We all know that unmanned retailers are satisfied with the diversified immediate consumption needs of consumers, and the solution is to reconstruct the people's yard. On the whole, unmanned retail mainly consists of three major sectors, first, identifying users; second, identifying commodities; third, the most difficult one, and the truly disruptive part of the future, that is, users and goods. Smart connection.
To put it simply, for example, when a consumer enters a store, machine vision automatically recognizes the identity, the consumer freely purchases the product, and walks out of the store payment channel. The Internet of Things RFID technology automatically identifies which products they purchased, the unit price and the total price, and machine vision. Check the goods and customers again, automatically deduct the funds and open the channel to realize the “take awayâ€.
How do the two forms of unmanned retail unmanned shelves and unattended convenience stores implement this process?
First, user identification
Technical solution: biometrics, machine vision
In the field of unmanned shopping, the identification of users can be divided into two categories: identification and verification. Whether it is an unmanned convenience store or an unmanned container, the first time the user needs to complete the registration process based on “identificationâ€, the personal data is stored in the system, and the second and multiple use is completed. "process.
As early as 2017, Ali's unattended convenience store used biometric technology. When consumers first entered the store, they opened the “Mobile Taobao†and scanned the QR code at the door of the store to get an electronic admission. Voucher. When you pass the gate, you can scan this electronic ticket and enter the store to shop.
The other big direction is biometrics. Among them, the technical solution with the highest occupancy rate is fingerprint recognition and facial recognition. For example, the Bangmat unmanned convenience terminal uses fingerprint recognition to complete the user's shopping out of the box and payment experience, but is susceptible to sweating, finger peeling and other physiological conditions. Impact.
Face recognition is mainly based on machine vision technology. It captures consumer features through the camera, but it is not 100% safe. Just like the iPHONE X in your hand will be stolen, face recognition also has certain risks. So as of now, the way to identify users on the market is still scanned by mobile phone terminals.
Second, product identification
Technical solution: QR code, RFID tag, image recognition, sensor technology, etc.
In the commodity identification process, the unmanned retail technology program mainly includes three categories. Among them, the most common solution is to purchase goods by scanning two-dimensional codes or barcodes, which is low in cost and convenient for operation; but for consumers, it is necessary to scan codes one by one, and the experience is poor.
In addition to scanning code, another major technology is RFID tags (also known as radio frequency identification tags). The solution uses technology such as vision sensor and pressure sensor to automatically identify the RFID tag of the product through the RF signal, and then access the network system to obtain relevant data, and track each product that the consumer puts into the shopping cart. The RFID tag technology solves to some extent. The problem of long queued checkouts optimizes the shopping experience.
Optimized in October of this year (2018), Maxwell's convenient RFID anti-liquid label is very convenient and concealed, which does not affect the aesthetics of existing products and the efficiency of operators. It is also a very huge improvement.
Third, the intelligent matching of users and goods
Technical solution: image recognition + depth learning + sensor fusion
The unmanned retail technology system based on image recognition, deep learning, sensor fusion and other technologies is a "disruptive" solution, and is also an implementation path that truly matches users and commodity intelligence.
Amazon Go uses computer vision technology to capture the behavior of the shopper in the store through the camera, then obtain the goods picked up by the shopper from the image recognition, and then use the deep learning in artificial intelligence to judge and identify whether the shopper needs the item. So decide whether to join the shopping cart. Finally add the sensor to improve the accuracy of the final result.
Fourth, big data reconstruction
Technical solution: Internet of Things, big data
Of course, in addition to the scenes of identification, purchase and transaction, what is still being done is to mine and connect different terminals with positive data, which can bring about more profound changes.
Recently, the Yunnao unmanned convenience store that has just landed at Shanghai Hongqiao Airport will also provide differentiated prices to consumers of different loyalty loyalties according to consumers' buying habits. At the same time, Yunna will provide accurate advertising display, consumer feedback data, brand promotion rebate discounts for brand replenishment stores, etc., which will be backed up to consumers and reflected in the differentiated discounts of some products.
These big data are connected with technology, and merchants can manage goods and shelves more reasonably and accurately, and finally let consumers experience better service.
Conclusion
Unmanned retail, in my opinion, not only "no one", but the most fundamental should be to use technology upgrades to improve shopping efficiency, meet the needs of instant consumption, lazy economy; at the same time help businesses reduce costs, increase efficiency, Creating a better return on investment is the value of unmanned retail.
In the process of combing, it can be found that the new technology is iteratively applied to the three major links, and the author believes that the technical solutions that truly have the ability to break through the ceiling are also on the way.
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