CN116248830A - Wild animal identification method, terminal and system based on space-based Internet of things - Google Patents
Wild animal identification method, terminal and system based on space-based Internet of things Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/1851—Systems using a satellite or space-based relay
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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Abstract
The invention discloses a wild animal identification method, a terminal and a system based on the space-based internet of things, which belong to the technical field of artificial intelligence. The implementation effect of the image data of the wild animals from acquisition to transmission to analysis is achieved, and the monitoring of the wild animals in the monitoring area is completed. The invention can complete all-weather and all-time reporting of the wild animal information in the monitoring area and provides effective technical support for realizing the protection, research and intelligent management of the wild animal.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a wild animal identification method, a terminal and a system based on the space-based Internet of things.
Background
The existing wild animal identification system generally comprises a high-definition camera, a switch and a server, the camera shooting data is reported to the server in a local area network, 4G or optical fiber communication mode, the rear-end server analyzes video and image information with huge data volume, the cost is extremely high, and most of the analyzed data are invalid data, so that the resources of the server are wasted. In addition, wild animals generally appear in areas with unfriendly ground network support, the system cannot complete real-time reporting of data under severe communication environment, and can only manually copy and store information in a monitoring area, so that the system has the defects of time and labor waste and personnel risk and information lag.
In the prior art, a server post-mode is adopted to identify and monitor wild animal image data, as in the prior patents CN202111239920.5 and CN202110442041.6, a camera is adopted to complete data acquisition, acquired video or image information is transmitted to a background server through a ground network, and the background server invokes an image identification algorithm to complete the extraction of the wild animal information.
Therefore, a system is needed to collect, report and analyze information of wild animals in a monitoring area which is not covered by a ground network.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides a wild animal identification method, a terminal and a system based on the space-based Internet of things, which solve the problems that the ground network cannot communicate in time, and the server post-mode is large in wild animal data quantity and high in cost.
The invention discloses a wild animal identification method based on the space-based internet of things, which comprises the following steps:
step S1, monitoring and judging whether wild animals exist in a monitoring area;
s2, after the wild animals appear, acquiring image data of the wild animals;
s3, intelligently identifying the acquired image data to judge whether the image data is a wild animal or not;
step S4, if yes, entering a step S5; if not, discarding the image data which fails to be identified;
step S5, uploading the successfully identified image data to a satellite, and pushing the image data to a wild animal detection platform by the satellite through a gateway station;
and S6, after the wild animal detection platform receives the image data, classifying, storing, displaying and analyzing the image data.
As a further improvement of the present invention, in the step S6, the processing method of the image data by the wild animal detection platform specifically includes:
step S61, the wild animal detection platform receives image data of the wild animal pushed by the gateway station;
step S62, analyzing the image data;
step S63, classifying the analyzed image data according to the wild animal category;
step S63, storing and displaying the classified image data;
and S64, analyzing the wild animals according to various monitoring analysis indexes.
As a further improvement of the present invention, the analysis index includes population number, distribution range, life habit and activity law.
The invention also discloses a wild animal identification terminal based on the space-based Internet of things, which comprises a terminal processor, and an infrared sensor, a camera module, a time service module, a cloud satellite communication module and an image identification module which are connected with the terminal processor;
the terminal processor is used for controlling power supply or dormancy awakening of the infrared sensor, the camera module, the time service module, the cloud satellite communication module and the image recognition module;
the infrared sensor is used for carrying out infrared induction monitoring on wild animals in the monitoring area;
the camera module is used for collecting image data of wild animals in the monitoring area;
the time service module is used for providing time for the terminal server so that the terminal processor adds international standard time stamp data to the image data information;
the cloud satellite communication module is used for realizing satellite communication and image data transmission between the terminal processor and a satellite;
the image recognition module is provided with a wild animal recognition model and is used for intelligently recognizing the image data collected by the camera module so as to judge whether the wild animal is the wild animal or not.
