


We are ready to answer right now! Sign up for a free consultation.
I consent to the processing of personal data and agree with the user agreement and privacy policy
ShiMeta’s Face Recognition for Precise Customer Flow Statistics Software is an advanced BS-architecture-based solution designed for offline retail businesses that need accurate footfall data, AI-driven targeted content, and VIP customer engagement tools. Through facial recognition cameras embedded in over 10,000 signage terminals, the software enables intelligent content delivery, detailed analytics, and unified device control — offering retailers a data-driven feedback loop that improves conversion rates and marketing ROI.
Supports accurate program tagging based on:
When a user’s facial features match the program tag, the screen switches to display the relevant content in real time
Auto-return to default display if no new face is detected
Ideal for hyper-personalized promotions and interest-triggered digital signage
By leveraging facial detection and tracking, the system provides:
Manage all devices from a centralized interface:
Remote power on/off, volume, backlight, and software updates
Set up and adjust:
Reduces labor and simplifies national or regional display network operations
Content is distributed through a local area network — ideal for in-store environments or secured retail networks.
If the user owns a Huawei Cloud or other public server, ShiMeta will help set up a dedicated public server at no additional cost. Content is pushed to terminals over the WAN for distributed store networks.
This software is widely applied in:
Yes. Facial feature extraction prevents duplicate counting in traffic data.
Program tags (age, gender, priority) are matched with detected facial features in real time.
Absolutely. Preloaded photos and info trigger real-time welcome messages.
The system supports over 10,000 signage terminals simultaneously.