Analyze video for object detection and counting
Track and count vehicles in real-time
Identify objects in images and videos
Detect objects in real-time video stream
SOTA real-time object detection model
A UI for drone detection for YOLO-powered detection system.
Detect objects in real-time from your webcam
Detect cars, trucks, buses, and motorcycles in videos
Track moving objects in videos or webcam feed
Detect moving objects in videos
Detect and track objects in images or videos
Detect objects in a video stream
Next Gen Yolo
Object Tracking And Counting is an AI-powered solution designed to analyze video content for object detection and counting. It leverages advanced computer vision and machine learning algorithms to identify, track, and count objects within video streams. This technology is ideal for applications such as surveillance, traffic monitoring, and inventory management, where accurate object tracking and counting are critical.
• Real-Time Tracking: Track objects in real-time video streams.
• Accurate Counting: Count objects with high precision, even in complex environments.
• Object Detection: Identify and classify objects using AI models.
• Multiple Object Support: Track and count multiple objects simultaneously.
• Customizable Speed: Adjust tracking speed based on video frame rates.
• Data Export: Export tracking and counting data for further analysis.
What types of objects can be tracked?
Object Tracking And Counting supports a wide range of objects, including people, vehicles, and specific items, depending on the pre-trained models used.
How accurate is the counting feature?
Accuracy depends on video quality, object clarity, and the selected AI model. In ideal conditions, accuracy can be over 90%.
Can I use this for live video streams?
Yes, Object Tracking And Counting supports real-time analysis of live video streams, making it suitable for applications like surveillance and monitoring.