As a further improvement of the invention, the terminal also comprises a storage module and a battery module which are connected with the terminal processor;
the storage module is used for storing the image data acquired by the camera module;
the battery module is used for supplying power to the infrared sensor, the camera module, the time service module, the cloud satellite communication module, the image identification module and the storage module, wherein the infrared sensor, the camera module, the time service module, the cloud satellite communication module, the image identification module and the storage module are included in the terminal processor.
As a further improvement of the invention, the time service module and the cloud satellite communication module are both provided with antennas so as to facilitate communication with the satellites.
As a further improvement of the present invention, the training process of the wild animal identification model includes:
s1, collecting massive wild animal image data;
s2, classifying and labeling the collected image data of the wild animals;
s3, generating a wild animal identification model by using the classified and marked image data through an image identification algorithm;
s4, whether the wild animal identification model is effective or not is evaluated, and if so, the effective wild animal identification model is deployed to the image identification module; if not, returning to the step S1.
As a further improvement of the invention, when the infrared sensor senses that no wild animal exists in the monitoring area, the wild animal identification terminal enters a sleep mode.
The invention also discloses a wild animal identification system based on the space-based Internet of things, which comprises a satellite, a gateway station, a wild animal monitoring platform and the wild animal identification terminal as claimed in any one of claims 4 to 7;
the wild animal identification terminals are distributed in the wild animal monitoring area and are used for collecting, storing and intelligently identifying the image data of the wild animals;
the satellite is respectively in communication connection with the gateway station and a plurality of sets of wild animal identification terminals through a communication network so as to realize the transmission of the image data;
the wild animal monitoring platform is in communication connection with the gateway station so as to receive the image data sent by the satellite and classify, store, display and analyze the image data.
As a further improvement of the invention, the communication network is the cloud-going low-orbit narrow-band satellite Internet of things.
Compared with the prior art, the invention has the beneficial effects that:
the method can be applied to the areas with severe ground network or without ground network facilities, is not limited by the ground network, can be used in any global area, can realize all-weather and full-time reporting of wild animal information in a monitoring area by adopting the cloud-going low-orbit narrow-band satellite Internet of things for data transmission, and provides effective technical support for realizing wild animal protection, research and intelligent management;
the wild animal identification terminal is arranged, so that the problem of wild animal identification in a monitoring area is solved, meanwhile, the wild animal in the monitoring area is monitored by the infrared sensor, and when the infrared sensor senses that no wild animal exists in the monitoring area, the wild animal identification terminal enters a sleep mode, so that the wild animal identification terminal has an autonomous low-power consumption mode, low power consumption and long service life;
the invention can be transplanted to other image recognition application fields for use, such as transmission of data packets of landslide monitoring, river and lake monitoring and the like.
Drawings
FIG. 1 is a flow chart of a wild animal identification method based on the space-based Internet of things, disclosed by the invention;
fig. 2 is a flowchart of processing image data of a wild animal monitoring platform based on a wild animal identification method of the space-based internet of things;
fig. 3 is a schematic structural diagram of a wild animal identification terminal based on the space-based internet of things, which is disclosed by the invention;
fig. 4 is a training flow chart of a wild animal identification model of a wild animal identification terminal based on the space-based internet of things, disclosed by the invention;
fig. 5 is a system composition diagram of a wild animal identification system based on the space-based internet of things.
In the figure:
1. a wild animal identification terminal; 11. a terminal processor; 12. an infrared sensor; 13. a camera module; 14. a time service module; 15. a cloud satellite communication module; 16. a storage module; 17. an image recognition module; 18, battery modules; 19. an antenna;
2. a satellite;
3. a gateway station;
4. a firewall; 5. measuring and controlling a data center;
6. wild animal monitoring platform.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should also be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
The invention is described in further detail below with reference to the attached drawing figures:
as shown in fig. 1, the invention discloses a wild animal identification method based on the space-based internet of things, which comprises the following steps:
step S1, monitoring and judging whether wild animals exist in a monitoring area;
s2, after the wild animals appear, acquiring image data of the wild animals;
s3, intelligently identifying the acquired image data to judge whether the image data is a wild animal or not;
step S4, if yes, entering a step S5; if not, discarding the image data failing to be identified;
step S5, uploading the image data successfully identified to the satellite 2, and pushing the image data to a wild animal detection platform 6 by the satellite 2 through the gateway station 3;
and S6, after the wild animal detection platform 6 receives the image data, classifying, storing, displaying and analyzing the image data.
