This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects from a webcam feed or uploaded images ...

This project demonstrates how to use the YOLOv3 (You Only Look Once) deep learning model for real-time object detection using OpenCV’s DNN module. It detects and classifies objects in an image using ...

In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...

In this article, author Jitender Jain discusses AI driven document processing techniques for an intelligent, adaptive ...

Patent-pending imaging technologies created in Purdue University's College of Engineering could be developed and ...

Purdue engineers are developing CT-Bound and MetaHDR, imaging technologies with applications as broad as medical imaging, ...

Astronomers finally spotted a previously 'invisible' object near our solar system when they realized it was actually glowing ...

this was accomplished using just 53 million parameters and at a processing speed of 14.9 frames per second on a standard laptop. These results demonstrate a viable AI model capable of real-time ...