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Track objects in video
ObjectCounter

ObjectCounter

ObjectCounter

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What is ObjectCounter ?

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.

Features

• 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.

How to use ObjectCounter ?

  1. Install the Application: Download and install ObjectCounter on your device.
  2. Select Input Source: Choose between an image, video file, or live video stream.
  3. Configure Settings: Adjust detection parameters such as object labels and sensitivity.
  4. Run the Analysis: Start the counting process and let the AI analyze the input.
  5. Review Results: View the counted objects and their tracking paths in the output.

Frequently Asked Questions

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.

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