CN113705413A - Kitchen monitoring method and device and storage medium - Google Patents
Kitchen monitoring method and device and storage medium Download PDFInfo
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- CN113705413A CN113705413A CN202110968539.6A CN202110968539A CN113705413A CN 113705413 A CN113705413 A CN 113705413A CN 202110968539 A CN202110968539 A CN 202110968539A CN 113705413 A CN113705413 A CN 113705413A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 44
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000012806 monitoring device Methods 0.000 claims abstract description 20
- 239000000779 smoke Substances 0.000 claims abstract description 6
- 238000004590 computer program Methods 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 4
- 230000006399 behavior Effects 0.000 description 3
- 230000000391 smoking effect Effects 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
Abstract
The invention discloses a kitchen monitoring method, a kitchen monitoring device and a storage medium, wherein the method comprises the following steps: acquiring an image, wherein the image comprises kitchen staff; determining whether a set type target exists in the image according to a preset image recognition algorithm, wherein the set type target comprises: workers who do not wear working caps, workers who do not wear masks, workers who do not wear health certificates and workers who smoke; if yes, an alarm instruction is sent to an alarm device, and the alarm instruction is used for indicating the alarm device to send alarm information. The monitoring method ensures that the labor cost of enterprises is saved, automatic monitoring of a kitchen is realized, and illegal operations of kitchen personnel such as wearing no mask, working caps and health certificates are reduced.
Description
Technical Field
The application relates to the field of computer vision, in particular to a kitchen monitoring method and device and a storage medium.
Background
In recent years, computer vision technology is becoming mature, intelligent video monitoring technology based on computer vision technology is widely applied to places with dense people flow, such as hotels, enterprises, gymnasiums, hospitals, construction sites, stations and the like, and people pay more attention to health and health along with higher living standard of people, the requirements for the catering industry are also improved, the bright kitchen range is more and more emphasized by people, in order to ensure that the management of the catering industry on the kitchen ranges is more and more standard, whether the action of looking screen staff at the kitchen of dining room is the demand that the detection that goes on standardizes constantly increases, realizes that real time monitoring management is more and more important, and screen monitoring technology appears according to the kitchen intelligence based on video monitoring technology, to the nonstandard operation of kitchen staff, including not wearing gauze mask, work cap and health card and smoking scheduling problem, solve above-mentioned problem immediately.
In the prior art, monitoring equipment is installed in a kitchen, manual observation is carried out on a background, the labor cost of an enterprise is increased, careless work omission occurs for people who observe and monitor the background, and kitchen problems cannot be found immediately.
Disclosure of Invention
In view of the above, it is necessary to provide a kitchen monitoring method, a kitchen monitoring device and a storage medium, which can automatically monitor actions of kitchen staff and reduce illegal operations such as wearing no mask, working cap and health certificate.
In order to achieve the above objects, the present invention provides a kitchen monitoring method,
the method comprises the following steps:
acquiring an image, wherein the image comprises kitchen staff;
determining whether a set type target exists in the image according to a preset image recognition algorithm, wherein the set type target comprises: workers who do not wear working caps, workers who do not wear masks, workers who do not wear health certificates and workers who smoke;
if yes, an alarm instruction is sent to an alarm device, and the alarm instruction is used for indicating the alarm device to send alarm information.
In one embodiment, the acquiring the image comprises:
and acquiring images based on the video stream, wherein the images are video frames in the video stream.
In one embodiment, the acquiring the image comprises:
acquiring a video stream according to video monitoring equipment and acquiring an image based on the video stream, wherein the image is a video frame in the video stream;
the method further comprises the following steps:
acquiring equipment information of video monitoring equipment, wherein the equipment information comprises mark information of the video monitoring equipment.
In one embodiment, the alarm device comprises a display screen, a mobile terminal or a server.
