CN214335747U - Artificial intelligence image data acquisition system of insect pest control facility - Google Patents
Artificial intelligence image data acquisition system of insect pest control facility Download PDFInfo
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- CN214335747U CN214335747U CN202120513171.XU CN202120513171U CN214335747U CN 214335747 U CN214335747 U CN 214335747U CN 202120513171 U CN202120513171 U CN 202120513171U CN 214335747 U CN214335747 U CN 214335747U
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Abstract
The utility model relates to a pest control facility artificial intelligence image data acquisition system belongs to the artificial intelligence field. The system comprises at least one deinsectization device, an image shooting device and a terminal processing device, wherein sticky paper is arranged in the deinsectization device and used for adhering insects, the image shooting device is used for shooting the insects on the sticky paper and numbering every shot sticky paper image in sequence, a WIFI module is arranged in the image shooting device, the image shooting device transmits the image to the terminal processing device through the WIFI module, and the terminal processing device is used for comparing the transmitted influence; the terminal processing device comprises a memory module and a system processing module. The original manual data information acquisition mode is changed, the PCO working time is saved, the service efficiency is improved, and the accuracy of insect pest monitoring and the specialty of identification and classification are improved.
Description
Technical Field
The utility model relates to a pest control facility artificial intelligence image data acquisition system belongs to the artificial intelligence field.
Background
With the progress of society, people pay high attention to the safety of foods and medicines, but in the manufacturing and packaging processes of foods and medicines, harmful organisms such as cockroaches, mice, mosquitoes, flies, greening insects and the like inevitably cause pollution risks, so that the safety of the foods and the medicines is seriously harmed, particularly, insect organisms are easy to breed, and the potential greater pollution is possibly caused. Therefore, higher requirements are put on the pest control service industry, and the pest control service changes are as follows:
the original mode of wide-range application of chemical pesticides completely depending on the polluted environment in a service site is changed into a mode of capturing and controlling harmful organisms by using a large amount of environment-friendly and harmless physical methods, for example, the purpose of controlling insect pests while ensuring environmental protection and safety is achieved by applying various insect killing lamps, physical insect killers and the like.
Secondly, in order to achieve a good pest control effect and prevent the product from being polluted by pests, the quantity of the pests captured on the various physical pest killers is required to be monitored, the types of the pests and the number of the pests of each type are counted and recorded by naked eyes, and finally, a quantity trend analysis report is formed.
The above records of pest number monitoring, recording and species discrimination classification and data analysis have the following importance:
1. the pest control service effect can be scientifically evaluated through the change analysis of pest quantity data captured by pest control equipment distributed at each position by each service (usually compared with the quantity of the last pest control service, the quantity of the same year and the same period), and meanwhile, whether a property structure, a sanitary condition, personnel habits and the like favorable for pest breeding activities exist in a pest control site or not can be judged through the abnormal change of the data, and finally, corresponding deviation rectifying measures are taken according to the judgment. It is also common to refer to historical data of the past year, establish an "alert threshold" for each pest control device, and when the recorded data exceeds the "alert threshold", it is necessary to find the reason for the excess and take corresponding action.
2. The pest captured by the pest control equipment distributed at each position is distinguished by type through each service, and the data analysis is recorded in a classified manner, so that the reason for triggering can be rapidly found out according to the biological habits (such as breeding places, conditions, activity rules and the like) of different types of insects, and corresponding control measures are taken.
In addition to the above service requirements of the customers using pest control services, industry audit standards of food, medicine, packaging and the like such as HACCP, GMP, AIB, BRC and FDA also define that: the quantity and classification data of the pests captured by the pest control device are required to be clearly recorded, accurately described and accurately recorded, and an analysis report is formed. The requirements of insect control equipment for capturing insect pest records and identifying and classifying have become one of the universal and necessary service standards of the whole insect control service industry at home and abroad.
