CN114742842A - Intelligent mould detection method, system and device - Google Patents
Intelligent mould detection method, system and device Download PDFInfo
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- CN114742842A CN114742842A CN202210283998.5A CN202210283998A CN114742842A CN 114742842 A CN114742842 A CN 114742842A CN 202210283998 A CN202210283998 A CN 202210283998A CN 114742842 A CN114742842 A CN 114742842A
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- 238000001514 detection method Methods 0.000 title claims abstract description 73
- 238000000034 method Methods 0.000 claims abstract description 18
- 230000005540 biological transmission Effects 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 7
- 238000003709 image segmentation Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 5
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- 230000005764 inhibitory process Effects 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 229930195730 Aflatoxin Natural products 0.000 description 6
- 239000005409 aflatoxin Substances 0.000 description 6
- XWIYFDMXXLINPU-UHFFFAOYSA-N Aflatoxin G Chemical compound O=C1OCCC2=C1C(=O)OC1=C2C(OC)=CC2=C1C1C=COC1O2 XWIYFDMXXLINPU-UHFFFAOYSA-N 0.000 description 3
- 230000001954 sterilising effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000006855 networking Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 238000004659 sterilization and disinfection Methods 0.000 description 2
- 241000894006 Bacteria Species 0.000 description 1
- 241000233866 Fungi Species 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 208000015181 infectious disease Diseases 0.000 description 1
- 230000001678 irradiating effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
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- 239000004065 semiconductor Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61L—METHODS OR APPARATUS FOR STERILISING MATERIALS OR OBJECTS IN GENERAL; DISINFECTION, STERILISATION OR DEODORISATION OF AIR; CHEMICAL ASPECTS OF BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES; MATERIALS FOR BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES
- A61L2/00—Methods or apparatus for disinfecting or sterilising materials or objects other than foodstuffs or contact lenses; Accessories therefor
- A61L2/02—Methods or apparatus for disinfecting or sterilising materials or objects other than foodstuffs or contact lenses; Accessories therefor using physical phenomena
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
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Abstract
The invention relates to an intelligent mould detection method, a system and a device, wherein the method comprises the following steps: acquiring a picture of a region to be detected under the irradiation of an ultraviolet lamp; detecting the picture by using a target detection algorithm, judging whether mould exists according to a detection result, and outputting alarm information if the mould exists; if not, continuously receiving the picture of the area to be detected, and continuously detecting. Compared with the prior art, the method has the advantages of high accuracy, high detection efficiency and the like.
Description
Technical Field
The invention relates to the field of mould detection, in particular to an intelligent mould detection method, system and device.
Background
Although the types of mould detection in the current market are more, most of the mould detection belongs to medical detection and few detection types commonly used in life, and professional equipment is often required for the detection. The mould detection kit is not convenient to use in life, so people have no condition to frequently detect moulds in life, and a lot of bacteria infection can be avoided.
The existing mould detection technology mainly uses detection test paper to carry out sampling type detection on an area to be detected, but the method has large workload and inaccurate detection result due to the randomness of sampling.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide an intelligent mould detection method, system and device.
The purpose of the invention can be realized by the following technical scheme:
an intelligent mold detection method comprises the following steps:
s1, obtaining a picture of an area to be detected under the irradiation of an ultraviolet lamp;
s2, detecting the picture by using a target detection algorithm, judging whether mould exists according to a detection result, and outputting alarm information if the mould exists; if not, the process returns to step S1.
Further, the target detection algorithm is a YOLOv5 algorithm, and the specific steps are as follows:
s21, carrying out image segmentation on the picture of the area to be detected;
s22, inputting the image of the area to be detected after image segmentation into the trained full-convolution neural network to obtain a primary detection result;
and S23, screening the primary detection result by adopting a maximum inhibition method to obtain a final detection result.
Further, if the mould exists, sending the picture of the area to be detected to the user terminal.
Further, if it is determined that mold is present, the power of the ultraviolet lamp is increased until the current power can eliminate the mold.
The utility model provides an intelligence mould detecting system, includes power module, camera module, ultraviolet lamp module, transmission module, controller module, processor module and alarm module:
the camera module and the ultraviolet lamp module are arranged in the area to be detected;
the controller module is used for acquiring the picture of the area to be detected shot by the camera module and transmitting the picture of the area to be detected to the processor module through the transmission module;
the processor module detects the picture by using a target detection algorithm, judges whether mildew exists according to a detection result, and if yes, the controller module responds to the alarm module to give an alarm; if not, continuing to receive the image information of the transmission module;
the power module is used for supplying power to other modules.
