The idea behind FOMO is that not all object-detection applications require the high-precision output that state-of-the-art deep learning models provide.

TL;DR Key Takeaways : The Raspberry Pi AI HAT, combined with YOLO models, enables real-time object detection, counting, and positional tracking for applications like security and automation ...

Selecting the right edge device for real-time AI-powered vision is a critical decision that can impact the performance, usability, and versatility of your applications. This comparison between the ...

A real-time detection algorithm GBiDC-PEST for four tiny pests on mobile devices was developed. Model size was reduced by 80% while maintaining accuracy (>80%) in GBiDC-PEST. The GBiDC-PEST ...

Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it… ...

Source: Raychev RI, et al. Abstract WMP120: Development of smartphone enabled machine learning algorithms for autonomous stroke detection. Presented at: International Stroke Conference; Dallas ...

BUCHAREST, Romania & SANTA CLARA, Calif.--(BUSINESS WIRE)--Bitdefender, a global cybersecurity leader, today unveiled App Anomaly Detection, the industry’s first real-time, behavior-based ...