Machine vision technology eliminates the need for long queues in cashier supermarkets

Tencent Digital (Wen Xin) According to TechCrunch website, machine vision technology will enable any smart phone or tablet computer to recognize objects. Users will no longer have to rely on cashiers and bar code scanners to check out and check out when they check out at supermarkets. TechCrunch Disrupt SF Hackathon project PepperPay applies machine vision technology to the checkout process.

At the checkout counter, robots can use the PepperPay device to “see” what the user wants to buy, and they can identify the product. Users can easily complete the shopping and checkout process without having to wait long queues for the checkout.

TechCrunch said that checkout automation is a big opportunity for reducing the management costs of physical stores and increasing customer satisfaction. More and more grocery stores provide self-service checkout services, but scanning barcodes can be difficult for untrained customers.

Taking pictures of products instead of scanning them can speed up checkouts and drastically reduce the need for dedicated hardware.

PepperPay relies on IBM Watson's image recognition technology and PayPal to complete the transaction.

TechCrunch claims that although PepperPay uses Aldebaran's Pepper humanoid robot to demonstrate its technology, a simpler version that can run on the iPad is sufficient to solve the queueing problem. Ultimately, society must solve the problem of unemployment caused by robots and artificial intelligence replacing people, because technologies like PepperPay are constantly evolving.

Source: TechCrunch

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