SilentEye
SilentEye is an open-source computer vision software designed for video surveillance and motion detection. It uses deep learning algorithms to accurately detect and track objects in real-time camera feeds.
SilentEye: Open-Source Computer Vision Software for Video Surveillance & Motion Detection
SilentEye is an open-source computer vision software designed for video surveillance and motion detection. It uses deep learning algorithms to accurately detect and track objects in real-time camera feeds.
What is SilentEye?
SilentEye is an open-source computer vision software application designed specifically for video surveillance and motion detection. It utilizes cutting-edge deep learning algorithms to accurately detect, track, and analyze objects in real-time video streams from IP cameras and USB webcams.
Some key features of SilentEye include:
- Real-time object detection and tracking - the software can identify and follow moving objects such as people, vehicles, and animals in video feeds.
- Advanced motion detection - intelligent motion filtering allows the software to detect and alert on real motion while ignoring environmental changes such as lighting and weather.
- Customizable detection zones - detection zones can be precisely drawn to monitor specific areas within the camera's field of view and ignore unwanted motion.
- Smart scene analytics - the software provides rich metadata like object counts, speeds, sizes and migration paths to better understand scene context.
- Flexible notifications - alerts can be triggered on specific detection events and sent as emails, SMS or push notifications to mobile devices.
- FREE and open source - SilentEye is published under the GPLv3 license and is available for Windows, Linux and macOS free of cost.
Overall, SilentEye provides an advanced yet easy-to-use video surveillance platform for home and small business security applications. Its intelligent object detection and alerting capabilities allow it to serve as an automated visual monitoring system.
SilentEye Features
Features
- Real-time object detection and tracking
- Uses deep learning algorithms like YOLO for high accuracy
- Open-source and customizable
- Works with IP cameras, USB cameras, and video files
- Motion detection and alert triggers
- Face recognition capabilities
- Records video when motion is detected
- Web-based interface for remote viewing and management
Pricing
- Open Source
Pros
Free and open-source
Accurate object detection using deep learning
Easy to set up and use
Works with many camera types
Customizable with plugins and add-ons
Can be self-hosted for privacy
Cons
Requires powerful hardware for best performance
Initial setup can be complex for non-technical users
Limited support and documentation
Face recognition accuracy varies
Web interface is very basic
Official Links
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