial work on factory floors was previously done by humans, which was a good enough strategy at a time when the necessity could be met with human speed. However, because of

Fall Detection & Warning System using Geofencing for Rail Passenger Safety 

A fall detection system can be defined as an assistive mechanism whose main objective is to generate an alert when a fall event has occurred. There are many cases of

Visual SLAM: Possibilities, Challenges and the Future

Simultaneous Localization and Mapping (SLAM) has always been a hot topic in robotics and related fields. Exceptionally reliable technologies and solutions have...