CN115424197A - Method and device for monitoring escape of experimental animal - Google Patents
Method and device for monitoring escape of experimental animal Download PDFInfo
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Abstract
The application discloses a method for monitoring escape of an experimental animal, relates to the field of biological laboratory management, and particularly relates to a method and a device for monitoring escape of an experimental animal; which comprises the following steps: collecting a monitoring video of a laboratory; identifying each cage position in the monitoring video; analyzing the key points of the bones through a bone identification model, and identifying animals in the monitoring video; determining the position of an animal, judging whether the animal is in the cage position, if not, marking the animal as an escape animal, and generating first alarm information; analyzing the motion trail of the escaping animal through the behavior trail model, judging whether the escaping animal leaves the laboratory, and if so, generating second alarm information; the system can distinguish experimenters from escaping animals, and when the escaping animals are confirmed, the system sends an alarm to the terminal server, and carries out behavior track monitoring on the current escaping animals, so that the experimenters can quickly confirm the final position of the escaping animals.
Description
Technical Field
The application relates to the field of biological laboratory management, in particular to a method and a device for monitoring escape of laboratory animals.
Background
The animal laboratory is also called experimental animal room, which refers to a building suitable for raising and breeding experimental animals. Such buildings should have specific environmental requirements and experimental means to ensure animal quality and accurate reliability of experimental studies. According to the control degree of the microorganism, the method can be divided into: open systems, barrier systems, and isolation systems.
The laboratory animal room generally comprises a feeding room, a health observation room, an isolation quarantine room, various laboratories and the like, and whether the feeding room, the health observation room, the isolation quarantine room and the like exist, animals need to be monitored, and particularly, people or environment hazards caused by escape of the animals need to be prevented.
Disclosure of Invention
The invention aims to avoid the defects in the prior art and provide a monitoring system capable of preventing animals from escaping.
The purpose of the invention is realized by the following technical scheme:
according to one aspect of the disclosure, a method for monitoring escape of an experimental animal is provided, which comprises the following steps:
s1: collecting monitoring videos of a laboratory;
s2: identifying each cage position in the monitoring video;
s3: analyzing the key points of the bones through a bone identification model, and identifying animals in the monitoring video;
s4: determining the position of an animal, judging whether the animal is in the cage position, if not, marking the animal as an escape animal, and generating first alarm information;
s5: and analyzing the motion trail of the escaping animal through the behavior trail model, judging whether the escaping animal leaves the laboratory, and if so, generating second alarm information.
Specifically, step S3 includes the following steps:
s31: identifying a moving object in the video image;
s32: and (5) analyzing the key points of the bones through the bone recognition model, judging the moving object, and if the moving object is judged to be an animal, entering the step S4.
More specifically, step S32 further includes the steps of: the class of the animal is determined.
As above, step S5 further includes the steps of: and if the escaping animal leaves the laboratory, determining the escaping position of the escaping animal when the escaping animal leaves the laboratory.
Further, the method also comprises the following steps:
s6: acquiring a corresponding external monitoring video according to the escape position;
s7: carrying out bone key point analysis on the external monitoring video through a bone identification model, and identifying animals in the external monitoring video;
s8: and analyzing the motion track of the escaping animal through the behavior track model, and identifying the escaping track of the escaping animal.
According to another aspect of the present disclosure, there is provided a laboratory animal escape monitoring apparatus, comprising: the system comprises an acquisition module, a cage position identification module, an animal identification module, a track identification module and an alarm module; the acquisition module is used for acquiring a monitoring video of the monitoring camera; the cage position identification module is used for identifying each cage position in the monitoring video; a skeleton recognition model is arranged in the animal recognition module and used for carrying out skeleton key point analysis through the skeleton recognition model and recognizing animals in the monitoring video; the track recognition module is used for calculating an escape track of the escape animal by adopting skeleton key points according to the recognized animal and an AI (artificial intelligence) visual neural network analysis algorithm; the alarm module is used for generating alarm information; the alarm information comprises first alarm information and second alarm information; and the second alarm information comprises escape track information of the escaping animals.
