How to use computer vision for surveillance
- Artificial intelligence , Computer vision
- August 4, 2024
Table Of Contents
What is computer vision
Computer vision is a subfield of artificial intelligence (AI) that enables computers to interpret and understand visual information from images or videos. In the context of physical security, computer vision can be used to analyze video feeds and detect various types of activity, such as:
How computer vision can help you
- Object detection Identify specific objects within a scene, such as people, vehicles, luggage, or packages.
- Anomaly detection: Detect unusual or unexpected behavior, such as loitering, trespassing, or suspicious package handling.
- Motion detection: Trigger alerts when motion is detected in a specific area, such as a doorway, corridor, or parking lot.
- Facial recognition: Identify individuals by their facial features and track their movement within the surveillance area.
- Multi Object tracking: Follow the movement of multiple objects (e.g., people, vehicles) across multiple cameras and zones.
Why 5G make deployment easier than ever
Computer vision for surveillance is already a powerful tool, and when combined with the speed, reliability, and low latency of 5G networks. We partner with China Mobile in several deployments in Hong Kong:
- Faster Video Streaming: With 5G’s ultra-high-speed network capabilities (up to 20 Gbps), you can stream high-definition video feeds in real-time, reducing latency and ensuring that critical surveillance data is transmitted quickly.
- Real-Time Analytics: Leverage the low-latency benefits of 5G to enable real-time analytics on computer vision algorithms, allowing for faster detection and response times when anomalies are detected.
- Edge Computing: Utilize edge computing capabilities in 5G networks to process video feeds closer to the source (e.g., cameras), reducing latency and increasing processing power.
- AI-Powered Insights: Combine 5G’s ultra-low latency with AI-powered computer vision insights to enable real-time decision-making, such as sending alerts for potential security breaches or detecting suspicious activity in areas like airports or seaports.
- Cloud-Based Services: Integrate 5G connectivity with cloud-based services to enable remote monitoring, real-time analytics, and centralized management of surveillance systems.
