Track people in a video and capture faces
Powerful foundation model for zero-shot object tracking
Detect objects in real-time video stream
Control object motion in videos using 2D trajectories
Analyze images and videos to identify objects
Detect objects in live video feeds
Track objects in uploaded videos
Detect cars, trucks, buses, and motorcycles in videos
Process videos to detect and track objects
Detect objects in images and videos
A UI for drone detection for YOLO-powered detection system.
SOTA real-time object detection model
Product Prototype 1
Yolo People Counter is a video analytics tool designed to track people in video streams. It leverages advanced AI technology, specifically the YOLO (You Only Look Once) algorithm, to detect and count individuals within video frames. This tool is particularly useful for applications such as crowd monitoring, retail analytics, and security systems, where understanding people movement and density is critical.
• Real-time people detection: Quickly identifies and tracks people in live or recorded video. • Face capture: Automatically captures faces of detected individuals for further analysis. • High accuracy: Utilizes the YOLO algorithm for precise object detection and tracking. • Multiple video support: Compatible with various video formats and sources, including local files and live feeds. • Data export options: Outputs people count data for easy integration with other analytics tools.
How does Yolo People Counter track people?
Yolo People Counter uses the YOLO algorithm to detect people in video frames. It processes each frame to identify human figures and tracks their movement across frames for accurate counting.
Can I customize the detection settings?
Yes, you can adjust settings like detection sensitivity and ROI (Region of Interest) to optimize people counting for specific scenarios.
Is Yolo People Counter suitable for privacy-sensitive applications?
While Yolo People Counter captures faces, it is primarily designed for counting and tracking. For privacy-sensitive applications, consider anonymizing or blurring faces during processing. Always adhere to local privacy regulations.