And if the processor module judges that the mildew exists, the picture of the area to be detected is sent to the client module through the transmission module.
Further, if the processor module judges that the mould exists, the controller module controls the ultraviolet lamp module to increase the power of the ultraviolet lamp until the current power can eliminate the mould.
Further, the transmission module adopts a wireless communication protocol for networking.
Further, the controller module adopts an STM32 series single-chip microcomputer.
An intelligent mold detection device comprises a memory and a processor; the memory for storing a computer program; the processor, when executing the computer program, is configured to implement the following method:
s1, obtaining a picture of the area to be detected under the irradiation of the ultraviolet lamp;
s2, detecting the picture by using a target detection algorithm, judging whether mould exists according to a detection result, and outputting alarm information if the mould exists; if not, the process returns to step S1.
Compared with the prior art, the invention has the following advantages:
1. according to the method, the area to be detected under the irradiation of the ultraviolet lamp is detected mainly according to an image recognition technology, the aflatoxin b1 and b2 emit blue fluorescence, and the aflatoxin g1 and g2 emit green fluorescence under the ultraviolet ray, so that the information of whether the mould exists in the area can be obtained by recognizing the color through a simple YOLOv5 algorithm, the detection accuracy is good, the efficiency is high, the detection area does not need to be changed, the mould can be detected only by installing a camera, an ultraviolet lamp and other devices, and the method is simple and convenient.
2. The power of the ultraviolet lamp can be increased after the mould is judged to exist, so that the ultraviolet lamp can be used as a judgment standard and can also be used as a sterilization tool, manual intervention is not needed, and remote sterilization can be performed.
3. The method and the device can also send the picture of the area to be detected to the user terminal for the detection of the detection personnel after judging that the mould exists, thereby further ensuring the detection accuracy.
Drawings
FIG. 1 is a schematic flow chart of the present invention.
Fig. 2 is a block diagram of a system according to the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
The embodiment provides an intelligent mold detection method, which mainly detects aflatoxin by using an ultraviolet lamp, and specifically comprises the following steps as shown in fig. 1:
s1, acquiring a picture of a region to be detected, which is shot by a camera under the irradiation of an ultraviolet lamp;
step S2, detecting the picture by using a target detection algorithm, and judging whether the area to be detected has mould according to the detection result:
if yes, outputting alarm information to remind the detection personnel;
if not, returning to the step S1 to continue to acquire the picture of the area to be detected.
When the ultraviolet lamp is used for irradiating the mould, the aflatoxins b1 and b2 can show blue fluorescence, the aflatoxins g1 and g2 can show green fluorescence, and the aflatoxins can be identified by identifying the colors in the area through a target detection algorithm.
In this embodiment, the target detection algorithm is preferably the YOLOv5 algorithm, and the specific steps are as follows:
step S21, image segmentation is carried out on the picture of the area to be detected;
s22, inputting the image of the area to be detected after image segmentation into a trained full convolution neural network based on color to obtain a preliminary detection result;
and step S23, screening the preliminary detection result by adopting a maximum value inhibition method to obtain a final detection result.
This embodiment still provides an intelligent mould detecting system, as shown in fig. 2, mainly includes power module, camera module, ultraviolet lamp module, transmission module, controller module, processor module, clock module, client module and alarm module:
wherein, camera module and ultraviolet lamp module set up in waiting to detect the region.
The controller module is used for acquiring the pictures of the area to be detected shot by the camera module according to the period set by the clock module and transmitting the pictures of the area to be detected to the processor module through the transmission module.
The processor module detects the picture by using a target detection algorithm, judges whether mould exists according to the detection result, if yes, the controller module responds to the alarm module to give an alarm, transmits the picture of the area to be detected to the client module, and simultaneously adjusts the power of the ultraviolet lamp module to play a role in sterilizing; if not, the image information of the transmission module is continuously received.
The power module is used for providing electric quantity for other modules.
In this embodiment, if the processor module determines that no mold exists after the detection is completed, the default code is sent to the controller module through the transmission module, and when the controller module receives the default code, it is determined that no mold is generated in the area, no processing is performed; if the processor module judges that mould exists, a specific code is sent to the controller module through the transmission module according to the type of the mould (namely the color identified by the image), and when the controller module receives the specific code, the image information of the area to be detected is transmitted to the client module through the transmission module for the detection personnel to check. And simultaneously responds to the alarm module and the ultraviolet lamp module, so that the alarm module gives an alarm, and the power of the ultraviolet lamp module is increased until the power standard capable of eliminating the mould is reached.
In this embodiment, the transmission module may adopt existing wireless communication protocols such as bluetooth and ZigBee to perform networking, so as to transmit data in real time, thereby ensuring the detection speed.
