Detect and track cars in a video
Detect objects in uploaded videos
computer-vision-problems
Detect objects in short videos
Track and count objects in videos
Process videos to detect and track objects
Detect objects in images or videos
Process video to detect specified objects
Detect objects in images and videos
Detect objects in real-time video stream
Upload and detect objects in videos
yolo
Next Gen Yolo
Car Counting is an advanced AI-powered tool designed to detect and track cars in video footage. It leverages cutting-edge computer vision technology to accurately count vehicles, track their movement, and provide detailed analytics. This solution is particularly useful for traffic monitoring, parking management, and urban planning applications.
• Real-Time Detection: Identifies cars in live or recorded video streams with high accuracy. • Object Tracking: Follows vehicles across frames to avoid double-counting and monitor direction of travel. • Automated Counting: Provides precise counts of vehicles entering or exiting a specified area. • Direction Detection: Determines the movement direction of vehicles (e.g., entering or exiting). • Speed Measurement: Estimates vehicle speed based on consecutive frame analysis. • Data Export: Generates reports in customizable formats for further analysis. • Customizable Alerts: Triggers notifications when predefined thresholds are met.
What video formats are supported by Car Counting?
Car Counting supports MP4, AVI, MOV, and MKV formats. For other formats, conversion may be required.
How accurate is Car Counting?
The accuracy of Car Counting exceeds 95% under ideal conditions, but may vary based on video quality, lighting, and object occlusions.
Can Car Counting work in low-light conditions?
Yes, Car Counting is optimized to perform well in low-light environments, though extreme darkness may reduce accuracy.