CN112729389A - Machine vision system - Google Patents
Machine vision system Download PDFInfo
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- CN112729389A CN112729389A CN202011528555.5A CN202011528555A CN112729389A CN 112729389 A CN112729389 A CN 112729389A CN 202011528555 A CN202011528555 A CN 202011528555A CN 112729389 A CN112729389 A CN 112729389A
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- 238000000605 extraction Methods 0.000 claims abstract description 50
- 238000012545 processing Methods 0.000 claims abstract description 31
- 230000005540 biological transmission Effects 0.000 claims abstract description 23
- 230000002159 abnormal effect Effects 0.000 claims abstract description 9
- 230000008676 import Effects 0.000 claims abstract description 9
- 238000013500 data storage Methods 0.000 claims abstract description 7
- 239000000284 extract Substances 0.000 claims abstract description 6
- 238000000034 method Methods 0.000 claims abstract description 5
- 230000033001 locomotion Effects 0.000 claims description 20
- 238000005286 illumination Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 abstract description 12
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000011161 development Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 241000607479 Yersinia pestis Species 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0219—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory ensuring the processing of the whole working surface
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- General Physics & Mathematics (AREA)
- Aviation & Aerospace Engineering (AREA)
- Radar, Positioning & Navigation (AREA)
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- Automation & Control Theory (AREA)
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Abstract
The invention discloses a machine vision system, which comprises information extraction equipment and data processing equipment, wherein the information extraction equipment comprises a plurality of information acquisition devices; the information extraction equipment comprises a robot body capable of being remotely controlled, a robot control module, an information extraction module, an information transmission module, a lighting module, an alarm module and a battery module; the data processing equipment comprises a system control module, a data processing module, a data storage module, a display module, a data transmission module and a data import module; the information extraction module extracts the field information and transmits the field information to the data processing equipment through the information transmission module, and the data processing module processes the received field information and displays the result in the display module; the machine vision system has the beneficial effects that: on one hand, the large-area planting area can be monitored and information can be transmitted back, meanwhile, the position where abnormal information is found is subjected to further detailed information extraction and monitoring, and the problem that information is omitted or cannot be monitored clearly is effectively solved.
Description
Technical Field
The invention belongs to the field of monitoring, and particularly relates to a machine vision system.
Background
With the development of science and technology, on-site real-time monitoring, remote real-time monitoring and remote intelligent control are widely applied. These real-time monitoring or intelligent control uses a mechanical vision system, i.e. uses machine recognition and judgment to replace human eyes to make various measurements and judgments, mainly involving image processing and pattern recognition.
With the development of automated agriculture, a machine vision system is applied in the field, the problem of large-area or remote monitoring is solved, the labor intensity of workers is reduced, particularly the problem of outdoor monitoring in the summer with stormy weather or high temperature is solved, and crops can be monitored in real time.
Disclosure of Invention
The invention aims to provide a machine vision system which is applied to the field of agricultural planting, realizes large-area real-time monitoring and data transmission on farmlands or farms, and ensures that background workers can know the growth condition and the pest and disease damage condition of crops on the farmlands and farms in real time.
The invention relates to a machine vision system, which comprises an information extraction device and a data processing device which are connected by signals; the information extraction equipment comprises a robot body capable of being remotely controlled, and a robot control module, an information extraction module, an information transmission module, an illumination module, an alarm module and a battery module which are arranged on the robot body; the data processing equipment comprises a system control module, a data processing module, a data storage module, a display module, a data transmission module and a data import module; the information extraction module extracts the field information and transmits the field information to the data processing equipment through the information transmission module, and the data processing module processes the received field information and displays the result in the display module;
the data processing module receives the field information transmitted by the information extraction module through the data transmission module, compares the field information with the normal comparison information stored in the data storage module, and when the field information is found to be abnormal, the system control module controls the robot control module and the information extraction module to perform advanced extraction or amplified extraction on the abnormal position of the field information through the data transmission module, and transmits the newly extracted detailed information to the data processing equipment.
