Innovative companies are clobbering the competition by placing AI processing close to image capture. Will photography ever be ...

“In the best-case scenario, when you adopt these new techniques, even on the same old data, it’s kind of like putting on ...

Hello, today I’m going to review the Particle Tachyon SBC designed for high-performance edge AI, IoT, and connectivity applications. Powered by the Qualcomm QCM6490 platform with an octa-core Kryo CPU ...

The system measured ripples in Earth's atmosphere to monitor the event. A massive earthquake off Russia's Kamchatka Peninsula in late July triggered a tsunami that rippled across the Pacific — and ...

This implementation is designed as a demo to test COCO trained YOLOv11 detection models. This project implements YOLOv11 object detection in C++ using OpenCV with CUDA backend. It supports real time ...

A clean, modular, real-time object detection pipeline built on YOLOv5 + PyTorch + OpenCV. It shows FPS, counts detected objects per frame, renders boxes, and (optionally) saves the video. torch==2.7.1 ...

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...

WESTMINSTER, Colo.--(BUSINESS WIRE)--Maxar Intelligence, the leading provider of secure, precise geospatial insights, announced today that it was awarded Delivery Order 01 under the Luno A program by ...

Abstract: Human eye is the most significant character to detect the objects. Detecting the object includes the detection of position, size, distance etc. For individuals who have lost their vision and ...