According to another aspect of the present disclosure, there is provided a laboratory animal escape monitoring system, comprising: the system comprises a terminal server and a plurality of monitoring cameras; the terminal server is respectively and independently connected with each monitoring camera; the terminal server comprises the experimental animal escape monitoring device.
Specifically, the system also comprises a monitoring end; the terminal server also comprises a communication module; the monitoring end is connected with the communication module to acquire the alarm information generated by the alarm module.
According to yet another aspect of the present disclosure, there is provided a computer device comprising a memory, a processor and computer instructions stored on the memory and executable on the processor, wherein the processor executes the instructions to implement the steps of the above method for monitoring the escape of a laboratory animal.
According to another aspect of the present disclosure, there is provided a computer readable storage medium storing computer instructions which, when executed by a processor, implement the steps of the above laboratory animal escape monitoring method.
The invention has the beneficial effects that: an experimental animal escape monitoring method comprises the following steps: collecting monitoring videos of a laboratory; identifying each cage position in the monitoring video; carrying out bone key point analysis through a bone identification model to identify animals in the monitoring video; determining the position of an animal, judging whether the animal is in the cage position, if not, marking the animal as an escape animal, and generating first alarm information; analyzing the motion trail of the escaping animal through the behavior trail model, judging whether the escaping animal leaves the laboratory or not, and if so, generating second alarm information; the system can distinguish experimenters and escaping animals, when the animals are confirmed to escape, the system sends an alarm to the terminal server, and carries out behavior track monitoring on the current escaping animals, so that the experimenters can quickly confirm the final position of the escaping animals.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for monitoring the escape of an experimental animal according to a first embodiment of the disclosure;
FIG. 2 is a schematic diagram of program modules of an experimental animal escape monitoring device according to a first embodiment of the disclosure;
fig. 3 is a block diagram of a system for monitoring the escape of an experimental animal according to a first embodiment of the disclosure.
Detailed Description
While specific embodiments of the invention will be described below, it should be noted that in the course of the detailed description of these embodiments, in order to provide a concise and concise description, all features of an actual implementation may not be described in detail. It should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions are often made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Unless otherwise defined, technical or scientific terms used in the claims and the specification should have the ordinary meaning as understood by those of ordinary skill in the art to which the invention belongs. The use of "first," "second," and similar terms in the description and claims of the present application do not denote any order, quantity, or importance, but rather the terms are used to distinguish one element from another. The terms "a" or "an," and the like, do not denote a limitation of quantity, but rather denote the presence of at least one. The word "comprise" or "comprises", and the like, means that the element or item listed before "comprises" or "comprising" covers the element or item listed after "comprising" or "comprises" and its equivalent, and does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, nor are they restricted to direct or indirect connections.
Example 1
According to one aspect of the disclosure, a method for monitoring the escape of an experimental animal is provided, as shown in fig. 1, including the following steps:
s1: collecting monitoring videos in each laboratory;
s2: respectively identifying each cage position in the monitoring video;
s3: carrying out bone key point analysis through a bone identification model to identify animals in the monitoring video;
specifically, step S3 includes the following steps:
s31: identifying a moving object in the video image;
s32: analyzing skeleton key points through a skeleton recognition model, judging a moving object, if the moving object is judged to be an animal, determining the category of the animal by further comparing the moving object with skeleton key point models of different types of animals preset in the model, and entering a step S4; if the moving object is identified as an experimenter, automatically filtering;
s4: determining the position of an animal, judging whether the animal is in a cage position, if not, marking the animal as an escape animal, generating first alarm information, sending the first alarm information to a monitoring end, and prompting an experimenter that the escape animal exists in a laboratory; the first alarm information comprises room number information of a laboratory and animal category information of escaping animals;
s5: analyzing the motion trail of the escaping animal through the behavior trail model, judging whether the escaping animal leaves the laboratory, if so, determining the escaping position of the escaping animal when the escaping animal leaves the laboratory, generating second alarm information, sending the second alarm information to the monitoring end, and prompting the experimenter that the escaping animal escapes the laboratory; the second alarm information comprises room number information of a laboratory, animal category information of escaping animals and escaping position information.
