CN112691920A - Machine vision recognition system with multi-information fusion - Google Patents
Machine vision recognition system with multi-information fusion Download PDFInfo
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- CN112691920A CN112691920A CN202011424942.4A CN202011424942A CN112691920A CN 112691920 A CN112691920 A CN 112691920A CN 202011424942 A CN202011424942 A CN 202011424942A CN 112691920 A CN112691920 A CN 112691920A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
- B07C5/362—Separating or distributor mechanisms
Abstract
The invention relates to the technical field of production machinery, and discloses a machine vision identification system with multi-information fusion, which comprises a transmission module, an identification module and a processing module, wherein the transmission module comprises a conveyor belt, a positioning unit and a shunting unit, the identification module comprises an infrared detection unit, a classification unit and a statistic unit, the processing module comprises a marking unit, a qualified product output unit and a recovery unit, the output end of the positioning unit is connected with the input end of the infrared detection unit, the output end of the infrared detection unit is connected with the input end of the classification unit, the output end of the classification unit is connected with the input end of the shunting unit, the output end of the shunting unit is connected with the input end of the statistic unit, and the output end of the statistic unit is connected with the input end of the marking unit. The marking unit is arranged to enable the identification flow of the workpiece to be visual, and visual monitoring of the identification, processing and counting flows of the workpiece is facilitated.
Description
Technical Field
The invention relates to the technical field of machine vision, in particular to a multi-information fusion machine vision identification system.
Background
The assembly line production greatly improves the industrial production efficiency, is beneficial to realizing the standardization of products, and is a production mode widely adopted at present; the traditional assembly line production is a passive production, the assembly line mechanically conveys workpieces, and all the links of processing, inspection, packaging and the like are realized by workers distributed on two sides of the assembly line; with the discovery of automation technology, various automation operation and judgment technologies are introduced into more and more pipelines, so that the labor input is reduced, and the product quality is guaranteed; as a basis of pipeline automation, the identification of workpieces is an initial step of an automation process and is also a difficult step; the machine vision recognition system is an important branch of computer science, integrates the technologies of optics, mechanics, electronics, computer software and hardware, and relates to the fields of computers, image processing, mode recognition, artificial intelligence, signal processing, optical-mechanical-electrical integration and the like.
Most of the existing machine vision recognition systems can only detect products, can not count the qualified rate of detection in real time, and can not mark and count the problems of unqualified products.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a machine vision identification system with multi-information fusion, which solves the problems that most of the existing machine vision identification systems in the background technology can only detect products, can not count the qualified rate of detection in real time, and can not mark and count the problems of unqualified products.
The invention provides the following technical scheme: a machine vision identification system with multi-information fusion comprises a transmission module, an identification module and a processing module, the transmission module comprises a conveyor belt, a positioning unit and a shunting unit, the identification module comprises an infrared detection unit, a classification unit and a statistical unit, the processing module comprises a marking unit, a qualified product output unit and a recovery unit, the output end of the positioning unit is connected with the input end of the infrared detection unit, the output end of the infrared detection unit is connected with the input end of the classification unit, the output end of the classification unit is connected with the input end of the shunt unit, the output end of the shunting unit is connected with the input end of the statistical unit, the output end of the statistical unit is connected with the input end of the marking unit, the output end of the marking unit is connected with the input end of the qualified product output unit, and the output end of the qualified product output unit is connected with the input end of the recovery unit.
Preferably, the conveyor belt runs through the whole process, all units in all modules are connected, and the positioning unit, the infrared detection unit, the classification unit, the flow distribution unit, the statistical unit, the marking unit, the qualified product output unit and the recovery unit are sequentially connected in series.
Preferably, the positioning unit is used for adjusting the position of the workpiece, the infrared detection unit is used for identifying the outer contour and the position of the workpiece, the infrared unit compares the contour and the positioning parameters of the workpiece with the reference data and reflects the result to the positioning unit, and the positioning unit adjusts the position of the workpiece according to the data reflected by the infrared detection unit.
Preferably, the classifying unit is used for judging whether the positioning of the workpiece is correct and the density of the workpiece reaches the standard, the qualified workpiece and the unqualified workpiece are distinguished by comparing the workpiece with a parameter set in advance, and the classifying unit separately processes the qualified workpiece and the unqualified workpiece through the shunting unit.
Preferably, the marking unit comprises three signal lamps, the three signal lamps are respectively electrically connected with the positioning unit, the classifying unit and the counting unit, when the positioning unit adjusts the position of the workpiece correctly, the first signal lamp is turned on, when the classifying unit judges that the density of the workpiece reaches the standard, the second signal lamp is turned on, and when the quantity of qualified products is counted by the counting unit, the third signal lamp is turned on.
Preferably, the qualified product output unit is used for processing and demolding the workpieces with various standard detection data, the counting unit is used for counting the number and outputting the arrangement of the workpieces subjected to demolding, when the workpieces are processed and demolded, faults and damages possibly caused by demolding are caused, the qualified product output unit can detect and classify the demolded workpieces, output and count the qualified products, analyze whether unqualified products can be processed for the second time, transport the workpieces to the initial point of the qualified product output unit if the unqualified products can be processed for the second time, and transmit the workpieces to the recovery unit if the unqualified products cannot be processed for the second time.
