Success case
Retail Checkout System Powered by Vision AI – No More Waiting in Long Queue
Hardware: NVIDIA Jetson Orin Nano Application: Streamline Shopping Journey Industry: Smart Retail Deployment Location: U.S In the fast-paced
- Industry
- Retail & Consumer Services
- Application
- Cart-based vision checkout
Project background and needs
This is a vision AI retail checkout example, addressing peak-hour queuing, product location, and inventory tracking to explore a smoother customer checkout experience.
Peak-hour checkout queues
- Traditional checkout involves queuing and barcode scanning.
- Wait times increase during peak hours.
Needs to simplify item identification and checkout.
Product and inventory information
- Customers may have trouble locating products.
- Manual inventory tracking is labor-intensive and error-prone.
Needs to make product information and inventory status available to customers and managers.
Solution and architecture
Cart-mounted recognition
A camera, weight sensors, Jetson Orin Nano, and a display form the checkout platform, with recognition results compiled into a consumption list.
Models and database
Detection, classification, and vector retrieval identify products; the product database supports location lookup and inventory management.
Solution components
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