Detailed solution introduction
Based on computer vision and deep learning technologies, Viscovery Visual Checkout system allows computer to automatically recognize products by appearance within 1 second, replacing the conventional checkout way (one-by-one scanning or checkout manually on POS system).
Viscovery Visual Checkout system uses the latest deep learning and computer vision technologies to allow multiple products to be detected and recognized within 1 second. Both non-packaged products (like bread, cake, meal, fruit) and packaged products can be recognized.
With the AI-enabled Visual Checkout system, cashier can check out faster than before, and customers no longer need to wait in long line for checkout, allowing retailers to increase same sales turnover without adding additional workers. Besides, Viscovery Visual Checkout system can also be adopted for self-checkout system, allowing consumers to check out on their own.
Key strengths of the solution include:
1. High Recognition Accuracy: The system can distinguish the fine grain details in products’ natural appearance. Take bread as an example, the system can distinguish between different bread type and breads of the same type.
2. Low Upfront Investment: The system can be integrated with existing POS systems by simply adding a 1080P webcam.
3. Ease of Operation: Retailers are able to add new product SKUs on their own with Viscovery product management system.
4. Optimization of Performance: Viscovery will keep optimizing recognition accuracy by collecting and examining past checkout results.