CN110969744A - Safety monitoring method based on face recognition - Google Patents
Safety monitoring method based on face recognition Download PDFInfo
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- CN110969744A CN110969744A CN201811126822.9A CN201811126822A CN110969744A CN 110969744 A CN110969744 A CN 110969744A CN 201811126822 A CN201811126822 A CN 201811126822A CN 110969744 A CN110969744 A CN 110969744A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- Oral & Maxillofacial Surgery (AREA)
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- Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
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Abstract
The invention discloses a safety monitoring method based on face recognition, which comprises the following steps: receiving a door opening request triggered by a user, and starting a camera device to shoot a real-time image of the current user; analyzing the real-time image of the current user, and judging the number of faces in the real-time image of the current user; when the number of the faces in the real-time image of the current user is one, storing the current real-time image as the face image of the current user; when the number of the faces in the real-time image of the current user is at least two, selecting the face with the largest area size as the face image of the current user; judging whether the current user meets the entrance guard opening condition according to the face image of the current user, and if not, repeating the steps; if so, generating an entrance guard opening instruction to control an entrance guard system to open the door. The safety monitoring method can effectively improve the safety of opening the entrance guard.
Description
Technical Field
The invention relates to a safety monitoring method based on face recognition.
Background
At present, the application field of face recognition is very wide, the face recognition plays an important role in numerous fields such as financial payment, entrance guard attendance, identity recognition and the like, and great convenience is brought to the life of people. At present, an ATM self-service withdrawal room of a bank is an open place basically, and any person can freely enter and exit as long as an access control switch button is pressed down or an access control system senses that someone can automatically open a door, so that potential safety hazards exist in the ATM self-service withdrawal room. Therefore, how to use face recognition to prevent criminals from entering the ATM self-service withdrawal room and maintain the reputation and the security of the bank is a problem which needs to be solved urgently.
Disclosure of Invention
The invention aims to provide a safety monitoring method based on face recognition, and the safety of a monitored area can be effectively improved through the safety monitoring method.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a safety monitoring method based on face recognition comprises the following steps:
receiving a door opening request triggered by a user, and starting a camera device to shoot a real-time image of the current user;
analyzing the real-time image of the current user, and judging the number of faces in the real-time image of the current user;
when the number of the faces in the real-time image of the current user is one, storing the current real-time image as the face image of the current user;
when the number of the faces in the real-time image of the current user is at least two, comparing the sizes of the areas occupied by all the faces, and selecting the face with the largest area size as the face image of the current user;
judging whether the current user accords with the entrance guard opening condition or not according to the face image of the current user,
if not, repeating the steps;
if so, generating an entrance guard opening instruction to control an entrance guard system to open the door.
As a specific embodiment, the analyzing the real-time image of the current user and determining the number of faces in the real-time image of the current user specifically includes:
preprocessing the real-time image;
judging whether the real-time image contains human eye characteristic information or not;
if so, further
Reprocessing the real-time image and analyzing the number of human eyes contained in the real-time image;
if the number of the human eyes in the real-time image is one, not counting;
if the number of the human eyes in the real-time image is two, the method further comprises the step of
And judging whether the distance between the two human eyes is within a preset distance range, and counting the number of one human face if the distance between the two human eyes is within the preset distance range.
As a specific embodiment, the access control opening condition is:
the facial image of the current user is matched with at least one of the plurality of photos stored in the user identity information database of the bank.
Compared with the prior art, the invention has the following outstanding technical effects:
the safety monitoring method based on the face recognition effectively ensures the safety of opening the entrance guard by shooting the face image of the current user and matching the face image with the photo in the user identity information database in the bank identity card system.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Detailed Description
In order to fully understand the objects, features and effects of the present invention, the conception, the specific structure and the technical effects will be further described.
A safety monitoring method based on face recognition comprises the following steps:
receiving a door opening request triggered by a user, and starting a camera device to shoot a real-time image of the current user;
analyzing the real-time image of the current user, and judging the number of faces in the real-time image of the current user;
when the number of the faces in the real-time image of the current user is one, storing the current real-time image as the face image of the current user;
when the number of the faces in the real-time image of the current user is at least two, comparing the sizes of the areas occupied by all the faces, and selecting the face with the largest area size as the face image of the current user;
judging whether the current user accords with the entrance guard opening condition or not according to the face image of the current user,
if not, repeating the steps;
if so, generating an entrance guard opening instruction to control an entrance guard system to open the door.
