CN112037373A - Five-prevention safety auxiliary device based on face recognition - Google Patents
Five-prevention safety auxiliary device based on face recognition Download PDFInfo
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- CN112037373A CN112037373A CN202010797432.5A CN202010797432A CN112037373A CN 112037373 A CN112037373 A CN 112037373A CN 202010797432 A CN202010797432 A CN 202010797432A CN 112037373 A CN112037373 A CN 112037373A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00896—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys specially adapted for particular uses
Abstract
A five-prevention safety auxiliary device based on face recognition belongs to the field of safety devices. The system comprises a network communication module, an unlocking control module, a visible light image acquisition module and a face recognition processing module, and can realize database management, parameter display, unlocking control and face recognition functions; the information confirmation of the operator can be provided for the five-prevention safety auxiliary device without a special key or an identification plate; based on face recognition algorithm, through carrying out face recognition to operating personnel, provide operating personnel's information for five prevent safety auxiliary device and confirm, improve the security of five prevent key, prevent the maloperation. The safety of the five-prevention key is improved, the problems that the five-prevention lock management efficiency is low, the safety coefficient is low, the unlocking time is long, the unlocking is inaccurate and the like in the operation and maintenance process of the transformer substation are solved, and finally the improvement of the management level of a power supply system is facilitated. The five-prevention key management method can be widely applied to the field of five-prevention key management of regional power supply companies.
Description
Technical Field
The invention belongs to the field of safety devices, and particularly relates to a five-prevention safety auxiliary device based on face recognition.
Background
In modern society, power systems are a very important infrastructure.
The stable operation of power systems is in every business of the society. Among these, the key infrastructure to control power transmission and distribution is the substation, which is the hub of the power system. The electric equipment is regularly inspected, and potential safety hazards in the electric power system are timely inspected. The safe and stable operation of the transformer substation can be ensured.
When the five-prevention lock, namely a five-prevention mechanical program lock in a five-prevention system of a transformer substation, a power supply company and other transformer substations are operated on site, the unlocking time and the timeliness rate of the five-prevention mechanical program lock are required according to regulations, otherwise, the safe, unified and efficient operation of a power system is influenced.
The face recognition technology is a new development direction which can be seen well in the technical field of computers, develops along with the development of artificial intelligence technology, is widely applied to various industries such as safety protection, consumption and payment, industry and the like, has the advantages of high accuracy, strong timeliness and the like, and has wide development prospect.
With the rapid development of an electric power system and the wide application of various intelligent management technical means in the operation and maintenance management of the transformer substation, in the operation and maintenance process of the transformer substation, the practical operation problems of low five-prevention lock management efficiency, low safety coefficient, long unlocking time, inaccurate unlocking and the like exist. Aiming at the technical problems of influencing the operation and maintenance safety and reliability of the transformer substation, how to provide a five-prevention safety auxiliary device capable of confirming information of an operator, the safety of a five-prevention key is improved, and the five-prevention safety auxiliary device is a practical problem to be solved urgently in actual work.
Disclosure of Invention
The invention aims to solve the technical problem of providing a five-prevention safety auxiliary device based on face recognition. It carries out face identification to operating personnel through using face identification device, need not special key or signboard, can provide operating personnel's information confirmation to five-prevention safety auxiliary device, improves the security of five-prevention key to solve five-prevention lock low management efficiency, factor of safety low, the time of unblanking long, the inaccurate scheduling problem of unblanking that exists among the transformer substation operation maintenance process, finally help realizing the promotion of power supply system management level.
The technical scheme of the invention is as follows: the utility model provides a five prevent safety auxiliary device based on face identification, characterized by:
the five-prevention safety auxiliary device based on the face recognition comprises a network communication module, an unlocking control module, a visible light image acquisition module and a face recognition processing module, and can realize the functions of database management, parameter display, unlocking control and face recognition;
the five-prevention safety auxiliary device based on the face recognition supports the identity verification function of workers unlocked by one key based on the face recognition, and information confirmation of operators can be provided for the five-prevention safety auxiliary device without a special key or a recognition board;
the five-prevention safety auxiliary device based on the face recognition is based on a face recognition algorithm, the face recognition is carried out on an operator, information confirmation of the operator is provided for the five-prevention safety auxiliary device, the safety of a five-prevention key is improved, and misoperation is prevented.
