CTC-VAS01 Video Analysis System
Overview
- Utilizes advanced video image analysis technology
- Built-in multiple high-precision AI recognition algorithms
- Automatically identifies unsafe human behaviors, on-site anomalies, object abandonment/removal, etc., without manual intervention
- Provides intelligent support for security prevention and production management
Key Features
Multi-Scenario Applications
- Supports dozens of algorithm models such as facial recognition, intrusion detection, illegal parking detection, safety helmet detection, fire/smoke detection, etc., which can be freely combined based on on-site requirements
Intelligent Early Warning
- Provides timely alerts in advance, capable of automatically triggering alarms or linking to the dispatch platform to prevent incidents
Easy Integration
- Compatible with standard protocols for connecting cameras / NVR / DVR / surveillance platforms, enabling rapid abnormal behavior detection via AI algorithms
Visualized Management
- Real-time alerts during incidents, with archived information available for retrospective query and statistical analysis
Core Parameters
- Concurrent Channels: 8 / 16 / 32 channels optional (expandable)
- Algorithm Models: Customizable 4~8 scenario models, such as helmet detection, flame recognition, crowd gathering, intrusion detection, etc.
- Deployment Options: Local GPU server / Edge AI
- Video Resolution: Supports up to 1080p or 4K (depending on hardware computing power)
- System Interfaces: ONVIF, RTSP, SIP optional, or private SDK
Typical Applications
- High-Security Environment Monitoring: Intrusion detection, smoke and fire recognition to ensure the safety of critical areas;
- Industrial Parks: Identification of safety helmet usage, material left-behind/removal detection;
- Public & Industrial Emergency Response: Automatic alarms for flame detection, line-crossing detection, etc., with linked broadcasts or dispatch.