Process video to detect and highlight objects
Detect objects in a video stream
Track and count vehicles in real-time
Track people in a video and capture faces
Detect and track cars in a video
Detect objects in images, videos, and live webcam streams
SOTA real-time object detection model
Detect objects in images or videos
Detect objects in real-time from your webcam
Control object motion in videos using 2D trajectories
Track moving objects in videos or webcam feed
Identify and track faces in videos
A UI for drone detection for YOLO-powered detection system.
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.