Specifically, the five-prevention safety auxiliary device based on the face recognition adopts a face recognition algorithm to carry out face recognition identity verification on substation workers so as to ensure that the workers have operation authority, and can realize face unlocking to obtain a five-prevention key, so that the operation authority of the substation switchgear is obtained, and a feasible effective scheme is provided for five-prevention safety.
Specifically, the five-prevention safety auxiliary device based on the face recognition adopts a recognition method based on a characteristic face, a principal component subspace is constructed according to a group of face training images, a test image is projected onto the principal component subspace during recognition, a group of projection coefficients are obtained, and the projection coefficients are compared with the face images of known people for recognition.
Furthermore, the main controller of the five-prevention safety auxiliary device for face recognition adopts an STM32F429 chip, an integrated high-speed DCMI interface is connected with the OV2640 camera module, and a face recognition algorithm is adopted to realize a local quick face unlocking function.
Further, the OV2640 camera module is a CMOS-type visible light digital sensor, and performs various compensation operations on the captured image, including processing of white balance, saturation, gamma curve, and chromaticity.
Specifically, the face recognition algorithm comprises the following steps:
step 1: visible light image acquisition:
step 2: face recognition:
and step 3: the key box is unlocked.
Further, the visible light image acquisition comprises: an OV2640 camera module is adopted to collect face image information; and acquiring real-time image data of the visible light camera module, and finishing preprocessing so as to facilitate subsequent identification work.
Further, the face recognition includes: the face image is preprocessed, the features of the face image are extracted, the face image is classified and recognized to obtain identity information of workers, and recognition results are recorded and stored.
Further, the key box unlocking comprises:
the staff of the transformer substation can perform the related functions of face recognition, identity verification and unlocking and locking only by operating according to the unlocking flow of the face recognition five-prevention key box.
The operation steps of the five-prevention safety auxiliary device based on the face recognition comprise:
(1) when an operator needs a key in the five-prevention key box, the face is looked forward and a camera is collected, and the position and the angle of the face can be adjusted through feedback of a display screen;
(2) pressing a face unlocking button, and judging the identity of a worker by the control system through comparing face data;
(3) after the identity identification is successful, the key box is unlocked, and the worker closes the key box after taking out the key;
(4) the process of returning the key is consistent with the above flow.
Compared with the prior art, the invention has the advantages that:
1. the safety is high:
the human face recognition algorithm of the invention is based on a characteristic analysis method, namely, the relative ratio of the human face reference points and other shape parameters or category parameters describing the human face characteristics form recognition characteristic vectors together, the recognition based on the whole face not only reserves the topological relation among all parts of the human face, but also reserves the information of all parts, and the accurate and safe human face recognition can be realized.
2. The recognition rate is high:
the human face recognition method constructs the principal component subspace according to a group of human face training images, because the principal component has the shape of a face, also called a characteristic face, a test image is projected onto the principal component subspace during recognition to obtain a group of projection coefficients, and the projection coefficients are compared with the human face images of all known people for recognition, so that the recognition effect is good, and the very high recognition rate can be realized.
3. The communication is reliable and efficient:
the communication module of the invention adopts UDP communication protocol. The protocol has the advantages of low resource consumption, low delay in the data transmission process and high processing speed.
4. Unlocking is reliable and safe:
the invention adopts the trigger type electronic lock, and controls the opening and closing state of the electronic lock through the unlocking control module. The unlocking control module is connected with the face unlocking five-prevention key box main controller in a serial port communication mode. The main controller sends unlocking and closing commands to the unlocking control module, so that the opening and closing states of the five-prevention key box are realized, and the safety of the five-prevention key is guaranteed.
Drawings
FIG. 1 is a face recognition five-prevention key control software framework of the present invention;
FIG. 2 is a flowchart of an OV2640 image reading procedure of the present invention;
FIG. 3 is a flow chart of a face recognition algorithm of the present invention;
fig. 4 is a flow chart of face recognition five-prevention lock unlocking according to the invention.
Detailed Description
The invention is further illustrated with reference to the following figures and examples.
