Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Production workshop safety management method and system based on face recognition

A production workshop and safety management technology, applied in the field of production workshop safety management based on facial recognition, can solve the problems of tracking, inability to operate personnel supervision, and disadvantageous upper management, and achieve improved safety management mode, timely remote monitoring, high application The effect of promoting value

Inactive Publication Date: 2020-09-25
南京金陵塑胶化工有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The entrance and exit access control safety management system is a new modern safety management system, which integrates microcomputer automatic identification technology and modern safety management measures. Polypropylene completes the production and processing process in the workshop. Now it is impossible to effectively supervise and track the operators entering the workshop. Tracking, and when a liability accident occurs, real-time evidence collection cannot be carried out, which is not conducive to upper management, making the management of the polypropylene production workshop lack of safety and confidentiality

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with the best embodiments.

[0016] The present invention comprises the following steps: a. Obtaining a face recognition model through deep learning; b. The recognition camera at the entrance of the workshop collects real-time images, judges through the face recognition model, and sends an access control opening and closing instruction to the monitoring platform; c. The monitoring platform controls the opening and closing of the access control; d. The monitoring camera collects the monitoring video in the workshop in real time and uploads it to the monitoring platform; e. The monitoring platform transfers the time period of the staff in the workshop according to the time period of the staff in the workshop The surveillance video in . Before the staff enters the polypropylene prod...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a production workshop safety management method and system based on face recognition. The method comprises the following steps: obtaining a face recognition model through deeplearning; enabling a recognition camera at the entrance of the workshop to collect a real-time image, and send an entrance guard opening and closing instruction to the monitoring platform through judgment of the face recognition model; enabling the monitoring platform to control opening and closing of the entrance guard; enabling the monitoring camera to collect a monitoring video in a workshop inreal time and upload the monitoring video to the monitoring platform; and enabling the monitoring platform to call the monitoring video of the worker in the workshop according to the time period of the worker in the workshop. According to the invention, the entrance and exit of the polypropylene production and processing workshop and each position in the workshop can be comprehensively monitored,intuitive, accurate and timely remote monitoring is realized, information data interaction and linkage response between systems are realized, the safety management mode of the polypropylene production and processing workshop is comprehensively improved, and the application and popularization value is relatively high.

Description

technical field [0001] The invention relates to the technical field of polypropylene processing safety management, in particular to a method and system for safety management of a production workshop based on facial recognition. Background technique [0002] Polypropylene is a kind of thermoplastic resin prepared by polymerization of propylene monomer. It is non-toxic and tasteless. Its strength, stiffness, hardness and heat resistance are all better than low-pressure polyethylene. It can be used at about 100 degrees and has good electrical properties. And high-frequency insulation, not affected by humidity, suitable for making general mechanical parts, corrosion-resistant parts and insulating parts, widely used in engineering fields (polypropylene pipes), household appliances, automobile manufacturing and other fields. [0003] The entrance and exit access control safety management system is a new modern safety management system, which integrates microcomputer automatic iden...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G07C9/37H04N7/18
CPCG07C9/37H04N7/181
Inventor 戚琳李业庆房翠
Owner 南京金陵塑胶化工有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products