All in all are based on data, and speaking with data has been a trend in the field of pest control. However, due to the pest control of all current pest control service field facilities (such as sticking type flying pest killing lamps and sticking boards), data recording work is completed by PCO (personal computer-controlled insect pest control) operators. The following obvious disadvantages are often caused in the practical operation process:
1. the service efficiency is low: as the insect killing device, such as a deinsectization lamp, the pest sticking paper (usually the pest sticking paper is 1/2A 4 paper in size) can capture more flying insects, wherein the smallest flying insects such as flea flies are only 3-4 mm, PCO can visually see a small black spot, and the larger houseflies are only 5-8 mm. Generally, 20-30 flying insects are captured on the paper stuck in an unclean area, and 50-100 flying insects can be captured on equipment close to an outdoor area. In the pest control service, the PCO is required to count by naked eyes to accurately record the total number of various winged insects, a large amount of time is consumed, and the service efficiency is very low.
2. Insect pest quantity recording accuracy is extremely poor: because the captured flying insects are tiny and many are small black dots, the accuracy rate is very poor when the PCO is used for counting on a piece of sticky paper stuck with many flying insects by naked eyes, and the real situation of the insect pest activity around the equipment cannot be objectively reflected.
3. Inaccurate insect pest identification and classification: due to the professional knowledge or discrimination ability of the PCO, when the insect pest species captured on the pest sticking paper are various and the quantity is large, the classification and counting after accurate identification of the PCO by naked eyes are required to be almost impossible.
SUMMERY OF THE UTILITY MODEL
The utility model provides a solve the above-mentioned problem, the utility model provides a pest control facility artificial intelligence image data acquisition system, it replaces present artifical naked eye count with artificial intelligence AI science and technology, after discernment and can directly pass through wireless transmission data input service software, through AI data collection, calculate, the analysis finally forms specialized analysis report, change original artifical data information acquisition mode, PCO operating time has been saved, improve the service efficiency, pest control data's accuracy has still been promoted in addition, the categorised specialty degree of differentiation has been improved, for finally forming a more specialty, reliable data foundation has been established to credible pest activity analysis report.
The utility model provides a technical scheme does: an artificial intelligence image data acquisition system of a pest control facility comprises at least one insect killing device, an image pickup device and a terminal processing device, wherein pest sticking paper is arranged in the insect killing device and used for adhering insects, the image pickup device is used for picking up the insects on the pest sticking paper and numbering each picked insect sticking paper image in sequence, a WIFI module is arranged in the image pickup device, the image pickup device transmits the image to the terminal processing device through the WIFI module, and the terminal processing device is used for comparing the transmitted images;
the terminal processing device comprises a memory module and a system processing module.
Further optimization and improvement of the scheme are as follows: the insect killing device comprises a shell, a cavity is formed in the shell, the upper portion of the cavity is fixed with the insect killing lamp and the anti-shake high-definition camera, the insect sticking paper is located below the insect killing lamp and the anti-shake high-definition camera, the anti-shake high-definition camera is an image shooting device, and the anti-shake high-definition camera can remotely transmit images to the terminal processor. The anti-shake high-definition camera can mark serial numbers of the shot photos in sequence. Adopt anti-shake high definition camera, the insect sample photo that can the at utmost obtains the high definition improves the definition of the insect model in the insect database, is convenient for carry out the feature extraction, also provides the condition for the improvement of subsequent feature comparison success rate. The serial number marked on the photo is the same as the equipment number of the source of the photo, so that the source of the photo is easy to determine.
Further optimization and improvement of the scheme are as follows: the image shooting device is a mobile anti-shake high-definition camera.
Further optimization and improvement of the scheme are as follows: the memory module is used for storing an artificial intelligence image database of the pest control facility.
Further optimization and improvement of the scheme are as follows: the system processing module is used for comparing the image with the image data in the artificial intelligence image database of the insect pest control facility.
Compared with the prior art, the utility model discloses the beneficial effect who brings does:
1. the names of the same kind of insects can be accurately identified.
