Object Detection
Extend detection capabilities to identify specific objects like weapons or unattended bags, enhancing security by monitoring for critical threats. Alerts are triggered automatically when such objects are detected in restricted areas, ensuring timely responses.
Real-Time Monitoring
Facilitates immediate detection and response to unauthorized access, providing high-security standards. This feature ensures quick intervention by continuously monitoring live camera feeds in real time.
Simultaneous Camera Feeds
Harnesses Python multithreading to manage multiple camera streams efficiently, delivering a seamless and comprehensive monitoring experience. The system ensures robust performance without compromising on quality or speed.
Automated Alert Notifications
Automatically generates and sends alerts when unauthorized access or critical objects are detected. This eliminates the need for constant manual supervision and ensures users stay informed in real-time.
User-Friendly Interface
Features a Tkinter-designed intuitive interface for effortless navigation and alert management. The interface is visually appealing and user-centric, simplifying the process of handling surveillance tasks.
OpenCV CUDA
Leverages GPU acceleration through OpenCV with CUDA support to enable high-performance real-time video processing. Optimized for computationally heavy tasks like motion detection and object tracking, it ensures low latency and efficient analysis, even on high-resolution video streams.
