Unmanned retail "experience" store, ant "WithAnt" brush face payment test
With the rapid development of mobile payment, the new retail has begun to show its vitality. The first thing that is at the forefront is the unmanned retail.
Earlier this year, the rumored Amazon Go was finally opened to the Amazon headquarters in Amazon. Almost on the same day, Ant Financial also launched an unmanned experience store "WithAnt" in the Z space of its new office building, which mainly sells derivatives around Ant Financial.
Since WithAnt is placed on the side of the ant Jinfu new building, the people entering and leaving are almost all Ali employees and visiting guests. The sellers are also the derivative of the ant gold service. The overall traffic is not very high, so only It can be regarded as a no-experience store.
The design of the store is very simple, with a simple WithAnt logo, an anti-theft device at the entrance, and an advertising display next to it. The camera above is used to display the past pedestrian video in real time. The top of the screen introduces the simple purchase process.
A two-dimensional code gate can be seen on the right side of the entrance. Open the Alipay scanning “payment code” to open the gate to enter the store.
The size of the store is not large, about 10 square meters, the ants around the store are placed around the middle of the counter, there are dolls, pillows, refrigerator stickers, masks and other products. The shop is covered with a camera. Since there is almost no occlusion in the store, it can be said that it is in 360° without dead angle monitoring after entering.
On the back of the store is a 40-inch display that shows the overall structure, layout and real-time access of the WithAnt store. From the number of visitors, we can see that 15 people visited the store in the afternoon, and the total number of visitors reached 5,221. The traffic for a no-experience store for employees and visitors is good.
Of course, the most noteworthy thing about unmanned retail is the payment settlement process of the store. WithAnt claims that the whole process is not paid, and the experience is actually smoother and smoother.
First, the consumer selects the item to be purchased in the store, and then places it in the small black box of the settlement counter for product identification. In order to experience the accuracy of the identification of the goods with the small black box of the WithAnt settlement, Xiaobian took a larger pillow and a smaller mask and placed it in the small black box, and then the settlement desk began to recognize automatically.
The system identified the placed item very accurately, and then the small piece deliberately hid the mask under the headrest and the machine was still able to accurately identify it. When the small package is removed and the package is placed, the machine cannot be recognized normally. Therefore, in addition to various technologies such as machine vision, product weighing, and sensors, the small black box should also have RFID-like content. Tag identification system.
Through observation, Xiaobian discovered that the QR code label of the product is actually a UHF tag with RFID, and it is understood that the tag also has the function of sound and magnetic, in addition to the identification of goods through RFID, it needs to succeed. After the payment, the degaussing process can be performed in the small black box, so that the goods are taken out of the store without triggering the burglar alarm.
The payment process is relatively smooth. After the product is identified, you can click on the face payment and scan code payment below. Scanning code payment is more common. Since Xiaobian had previously paid for Alipay’s face payment, he chose to use the brush face payment to make payment.
The process of brushing the face is a bit slow, probably because I did not aim at the camera with one-handed shooting. After a slight adjustment of the position, the payment was successful. As you can see from the payment interface, Alipay’s face payment is based on ZOLOZ’s face recognition technology.
Since Amazon launched Amazon Go, various capitals competed for unmanned retail stores. On behalf of Ali’s Amoy Coffee, Rainbow Hong Kong, Gou Box, Suning Sports Biu, wheat convenience store and so on. From a technical point of view, mainly through machine vision, deep learning algorithms, sensor fusion technology, biometrics, RFID and other technologies to achieve the requirements of unmanned retail. However, from the current point of view, the technology model of unmanned retail is not fully mature. There is still room for improvement in management and experience. Therefore, for a long time, unmanned retail can only be a supplement to the retail industry. Can not completely replace traditional retail.
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