Preferably, the information extraction module includes an image extraction device, a sound extraction device, and an ambient temperature and humidity extraction device.
Preferably, the image extraction apparatus includes a camera having an infrared camera function and a camera having an infrared camera function.
Preferably, the robot control module includes a motion navigation module and a motion execution module, the motion navigation module receives a motion path imported by the data import module on the data processing device through the information transmission module, and the motion navigation module controls the motion execution module to realize that the robot body moves according to the motion path.
The machine vision system of the technical scheme of the invention has the beneficial effects that: on one hand, the large-area planting area can be monitored and information can be transmitted back, meanwhile, the position where abnormal information is found is subjected to further detailed information extraction and monitoring, and the problem that information is omitted or cannot be monitored clearly is effectively solved.
Drawings
Fig. 1 is a schematic diagram of a machine vision system according to the present invention.
Detailed Description
In order to facilitate the understanding of the technical solutions of the present invention for those skilled in the art, the technical solutions of the present invention will be further described with reference to the drawings attached to the specification.
As shown in fig. 1, a machine vision system according to an embodiment of the present invention includes an information extraction device 1 and a data processing device 2 connected by wireless signals. The information extraction device 1 includes a robot body 11 that can be remotely controlled, and a robot control module 13, an information extraction module 14, an information transmission module 12, an illumination module 17, an alarm module 15, and a battery module 16 that are mounted on the robot body 11. Robot 11 is the carrier, be convenient for control on the one hand and realize walking or flying according to prescribed route, on the one hand for each integrated module provides the installation carrier, with robot control module 13, information extraction module 14, information transmission module 12, lighting module 17, alarm module 15 and battery module 16 all embedded the installation on robot 11, make each functional module can get into various control positions, realize the control no dead angle, can work under bad weather such as stormy weather, also can work in the summer of explosion sun, staff's working strength has been reduced, realize automaticly.
The robot control module 13 controls the movement of the robot body and also controls the information extraction module. The data processing module 22 receives the field information transmitted by the information extraction module 14 through the data transmission module 25, and compares the field information with the normal comparison information stored in the data storage module 23. When the field information is found to be abnormal, the system control module 21 controls the robot control module 13 and the information extraction module 14 to perform further extraction or amplified extraction on the abnormal position of the field information through the data transmission module 25, and transmits the newly extracted detailed information to the data processing device 2. The technical scheme changes the prior art that the robot extracts information from all positions in work in a mode of non-differential extraction, so that the extracted information is incomplete and loses the functions of monitoring and real-time control. In the technology, the position is firstly extracted in a model mode, after the abnormality is found, the local automatic further fine extraction is carried out, the information of the abnormal part can be effectively and completely extracted, and the monitoring, the control and the management are convenient.
The data processing device 2 includes a system control module 21, a data processing module 22, a data storage module 23, a display module 24, a data transmission module 25, and a data import module 26. The information extraction module 14 extracts the field information and transmits the field information to the data processing device 2 through the information transmission module 12, and the data processing module 22 processes the received field information and displays the result in the display module 24.
The data processing module 22 further extracts, converts, compares and judges the received information, and finally, the field information is visually displayed in the display module, so that the identification and reading of general staff are facilitated.
The information extraction module 14 includes an image extraction device 141, a sound extraction device 142, and an ambient temperature and humidity extraction device 143. The image extraction device 141 includes a camera having an infrared camera function and a camera having an infrared camera function. This technical scheme's use for can shoot or the admission video in day or night or the not good time of light to the monitoring area, the suitability is strong.
The robot control module 13 includes a motion navigation module 131 and a motion execution module 132. The motion navigation module 131 receives the motion path imported by the data import module 26 on the data processing device 2 through the information transmission module 12, and controls the motion execution module 132 to realize that the robot body 11 moves according to the motion path. The data import module 26 is an input device, and imports preset information into the system control module 21 through a transport device.
