Face recognition method for field operation and construction management
A construction management and face recognition technology, applied in the field of face recognition, can solve problems such as low recognition efficiency, shooting environment, and high angle requirements, and achieve the effects of improving accuracy and efficiency, reducing storage consumption, and improving computing efficiency
Inactive Publication Date: 2018-03-06
STATE GRID SHAOXING POWER SUPPLY +1
View PDF3 Cites 2 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0014] The technical problem to be solved by the present invention is to provide a face recognition method to improve the accuracy and efficiency of face recognition in complex environments in view of the current face recognition algorithm that has high requirements on shooting environment and angle and low recognition efficiency
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0051] The invention solves the problems that the current face recognition algorithm has high requirements on the shooting environment and angle, and the recognition efficiency is low, improves the accuracy and efficiency of face recognition in complex environments, and realizes the face recognition of on-site construction workers and management personnel. Therefore, it prevents outsourced construction personnel from changing at will, prevents outsourced construction personnel with serious violation records from performing on-site operations, and checks the arrival of construction personnel on a functional basis, so as to prevent the occurrence of "work leaders and safety personnel" not arriving on site.
[0052] The face recognition algorithm based on compressed sensing uses the marked face training samples to form an over-complete dictionary. Assuming that there are K different types of faces, each training face image is sequentially pulled into an N×1-dimensional column vect...
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
Login to View More Abstract
The invention discloses a face recognition method for field operation and construction management. The face recognition method comprises the steps of first, constructing an over-complete dictionary psi=[(psi)1,..., (psi)i,..., (psi)k] according to face training samples; second, sequentially arranging test images into a column vector x; third, designing a measurement matrix Phi according to the over-complete dictionary psi; fourth, projecting the column vector x under the measurement matrix Phi to obtain a measurement vector y, and solving {alpha^i}; fifth, substituting the solved {alpha^i} into a formula (4.6) shown in the description so as to solve a judgment result of the input test sample. The face recognition method achieves face recognition for the field operation and construction personnel and the management personnel, performs projection through the measurement matrix on the one hand so as to enable the transmitted and calculated data to be reduced, improve the calculation efficiency and reduce the storage consumption, and can improve the accuracy and the efficiency of face recognition under a complex environment on the other hand.
Description
technical field [0001] The invention relates to the technical field of electric power construction safety supervision, and is specifically used for face recognition of personnel entering a construction site. Background technique [0002] In recent years, power supply enterprises have paid more and more attention to the management of the identity of the external cooperation team members, in order to avoid the security risks caused by the frequent replacement of the external cooperation team personnel, mainly adopt the following methods: [0003] 1. QR code: Use QR codes and photos to uniquely identify outsourcing team members. During inspections, scan QR codes for identification, which has problems such as low efficiency and easy forgery. [0004] 2. Passive RFID technology: Passive RFID cards are used to uniquely identify the personnel of the outsourcing team. During the inspection, the identification is carried out through non-contact scanning of the handheld terminal, whic...
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
Login to View More IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/16G06F18/2155
Inventor 张旭阳章伟林姚建立张学军童国峰樊建惠魏春晖章启鸿张毅磊董继明黄苏章琦杨炀柳怡晨傅力帅林泽科
Owner STATE GRID SHAOXING POWER SUPPLY