Platform
TRACE ACE-C
Server-based Face Recognition Core Platform
ACE-C detects individuals from IP camera video streams and automatically crops faces, performing real-time authentication on the server as an intelligent AI platform.
By deploying its algorithms on a central server without the need for dedicated terminals, it reduces installation and operational costs while delivering high scalability and consistent accuracy.
Overview
ACE-C is designed as a server-centric AI core (engine) that integrates the following processes:
Video input
IP camera streamPerson detection
Automatic real-time identificationFace cropping
Precise region extractionReal-time authentication
Server-based decision-makingUnlike conventional terminal-based approaches, this reduces dependence on on-site devices and enables optimal performance through centralised operations.
Key Capabilities
IP camera-based video input processing
Reliably processes high-resolution streams from multiple IP cameras simultaneously.
Server-side face detection and automatic cropping
Leverages powerful server resources to detect individuals and automatically extract facial regions with precision.
Real-time facial authentication
Delivers fast and accurate authentication results even across large-scale databases through advanced facial analysis algorithms.
Centralised AI operations
All recognition and decision-making processes are centrally managed on the server, ensuring consistent algorithm performance and accuracy.
Use Cases
Access control and facial authentication systems
Large-scale video monitoring and security environments
AI-powered real-time event detection and alerting systems
Integrated facial recognition management for smart buildings