Method and system for detecting and identifying dressing information of target person

Abstract

The invention discloses a method and system for detecting and identifying dressing information of a target person. The method comprises the steps: a, carrying out dressing image detection on the target person entering a specific region, and comparing the identified dressing image information with pre-stored dressing image information; collecting face image information of the target person enteringa specific region, and comparing the collected face image information with pre-stored face image information; and b, obtaining the dressing image information of the same target person, enabling the obtained dressing image information of the same target person and the face image information to form a one-to-one corresponding binding relationship, comparing the binding relationship with a pre-stored binding relationship, if the binding relationship is consistent with the pre-stored binding relationship, returning to the step a, otherwise, judging that the target person is an illegal person, andsending reminding information of accessing the illegal person. By means of the method, the dressing information of the person can be conveniently detected and counted; the working region informationof the target person can be effectively obtained in time, and effective data support is provided for staff management, so that the working efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of special working environments, in particular to a method and system for detecting and identifying clothing information of target personnel. Background technique [0002] The assembly, grinding and electric welding services of the existing shipyard construction industry and other industries usually do not manage and identify the attire of service personnel entering the shipyard construction site. If you want to manage the dress of employees, it can only be done by manual statistics, but manual statistics have the following defects: 1. The number of people counts is time-consuming and laborious, and it is easy to make mistakes in statistics; 2. It is impossible to know whether employees are required to work according to the area. 3. It is impossible to check the posts conveniently, and it is impossible to judge whether the employees are working hard on the posts. This is because it is impossible to record th...

AI Technical Summary

Problems solved by technology

If you want to manage the dress of employees, it can only be done by manual statistics, but manual statistics have the following defects: 1. The number of people counts is time-consuming and laborious, and it is easy to make mistakes in statistics; 2. It is impossible to know whether employees are required to work according to the area. 3. It is impossible to check the posts conveniently, and it is impossible to judge whether the employees are working hard on the posts. This is because it is impossible to record the employee's walking track, wandering, staying time, etc., so it cannot be confirmed The working hours of employees and judging the working attitude of employees; 4. Lack of big data analysis, outsourcing units falsely report the number of construction personnel, increasing costs

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