Success case
Vision AI Helps Improve Customer Satisfaction: Learn from Your Customers’ Behavior and Respond Fast
Hardware: NVIDIA Jetson Orin NX Application: Shopper Flow Analysis & Queue Detection Industry: Retail Operation Strategy Deployment
- Industry
- Retail & Consumer Services
- Application
- Retail Foot Traffic and Queuing
Project background and needs
This is a retail vision analytics example: it analyzes customer flow, dwell time, and queuing from video to inform service and operations management.
Customer Behavior Detail
- Manual surveys and basic cameras struggled to provide comprehensive interaction information.
- Traditional methods were labor-intensive and lacked detail on dwell time, distribution, and total flow.
Operationally useful behavior metrics needed to be extracted from video.
Real-Time Data Processing
- Retail sites continuously generate large volumes of data.
- Rapidly changing customer preferences required timely analysis results.
Data needed to be processed in real time and fed into service management.
Solution and architecture
Foot Traffic Analysis
The Lumeo people recognition model and region-of-interest method extract visitor counts, trajectories, dwell time, and frequently visited areas.
Queue Service
The system analyzes the number of customers being served and queue status, calculates wait times, and supports staffing and service-counter guidance.
Solution components
- NVIDIA Jetson（具体型号待核）
See the solution in action
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