Preferably, the recovery unit is used for recycling substandard workpieces in the classification unit and the qualified product output unit, the recovery unit is provided with three levels of recovery difficulty which are respectively a first level remanufacturing difficulty, a second level remanufacturing difficulty and a third level remanufacturing difficulty, and the substandard workpieces screened by different units are classified and recovered according to different levels of remanufacturing difficulties.
Preferably, the infrared detection unit is provided with a parameter presetting system, and the parameter presetting system is used for setting workpiece positioning data and a workpiece density standard.
The invention has the following beneficial effects:
1. the machine vision recognition system with multi-information fusion enables the recognition flow of the workpiece to be visual by arranging the marking unit, and is favorable for monitoring the recognition, processing and counting flows of the workpiece visually.
2. The machine vision recognition system with multi-information fusion carries out statistical arrangement and output on qualified workpieces by arranging the statistical unit, so that the product quantity is clear at a glance.
Drawings
FIG. 1 is a block diagram of the working principle of a multi-information fusion machine vision recognition system according to the present invention;
FIG. 2 is a block diagram of a transmission module of a multi-information fusion machine vision recognition system according to the present invention;
FIG. 3 is a block diagram of an identification module of a multi-information fusion machine vision identification system according to the present invention;
FIG. 4 is a block diagram of a processing module of a multi-information fusion machine vision recognition system according to the present invention;
fig. 5 is a flowchart illustrating a multi-information fusion machine vision recognition system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-5, a multi-information fusion machine vision recognition system includes a transmission module, a recognition module and a processing module, the transmission module includes a conveyor belt, a positioning unit and a shunting unit, the recognition module includes an infrared detection unit, categorised unit and statistical unit, processing module includes the mark unit, certified products output unit and recovery unit, the output and the input of infrared detecting element of positioning unit are connected, the output and the input of categorised unit of infrared detecting element are connected, the output and the input of reposition of redundant personnel unit of categorised unit are connected, the output and the input of statistical unit of reposition of redundant personnel unit are connected, the output and the input of mark unit of statistical unit are connected, the output and the input of certified products output unit of mark unit are connected, the output and the input of recovery unit of certified products output unit are connected.
Wherein, the conveyer belt runs through whole flow, links up each unit in each module, and the locating unit, infrared detecting element, the categorised unit, reposition of redundant personnel unit, statistical unit, mark unit, certified products output unit and recovery unit are established ties in proper order to form complete assembly line, can count up qualified product simultaneously, mark, count and reject unqualified product, be favorable to improving categorised meticulous degree.
The positioning unit is used for adjusting the position of a workpiece, the infrared detection unit is used for identifying the outline and the position of the workpiece, the infrared unit compares the outline and the positioning parameters of the workpiece with reference data and reflects the outline and the positioning parameters to the positioning unit, and the positioning unit adjusts the position of the workpiece according to the data reflected by the infrared detection unit, so that the outline and the positioning parameters of the workpiece can be consistent with the reference data.
The classifying unit is used for judging whether the positioning of the workpiece is correct and the density of the workpiece reaches the standard, distinguishing qualified workpieces from unqualified workpieces after comparing the workpiece with parameters set in advance, and separately processing the qualified workpieces and the unqualified workpieces through the shunting unit.
Wherein, the mark unit includes three signal lamp, three signal lamp respectively with positioning unit, sorting unit and statistical unit electric connection, when positioning unit is correct with the position adjustment of work piece, first signal lamp is lighted, judges the back that work piece density is up to standard when sorting unit, and second signal lamp is lighted, and after statistical unit was counted to the quantity of certified products, the third signal lamp was lighted to can be audio-visual the behavior that learns each module through observing the signal lamp.
The qualified product output unit is used for processing and demoulding workpieces with all detection data reaching the standard, the counting unit is used for counting the quantity and outputting the arrangement of the workpieces subjected to demoulding, faults and damages which are possibly caused during demoulding are caused after the workpieces are processed and demoulded, the qualified product output unit can detect and classify the workpieces subjected to demoulding, the qualified products are output and counted, unqualified products are analyzed whether secondary processing is available or not, if the secondary processing is available, the workpieces are transported to the initial point of the qualified product output unit, and if the secondary processing is not available, the workpieces are conveyed to the recovery unit.
The recycling unit is used for recycling substandard workpieces in the classifying unit and the qualified product output unit, is provided with three levels of recycling difficulty, is respectively a first-level remanufacturing difficulty, a second-level remanufacturing difficulty and a third-level remanufacturing difficulty, and classifies and recycles the substandard workpieces screened by different units according to the remanufacturing difficulties of different levels.
The infrared detection unit is provided with a parameter presetting system, and the parameter presetting system is used for setting workpiece positioning data and a workpiece density standard, so that the workpiece positioning data and the workpiece density standard can be flexibly adjusted according to different batches and types of workpieces.
