Process video to detect specified objects
Detect objects in real-time from webcam video
Product Prototype 1
Find objects in videos
Detect moving objects in videos
Identify objects in live video
Track moving objects in videos or webcam feed
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Model Yolo
SOTA real-time object detection model
Efficient Track Anything
Automated Insect Detection
Detect objects in a video and image using YOLOv5.
Omdet Turbo RealTime Object Detection is a powerful AI-powered tool designed to track and detect specified objects within video streams in real-time. It leverages advanced computer vision techniques to deliver high-speed and accurate object detection, making it ideal for applications requiring immediate results.
• Real-Time Processing: Detects objects instantly as video streams or frames are processed. • High Accuracy: Utilizes state-of-the-art AI models to ensure precise object detection. • Multiple Object Tracking: Capable of tracking multiple objects simultaneously in a video feed. • Customizable Detection: Allows users to define specific objects or categories for detection. • Cross-Platform Support: Compatible with various operating systems and devices. • Low Latency: Optimized for fast performance, ensuring minimal delay in detection. • Integration-Friendly: Easily integrates with existing systems via APIs.
What are the system requirements for Omdet Turbo?
Omdet Turbo requires a minimum of 4GB RAM, a multi-core processor, and a compatible GPU for optimal performance. Ensure your system meets these specifications for smooth operation.
Can Omdet Turbo detect custom objects?
Yes, Omdet Turbo allows users to define and train custom object detection models, enabling detection of specific items tailored to your needs.
How does Omdet Turbo handle large video files?
Omdet Turbo processes video files incrementally, ensuring efficient handling of large files without excessive memory usage. It prioritizes real-time performance while maintaining accuracy.