Track and count vehicles in real-time
Video captioning/open-vocabulary/zero-shot
Detect objects in images or videos
Track moving objects in videos or webcam feed
Identify objects in live video
Detect objects and track body movements in real-time
Detect objects in a video and image using YOLOv5.
Detect objects in short videos
Detect objects in live video feeds
Detect objects in a video stream
Detect objects in real-time video streams
Detect objects in real-time from webcam video
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Objet Counting is an AI-powered tool designed to track and count objects in video streams. It specializes in real-time vehicle tracking and counting, making it an essential solution for applications like traffic monitoring, surveillance, and smart city management. By leveraging advanced computer vision, Objet Counting provides accurate and efficient object detection in dynamic environments.
• Real-time Vehicle Tracking: Detects and tracks vehicles in live or recorded video feeds.
• Accurate Counting: Provides precise counts of vehicles in specified areas.
• Customizable Zones: Allows users to define regions of interest for counting.
• Alert System: Triggers notifications based on predefined thresholds or anomalies.
• Multi-Platform Support: Compatible with various video sources, including IP cameras and video files.
• User-Friendly Interface: Intuitive dashboard for easy configuration and monitoring.
What types of vehicles can Objet Counting detect?
Objet Counting is optimized for detecting cars, trucks, buses, and motorcycles. It can be fine-tuned for specific vehicle types based on user requirements.
How accurate is Objet Counting?
The accuracy of Objet Counting depends on video quality and lighting conditions. Under ideal conditions, it achieves high accuracy rates, typically above 90%.
Can Objet Counting be used with existing CCTV cameras?
Yes, Objet Counting supports integration with most IP cameras and CCTV systems. Ensure your camera’s video feed is accessible and compatible with the tool.