To achieve the above object, the present invention provides a kitchen monitoring device, comprising:
the system comprises an image acquisition module, a display module and a display module, wherein the image acquisition module is used for acquiring an image, and the image comprises kitchen staff;
the target identification module is used for determining whether a set type of target exists in the image according to a preset image identification algorithm, wherein the set type of target comprises: workers who do not wear working caps, workers who do not wear masks, workers who do not wear health certificates and workers who smoke;
and the alarm module is used for sending an alarm instruction to an alarm device when a set type of target exists in the image, and the alarm instruction is used for indicating the alarm device to send out alarm information.
In one embodiment, the image acquisition module is specifically configured to:
and acquiring images based on the video stream, wherein the images are video frames in the video stream.
In one embodiment, the image acquisition module is specifically configured to:
acquiring a video stream according to video monitoring equipment and acquiring an image based on the video stream, wherein the image is a video frame in the video stream;
the device further comprises:
and the equipment information acquisition module is used for acquiring the equipment information of the video monitoring equipment, wherein the equipment information comprises the equipment information of the third-party platform, and the stored video information is acquired.
In one embodiment, the alarm device comprises a display screen, a mobile terminal or a server.
A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to perform a kitchen monitoring method, apparatus and storage medium as described above.
The invention provides a kitchen monitoring method, a kitchen monitoring device and a storage medium, wherein different equipment platforms can be simultaneously accessed through a video gateway to acquire equipment information, data are analyzed through equipment video streams according to equipment snap charts, data with different dimensions are analyzed through big data to provide timely early warning information through a data display data large screen, and simultaneously, video data source parameters can be set, the parameters can designate video equipment analyzed at the same time, the pressure of a server is effectively reduced, automatic monitoring of a kitchen is realized, illegal operations such as no mask, no work cap and no health certificate are worn by kitchen personnel are reduced, and the labor cost of enterprises is saved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
FIG. 1 is a flow diagram of operations in one embodiment;
FIG. 2 is a schematic diagram of the device structure in one embodiment;
FIG. 3 is a diagram of acquiring a video from a third party platform in one embodiment;
fig. 4 is a block diagram of the structure of the device in one embodiment.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
With the increasingly mature computer vision technology, the intelligent screen monitoring technology based on the computer vision technology is widely applied to places with dense people flow, such as hotels, enterprises, gymnasiums, hospitals, construction sites and stations, with higher and higher living standard of people, people pay more attention to health and health, the requirements of the catering industry are also improved, bright kitchen light oven is more and more emphasized, in order to enable the catering industry to more and more standardize kitchen management, the requirement of detecting whether the behaviors of kitchen workers in restaurants are standardized is continuously increased, the realization of automatic monitoring management is more and more important, based on the appearance of the video monitoring technology, the problems need to be solved in real time aiming at the nonstandard operation of the kitchen workers, including the problems of not wearing masks, working caps, health certificates and smoking.
The prior art is that the supervisory equipment is installed in the back-end kitchen, and the manual work of backstage is watched, has increased the human cost of enterprise, and the people that the backstage was watched the control is inevitable to appear work carelessly neglected moreover, can not discover the back-end kitchen problem immediately.
In view of the above, a kitchen monitoring method is needed to automatically monitor the actions of kitchen staff and reduce illegal operations such as non-wearing of a mask, a work cap, health evidence and smoking of the kitchen staff.
The invention provides a kitchen monitoring method, as shown in fig. 1 and fig. 2, the method specifically includes step 102, step 104 and step 106.
At step 102, the computer 206 acquires an image via the monitoring device 202.
In one embodiment, the acquiring the image comprises:
and acquiring images based on the video stream, wherein the images are video frames in the video stream.
In the embodiment, the image is acquired by extracting the video frame from the video stream, and the video stream can be acquired through the internet. The way of extracting video frames from a video stream belongs to the prior art, and is not described herein again. In one embodiment, the acquiring the image comprises:
the computer 206 obtains a video stream from the video surveillance device 202 and obtains images based on the video stream, the images being video frames in the video stream.
