CN109406533A - A kind of detection system and method for surface defects of products - Google Patents

A kind of detection system and method for surface defects of products Download PDF

Info

Publication number
CN109406533A
CN109406533A CN201811253443.6A CN201811253443A CN109406533A CN 109406533 A CN109406533 A CN 109406533A CN 201811253443 A CN201811253443 A CN 201811253443A CN 109406533 A CN109406533 A CN 109406533A
Authority
CN
China
Prior art keywords
product
camera
image
control module
light source
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201811253443.6A
Other languages
Chinese (zh)
Inventor
宗明辉
黄耀
张辉
吴雨培
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Achu Robot Technology Co Ltd
Original Assignee
Beijing Achu Robot Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Achu Robot Technology Co Ltd filed Critical Beijing Achu Robot Technology Co Ltd
Priority to CN201811253443.6A priority Critical patent/CN109406533A/en
Publication of CN109406533A publication Critical patent/CN109406533A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8806Specially adapted optical and illumination features

Abstract

The present invention provides a kind of detection system of surface defects of products and methods.System includes: catching robot, inspecting manipuator, control module and defect detecting device, and the defect detecting device includes: first camera and second camera;The image of the first camera upper surface of shooting detected product, second camera are used to shoot the image of the lower surface of the detected product;The image of the upper surface of the collected product is sent to control module by first camera;Control module whether there is defect according to the upper surface of the image detection product of the upper surface of product, and export the first testing result;The image of the lower surface of the collected product is sent to the control module by second camera;The upper surface of control module product according to the image detection of the lower surface of the product whether there is defect, and export the second testing result.In this way, the automatic detection to surface defects of products may be implemented.