Further, the method also comprises the following steps:
s6: acquiring a corresponding external monitoring video (namely a monitoring video outside a laboratory) according to the escape position;
s7: carrying out bone key point analysis on the external monitoring video through a bone identification model to identify animals in the external monitoring video;
s8: the motion track of the escaping animal is analyzed through the behavior track model, the escaping track of the escaping animal is identified, the information of the escaping track is sent to the monitoring end in real time, the behavior track of the escaping animal is monitored, and experimenters can quickly confirm the final position of the escaping animal.
The skeleton recognition model and the behavior track model are mainly based on the recognition of skeleton key points of animals, an AI visual neural network analysis algorithm is adopted, the skeleton key points of the animals are recognized by taking joints as animal motion nodes according to the skeleton framework of the animals, and then the motion tracks of the animals are defined through the analysis and operation of big data.
The AI recognition technology has the characteristics of high reaction efficiency, high operation speed and the like in the application characteristics, and can solve the problems, improve or create the problems and fulfill the aims of theoretical deduction or theoretical research through self-learning.
According to another aspect of the present disclosure, there is provided a laboratory animal escape monitoring apparatus, comprising: the system comprises an acquisition module, a cage position identification module, an animal identification module, a track identification module and an alarm module;
the acquisition module is used for acquiring a monitoring video of the monitoring camera;
the cage position identification module is used for identifying each cage position in the monitoring video;
a skeleton recognition model is arranged in the animal recognition module and used for carrying out skeleton key point analysis through the skeleton recognition model and recognizing animals in the monitoring video;
the track recognition module is used for calculating an escape track of the escape animal by adopting skeleton key points according to the recognized animal and an AI (artificial intelligence) visual neural network analysis algorithm;
the alarm module is used for generating alarm information; the alarm information comprises first alarm information and second alarm information.
According to another aspect of the present disclosure, there is provided a laboratory animal escape monitoring system, comprising: the system comprises a terminal server and a plurality of monitoring cameras; the terminal server is respectively and independently connected with each monitoring camera; the terminal server comprises the experimental animal escape monitoring device. Wherein, surveillance camera head is including setting up the surveillance camera head in the laboratory and setting up the surveillance camera head outside the laboratory.
Specifically, the system also comprises a monitoring end; the terminal server also comprises a communication module; the monitoring terminal is connected with the communication module to acquire the alarm information generated by the alarm module.
The embodiment also provides a computer device, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a rack server, a blade server, a tower server or a rack server (including an independent server or a server cluster composed of a plurality of servers) capable of executing programs, and the like. The computer device of the embodiment at least includes but is not limited to: a memory, a processor, communicatively coupled to each other via a system bus, as shown in fig. 3. It should be noted that fig. 3 only shows a computer device with components, but it should be understood that not all of the shown components are required to be implemented, and more or fewer components may be implemented instead.
In this embodiment, the memory (i.e., the readable storage medium) includes a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. In some embodiments, the memory may be an internal storage unit of the computer device, such as a hard disk or a memory of the computer device. In other embodiments, the memory may be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, provided on the computer device. Of course, the memory may also include both internal and external storage devices for the computer device. In this embodiment, the memory is generally used to store an operating system and various types of application software installed on a computer device, for example, a program code of the experimental animal escape monitoring apparatus in the first embodiment, and the like. In addition, the memory may also be used to temporarily store various types of data that have been output or are to be output.
The processor may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor is typically used to control the overall operation of the computer device. In this embodiment, the processor is configured to run the program code stored in the memory or process data, for example, run an experimental animal escape monitoring apparatus, so as to implement the experimental animal escape monitoring method according to the first embodiment.
The present embodiment also provides a computer-readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application store, etc., on which a computer program is stored, which when executed by a processor implements corresponding functions. The computer-readable storage medium of this embodiment is used to store a laboratory animal escape monitoring apparatus, and when being executed by a processor, the computer-readable storage medium implements the laboratory animal escape monitoring method of the first embodiment.
