Tech Times

How AI-Powered Smart Home Security Cameras Detect and Prevent Intrusions in Real Time

AI security cameras enhance smart home security using computer vision, behavioral anomaly detection, and facial recognition ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

AI for early detection of self-harm behavior in psychiatric wards falters in real-world conditions, finds study

A research team led by Professor Hyun Ghang Jeong from the Department of Psychiatry at Korea University College of Medicine ...
Journal of Medical Internet Research

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...
IEEE

YOLOv9-Based Human Face Detection and Counting Under Human-Animal Faces, Complex Imaging Environments, and Image Qualities

Abstract: Automatic human face detection and counting can play a vital role in the recognition and tracking of infant and adult faces in both outdoor and indoor human surveillance applications and ...
IEEE

Automated Classification of User Exercise Poses in Virtual Reality Using Machine Learning-Based Human Pose Estimation

Abstract: Human Pose Estimation (HPE) using machine learning presents significant potential for objectively analyzing user movements within Virtual Reality (VR) environments, particularly for ...