When the device works, the outline of a reference object is recognized and positioning parameters are set, then the outline information of a workpiece transmitted by a conveyor belt can be recognized, whether the positioning parameters and the outline information are the same as the data of the reference object or not is judged, if the positioning parameters and the outline information are different, the workpiece is moved to a specified position and then recognized again, the workpiece which is the same as the reference data is further subjected to density detection, judgment is carried out according to the set reference density, the workpiece which reaches the standard in density is conveyed forwards and processed according to a specified program, the workpiece which does not reach the standard in density is removed and conveyed to a recovery unit, the recovery unit carries out recovery difficulty distinguishing and classified recovery on the workpiece, the processed workpiece is easy to generate faults and damage when being demoulded, a qualified product output unit detects the processed workpiece, the workpiece which reaches the standard continues to be transmitted to a statistical unit, and the unqualified workpiece is firstly analyzed by the inside of the, if the secondary processing can be carried out, the workpieces are conveyed to the starting point of the qualified product output unit, if the secondary processing cannot be carried out, the workpieces are conveyed to the recovery unit, then the recovery unit is used for classifying, the qualified workpieces are arranged and output after being counted by the counting unit, a first signal lamp in the marking unit is lighted after the positioning parameters of the workpieces are set correctly, a second signal lamp is lighted after the processing of the workpieces is finished, a third signal lamp is lighted after the counting of the workpieces is finished, and what unit the workpieces are located in is directly known by observing the signal lamps.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A machine vision identification system with multi-information fusion comprises a transmission module, an identification module and a processing module, the transmission module comprises a conveyor belt, a positioning unit and a shunting unit, the identification module comprises an infrared detection unit, a classification unit and a statistical unit, the processing module comprises a marking unit, a qualified product output unit and a recovery unit, the output end of the positioning unit is connected with the input end of the infrared detection unit, the output end of the infrared detection unit is connected with the input end of the classification unit, the output end of the classification unit is connected with the input end of the shunt unit, the output end of the shunting unit is connected with the input end of the statistical unit, the output end of the statistical unit is connected with the input end of the marking unit, the output end of the marking unit is connected with the input end of the qualified product output unit, and the output end of the qualified product output unit is connected with the input end of the recovery unit.
2. The multi-information-fusion machine vision recognition system of claim 1, wherein: the conveyer belt runs through the whole process, links up each unit in each module, and the positioning unit, infrared detection unit, sorting unit, reposition of redundant personnel unit, statistics unit, mark unit, certified products output unit and recovery unit are established ties in proper order.
3. The multi-information-fusion machine vision recognition system of claim 1, wherein: the positioning unit is used for adjusting the position of a workpiece, the infrared detection unit is used for identifying the outline and the position of the workpiece, the infrared unit compares the outline and the positioning parameters of the workpiece with reference data and reflects the outline and the positioning parameters to the positioning unit, and the positioning unit adjusts the position of the workpiece according to the data reflected by the infrared detection unit.
4. The multi-information-fusion machine vision recognition system of claim 1, wherein: the classifying unit is used for judging whether the positioning of the workpiece is correct and the density of the workpiece reaches the standard, distinguishing qualified workpieces from unqualified workpieces by comparing the workpiece with parameters set in advance, and separately processing the qualified workpieces and the unqualified workpieces through the shunting unit.
5. The multi-information-fusion machine vision recognition system of claim 1, wherein: the marking unit comprises three signal lamps, the three signal lamps are respectively electrically connected with the positioning unit, the classifying unit and the counting unit, when the positioning unit adjusts the position of the workpiece correctly, the first signal lamp is lightened, when the classifying unit judges that the density of the workpiece reaches the standard, the second signal lamp is lightened, and when the quantity of qualified products is counted by the counting unit, the third signal lamp is lightened.
6. The multi-information-fusion machine vision recognition system of claim 1, wherein: the qualified product output unit is used for processing and demoulding workpieces with all detection data reaching the standard, the counting unit is used for counting the quantity and outputting the arrangement of the workpieces subjected to demoulding, when the workpieces are processed and demoulded, faults and damages possibly caused by demoulding are caused, the qualified product output unit can detect and classify the workpieces subjected to demoulding, output and count the qualified products, analyze whether unqualified products can be processed for the second time, transport the workpieces to the initial point of the qualified product output unit if the unqualified products can be processed for the second time, and transmit the workpieces to the recovery unit if the unqualified products cannot be processed for the second time.
7. The multi-information-fusion machine vision recognition system of claim 1, wherein: the recycling unit is used for recycling substandard workpieces in the classifying unit and the qualified product output unit, the recycling unit is provided with three levels of recycling difficulty which is respectively one-level remanufacturing difficulty, two-level remanufacturing difficulty and three-level remanufacturing difficulty, and substandard workpieces screened by different units are classified and recycled according to different levels of remanufacturing difficulty.
8. The multi-information-fusion machine vision recognition system of claim 1, wherein: the infrared detection unit is provided with a parameter presetting system, and the parameter presetting system is used for setting workpiece positioning data and a workpiece density standard.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115903704A (en) * | 2022-11-29 | 2023-04-04 | 青岛丰拓力行科技服务有限公司 | Intelligent industrial product processing control method, system, medium, equipment and application |
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