In summary, according to an exemplary embodiment, animals in surveillance videos are identified by performing skeletal key point analysis through a skeletal identification model; determining the position of an animal, judging whether the animal is in the cage position, if not, marking the animal as an escape animal, and generating first alarm information; analyzing the motion trail of the escaping animal through the behavior trail model, judging whether the escaping animal leaves the laboratory, and if so, generating second alarm information; the system can distinguish experimenters and escaping animals, when the animals are confirmed to escape, the system sends an alarm to the terminal server, and carries out behavior track monitoring on the current escaping animals, so that the experimenters can quickly confirm the final position of the escaping animals.
The above-mentioned serial numbers of the embodiments of the present invention are only for description, and do not represent the advantages and disadvantages of the embodiments.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It will be understood by those skilled in the art that all or part of the steps carried out in the method of implementing the above embodiments may be implemented by hardware related instructions of a program, which may be stored in a computer readable medium, and the program, when executed, includes one or a combination of the steps of the method embodiments.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example" or "some examples" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An experimental animal escape monitoring method is characterized by comprising the following steps:
s1: collecting monitoring videos of a laboratory;
s2: identifying each cage position in the surveillance video;
s3: carrying out bone key point analysis through a bone identification model to identify animals in the monitoring video;
s4: determining the position of the animal, judging whether the animal is in the cage position, if not, marking the animal as an escape animal, and generating first alarm information;
s5: and analyzing the motion trail of the escaping animal through a behavior trail model, judging whether the escaping animal leaves the laboratory, and if so, generating second alarm information.
2. The method for monitoring the escape of laboratory animals according to claim 1, wherein:
the step S3 includes the steps of:
s31: identifying a moving object in the video image;
s32: and analyzing key points of bones through a bone identification model, judging the moving object, and if the moving object is judged to be an animal, entering the step S4.
3. The method for monitoring the escape of laboratory animals according to claim 2, wherein:
the step S32 further includes the steps of: determining the class of the animal.
4. A laboratory animal escape monitoring method according to any one of claims 1 to 3,
the step S5 further includes the steps of: if the escaping animal leaves the laboratory, the escaping position of the escaping animal when the escaping animal leaves the laboratory is determined.
5. The method for monitoring escape of laboratory animals according to claim 4, wherein:
further comprising the steps of:
s6: acquiring a corresponding external monitoring video according to the escape position;
s7: carrying out bone key point analysis on the external monitoring video through a bone identification model to identify animals in the external monitoring video;
s8: and analyzing the motion track of the escaping animal through a behavior track model, and identifying the escaping track of the escaping animal.
6. A laboratory animal escape monitoring apparatus using a laboratory animal escape monitoring method according to any one of claims 1 to 5, comprising: the system comprises an acquisition module, a cage position identification module, an animal identification module, a track identification module and an alarm module;
the acquisition module is used for acquiring a monitoring video of the monitoring camera;
the cage position identification module is used for identifying each cage position in the monitoring video;
a bone recognition model is built in the animal recognition module and used for carrying out bone key point analysis through the bone recognition model and recognizing the animal in the monitoring video;
the track recognition module is used for calculating the escape track of the escape animal by adopting skeleton key points according to the recognized animal and an AI (artificial intelligence) visual neural network analysis algorithm;
the alarm module is used for generating alarm information; the alarm information comprises the first alarm information and the second alarm information; wherein the second alarm information comprises escape track information of the escape animal.
7. An experimental animal escape monitoring system, comprising: the system comprises a terminal server and a plurality of monitoring cameras; the terminal server is respectively and independently connected with each monitoring camera; the terminal server comprises the experimental animal escape monitoring device of claim 6.
8. An experimental animal escape monitoring system according to claim 7, characterized in that:
the system also comprises a monitoring end; the terminal server also comprises a communication module;
the monitoring end is connected with the communication module to acquire the alarm information generated by the alarm module.
9. A computer device comprising a memory, a processor and computer instructions stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of claims 1 to 5 when executing the instructions.
10. A computer-readable storage medium storing computer instructions, which when executed by a processor, implement the steps of the method of any one of claims 1 to 5.
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| CN118168662A (en) * | 2024-05-13 | 2024-06-11 | 中国刑事警察学院 | Trail monitoring method and system for wild animal protection area |
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| CN118168662A (en) * | 2024-05-13 | 2024-06-11 | 中国刑事警察学院 | Trail monitoring method and system for wild animal protection area |
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