Description

A kind of detection system and method for surface defects of products
Technical field
The present invention relates to technical field of vision detection, a kind of detection system in particular to surface defects of products and Method.
Background technique
Since the surface defect of hard alloy cutter determines the precision of its service life and processing, with to cutter quality Requirement it is higher and higher, realize to the defects detection of hard alloy cutter it is the key that improve hard alloy cutter quality and yield One ring.
Since hard alloy mechanical process tool has ten several series, size, shape, Facing material varies in color, and allows Flaw size be lower than human eye span of discrimination.Detection method in the prior art be inspector under the microscope, pass through naked eyes Identify defect, this method speed is relatively slow, can not determine accurate product defects size, and human eye fatigue is be easy to cause to be formed Missing inspection, since product category is more, more people, which divide the work, to be detected, it is difficult to form effective product information statistics.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of detection system of surface defects of products and method, to improve To the efficiency of the defects detection on the surface of the products such as cutter.
In a first aspect, the embodiment of the invention provides a kind of detection systems of surface defects of products, comprising:
Catching robot, inspecting manipuator, control module and defect detecting device, the catching robot, detection are mechanical Hand is connected with the control module;
The defect detecting device includes: first camera and second camera;The first camera is set to detection platform Top, the second camera are set to the lower section of detection platform;The upper surface of first camera shooting detected product Image, the second camera are used to shoot the image of the lower surface of the detected product;
The catching robot is used under the control of the control module meet preset production from material platform to be detected crawl The product to be detected of product type information, and the product to be detected is put to the lower section of the first camera of detection platform, it touches Send out the first camera described and acquire the image of the upper surface of the product;
The image of the upper surface of the collected product is sent to the control module by the first camera;The control The upper surface of product described in image detection of the molding root tuber according to the upper surface of the product whether there is defect, and export the first inspection Survey result;
The inspecting manipuator, for grabbing the product to second after the first camera Image Acquisition finishes Camera detection zone after, trigger the image that the second camera acquires the lower surface of the product;
The image of the lower surface of the collected product is sent to the control module by the second camera;The control The upper surface of product described in image detection of the molding root tuber according to the lower surface of the product whether there is defect, and export the second inspection Survey result.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein institute State system, further includes:
Light source controller, first light source and second light source, the first light source and the second light source with the light source Controller is connected;The light source controller is connected with the control module;
The first light source is set to the lower section of the first camera, and the second light source is set to the second camera Top;The first light source is respectively used to adopt in the first camera and second camera progress image with the second light source Light filling when collection.
The possible embodiment of with reference to first aspect the first, the embodiment of the invention provides second of first aspect Possible embodiment, wherein be provided with third camera above the catching robot, the catching robot is also used to transporting After moving to material platform to be detected position, triggers the third camera and be acquired the image comprising material platform to be detected, and will be described Image is sent to control module, and the control module determines that meeting of being included on the material platform to be detected is pre- according to described image If product type information product to be detected location information, the location information is sent to the catching robot, institute Catching robot is stated for grabbing the product to be detected according to the position letter information.
With reference to first aspect, the embodiment of the invention provides the third possible embodiments of first aspect, wherein institute It states control module to be also used to, the quality etc. of the product is determined according to first testing result and second testing result Grade, according to the quality grade of the product determine the product belonging to material storage dish, and by material storage dish belonging to the product believe Breath is sent to inspecting manipuator, and the inspecting manipuator is used for according to the material storage dish information, and the product is placed the storage In charging tray.
In conjunction with one side, the embodiment of the invention provides the 4th kind of possible embodiments of first aspect, wherein institute Control module is stated, specifically for carrying out the upper of the product according to the image detection of the upper surface of the product in the following manner Surface whether there is defect:
The control module receives the image of the upper surface of the product, and calling pre-establishes and trained neural network Model calculate by the neural network model according to test parameter set by user, defect threshold value and described image To defects detection result;Wherein, the test parameter includes: batch size numerical value and image cutting numerical value.
With reference to first aspect, the embodiment of the invention provides the 5th kind of possible embodiments of first aspect, wherein institute It states the first testing result and second testing result includes the following information content: the position of defect, the size of defect and defect Shape, and the class information of the product according to determined by the shape of the position of the defect, the size of defect and defect.
The possible embodiment of with reference to first aspect the first, the embodiment of the invention provides the 6th kind of first aspect Possible embodiment, wherein the control module is also used to the product type information according to the product to be detected and presets Product type information and light source luminance information mapping relations, determine the corresponding light source of the product to be detected brightness letter The luminance information of the light source is sent to light source controller by breath, and the light source controller is used to be believed according to the light-source brightness The brightness of breath adjustment first light source and second light source.
With reference to first aspect, the embodiment of the invention provides the 7th kind of possible embodiments of first aspect, wherein institute Control module is stated to be also used to according to the product type information of the product to be detected and preset product type information and camera The mapping relations of depth of exposure determine the depth of exposure of the corresponding camera of the product to be detected, by the exposure journey of the camera Degree is sent to the first camera and the second camera, so that the first camera and the second camera are according to described to be checked The depth of exposure for surveying the corresponding camera of product adjusts exposure.
With reference to first aspect, the embodiment of the invention provides the 8th kind of possible embodiments of first aspect, wherein institute State system, further includes: alarming device, the alarming device are connected with the control module;
The control module is also used to count the quantity for having defective product within a preset period of time, super in the quantity The alarming device is triggered when crossing preset value to alarm.
Second aspect, the embodiment of the invention also provides a kind of detection methods of surface defects of products, which is characterized in that packet It includes:
Catching robot meets preset product type information from material platform to be detected crawl under the control of control module Product to be detected is put to the lower section of the first camera of detection platform;
The image of the upper surface of the collected product is sent to control module by the first camera;
The upper surface of control module product according to the image detection of the upper surface of the product is with the presence or absence of scarce It falls into, and exports the first testing result;
Inspecting manipuator grabs corresponding to the product to second camera after the first camera Image Acquisition finishes Detection zone after, trigger the image that the second camera acquires the lower surface of the product;
The image of the lower surface of the collected product is sent to the control module by the second camera;
The upper surface of control module product according to the image detection of the lower surface of the product is with the presence or absence of scarce It falls into, and exports the second testing result.