As a specific embodiment, the analyzing the real-time image of the current user and determining the number of faces in the real-time image of the current user specifically includes:
preprocessing the real-time image;
judging whether the real-time image contains human eye characteristic information or not;
if so, further
Reprocessing the real-time image and analyzing the number of human eyes contained in the real-time image;
if the number of the human eyes in the real-time image is one, not counting;
if the number of the human eyes in the real-time image is two, the method further comprises the step of
And judging whether the distance between the two human eyes is within a preset distance range, and counting the number of one human face if the distance between the two human eyes is within the preset distance range.
As a specific embodiment, the access control opening condition is:
the facial image of the current user is matched with at least one of the plurality of photos stored in the user identity information database of the bank.
Compared with the prior art, the invention has the following outstanding technical effects:
the safety monitoring method based on the face recognition effectively ensures the safety of opening the entrance guard by shooting the face image of the current user and matching the face image with the photo in the user identity information database in the bank identity card system.
Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The present invention is not limited to the above-described embodiments, and various modifications and variations of the present invention are intended to be included within the scope of the claims and the equivalent technology of the present invention if they do not depart from the spirit and scope of the present invention.
Claims (3)
1. A safety monitoring method based on face recognition is characterized in that:
receiving a door opening request triggered by a user, and starting a camera device to shoot a real-time image of the current user;
analyzing the real-time image of the current user, and judging the number of faces in the real-time image of the current user;
when the number of the faces in the real-time image of the current user is one, storing the current real-time image as the face image of the current user;
when the number of the faces in the real-time image of the current user is at least two, comparing the sizes of the areas occupied by all the faces, and selecting the face with the largest area size as the face image of the current user;
judging whether the current user accords with the entrance guard opening condition or not according to the face image of the current user,
if not, repeating the steps;
if so, generating an entrance guard opening instruction to control an entrance guard system to open the door.
2. The safety monitoring method based on face recognition according to claim 1, wherein the analyzing the real-time image of the current user and the determining the number of faces in the real-time image of the current user specifically comprises:
preprocessing the real-time image;
judging whether the real-time image contains human eye characteristic information or not;
if so, further
Reprocessing the real-time image and analyzing the number of human eyes contained in the real-time image;
if the number of the human eyes in the real-time image is one, not counting;
if the number of the human eyes in the real-time image is two, the method further comprises the step of
And judging whether the distance between the two human eyes is within a preset distance range, and counting the number of one human face if the distance between the two human eyes is within the preset distance range.
3. The safety monitoring method based on face recognition according to claim 1, wherein the access control opening condition is as follows:
the facial image of the current user is matched with at least one of the plurality of photos stored in the user identity information database of the bank.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811126822.9A CN110969744A (en) | 2018-09-26 | 2018-09-26 | Safety monitoring method based on face recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811126822.9A CN110969744A (en) | 2018-09-26 | 2018-09-26 | Safety monitoring method based on face recognition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110969744A true CN110969744A (en) | 2020-04-07 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811126822.9A Withdrawn CN110969744A (en) | 2018-09-26 | 2018-09-26 | Safety monitoring method based on face recognition |
Country Status (1)
| Country | Link |
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| CN (1) | CN110969744A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112560775A (en) * | 2020-12-25 | 2021-03-26 | 深圳市商汤科技有限公司 | Switch control method and device, computer equipment and storage medium |
| CN112580553A (en) * | 2020-12-25 | 2021-03-30 | 深圳市商汤科技有限公司 | Switch control method, device, computer equipment and storage medium |
-
2018
- 2018-09-26 CN CN201811126822.9A patent/CN110969744A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112560775A (en) * | 2020-12-25 | 2021-03-26 | 深圳市商汤科技有限公司 | Switch control method and device, computer equipment and storage medium |
| CN112580553A (en) * | 2020-12-25 | 2021-03-30 | 深圳市商汤科技有限公司 | Switch control method, device, computer equipment and storage medium |
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| PB01 | Publication | ||
| PB01 | Publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20200407 |
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| WW01 | Invention patent application withdrawn after publication |