Face snapshot, screening and storage method and system for real estate transaction

Abstract

The invention provides a face snapshot, screening and storage method and system for real estate transactions, the system comprises a device end, a local end and a cloud end, the device end collects and snapshots face data of a visiting customer and cuts a video stream, the local end and the cloud end respectively store a local algorithm and a cloud end algorithm for screening, processing and storing snapshot images, and carrying out duplicate removal processing on the retrieved data according to a preset point location and preset time, wherein uploading and storage of the data are processed in a multi-thread mode. According to the method, the problems that customers are difficult to track, data management is disordered and the like when the visitor flow rate of a real estate sales site is excessive are solved, accurate positioning of the customers is realized based on face snapshot, disordered and redundant data stored by the customers are avoided, the workload of workers is reduced, and statistics and analysis of the customers are facilitated.

Description

technical field [0001] The invention relates to the technical field of facial data processing technology for real estate transactions, and in particular to a method and system for capturing, screening and storing human faces in real estate transactions. Background technique [0002] After the sale of the real estate, the number of visitors in the sales office is huge, the flow of personnel is intensive, and some customers may visit multiple times within a certain period of time, and the registration personnel at the reception post and other related service personnel alone cannot pass the memory management. , At present, sales offices generally use on-site data registration and combined with reception personnel to count and connect customer personnel, summarize personnel information, and grasp relevant information of visitors for analysis. [0003] The existing technology has the following problems in the way of summarizing, classifying and storing customer data: [0004] 1....

AI Technical Summary

Problems solved by technology

[0004] 1. Due to the large flow of visitors, the collected and aggregated visitor data information is chaotic and irregular, with a large amount of noise data and repeated redundant data, which has caused great interference and impact on the later statistics, aggregation, and screening. It is beneficial for the overall analysis of visiting customers in the later period, but it is not convenient for sales planning and marketing

[0005] 2. The customer data collection in the prior art tends to be manually recorded, and the workload is huge for the staff. In the chaotic situation on the scene, it is easy to leak some customers’ visiting data collection. At the same time, facing such a large number of personnel Circulation, as well as the diverse registration data of customers, the staff cannot identify the same customer who registered different data, and it is not convenient for standardized data collection, storage and management of visiting customers

[0006] 3. The entry and exit time of on-site personnel is continuous and uncertain. For the same customer who registers different data information, or enters and exits the site for a long time, the on-site customer will appear after a period of time. The data registration and statistics of personnel caused great disturbance

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