Security technology has a very broad application space in the field of unmanned economy. It can even be said that the support behind security technology is the basis of unmanned economic development. For example, if an unmanned store wants to operate effectively for a long time, it must ensure the smooth completion of transactions and good shopping process experience, as well as the safety of the shopping environment. So what is important in this process? It must be the application of security monitoring, anti-theft alarm and other technologies. In fact, in various unmanned economic application scenarios, monitoring technology is essential, especially intelligent monitoring technology. In addition, there are applications such as image recognition technology, face recognition technology, RFID technology and so on. These technologies play an important role in the applications of unmanned stores, unmanned storage, unmanned driving and so on.

1、 Intelligent monitoring technology

With the development of intelligent video analysis technology, in addition to the traditional security, video monitoring system has become a new development trend to expand its application in industry business management. For example, it can assist commercial operation in commercial application fields such as chain stores, specialty stores, supermarkets and business halls, and provide efficient and accurate valuable data for business analysis.

In the unmanned convenience store, the role of video surveillance intelligent analysis technology has been brought into play to a greater extent. Different from the security field, in the unmanned convenience store, video intelligent analysis is more to realize the refined daily management of the convenience store, and also includes the anti-theft and loss prevention function of the unmanned convenience store.

In the process of scanning the code to enter the store, first of all, there will be a video monitoring system at the door of the convenience store, that is, the front-end camera. Through the camera target detection and recognition algorithm, the customer can be identified, and then the customer’s identity can be confirmed. At the same time, the door camera can also realize the population statistics function, timely understand and control the number of people entering the store, and ensure the application experience in the store.

When customers enter the store to buy goods, they can track and identify customers’ whereabouts and behaviors with the help of multiple front-end cameras of video monitoring system. In this process, it includes target detection and tracking, which mainly tracks consumers’ behavior and movement trajectory in the store. This function mainly depends on multi-channel surveillance cameras. By capturing consumers’ behavior to judge their attitude towards specific goods, or by guiding merchants to adjust the display mode of goods through the movement track of many consumers in the store or the residence time in front of specific shelves.

For example, video intelligent analysis can realize the real-time heat map in the store, track which route guests like to take, which shelf has the most dense passenger flow, which shelf has the longest passenger flow, which shelf is cold, etc. With the help of biometrics, we can also determine the proportion of male and female guests, and whether the average body shape is fat or thin; When guests stand in front of the shelf, they are most used to where to look first (to calculate the real golden position of the shelf).

2、 Image recognition technology

In the catering area and rest area of unmanned convenience stores, image recognition technology is applied. There is no doubt that image recognition technology can be said to be the strength of security enterprises. In convenience stores, the application of image recognition technology is actually more basic. It is only applied to face recognition technology, and it is only used as an access port, so the actual sense of participation is too low.

No matter what kind of unmanned retail solution, we must first solve the user experience problem at the C-end, and then reduce the labor cost for the b-end customers. Because whether you can enter the store or not depends on consumers. Without consumers, everything is empty talk. In the future, unmanned sales should remove all media, and consumers can complete shopping only by themselves. Even if consumers walk into the store naked, they can successfully buy goods. To do this, we must first solve the problem of identity recognition. Face recognition, fingerprint recognition, iris recognition technology and so on can be realized. Which recognition technology to choose depends on the specific situation. Anyway, either one is related to security. In unmanned convenience stores, in addition to accurate identification, we should continue to track consumers and analyze consumers’ behavior. This can be achieved by image recognition technology, for the analysis of dynamic images. After selecting the goods, the user enters the specific settlement area. At this time, it is the turn of RFID technology to play. The total amount of goods is calculated through RFID, and then matched to the user payment account with biometric authentication to easily complete shopping.

What is the security system of unmanned retail

3、 Face recognition technology

Face recognition is one of the common technologies in most unmanned supermarkets. In the process of consumption, consumers use their mobile phone to enter the store like swiping their card in the subway. At the same time, the camera at the entrance will carry out face recognition. This is an artificial intelligence that can carry out in-depth learning. It can analyze photos, describe the contents of photos and related objects in detail, and judge the gender, facial expression, emotional state, clothing and even beard of characters in scanned photos.