In step S6, the method for processing image data by the wild animal detection platform 6 specifically includes:
further, as shown in fig. 2, in step S61, the wild animal detecting platform 6 receives image data of the wild animal pushed by the gateway station;
step S62, analyzing the image data;
step S63, classifying the analyzed image data according to the wild animal category;
step S63, storing the classified image data, and displaying the wild animal data information in a platform interface;
and S64, analyzing the wild animals according to various monitoring analysis indexes.
Further, the analysis indexes in the invention comprise population quantity, distribution range, life habit and activity rule.
As shown in fig. 3, the invention discloses a wild animal identification terminal based on the space-based internet of things, which comprises a terminal processor 11, and an infrared sensor 12, a camera module 13, a time service module 14, a cloud satellite communication module 15 and an image identification module 17 which are connected with the terminal processor 11.
Further, the terminal processor 11 in the present invention is configured to control power supply or sleep wake-up of the infrared sensor 12, the camera module 13, the time service module 14, the cloud satellite communication module 15 and the image recognition module 17; an infrared sensor 12 for infrared sensing monitoring of wild animals in the monitored area; a camera module 13 for collecting image data of wild animals present in the monitored area; a time service module 14, configured to provide time for the terminal server 11, so that the terminal processor 11 adds international standard timestamp data to the image data information; the cloud satellite communication module 15 is used for realizing communication and image data transmission between the terminal processor 11 and the satellite 2; the image recognition module 17 is configured with a wild animal recognition model, and is configured to intelligently recognize the image data collected by the camera module 13, so as to determine whether the wild animal is a wild animal.
Further, the wild animal identification terminal 1 of the present invention further comprises a memory module 16 and a battery module 18 connected to the terminal processor 11; the storage module 16 is used for storing the image data acquired by the camera module 13; the battery module 18 is used for supplying power to the infrared sensor 12, the camera module 13, the time service module 14, the cloud satellite communication module 15, the image identification module 17 and the storage module 16, including the terminal processor 11.
Furthermore, the time service module 14 and the cloud satellite communication module 15 in the present invention are both provided with an antenna 19 to facilitate communication with the satellite 2.
Specifically, the terminal processor 11 communicates with the infrared sensor 12 through the RS-485 interface, the camera module 13 is started to collect image data of wild animals according to signals of the infrared sensor 12, and the camera module 13 communicates with the terminal processor 11 through the USB interface. The image recognition module 17 performs content recognition on the photograph taken by the camera module 13, and communicates with the terminal processor 11 through a USB interface. The time service module 14 and the cloud satellite communication module 15 are both in communication with the terminal processor 11 through a UART interface, wherein the terminal processor 11 obtains the time provided by the time service module 14, and is used for adding international standard timestamp data to the image data information, so that the later wild animal monitoring platform 6 is convenient to process, and the cloud satellite communication module 15 is used for sending the image data of the identified wild animal to the satellite 2. The terminal processor 11 controls the power supply or dormancy wakeup of each module, and realizes a low-power-consumption working mode. The memory module communicates with the terminal processor 11 via an SDIO interface.
Further, the memory size of the memory module 16 of the present invention can be expanded to meet different memory requirements
As shown in fig. 4, the training process of the wild animal identification model in the present invention includes:
s1, collecting massive wild animal image data;
the method specifically comprises the following steps: and collecting massive wild animal image data from various animal image libraries or websites to serve as a data source for classification annotation.
