Customer Flow Statistics & Precise Advertising Based on Face Recognition
Demand Analysis
As online retail reshapes consumption habits, offline stores face challenges in cost and reach. ShiMeta’s face recognition customer flow statistics solution empowers brick-and-mortar businesses with actionable insights through big data, facial analytics, and targeted marketing strategies—driving offline retail transformation.
Solution Overview
ShiMeta integrates facial recognition with its multimedia information publishing software and SenseTime’s advanced technology. This all-in-one platform adds data analytics and interactive advertising to traditional signage systems—offering data-driven decision-making, user engagement, and measurable marketing ROI.
Face Recognition Technology Highlights
- Face Detection & Tracking: Millisecond-level recognition in complex environments (e.g., occlusions, motion blur).
- Face Key Point Positioning: 106-point feature recognition for profile and expression analysis.
- Face Identity Authentication: 96% accuracy with <0.001% false match rate.
- Face Attributes Detection: Age, gender, expression, glasses, mask, etc.
- Face Clustering: Organize face data for CRM or social pattern analysis.
- Liveness Detection: Prevent spoofing with anti-fraud AI detection.
- Portrait Enhancement: Supports beautification for marketing interactivity.
Solution Development
- Motherboard: ShiMeta IoT-3288A + Rockchip RK3288
- Camera: High-definition face detection camera
- Software: ShiMeta face recognition customer flow statistics system
Core Features
1. Real-Time Customer Flow Analysis
- Hourly traffic statistics via facial detection & tracking
- Prevent duplicate counts via unique face features
- Bar/line graph trends by day, week, month, or year
- In-store dwell time analysis per individual
2. Gender & Age Segmentation
- 5% accuracy for gender, 90%+ accuracy for age
- Enable demographic-focused retail decisions
3. VIP Customer Recognition
- Identify returning VIPs and push relevant purchase history
- Increase conversion by targeting loyal segments
4. Big Data Optimization
- Visualize hot zones, popular products, and group behaviors
- Tailor store layout, advertising placement, and staff strategy
5. AI-Powered Precise Advertising
Auto-switch promotional content based on age/gender
Ad personalization in <2 seconds to improve conversions
Application Scenarios
- Shopping Malls
- Cosmetics Chains
- Jewelry & Watch Stores
- Car Dealerships
- Fashion Boutiques
- Pharmacies
- Supermarkets & Food Shops
Deployment Components
- Hardware: Face recognition camera + RK3288 motherboard
- Software: ShiMeta’s multimedia release system with facial analytics integration
- Network: LAN/WAN with remote content push and real-time device management
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