A human face recognition five-prevention key box control software framework based on the invention is shown in figure 1, and a main controller of the device adopts an STM32F429 chip and an integrated high-speed DCMI interface to connect with an OV2640 camera module, so that the local quick face unlocking function is realized. The method based on feature analysis is that the relative ratio of the human face reference points and other shape parameters or category parameters describing the human face features are combined to form a recognition feature vector as a human face recognition algorithm.
As shown in fig. 1, the face recognition five-prevention device software mainly comprises a network communication module, an unlocking control module, a visible light image acquisition module and a face recognition processing module, and can realize the functions of database management, parameter display, unlocking control and face recognition.
The five-prevention safety auxiliary device based on the face recognition supports the identity verification function of workers unlocked by one key based on the face recognition, and information confirmation of operators can be provided for the five-prevention safety auxiliary device without a special key or a recognition board;
the five-prevention safety auxiliary device based on the face recognition is based on a face recognition algorithm, the face recognition is carried out on an operator, information confirmation of the operator is provided for the five-prevention safety auxiliary device, the safety of a five-prevention key is improved, and misoperation is prevented.
Specifically, a flowchart of a procedure for reading an image by the OV2640 camera module is shown in fig. 2:
step 1: visible light image acquisition
And acquiring real-time image data of the visible light camera module, and finishing necessary preprocessing so as to facilitate subsequent identification work. The OV2640 is a CMOS visible light digital sensor, and a camera module of the OV2640 is used for collecting the image information of the human face.
Step 2: face recognition
The method comprises the steps of preprocessing a face image, extracting features, classifying and identifying to obtain identity information of workers, recording and storing an identification result, and specifically, the flow is shown in fig. 3.
Firstly, a human face is detected, key points are generally positioned after the human face is detected, information such as eyes, a nose, a mouth corner and the like of the human face is positioned, the human face is corrected by utilizing the information, and the human face is converted into a more positive condition, so that the parts are better aligned when a model is analyzed or processed later. Finally, the description features of a human face are extracted and obtained, usually the feature expression of 100 multi-dimension to hundreds of dimensions, then the similarity or the distance between different human face features is used, the higher the similarity is, the better the similarity is, the smaller the distance is, the better the distance is, the relationship between two people is depicted, and then a domain value is used for judging whether the two people are one person or not.
And step 3: unlocking of key box
Further, by adopting the face recognition five-prevention safety auxiliary device in the technical scheme of the invention, the unlocking process of the face recognition five-prevention key box is shown in fig. 4.
The staff of the transformer substation can perform related functions such as face recognition, identity verification and unlocking according to the operation of the flow chart.
(1) When an operator needs a key in the five-prevention key box, the face is looked forward and a camera is collected, and the position and the angle of the face can be adjusted through feedback of a display screen;
(2) pressing a face unlocking button, and judging the identity of a worker by the control system through comparing face data;
(3) after the identity identification is successful, the key box is unlocked, and the worker closes the key box after taking out the key;
(4) the key return process is consistent with the above-described flow.
In order to verify the effect of the technical scheme, a certain transformer substation of Shanghai electric power company is selected as a test field, and related functions of face recognition, identity verification, unlocking of a related lock and the like of the five-prevention key box are verified. In the field test of the five-prevention key box, the following effects are obtained:
1. the safety is high. Based on the characteristic analysis method, the shape parameters or the category parameters of the facial features and the like form the recognition characteristic vector, the topological relation among all parts of the face is reserved, and the face can be recognized accurately and safely.
2. The recognition rate is high. During recognition, the test image is projected onto the principal component subspace to obtain a group of projection coefficients, and the group of projection coefficients are compared with the face images of all known people for recognition, so that the recognition effect is good, and the very high recognition rate can be realized.
3. The communication is reliable and efficient. And a UDP communication protocol is adopted, so that the delay in the data transmission process is small, and the processing speed is high.
4. The unlocking is reliable and safe. The invention adopts the trigger type electronic lock, controls the opening and closing state of the electronic lock through the unlocking control module, and ensures the safety of the five-prevention key.
Through field tests, the functional effects of the network communication module, the unlocking control module, the visible light image acquisition module and the face recognition processing module are respectively verified, and the functions of database management, parameter display, unlocking control, face recognition and the like can be realized.