Technical solution of the invention is described above with reference to the accompanying drawings, it is obvious that the specific implementation of the invention is not limited by the above-mentioned manner, and it is within the scope of the invention to adopt various insubstantial modifications of the inventive method concept and technical solution, or to apply the inventive concept and technical solution to other occasions without modification.
Claims (4)
1. A machine vision system, comprising a signal connected information extraction device and a data processing device; the information extraction equipment comprises a robot body capable of being remotely controlled, and a robot control module, an information extraction module, an information transmission module, an illumination module, an alarm module and a battery module which are arranged on the robot body; the data processing equipment comprises a system control module, a data processing module, a data storage module, a display module, a data transmission module and a data import module; the information extraction module extracts the field information and transmits the field information to the data processing equipment through the information transmission module, and the data processing module processes the received field information and displays the result in the display module;
the data processing module receives the field information transmitted by the information extraction module through the data transmission module, compares the field information with the normal comparison information stored in the data storage module, and when the field information is found to be abnormal, the system control module controls the robot control module and the information extraction module to perform advanced extraction or amplified extraction on the abnormal position of the field information through the data transmission module, and transmits the newly extracted detailed information to the data processing equipment.
2. The machine-vision system of claim 1, wherein the information extraction module comprises an image extraction device, a sound extraction device, and an ambient temperature and humidity extraction device.
3. The machine-vision system of claim 2, wherein the image extraction device comprises a camera having an infrared camera function and a camera having an infrared camera function.
4. The machine vision system of claim 1, wherein the robot control module comprises a motion navigation module and a motion execution module, the motion navigation module receives a motion path imported by a data import module on the data processing device through the information transmission module, and the motion execution module is controlled to realize that the robot body moves according to the motion path.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011528555.5A CN112729389A (en) | 2020-12-22 | 2020-12-22 | Machine vision system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011528555.5A CN112729389A (en) | 2020-12-22 | 2020-12-22 | Machine vision system |
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| CN112729389A true CN112729389A (en) | 2021-04-30 |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102082466A (en) * | 2010-10-15 | 2011-06-01 | 重庆市电力公司超高压局 | Intelligent inspection robot system for transformer substation equipment |
| CN102854897A (en) * | 2012-09-28 | 2013-01-02 | 上海元朔信息科技有限公司 | Abnormal target finding and tracking system and method |
| CN103327076A (en) * | 2013-05-29 | 2013-09-25 | 滁州友林科技发展有限公司 | System and method for oil pumping machine control based on on-site prejudgment |
| CN107154141A (en) * | 2017-04-12 | 2017-09-12 | 合肥才来科技有限公司 | School's examination hall audio/video monitor and control system |
| CN108762172A (en) * | 2018-04-12 | 2018-11-06 | 广东电网有限责任公司 | A kind of cruising inspection system of dispatching automation computer room robot |
| CN111091073A (en) * | 2019-11-29 | 2020-05-01 | 清华大学 | Abnormal event monitoring equipment and method combining video and audio |
-
2020
- 2020-12-22 CN CN202011528555.5A patent/CN112729389A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102082466A (en) * | 2010-10-15 | 2011-06-01 | 重庆市电力公司超高压局 | Intelligent inspection robot system for transformer substation equipment |
| CN102854897A (en) * | 2012-09-28 | 2013-01-02 | 上海元朔信息科技有限公司 | Abnormal target finding and tracking system and method |
| CN103327076A (en) * | 2013-05-29 | 2013-09-25 | 滁州友林科技发展有限公司 | System and method for oil pumping machine control based on on-site prejudgment |
| CN107154141A (en) * | 2017-04-12 | 2017-09-12 | 合肥才来科技有限公司 | School's examination hall audio/video monitor and control system |
| CN108762172A (en) * | 2018-04-12 | 2018-11-06 | 广东电网有限责任公司 | A kind of cruising inspection system of dispatching automation computer room robot |
| CN111091073A (en) * | 2019-11-29 | 2020-05-01 | 清华大学 | Abnormal event monitoring equipment and method combining video and audio |
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Application publication date: 20210430 |
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