Overview:  Compares the leading computer vision APIs, multimodal AI models, and open-source vision frameworks available in ...

Most people assume object tracking for autonomous flight is very complex, but it doesn’t have to be that way. All you need is ...

A powerful real-time flying object detection system using YOLOv8 that detects aircraft, drones, birds, helicopters, and other flying objects. Optimized to run on CPU and GPU with support for multiple ...

Abstract: Detection and tracking of objects is important in. applications in surveillance, sports are driven by computer vision. traffic monitoring, analytics and autonomous driving. Accurate ...

Abstract: This paper presents an enhanced approach to real-time object detection, addressing challenges such as movement dynamics and environmental variability. The proposed method employs transfer ...

This project builds a complete real-time object detection pipeline for video streams using pretrained YOLOv8 models. The system detects and counts objects frame by frame, benchmarks latency and memory ...