AI Facial Recognition System
To meet the requirements of efficiency and security, the solution centres on deep learning to establish a ‘front-end data collection + back-end processing’ architecture.
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To meet demands for efficiency and security, this solution employs deep learning as its core, establishing a ‘front-end capture + back-end processing’ architecture. The front-end utilises high-definition cameras and snapshot devices for real-time facial capture, while the back-end integrates MTCNN detection and ArcFace feature extraction and comparison algorithms. This achieves over 99.8% recognition accuracy with millisecond-level response times.


The solution covers multiple scenarios: access control terminals incorporate liveness detection to prevent fraud, attendance terminals automatically calculate working hours, and surveillance terminals provide real-time alerts for unauthorised individuals. Data transmission and storage employ encryption, complying with the Personal Information Protection Law to safeguard privacy. The system integrates seamlessly with OA and security platforms, reducing costs and enhancing efficiency while balancing security with practicality.

System Functional Modules
Face detection and capture
Feature extraction and comparison
Live detection
Smart Attendance System
Monitoring and Early Warning
Data security
System Integration
Face detection and capture
Capture faces in real time within the frame, automatically optimising image quality to provide clear and effective material for subsequent recognition.
Feature extraction and comparison
Utilising algorithms such as ArcFace to extract facial features, comparisons with database entries are completed within milliseconds, achieving an accuracy rate of 99.8%+.
Live detection
Through dynamic motion analysis, texture analysis and other techniques, it combats photo and video tampering to ensure the authenticity of recognition.
Smart Attendance System
Automatically identifies staff and records working hours, generating attendance reports to reduce manual data processing costs.
Monitoring and Early Warning
Real-time monitoring of unfamiliar faces triggers audible and visual alerts or platform warnings, facilitating security responses.
Data security
Encrypted transmission and storage of facial data complies with regulations and prevents privacy breaches.
System Integration
Supports integration with OA systems and security platforms, accommodates multiple hardware configurations, and reduces enterprise deployment costs.
AI Behaviour Analysis Video Interaction System Solution: Overall Advantages
High-precision rapid identification
Utilising advanced algorithms such as ArcFace, recognition accuracy exceeds 99.8%, with millisecond-level feature matching that far surpasses traditional identification efficiency. This solution is optimised for high-concurrency scenarios with dense foot traffic.
Strong anti-cheating capability
The live detection feature combats photo and video forgeries through dynamic motion and texture analysis, preventing identity impersonation and ensuring greater authenticity in identification than conventional systems.
Flexible adaptation across multiple scenarios
It can simultaneously support access control, attendance tracking, surveillance and other scenarios, eliminating the need for separate deployments of multiple systems. This reduces corporate equipment and maintenance costs while adapting to diverse industry requirements.
High-security compliance
Employing data encryption for transmission and storage, it strictly complies with the Personal Information Protection Act to prevent facial data breaches, placing greater emphasis on privacy security than conventional systems.
Proactive Intelligent Early Warning
Real-time recognition of unfamiliar faces in surveillance scenarios triggers alerts, eliminating the need for manual screen monitoring. This reduces security response times and enhances the safety protection level of premises.
AI Behaviour Analysis Application Scenarios
Smart Access Control Scenario
  • Smart Access Control

    1. Supports rapid facial recognition for personnel identity verification, incorporating liveness detection to prevent photo fraud. Upon successful verification, doors open automatically to enhance access efficiency.


    2. Integrates with visitor management systems to register facial data for temporary access authorisation. Unauthorised entry triggers immediate localised audible and visual alarms.

Enterprise Intelligent Attendance System
  • Enterprise Intelligent Attendance System

    1. Upon employee arrival, cameras automatically recognise facial features, record attendance times, synchronise data to the system, and generate attendance reports automatically.


    2. Designed for multi-office scenarios, it supports remote facial recognition clocking for employees across different locations, reducing manual statistical errors and lowering HR attendance management costs.

Campus Security Measures
  • Campus Security Measures

    1. Equipment deployed at school entrances conducts real-time facial recognition of unfamiliar individuals, triggering alerts to security personnel upon detecting anomalies to safeguard student welfare.


    2. Integrated with dormitory access control systems, entry is permitted solely to students upon facial verification, preventing unauthorised visitors from entering at will and standardising dormitory management.

Retail Membership Services
  • Retail Membership Services

    1. Upon a member's arrival, the system automatically recognises their facial features, swiftly retrieving their membership details. Staff can then deliver tailored promotional offers with precision.


    2. The system records members' visit frequency and spending preferences, providing merchants with user profiling analysis to enhance product and service strategies.

Transportation Verification
  • Transportation Identity Verification

    1. Deployed at airport and high-speed rail station security checkpoints, enabling swift facial recognition verification of passenger identity and ticketing details to reduce queuing times.


    2. Adapted for metro and bus systems, allowing passengers to complete fare payments and access travel without physical cards via facial recognition, enhancing journey convenience.