Process video to detect and highlight objects
Track and count vehicles in real-time
Watch and analyze videos with object detection
Detect objects in images or videos
Detect cars, trucks, buses, and motorcycles in videos
Dino-X-API-Demo::Alteredverse
Detect objects in a video and image using YOLOv5.
Detect objects in live video feeds
Detect moving objects in videos
Detect objects in images or videos
Analyze video for object detection and counting
用于学习，验证识别效果
Model Yolo
Object Detection And Recognition is a cutting-edge AI technology designed to analyze video content and identify specific objects within it. It processes video streams to detect, track, and recognize objects in real-time or pre-recorded footage. This technology is widely used in surveillance, automotive systems, healthcare, and more to enhance understanding of visual data.
• Real-Time Processing: Capable of analyzing live video feeds for immediate object detection. • High Accuracy: Utilizes advanced AI models to ensure precise object identification. • Multiple Object Detection: Can detect and recognize multiple objects simultaneously in a single frame. • Object Tracking: Continuously monitors the movement of detected objects across frames. • Customizable Models: Allows users to train or fine-tune models for specific use cases. • Visual Highlighting: Provides clear visual feedback by highlighting detected objects in the video.
What is the accuracy of the object detection system?
The accuracy depends on the quality of the video and the AI model used. High-resolution videos and state-of-the-art models typically yield better results.
Can the system handle large videos or high-resolution footage?
Yes, but processing times may increase with larger files. For faster results, consider using optimized models or reducing resolution.
How can I export the detection results?
Results can be exported in various formats, including video files, CSV reports, or JSON data, depending on your requirements.