According to the technical scheme, the face recognition device is used for carrying out face recognition on an operator, information confirmation of the operator is provided for the five-prevention safety auxiliary device, and the safety of the five-prevention key is improved, so that the problems of low management efficiency, low safety coefficient, long unlocking time, inaccurate unlocking and the like of a five-prevention lock in the operation and maintenance process of a transformer substation are solved, and the improvement of the management level of a power supply system is finally facilitated.
The invention can be widely applied to the field of five-prevention key management of regional power supply companies.
Claims (10)
1. The utility model provides a five prevent safety auxiliary device based on face identification which characterized by:
the five-prevention safety auxiliary device based on the face recognition comprises a network communication module, an unlocking control module, a visible light image acquisition module and a face recognition processing module, and can realize the functions of database management, parameter display, unlocking control and face recognition;
the five-prevention safety auxiliary device based on the face recognition supports the identity verification function of workers unlocked by one key based on the face recognition, and information confirmation of operators can be provided for the five-prevention safety auxiliary device without a special key or a recognition board;
the five-prevention safety auxiliary device based on the face recognition is based on a face recognition algorithm, the face recognition is carried out on an operator, information confirmation of the operator is provided for the five-prevention safety auxiliary device, the safety of a five-prevention key is improved, and misoperation is prevented.
2. The five-prevention safety auxiliary device based on the face recognition as claimed in claim 1, wherein the five-prevention safety auxiliary device based on the face recognition adopts a face recognition algorithm to perform face recognition identity verification on a transformer substation worker to ensure that the worker has an operation authority, and can realize face unlocking to obtain a five-prevention key, so that the operation authority of a transformer substation switchgear is obtained, and a feasible effective scheme is provided for five-prevention safety.
3. The five-prevention security assistance device based on human face recognition according to claim 1, wherein the five-prevention security assistance device based on human face recognition adopts a feature face-based recognition method to construct a principal component subspace from a set of human face training images, and during recognition, a test image is projected onto the principal component subspace to obtain a set of projection coefficients, and the set of projection coefficients is compared with the human face images of known people for recognition.
4. The five-prevention safety auxiliary device based on the face recognition as claimed in claim 1, wherein the main controller of the five-prevention safety auxiliary device based on the face recognition adopts an STM32F429 chip, an integrated high-speed DCMI interface is connected with an OV2640 camera module, and a face recognition algorithm is adopted to realize a local quick face unlocking function.
5. The five-prevention safety auxiliary device based on face recognition of claim 4, wherein the OV2640 camera module is a CMOS visible light digital sensor, and performs various compensation operations on the captured image, including white balance, saturation, gamma curve and chromaticity processing.
6. The five-prevention safety auxiliary device based on face recognition as claimed in claim 1, wherein the face recognition algorithm comprises the following steps:
step 1: visible light image acquisition:
step 2: face recognition:
and step 3: the key box is unlocked.
7. The five-prevention safety auxiliary device based on face recognition as claimed in claim 6, wherein the visible light image acquisition comprises:
an OV2640 camera module is adopted to collect face image information;
and acquiring real-time image data of the visible light camera module, and finishing preprocessing so as to facilitate subsequent identification work.
8. The five-prevention security assistance device based on face recognition according to claim 6, wherein the face recognition comprises:
the face image is preprocessed, the features of the face image are extracted, the face image is classified and recognized to obtain identity information of workers, and recognition results are recorded and stored.
9. The five-prevention security assistance device based on face recognition according to claim 6, wherein the key box unlocking comprises:
the staff of the transformer substation can perform the related functions of face recognition, identity verification and unlocking and locking only by operating according to the unlocking flow of the face recognition five-prevention key box.
10. The five-prevention safety assistant device based on human face recognition as claimed in claim 1, wherein the operation steps of the five-prevention safety assistant device based on human face recognition comprise:
(1) when an operator needs a key in the five-prevention key box, the face is looked forward and a camera is collected, and the position and the angle of the face can be adjusted through feedback of a display screen;
(2) pressing a face unlocking button, and judging the identity of a worker by the control system through comparing face data;
(3) after the identity identification is successful, the key box is unlocked, and the worker closes the key box after taking out the key;
(4) the process of returning the key is consistent with the above flow.
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