2. The number of the same kind of insects can be accurately calculated.
3. The monitoring report can be displayed at the PC terminal, namely the number and the name of different insects captured on the same device are monitored each time, the total number of the insects is calculated, and the trend curve of the captured number of various insects of each insect-proof device is automatically drawn.
Drawings
Fig. 1 is a schematic structural diagram of the present invention.
Fig. 2 is a schematic structural view of the insect killing device of the present invention.
Fig. 3 is a schematic diagram of a mobile anti-shake high definition camera during shooting.
Detailed Description
The present invention will be further described with reference to the accompanying drawings.
As shown in fig. 1 to 3, an artificial intelligence image data acquisition system for insect pest control facilities comprises at least one insect killing device 1, an image capturing device 2 and a terminal processing device 3, wherein the insect killing device 1 comprises a housing 11, a cavity 12 is formed in the housing, an insect killing lamp 13 and an anti-shake high-definition camera are fixed on the upper portion of the cavity 12, the anti-shake high-definition camera is the image capturing device 2, insect sticking paper 14 is arranged in the insect killing device, the insect sticking paper 14 is positioned below the insect killing lamp 13 and the anti-shake high-definition camera, the insect sticking paper 14 is used for adhering insects, the image capturing device 2 is used for capturing insects on the insect sticking paper and numbering each captured insect sticking paper image in sequence, the numbering is performed by the image capturing device 2 after the image capturing device 2 is set, in addition, the pest sticking paper in each pest killing device can be manually numbered to obtain the location of the corresponding pest killing device, at this time, the image capturing device 2 transmits the image to the terminal processing device 3 through the remote control device, and the terminal processing device 3 is used for comparing the transmitted image; the image shooting device 2 can also be a movable anti-shake high-definition camera, so that a camera does not need to be installed on each insect killing device, and the cost can be saved.
The terminal processing device comprises a memory module and a system processing module, wherein the memory module is used for storing an insect pest control facility artificial intelligence image database, and the system processing module is used for comparing images with image data in the insect pest control facility artificial intelligence image database. The terminal processing device can be installed at a PC end, a special bearing device for the terminal processing device or other equipment, and the actual use condition is taken as the standard.
Claims (5)
1. The utility model provides a pest control facility artificial intelligence image data acquisition system which characterized in that: the system comprises at least one deinsectization device, an image shooting device and a terminal processing device, wherein sticky paper is arranged in the deinsectization device and used for adhering insects, the image shooting device is used for shooting the insects on the sticky paper and numbering every shot sticky paper image in sequence, a WIFI module is arranged in the image shooting device, the image shooting device transmits the image to the terminal processing device through the WIFI module, and the terminal processing device is used for comparing the transmitted images;
the terminal processing device comprises a memory module and a system processing module.
2. The system of claim 1, wherein the system comprises: the insect killing device comprises a shell, a cavity is formed in the shell, the upper portion of the cavity is fixed with the insect killing lamp and the anti-shake high-definition camera, the insect sticking paper is located below the insect killing lamp and the anti-shake high-definition camera, the anti-shake high-definition camera is an image shooting device, and the anti-shake high-definition camera can remotely transmit images to the terminal processor.
3. The system of claim 1, wherein the system comprises: the image shooting device is a mobile anti-shake high-definition camera.
4. The system of claim 1, wherein the system comprises: the memory module is used for storing an artificial intelligence image database of the pest control facility.
5. A pest control facility artificial intelligence image data acquisition system according to claim 4, wherein: the system processing module is used for comparing the image with the image data in the artificial intelligence image database of the insect pest control facility.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202021016281 | 2020-06-05 | ||
| CN2020210162817 | 2020-06-05 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN214335747U true CN214335747U (en) | 2021-10-01 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202120513171.XU Active CN214335747U (en) | 2020-06-05 | 2021-03-10 | Artificial intelligence image data acquisition system of insect pest control facility |
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| Country | Link |
|---|---|
| CN (1) | CN214335747U (en) |
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2021
- 2021-03-10 CN CN202120513171.XU patent/CN214335747U/en active Active
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