Key Technology Features
Our edge-based face recognition system delivers unmatched performance with privacy-first design and real-time processing capabilities.
On-Device Inference
CNN/TensorFlow Lite/EdgeFace models running locally on edge devices with optimized neural network architectures for real-time performance.
Privacy by Design
No cloud dependency—all data processed locally on device, ensuring complete privacy protection and GDPR compliance for sensitive biometric data.
Real-Time Performance
30 FPS processing on ARM/NPU architectures with sub-100ms latency for instant recognition and seamless user experience.
Ultra-Low Power
Optimized for always-on systems with intelligent power management, consuming less than 2W during active recognition operations.
AI-Enabled Analytics
Advanced facial analysis capabilities with real-time detection, tracking, and biometric authentication
Advanced Analytics Capabilities
-
Face Detection & Tracking
Multi-face detection with real-time tracking across video frames using advanced MTCNN and RetinaFace algorithms
-
Facial Landmarking
68-point facial landmark detection for precise face alignment and feature extraction with sub-pixel accuracy
-
Age & Gender Estimation
Real-time demographic analysis with 95%+ accuracy for age estimation and gender classification
-
Mask & Liveness Detection
Advanced anti-spoofing with mask detection, liveness verification, and presentation attack detection
Edge Hardware Platform
Purpose-built hardware solutions optimized for face recognition at the edge with industry-leading performance
SCL-FR500
TensorRT acceleration
ARM Cortex-A78 CPU
4GB LPDDR5 RAM
32GB eUFS storage
USB 3.0 & Ethernet
ESP32 + AI Co-processor
Ultra-low power standby
WiFi 6 & Bluetooth 5.2
PIR motion detection
Battery backup support
Compact form factor
Camera + Sensors
4K RGB camera
IR illumination
Thermal imaging (optional)
SD card logging
Wi-Fi data sync
Software Development Stack
Comprehensive software framework with optimization tools and seamless integration capabilities
Core Technologies
-
OpenCV
Computer vision library for image processing and camera interface
-
TensorFlow Lite
Optimized inference engine for mobile and edge devices
-
MTCNN/RetinaFace
State-of-the-art face detection and alignment algorithms
-
TensorRT
NVIDIA's inference optimization library for maximum performance
-
Model Optimization
Quantization, pruning, and knowledge distillation techniques
-
Security Framework
Encrypted model storage and secure biometric template handling
Integration Capabilities
Door Lock Systems
Smart lock integration
Access Control
Enterprise security systems
Time Attendance
HR management systems
Surveillance
CCTV and monitoring systems
Real-World Applications
Our edge-based face recognition solutions are deployed across various industries for enhanced security and automation
Smart Door/Gate Access
Contactless access control for residential and commercial buildings with instant recognition and secure entry management.
- Contactless entry
- Multi-user enrollment
- Access logging & analytics
- Mobile app integration
Kiosk-Based Attendance
Automated employee attendance tracking with self-service kiosks, eliminating buddy punching and improving accuracy.
- Automated time tracking
- Anti-spoofing protection
- HR system integration
- Real-time reporting
Surveillance Alerting
Intelligent surveillance systems with real-time face recognition for security monitoring and automated threat detection.
- Real-time monitoring
- Watchlist alerts
- Incident recording
- Multi-camera support
Retail Demographics
Anonymous demographic analysis for retail environments, providing insights into customer behavior and preferences.
- Age & gender analytics
- Foot traffic analysis
- Heat mapping
- Privacy compliant
Looking to build edge-based AI security systems?
Transform your security infrastructure with our cutting-edge face recognition technology. Get started with a consultation today.
Contact Us Today