S2, classifying and labeling the collected image data of the wild animals;
s3, generating a wild animal identification model by using the classified and marked image data through an image identification algorithm;
s4, whether the wild animal identification model is effective or not is evaluated, and if so, the effective wild animal identification model is deployed to the image identification module 17; if not, returning to the step S1.
Further, since the occurrence period of the wild animal in the monitored area occupies a small part of the whole day period, the load of the camera module 13 and the image processing module mounted on the wild animal identification terminal 1 is large, and the wild animal identification terminal 1 always operates, resulting in large power consumption. When the infrared sensor 12 senses the wild animal, the terminal processor 11 issues a command to enable the camera module 13 to take pictures; the image recognition module 17 processes the illumination. When the infrared sensor 12 senses that the wild animal is not sensed, the terminal processor 11 sleeps each module, the whole machine enters a low power consumption state, and the power consumption of the battery module 18 of the wild animal identification terminal 1 can be reduced, so that the effective working time of the wild animal identification terminal 1 can be increased under a more complicated field power supply environment.
As shown in fig. 5, the invention also discloses a wild animal identification system based on the space-based internet of things, which comprises a satellite 2, a gateway station 3, a wild animal monitoring platform 6 and the wild animal identification terminal 1; the wild animal identification terminals 1 are distributed in the wild animal monitoring area and are used for collecting, storing and intelligently identifying the image data of the wild animals; the satellite 2 is respectively in communication connection with the gateway station 3 and the plurality of sets of wild animal identification terminals 1 through a communication network so as to realize the transmission of image data; the wild animal monitoring platform 6 is in communication with the gateway station 3 to receive the image data transmitted by the satellite 2, and to sort, store, display and analyze the image data.
Furthermore, the wild animal identification system further comprises a firewall 4 and a testing and operation control data center 5, wherein the image data collected by the plurality of sets of wild animal identification terminals 1 are transmitted to the satellite 2 through a communication network, the satellite 2 receives the image data and then transmits the cloud satellite data to the testing and operation control data center through the firewall 4 after passing through the gateway station 3, and the testing and operation control data center transmits the cloud satellite data to the wild animal detection platform 6;
further, the communication network used by the wild animal identification terminal 1 in the invention for transmitting the image data of the wild animal is the cloud satellite sky-based internet of things, in particular to the cloud low-orbit narrow-band satellite internet of things.
The invention has the advantages that:
the method can be applied to the areas with severe ground network or without ground network facilities, is not limited by the ground network, can be used in any global area, can realize all-weather and full-time reporting of wild animal information in a monitoring area by adopting the cloud-going low-orbit narrow-band satellite Internet of things for data transmission, and provides effective technical support for realizing wild animal protection, research and intelligent management;
the wild animal identification terminal 1 is arranged, so that the problem of wild animal identification in a monitoring area is solved, meanwhile, the wild animal in the monitoring area is monitored by utilizing the infrared sensor 12, and when the infrared sensor 12 senses that no wild animal exists in the monitoring area, the wild animal identification terminal 1 enters a sleep mode, so that the wild animal identification terminal 1 has an autonomous low-power consumption mode, low power consumption and long service life.
The invention can be transplanted to other image recognition application fields for use, such as transmission of data packets of landslide monitoring, river and lake monitoring and the like.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The wild animal identification method based on the space-based Internet of things is characterized by comprising the following steps of:
step S1, monitoring and judging whether wild animals exist in a monitoring area;
s2, after the wild animals appear, acquiring image data of the wild animals;
s3, intelligently identifying the acquired image data to judge whether the image data is a wild animal or not;
step S4, if yes, entering a step S5; if not, discarding the image data which fails to be identified;
step S5, uploading the successfully identified image data to a satellite, and pushing the image data to a wild animal detection platform by the satellite through a gateway station;
and S6, after the wild animal detection platform receives the image data, classifying, storing, displaying and analyzing the image data.
