Time statistical system and method thereof

Abstract

The invention discloses a time statistical system and a method thereof, and relates to the technical field of intelligent identification. With the popularization and development of the intelligent identification technology, the intelligent identification technology is widely applied to the field of time statistics systems and methods, such as public service occasions such as banks, shopping malls, hospitals and the like. The method can be specifically applied to busy and idle statistics of businesses of some posts, customer reception time and times, customer information registration, category level positioning and the like, and provides data support for operators to grasp market changes and adjust operation means through a scientific and accurate statistical method, post assessment, employee evaluation, management specification formulation and the like. And marketing and business promotion can be better realized, human resources are reasonably allocated, and the management level of managers and the market competitiveness of enterprises are improved.

Description

technical field [0001] The invention discloses a time statistics system and a method thereof, and relates to the technical field of intelligent identification. Background technique [0002] Modern business competition is fierce, and the business management model is gradually changing from traditional extensive management to proactive fine management. At present, many small and medium-sized stores in China usually use manual statistics and estimation of passenger flow. The real-time performance is poor, the statistical workload is heavy, and the data is difficult to save and inaccurate, which affects the effectiveness and continuity of statistics. For large public places with dense crowds such as supermarkets, exhibition halls, banks, hospitals, etc., passenger flow data is an important basis for measuring operating conditions, and scientific statistical methods for passenger flow data can objectively reflect operating conditions. Grasp the weak changes in the market in the ...

AI Technical Summary

Problems solved by technology

[0005] In view of the problems existing in the current statistical time and its methods by means of intelligent identification, for example, it is impossible to make quantitative statistics on the number of times the branch receives customers and the length of reception time, etc., and it cannot reflect the busy status of the statistical position and the length of time it receives customers and other information, the present invention provides a method based on artificial intelligence and machine vision, through network cameras and artificial intelligence algorithms to count the busy and idle data of posts

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