Process video to count and track cars
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Analyze images and videos to identify objects
Track moving objects in videos or webcam feed
Detect objects in images or videos
Detect objects and track body movements in real-time
Object_detection_from_Video
yolo
Identify objects in images and videos
Powerful foundation model for zero-shot object tracking
Detect objects in images and videos
ObjectCounter
Process videos to detect and track objects
Car Tracking And Counting is a cutting-edge AI-powered application designed to process video content to track and count cars. This system uses advanced object detection and tracking algorithms to monitor vehicle movement in real-time or recorded video streams. It is widely used in traffic monitoring, surveillance, and intelligent transportation systems to provide accurate vehicle counts and movement analysis.
• Real-time vehicle detection: Detects cars in video frames with high accuracy. • Object tracking: Follows the movement of each vehicle across frames. • Counting functionality: Keeps track of the total number of cars detected. • Speed estimation: Calculates the speed of moving vehicles. • Reporting: Generates detailed reports of vehicle traffic. • Multi-camera support: Can process video feeds from multiple cameras simultaneously. • Customizable thresholds: Adjust detection sensitivity and tracking parameters. • Integration capabilities: Compatible with existing surveillance systems.
What is the accuracy of car detection?
The accuracy depends on video quality, lighting conditions, and camera angle, but it typically ranges between 90-95% in ideal conditions.
Can it work with low-resolution video?
Yes, but detection accuracy may decrease. For best results, use video with a resolution of 480p or higher.
Is it compatible with all types of cameras?
It supports most IP cameras and video files. Check the documentation for specific compatibility details.