4、 RFID Technology

RFID technology is a crucial link in the field of unmanned retail.

In one sentence, summarize the technical link of shopping in the unmanned supermarket, that is, by adding RFID tags (commonly known as electronic tags) to each commodity, and then automatically identify the target object and obtain relevant data through RF signals with the help of visual sensors, pressure sensors and other technologies, so as to carry out non-contact automatic identification and complete commodity sales.

At present, RFID tags are mostly used in unmanned supermarkets for commodity identification. RFID, called radio frequency identification, is a communication technology. It can identify specific targets and read and write relevant data through radio signals without establishing physical contact between the identification system and specific targets. Radio frequency is generally microwave, which is suitable for short-range identification communication.

RFID tags are pasted on each commodity to identify and settle the goods purchased by customers in the “payment tunnel”. RFID is a mature and cheap solution. Retail giant Wal Mart also uses similar technologies to improve the management efficiency of the supply chain.

When the customer leaves the store, the sensor will scan the RFID tag, reconfirm the goods purchased by the consumer, and automatically settle the amount on the consumer’s account.

Of course, it also has some problems. It can’t identify goods with special materials such as glass. Therefore, some businesses, such as wheat smart convenience store, use mobile phones to scan the QR code on the shelf or directly scan the bar code on the commodity packaging to complete the mobile payment of goods, so as to avoid the disadvantages of RFID.

But at the same time, RFID technology also has problems such as inconsistent standards, high cost and data collision. RFID manufacturers still need to practice if they want to embark on the fast lane of the Internet of things.

Compared with the traditional bar code, RFID identifier can identify and read multiple RFID tags at the same time; In addition, when covered, RFID can penetrate non-metallic or non transparent materials such as paper, wood and plastic, and can conduct penetrating communication; RFID is not limited by size and shape in reading. This is why RFID technology is used in many unmanned retail stores.

5、 Artificial intelligence, deep learning technology

Artificial intelligence and in-depth learning are gradually integrated into video security monitoring. With the help of video intelligent analysis technology, the functions of remote shop inspection, passenger flow statistical analysis, regional heat analysis and POS cashier supervision can be realized, so as to improve the management efficiency of unmanned supermarkets. With the help of face recognition technology, the regional passenger flow and customer face recognition information of retail places can be realized. Through passenger flow analysis and business super heat map, the data information of store operation can be analyzed and counted to generate reports, so as to provide data decision-making basis for operation management.

6、 Sensor technology

In addition to applying AI technologies such as computer vision, unmanned retail also involves large-scale sensors and intelligent devices in the whole process from store entry, shopping to settlement.

For the gravity sensor, the goods are taken, the goods are reduced and the weight is reduced; The goods are put back, the goods increase and the weight increases. Therefore, the change of weight value can indicate taking or putting back.

For infrared, in a specific place, if the goods are put back, the infrared will be blocked, if the goods are taken, the infrared will not be blocked. It can be taken or put back through infrared occlusion status.

To sum up, biometric technology entering unmanned retail stores — image recognition technology for product purchase — Fred technology for product settlement, etc. are closely related to security technology.

Unmanned retail is naturally the testing ground for various intelligent security technologies. From the initial anti-theft and loss prevention, to the later fine management of supporting retail, to the new goal of plasticization, intelligence and collaboration of retail infrastructure, it is a new application and extension of Internet of things technology, image intelligent analysis technology, video monitoring technology and biometric technology on the basis of the original anti-theft and loss prevention.

Artificial intelligence and in-depth learning are gradually integrated into video security monitoring. With the help of video intelligent analysis technology, the functions of remote shop inspection, passenger flow statistical analysis, regional heat analysis and POS cashier supervision can be realized, so as to improve the management efficiency of unmanned supermarkets. With the help of face recognition technology, the regional passenger flow and customer face recognition information of retail places can be realized. Through passenger flow analysis and business super heat map, the data information of store operation can be analyzed and counted to generate reports, so as to provide data decision-making basis for operation management.

In short, unmanned retail stores will give full play to the increasingly mature Internet of things technology, video intelligent analysis technology, face recognition technology and mobile payment technology.

Responsible editor: CT

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