RICHMOND, Va. — Beginning July 1, Virginia communities will have the option to use artificial intelligence cameras to enforce certain traffic violations under a new state law aimed at improving ...
Real-time ASL recognition system using MediaPipe hand tracking and neural networks. Achieves 92% accuracy with 99% reduced input dimensionality through skeletal coordinate analysis. Real-time Hand ...
Abstract: Traffic sign detection is essential for autonomous driving and advanced driver assistance systems (ADASs). However, existing methods struggle to address the challenges of poor image quality ...
Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...
Real-time Hand Sign Language Detection System using Teachable Machine, TensorFlow, OpenCV, and CVZone. Recognizes ASL alphabet gestures (A–Z) through webcam-based hand tracking and deep learning.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results