Passenger flow statistics are of extraordinary significance to the retail industry. Store sales=customer flow × transaction rate × customer unit price. It can be said that store customer flow statistics are directly linked to store performance, which is the basis for accurate marketing. According to statistics, more than 90% of large shopping malls and chain commercial outlets in developed countries and cities such as Singapore, Hong Kong, Japan, Europe and the United States have widely used real-time passenger flow analysis systems.
So, how can we conveniently and effectively count the passenger flow information of department stores, supermarkets and other places? In order to accurately count the passenger flow, what technologies and methods have been used in the industry? Today, let's take a look at it together.
Manual statistics, as the name suggests, is to arrange staff at the entrance and exit to hold a counter to count the number of people coming and going. This method is time-consuming, labor-intensive, and costly, and the accuracy is easily affected by human negligence. Therefore, the method of manually counting passenger flow can only be used as an approximate count in a certain period of time, which lacks comprehensiveness and effectiveness.
The three-roller gate mainly adopts mechanical method. When customers enter the relevant field, the rolling of the rollover gate records the number of passengers. This method is more accurate in statistics, but because it needs to install a three-roller gate machine at the entrance and exit, it lacks aesthetics and convenience for shopping malls, so it is not suitable for applications in shopping malls and other places.
Infrared sensing passenger flow statistics equipment can be divided into: infrared opposite-beam, infrared reflection and other equipment. The main implementation method is to sense the resistance change caused by cutting off or blocking infrared rays when people pass through the infrared sensing area, or by detecting the 10um emitted by the human body. left and right specific infrared rays to determine the number of people.
The disadvantage of this method is that, first, the infrared light is easily disturbed by external factors, resulting in a large error in the statistical data; it is also prone to leakage when many people pass by at the same time. Second, the infrared method cannot accurately determine whether customers are entering or leaving, and the singleness of data collection affects the results of passenger flow analysis.
Gravity sensing is mainly to install a gravity sensing device on the floor. When the human body steps on it, the gravity sensing is triggered to calculate the number of passengers. However, due to the relatively high installation requirements, high cost, and stability problems, it is rarely used by commercial users.
Wi-Fi probe technology can count the number of consumers in the store according to the mobile phone, and can also track the consumer's movement trajectory in the store according to the mobile phone IP. For modern people who do not leave their mobile phones, this statistical method can relatively accurately understand the passenger flow. However, if you don't have a mobile phone, turn off the wireless, etc., this technology can't help.
Combining the above several traditional passenger flow statistics methods, it is difficult to better meet the needs of business users. With the continuous update and development of technology, the passenger flow analysis system using video analysis technology has begun to emerge. Its superior performance, simple implementation, and low cost are gradually being widely used in shopping malls, chain stores and other places.
The technology only needs to install cameras above the entrances and exits or other areas that need to count the flow of people to achieve accurate statistics on the flow of people in shopping malls or stores.
Take Ulucu's passenger flow statistics solution as an example. The system integrates multiple technologies such as video processing, image processing, and motion trajectory tracking. It can not only protect user privacy, but also use various modes such as head, head and shoulders, and whole body. Accurate detection of human figures can also be achieved, and through the detection and tracking of human figures in different postures of static and walking in the video, accurate statistics of the flow of customers passing through the store, the flow of customers entering the store, the length of stay, and the analysis of customer shopping routes (hot zone analysis), etc.
Entry store flow
Pass by store flow
In addition, for invalid data such as staff and duplicate personnel, deduplication can also be achieved through calculation methods such as humanoid detection, structured data combined with eigenvalue extraction of the Ulucu algorithm, and the data accuracy rate can be further improved.
More importantly, through the extraction and analysis of these passenger flow data, it can also guide store operations, evaluate activity effects and shopping guide efficiency, and optimize shopping guide scheduling... It can be said that it is a powerful tool for stores to optimize operations and improve performance.
Big data empower each step
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