At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could support crater dating, navigation planning and future Moon landing missions.
Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...
Empowering the world's largest computer vision ecosystem with a unified, one-click NPU hardware standard for building the next generation of real-world AI applications.
This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in modern work environments that require processing large amounts of complex data ...
Abstract: Navigation for the Blind and Visually Impaired (BVI) poses a huge challenge due to lack of environmental cues. This research article proposes "NAIN" (Navigational Aid for the ...
This project is a real-time object detection system that leverages the YOLOv5 model for detecting objects in a video stream from a webcam or other video input. The system is built using a Flask web ...
This project implements object detection using the SSD MobileNet V3 model, trained on the COCO dataset, capable of detecting objects in both static images and real-time video streams from a webcam.
Abstract: Object recognition is a powerful innovation within computer vision. It identifies and tracks objects in images and videos, with applications like facial recognition, vehicle detection, ...
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