2. The method for identifying wild animals based on the space-based internet of things according to claim 1, wherein in the step S6, the method for processing the image data by the wild animal detection platform specifically comprises:
step S61, the wild animal detection platform receives image data of the wild animal pushed by the gateway station;
step S62, analyzing the image data;
step S63, classifying the analyzed image data according to the wild animal category;
step S63, storing and displaying the classified image data;
and S64, analyzing the wild animals according to various monitoring analysis indexes.
3. The method for identifying wild animals based on the space-based internet of things according to claim 2, wherein the analysis indexes comprise population quantity, distribution range, life habit and activity law.
4. The wild animal identification terminal based on the space-based Internet of things is characterized by comprising a terminal processor, and an infrared sensor, a camera module, a time service module, a cloud satellite communication module and an image identification module which are connected with the terminal processor;
the terminal processor is used for controlling the power supply or dormancy awakening of the infrared sensor, the camera module, the time service module, the cloud satellite communication module and the image recognition module;
the infrared sensor is used for carrying out infrared induction monitoring on wild animals in the monitoring area;
the camera module is used for collecting image data of wild animals in the monitoring area;
the time service module is used for providing time for the terminal server so that the terminal processor adds international standard time stamp data to the image data information;
the cloud satellite communication module is used for realizing satellite communication and image data transmission between the terminal processor and a satellite;
the image recognition module is provided with a wild animal recognition model and is used for intelligently recognizing the image data collected by the camera module so as to judge whether the wild animal is the wild animal or not.
5. The wild animal identification terminal of claim 4, further comprising a memory module and a battery module coupled to the terminal processor;
the storage module is used for storing the image data acquired by the camera module;
the battery module is used for supplying power to the infrared sensor, the camera module, the time service module, the cloud satellite communication module, the image identification module and the storage module, wherein the infrared sensor, the camera module, the time service module, the cloud satellite communication module, the image identification module and the storage module are included in the terminal processor.
6. The wild animal identification terminal of claim 4, wherein the timing module and the cloud satellite communication module are each provided with an antenna to facilitate communication with the satellite.
7. The wild animal identification terminal of claim 4, wherein the training process of the wild animal identification model comprises:
s1, collecting massive wild animal image data;
s2, classifying and labeling the collected image data of the wild animals;
s3, generating a wild animal identification model by using the classified and marked image data through an image identification algorithm;
s4, whether the wild animal identification model is effective or not is evaluated, and if so, the effective wild animal identification model is deployed to the image identification module; if not, returning to the step S1.
8. The wild animal identification terminal of claim 4, wherein the wild animal identification terminal enters a sleep mode when the infrared sensor senses that there is no wild animal in the monitored area.
9. A wild animal identification system based on the space-based internet of things, which is characterized by comprising a satellite, a gateway station, a wild animal monitoring platform and the wild animal identification terminal of any one of claims 4-7;
the wild animal identification terminals are distributed in the wild animal monitoring area and are used for collecting, storing and intelligently identifying the image data of the wild animals;
the satellite is respectively in communication connection with the gateway station and a plurality of sets of wild animal identification terminals through a communication network so as to realize the transmission of the image data;
the wild animal monitoring platform is in communication connection with the gateway station so as to receive the image data sent by the satellite and classify, store, display and analyze the image data.
10. The wild animal identification system of claim 9, wherein the communications network is a cloud low-orbit narrowband satellite internet of things.