The method further comprises the following steps:
the computer 206 obtains device information of the video surveillance device, which includes the identification information of the video surveillance device 202.
Specifically, each kitchen is provided with a corresponding video monitoring device 202, the third-party platform 204 is connected with the plurality of video monitoring devices 202 through a network, and videos acquired by the plurality of video monitoring devices 202 are stored on the third-party platform 204. The computer 206 is connected to the third party platform 204 via a network, and obtains device information of the corresponding video monitoring device 202 from the third party platform 204, where the device information includes identification information of the video monitoring device 202. The flag information of the video surveillance device 202 may be a MAC address, an IP address, or other specific flag information of the video surveillance device 202, which is pre-stored on the third party platform 204. According to the acquired mark information of the video monitoring equipment 202, which kitchen has the violation can be determined, so that the violation can be timely fed back to the corresponding supervisor. Further, since the third-party platform 204 stores the video acquired by the video monitoring device 202, historical violations of each kitchen can be traced.
It can be understood that whether a person wears a work cap, a mask, a health card or smokes is detected by using an image recognition algorithm, which belongs to the prior art and is not described herein again. The invention has the advantages that whether the violation behaviors exist in the staff in the kitchen or not is automatically identified by using an image identification algorithm, automatic monitoring is realized, and the labor cost of manual background monitoring in the prior art can be saved.
Specifically, the alarm device 208 includes a display screen, a mobile terminal, or a server. For example, when the alarm device 208 is a mobile terminal, after the mobile terminal receives an alarm instruction generated by the computer 204, the mobile terminal executes a corresponding alarm action, such as vibration, ringing, and the like, according to a set program, so as to remind a monitoring person to notice a kitchen violation in time.
If the computer 206 calculates that the staff who does not wear the work cap, the staff who does not wear the mask, the staff who does not wear the health certificate and the staff who smokes, the computer 204 sends an alarm instruction to the alarm device 208, wherein the alarm instruction is used for instructing the alarm device 208 to send out alarm information.
In an embodiment, the computer 204 compares the obtained video stream transmitted by the monitoring device with the video stream of the standard operation, and if the video stream is illegal, the step 106 is performed to send alarm information to an alarm device 208 and report the alarm information to a relevant manager, where the alarm device 208 includes an audio/video device. The kitchen violation behavior can be found immediately, and the management efficiency is improved.
In one embodiment, the alerting device 208 of step 106 comprises a display screen, a mobile terminal or a server.
To achieve the above object, the present invention provides a kitchen monitoring device, as shown in fig. 3, comprising:
an image acquisition module 302, configured to acquire an image, where the image includes kitchen staff;
an object recognition module 304, configured to determine whether a set type of object exists in the image according to a preset image recognition algorithm, where the set type of object includes: workers who do not wear working caps, workers who do not wear masks, workers who do not wear health certificates and workers who smoke;
and the alarm module 306 is configured to send an alarm instruction to the alarm device 208 when a set type of target exists in the image, where the alarm instruction is used to instruct the alarm device 208 to send out alarm information.
In one embodiment, the image acquisition module is specifically configured to:
and acquiring images based on the video stream, wherein the images are video frames in the video stream.
In one embodiment, the image acquisition module 302 is specifically configured to:
acquiring a video stream according to the video monitoring equipment 202 and acquiring an image based on the video stream, wherein the image is a video frame in the video stream;
in one embodiment, the apparatus further comprises:
the device information obtaining module 402, as shown in fig. 4, is configured to obtain device information of the video monitoring device 202, where the device information includes device information obtained through the third party platform 206, and obtain stored video information.
The invention provides a computer readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the processor realizes the kitchen monitoring method, the kitchen monitoring device and the storage medium when the processor executes the computer program.
