ObjectCounter
Track people in a video and capture faces
Next Gen Yolo
Segment objects in videos with point clicks
Analyze images and videos to identify objects
Process video to count and track cars
Identify objects in live video
Detect objects in a video stream
Product Prototype 1
Photo and video detector with csv annotation saving
Detect objects in real-time from webcam video
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Object_detection_from_Video
ObjectCounter is an AI-powered tool designed to detect and count objects in images and videos. It specializes in tracking objects within video streams, making it ideal for applications like surveillance, traffic monitoring, and inventory management. With its advanced object detection algorithms, ObjectCounter provides accurate and efficient counting solutions.
• Object Detection: Automatically identifies and labels objects within images and videos.
• Real-Time Counting: Tracks and counts objects in real-time video streams.
• Object Tracking: Follows the movement of objects across multiple frames for accurate counting.
• Multi-Format Support: Works with images, video files, and live video streams.
• Customizable Settings: Allows users to adjust detection thresholds and labels.
• User-Friendly Interface: Intuitive design for easy operation and result visualization.
What formats does ObjectCounter support?
ObjectCounter supports images (JPEG, PNG), video files (MP4, AVI), and live video streams from cameras or other sources.
Can ObjectCounter count objects in real-time?
Yes, ObjectCounter is capable of real-time object counting for live video streams, providing instantaneous updates as objects enter or exit the frame.
How accurate is ObjectCounter?
ObjectCounter leverages advanced AI models to achieve high accuracy in object detection and counting. However, accuracy may vary depending on the quality of the input and the complexity of the scene.