Self-certification method of dense cabinets in archives based on artificial intelligence

Abstract

The invention provides an artificial intelligence-based self-certification method for intensive cabinets in archives, the method comprising: processing the image of the dense cabinets by a key point detection network to obtain a heat map of key points of the rocker handle, and screening out the key point heat map of the rocker handle without The dense cabinet image of the dense cabinet with rocker handles, the cabinet body detection network processes the image of dense cabinets without rocker handle dense cabinets, and obtains the cabinet surrounding frame; the key points of the rocker handle or the center point of the cabinet body surrounding frame are projected into the BIM, Get the three-dimensional projection point, and judge whether the dense cabinet is opened according to the coordinates of the three-dimensional projection point. Whether there is unauthorized opening by personnel, it is also necessary to judge whether the dense cabinet is damaged. The present invention can determine whether relevant personnel have the authority to open some dense cabinets while opening the dense cabinets, so as to ensure the security of the file information in the dense cabinets.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to an artificial intelligence-based self-certification method for dense cabinets in archives. Background technique [0002] For some open or semi-open shelves, the relevant personnel cannot know in real time whether someone has opened the shelves that are not within their authority, which will bring huge losses to the archives. If all the shelves are replaced with smart shelves, It takes a lot of capital and time. [0003] The fault detection of the existing electric dense cabinets is often discovered by the staff and reported for repair, and the error caused by the mechanical structure often needs to be recalibrated when moving, but it is difficult for the human body to recognize the error in the distance, that is, the partial failure of the dense cabinet. Difficult to accurately identify and find. Contents of the invention [0004] In order to solve the above problems, t...

AI Technical Summary

Problems solved by technology

[0002] For some open or semi-open shelves, the relevant personnel cannot know in real time whether someone has opened the shelves that are not within their authority, which will bring huge losses to the archives. If all the shelves are replaced with smart shelves, cost a lot of capital and time

[0003] The fault detection of existing electric dense cabinets is often discovered by the staff and reported for repair, and the error caused by the mechanical structure often needs to be recalibrated when moving, but it is difficult for the human body to recognize the error in the distance, that is, the partial failure of the dense cabinet. Difficult to accurately identify and find

Images