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Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101799876A (en) * | 2010-04-20 | 2010-08-11 | 王巍 | Video/audio intelligent analysis management control system |
| CN101835034A (en) * | 2010-05-27 | 2010-09-15 | 王巍 | Crowd characteristic counting system |
| CN103546728A (en) * | 2013-11-14 | 2014-01-29 | 北京林业大学 | Wild animal field monitoring device |
| CN107071344A (en) * | 2017-01-22 | 2017-08-18 | 深圳英飞拓科技股份有限公司 | A kind of large-scale distributed monitor video data processing method and device |
| CN108062349A (en) * | 2017-10-31 | 2018-05-22 | 深圳大学 | Video frequency monitoring method and system based on video structural data and deep learning |
| CN108739490A (en) * | 2018-06-14 | 2018-11-06 | 北京国电高科科技有限公司 | A kind of wild animal tracking and monitoring system and method |
| CN109510972A (en) * | 2019-01-08 | 2019-03-22 | 中南林业科技大学 | A kind of wild animal intelligent surveillance method based on Internet of Things |
| KR20190033892A (en) * | 2017-09-22 | 2019-04-01 | 국립생태원 | System and method for monitoring wild animals |
| CN110139067A (en) * | 2019-03-28 | 2019-08-16 | 北京林业大学 | A kind of wild animal monitoring data management information system |
| CN110351536A (en) * | 2019-08-20 | 2019-10-18 | 深圳江行联加智能科技有限公司 | A kind of substation abnormality detection system, method and device |
| CN110971826A (en) * | 2019-12-06 | 2020-04-07 | 长沙千视通智能科技有限公司 | Video front-end monitoring device and method |
| KR20200066902A (en) * | 2018-12-03 | 2020-06-11 | 김선명 | Wildlife tracking system and its operation method |
| CN112615984A (en) * | 2020-12-11 | 2021-04-06 | 北京林业大学 | Integrated automatic wild animal image acquisition device and method |
| CN213152184U (en) * | 2020-10-27 | 2021-05-07 | 东莞市南星电子有限公司 | Animal identification type field monitoring system based on convolutional neural network |
| CN214799484U (en) * | 2021-06-22 | 2021-11-19 | 西安电子科技大学 | Satellite communication equipment for wild animal monitoring |
-
2022
- 2022-12-17 CN CN202211628543.9A patent/CN116248830A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101799876A (en) * | 2010-04-20 | 2010-08-11 | 王巍 | Video/audio intelligent analysis management control system |
| CN101835034A (en) * | 2010-05-27 | 2010-09-15 | 王巍 | Crowd characteristic counting system |
| CN103546728A (en) * | 2013-11-14 | 2014-01-29 | 北京林业大学 | Wild animal field monitoring device |
| CN107071344A (en) * | 2017-01-22 | 2017-08-18 | 深圳英飞拓科技股份有限公司 | A kind of large-scale distributed monitor video data processing method and device |
| KR20190033892A (en) * | 2017-09-22 | 2019-04-01 | 국립생태원 | System and method for monitoring wild animals |
| CN108062349A (en) * | 2017-10-31 | 2018-05-22 | 深圳大学 | Video frequency monitoring method and system based on video structural data and deep learning |
| CN108739490A (en) * | 2018-06-14 | 2018-11-06 | 北京国电高科科技有限公司 | A kind of wild animal tracking and monitoring system and method |
| KR20200066902A (en) * | 2018-12-03 | 2020-06-11 | 김선명 | Wildlife tracking system and its operation method |
| CN109510972A (en) * | 2019-01-08 | 2019-03-22 | 中南林业科技大学 | A kind of wild animal intelligent surveillance method based on Internet of Things |
| CN110139067A (en) * | 2019-03-28 | 2019-08-16 | 北京林业大学 | A kind of wild animal monitoring data management information system |
| CN110351536A (en) * | 2019-08-20 | 2019-10-18 | 深圳江行联加智能科技有限公司 | A kind of substation abnormality detection system, method and device |
| CN110971826A (en) * | 2019-12-06 | 2020-04-07 | 长沙千视通智能科技有限公司 | Video front-end monitoring device and method |
| CN213152184U (en) * | 2020-10-27 | 2021-05-07 | 东莞市南星电子有限公司 | Animal identification type field monitoring system based on convolutional neural network |
| CN112615984A (en) * | 2020-12-11 | 2021-04-06 | 北京林业大学 | Integrated automatic wild animal image acquisition device and method |
| CN214799484U (en) * | 2021-06-22 | 2021-11-19 | 西安电子科技大学 | Satellite communication equipment for wild animal monitoring |
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