Leveraging Computing Vision for Enhanced Surveillance

What is Visual Computing?

Visual Computing, a branch of Artificial Intelligence (AI), enables computers to understand and interpret visual information from video feeds and respond accordingly. When applied to property security, visual computing can analyze video sources to detect various activities and automatically identify suspicious behavior, significantly reducing manual monitoring requirements.

How Visual Computing Reduces Operational Costs

1. Object Detection

   • Automatic identification of specific objects in scenes
   • Recognition of people, vehicles, luggage, and packages
   • Real-time monitoring and alerts

2. Anomaly Detection

   • Automatic detection of unusual activities or incidents
   • Monitoring for loitering, trespassing, or suspicious package handling
   • Immediate alert system for security breaches

3. Motion Detection

   • Triggers alerts when movement is detected in designated areas
   • Monitors specific zones like entrances, corridors, or parking lots
   • Detects activities such as smoking or sports activities

4. Facial Recognition

   • Identifies individuals through facial features
   • Tracks movement within monitored areas
   • Maintains security access control

5. Multi-object Tracking

   • Simultaneous tracking of multiple objects
   • Monitors people, vehicles, and animals
   • Coordinates across multiple cameras and zones

How 5G Simplifies Visual Computing Deployment

Current surveillance visual computing has evolved into a powerful collaborative tool, enhanced by 5G network’s speed, reliability, and low latency. Our successful deployments in partnership with China Mobile Hong Kong (CMHK) demonstrate these advantages:

1. High-Speed Video Streaming

   • Ultra-fast network capabilities (up to 20 Gbps)
   • Real-time HD video streaming
   • Minimal latency for critical surveillance data transmission

2. Real-Time Analysis

   • Leverages 5G’s low latency
   • Enables instant computer vision algorithm analysis
   • Provides rapid response to detected anomalies

3. Edge Computing

   • Processes video streams near the source
   • Reduces network latency
   • Enhances processing capabilities at camera locations

4. AI-Driven Insights

   • Combines 5G ultra-low latency with AI analytics
   • Enables real-time decision making
   • Monitors suspicious activities in critical areas

5. Cloud-Based Services

   • Integrates 5G connectivity with cloud services
   • Enables remote monitoring capabilities
   • Provides centralized surveillance system management