The invention provides a kitchen monitoring method, a kitchen monitoring device and a storage medium, wherein different equipment platforms can be simultaneously accessed through a video gateway to acquire equipment information, data are analyzed through equipment video streams according to equipment snap charts, data with different dimensions are analyzed through big data to provide timely early warning information through a data display data large screen, and simultaneously, video data source parameters can be set, the parameters can designate video equipment analyzed at the same time, the pressure of a server is effectively reduced, automatic monitoring of a kitchen is realized, illegal operations such as no mask, no work cap and no health certificate are worn by kitchen personnel are reduced, and the labor cost of enterprises is saved.
The above description is only for the preferred embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can substitute or change the technical solution of the present application and the inventive concept thereof within the technical scope of the present application, and shall be covered by the scope of the present application. In addition, although specific terms are used herein, they are used in a descriptive sense only and not for purposes of limitation.
Claims (9)
1. A kitchen monitoring method, characterized in that the method comprises:
acquiring an image, wherein the image comprises kitchen staff;
determining whether a set type target exists in the image according to a preset image recognition algorithm, wherein the set type target comprises: workers who do not wear working caps, workers who do not wear masks, workers who do not wear health certificates and workers who smoke;
if yes, an alarm instruction is sent to an alarm device, and the alarm instruction is used for indicating the alarm device to send alarm information.
2. The kitchen monitoring method according to claim 1, wherein said acquiring an image comprises:
and acquiring images based on the video stream, wherein the images are video frames in the video stream.
3. The kitchen monitoring method according to claim 1, wherein said acquiring an image comprises:
acquiring a video stream according to video monitoring equipment and acquiring an image based on the video stream, wherein the image is a video frame in the video stream;
the method further comprises the following steps:
acquiring equipment information of video monitoring equipment, wherein the equipment information comprises mark information of the video monitoring equipment.
4. The kitchen monitoring method according to claim 1, wherein the alarm device comprises a display screen, a mobile terminal or a server.
5. A kitchen monitoring device, the device comprising:
the system comprises an image acquisition module, a display module and a display module, wherein the image acquisition module is used for acquiring an image, and the image comprises kitchen staff;
the target identification module is used for determining whether a set type of target exists in the image according to a preset image identification algorithm, wherein the set type of target comprises: workers who do not wear working caps, workers who do not wear masks, workers who do not wear health certificates and workers who smoke;
and the alarm module is used for sending an alarm instruction to an alarm device when a set type of target exists in the image, and the alarm instruction is used for indicating the alarm device to send out alarm information.
6. The kitchen monitoring device according to claim 5, wherein the image acquisition module is specifically configured to:
and acquiring images based on the video stream, wherein the images are video frames in the video stream.
7. The kitchen monitoring device according to claim 5, wherein the image acquisition module is specifically configured to:
acquiring a video stream according to video monitoring equipment and acquiring an image based on the video stream, wherein the image is a video frame in the video stream;
the device further comprises:
and the equipment information acquisition module is used for acquiring the equipment information of the video monitoring equipment, wherein the equipment information comprises the equipment information of the third-party platform, and the stored video information is acquired.
8. Kitchen monitoring device according to claim 5, characterized in that said alarm device comprises a display screen, a mobile terminal or a server.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, causes the processor to carry out a kitchen monitoring method as claimed in any one of claims 1 to 4.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110968539.6A CN113705413A (en) | 2021-08-23 | 2021-08-23 | Kitchen monitoring method and device and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110968539.6A CN113705413A (en) | 2021-08-23 | 2021-08-23 | Kitchen monitoring method and device and storage medium |
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| CN113705413A true CN113705413A (en) | 2021-11-26 |
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| CN202110968539.6A Pending CN113705413A (en) | 2021-08-23 | 2021-08-23 | Kitchen monitoring method and device and storage medium |
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| CN114155612A (en) * | 2022-02-10 | 2022-03-08 | 深圳爱莫科技有限公司 | Restaurant personnel non-standard behavior model training method, detection method and processing equipment |
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