Meanwhile, the client module can also adjust the functions and the starting of the modules in the system of the embodiment by people.
Through using this system, the user can make clear the article information and the fungus condition of waiting to detect the region, when detecting to have the germ, the user also can in time receive the warning, in time clears up to health risk has been reduced.
The embodiment also provides an intelligent mould detection device, which comprises a memory and a processor; a memory for storing a computer program; a processor for, when executing a computer program, implementing the method of:
s1, acquiring a picture of a region to be detected, which is shot by a camera under the irradiation of an ultraviolet lamp;
step S2, detecting the picture by using a target detection algorithm, and judging whether the area to be detected has mould according to the detection result:
if yes, outputting alarm information to remind detection personnel;
if not, returning to the step S1 to continue to acquire the picture of the area to be detected.
The present embodiment further provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the intelligent mold detection method as mentioned in the above embodiments, and any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (10)
1. An intelligent mould detection method is characterized by comprising the following steps:
s1, obtaining a picture of the area to be detected under the irradiation of the ultraviolet lamp;
s2, detecting the picture by using a target detection algorithm, judging whether mould exists according to a detection result, and outputting alarm information if the mould exists; if not, the process returns to step S1.
2. The intelligent mold detection method according to claim 1, wherein the target detection algorithm is a YOLOv5 algorithm, and the specific steps are as follows:
s21, carrying out image segmentation on the picture of the area to be detected;
s22, inputting the image of the area to be detected after image segmentation into the trained full-convolution neural network to obtain a primary detection result;
and S23, screening the primary detection result by adopting a maximum inhibition method to obtain a final detection result.
3. The intelligent mold detection method according to claim 1, wherein if it is determined that mold exists, the picture of the area to be detected is sent to the user terminal.
4. The method as claimed in claim 1, wherein if it is determined that there is mold, the power of the ultraviolet lamp is increased until the current power can eliminate mold.
5. The utility model provides an intelligence mould detecting system which characterized in that, includes power module, camera module, ultraviolet lamp module, transmission module, controller module, processor module and alarm module:
the camera module and the ultraviolet lamp module are arranged in the area to be detected;
the controller module is used for acquiring the picture of the area to be detected shot by the camera module and transmitting the picture of the area to be detected to the processor module through the transmission module;
the processor module detects the picture by using a target detection algorithm, judges whether mildew exists according to a detection result, and if yes, the controller module responds to the alarm module to give an alarm; if not, continuing to receive the image information of the transmission module;
the power module is used for supplying power to other modules.
6. The intelligent mold detection system according to claim 5, further comprising a client module, wherein if the processor module determines that mold exists, the image of the area to be detected is sent to the client module through the transmission module.
7. The intelligent mold detection system according to claim 5, wherein if the processor module determines that mold is present, the controller module controls the ultraviolet lamp module to increase the power of the ultraviolet lamp until the current power can eliminate mold.
8. The intelligent mold detection system of claim 5, wherein the transmission module is networked using a wireless communication protocol.
9. An intelligent mould detection system according to claim 5, wherein the controller module employs an STM32 series single chip microcomputer.
10. An intelligent mould detection device is characterized by comprising a memory and a processor; the memory for storing a computer program; the processor, when executing the computer program, is configured to implement the method of:
s1, obtaining a picture of the area to be detected under the irradiation of the ultraviolet lamp;
s2, detecting the picture by using a target detection algorithm, judging whether mould exists according to a detection result, and outputting alarm information if the mould exists; if not, the process returns to step S1.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210283998.5A CN114742842A (en) | 2022-03-21 | 2022-03-21 | Intelligent mould detection method, system and device |
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| CN202210283998.5A CN114742842A (en) | 2022-03-21 | 2022-03-21 | Intelligent mould detection method, system and device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114958579A (en) * | 2022-05-30 | 2022-08-30 | 重庆电子工程职业学院 | Mould detection lamp for special crowds |
| CN115595253A (en) * | 2022-10-13 | 2023-01-13 | 江苏三联生物工程股份有限公司（Cn） | Anaerobic flora extracts and processing apparatus in little oxygen type intestinal content |
-
2022
- 2022-03-21 CN CN202210283998.5A patent/CN114742842A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114958579A (en) * | 2022-05-30 | 2022-08-30 | 重庆电子工程职业学院 | Mould detection lamp for special crowds |
| CN115595253A (en) * | 2022-10-13 | 2023-01-13 | 江苏三联生物工程股份有限公司（Cn） | Anaerobic flora extracts and processing apparatus in little oxygen type intestinal content |
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