The detection system and method for a kind of surface defects of products provided in an embodiment of the present invention, are carried out by catching robot Product to be detected is grabbed, and acquires by first camera the image of the upper surface of product to be detected, the image of the upper surface is sent out It send to control module, judge whether the upper surface of the product deposits according to the image of the upper surface of the product by the control module In defect;After the image of the upper surface of the product of first camera acquisition, product to be detected is placed second by inspecting manipuator The shooting area of camera, and then second camera is acquired the image of the lower surface of the product to be detected, by control module according to The image of the lower surface of the product to be detected judge the lower surface of the product to be detected with the presence or absence of defect, and exports detection As a result, can complete in turn to the automatic carry out defect of product detection have precise and high efficiency good effect.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate Appended attached drawing, is described in detail below.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this A little attached drawings obtain other relevant attached drawings.
Fig. 1 shows a kind of structural schematic diagram of the detection system of surface defects of products provided by the embodiment of the present invention;
Fig. 2 shows a kind of flow diagrams of the detection method of surface defects of products provided by the embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention Middle attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only It is a part of the embodiment of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings is real The component for applying example can be arranged and be designed with a variety of different configurations.Therefore, of the invention to what is provided in the accompanying drawings below The detailed description of embodiment is not intended to limit the range of claimed invention, but is merely representative of selected reality of the invention Apply example.Based on the embodiment of the present invention, those skilled in the art institute obtained without making creative work There are other embodiments, shall fall within the protection scope of the present invention.
Fig. 1 is a kind of structural schematic diagram of the detection system of surface defects of products provided by the embodiments of the present application.Referring to Fig.1 It is shown, the detection system of one of the present embodiment surface defects of products, comprising:
Catching robot 101, inspecting manipuator 103, control module 104 and defect detecting device 102, catching robot 101, inspecting manipuator 103 is connected with control module 104.
Above-mentioned defect detecting device 102 includes: first camera 1201 and second camera 1202;First camera 1201 is arranged In the top of detection platform, the detection platform is for carrying product to be detected;The product to be detected can be the machinery such as blade and add Work product or Ceramic manufacturing product.Second camera 1202 is set to the lower section of detection platform;The shooting of first camera 1201 The image of the upper surface of detected product, second camera 1202 are used to shoot the image of the lower surface of detected product.
Catching robot 101 is used under the control of control module 104 meet preset product from material platform to be detected crawl The product to be detected of type information, and the product to be detected is put to the image acquisition areas of the first camera 1201 of detection platform Behind domain, the image of the upper surface of triggering the first camera 1201 acquisition product.
The image of the upper surface of collected product is sent to control module 104 by first camera 1201;Control module 104 It whether there is defect according to the upper surface of the image detection product of the upper surface of the product, and export the first testing result.This is defeated The mode of the first testing result, which can be, out will test result and carries out showing to user in front-end interface.
Above-mentioned inspecting manipuator 103, for after 1201 Image Acquisition of first camera finishes, grabbing the product to The image acquisition region of two cameras 1202, triggering second camera 1202 acquire the image of the lower surface of product.
The image of the lower surface of collected product is sent to control module 104 by second camera 1202;Control module 104 It whether there is defect according to the upper surface of the image detection product of the lower surface of product, and export the second testing result.
In the possible embodiment of the application one, above-mentioned system, further includes: light source controller, first light source and the second light Source, first light source are connected with light source controller with second light source;Light source controller is connected with control module.
In the present embodiment, above-mentioned first light source is set to the lower section of first camera, and second light source is set to second camera Top;First light source and second light source are respectively used to the light filling when first camera and second camera carry out Image Acquisition.
In one embodiment of the application, above-mentioned control module be also used to according to the product type information of the product to be detected and The mapping relations of the luminance information of preset product type information and light source determine the bright of the corresponding light source of the product to be detected Information is spent, the luminance information of the light source is sent to light source controller, light source controller is used for according to the light-source brightness information Adjust the brightness of first light source and second light source.
Control module 104 is also used to product type information and preset product type information according to the product to be detected With the mapping relations of the depth of exposure of camera, the depth of exposure of the corresponding camera of product to be detected is determined, by the exposure of the camera Light path degree is sent to the first camera and the second camera, so that the first camera and the second camera are according to The depth of exposure of the corresponding camera of product to be detected adjusts exposure.
In the possible embodiment of the application one, third camera, catching robot are provided with above above-mentioned catching robot It is also used to after moving at material platform to be detected position, triggering third camera is acquired comprising all productions on material platform to be detected The image of product, and the image is sent to control module, control module determines the symbol for being included on material platform to be detected according to image The location information is sent to catching robot by the location information for closing the product to be detected of preset product type information, crawl Manipulator is used to grab product to be detected according to the location information.
In one possible embodiment, specifically, above-mentioned control module issues the first instruction to catching robot first, grab It carries out being moved to material platform to be detected after taking manipulator to receive first control instruction, is placed with production to be detected on material platform to be detected Product can be on the material platform to be detected and be placed with all types of products;Catching robot receive this first instruction after, Material platform to be detected is moved to, triggering third camera is taken pictures, the image of third camera acquisition testing material platform, is wrapped in the image Acquired image is sent to by the image containing the product consistent with the type information of above-mentioned product to be detected, third camera Control module.User passes through the type information for the product for selecting setting to be detected on the display interface of front end, control Module identifies that the product consistent with the type information of preset product to be detected, the product are product to be detected first, control After molding block identifies the product to be detected, the location information of the product in the picture is further determined that, then turned by coordinate It changes, determines that this meets the actual position information of the product to be detected of preset product type information, by the reality of the product to be detected Border location information is sent to catching robot, and then catching robot grabs the production to be detected according to the physical location letter information Product are placed in the image acquisition region of first camera.
In above-described embodiment, product to be detected is divided previously according to surface brightness, the type for the defect that may have etc. Class, the different type information determine the exposure in the brightness and camera for carrying out light source when taking pictures in detection process to the product Luminosity.
In the possible embodiment of the application one, above-mentioned control module is also used to, and is examined according to the first testing result and second Survey result and determine the quality grade of product, according to the quality grade of product determine product belonging to material storage dish, and will be belonging to product Material storage dish information be sent to inspecting manipuator, the inspecting manipuator is used for according to the material storage dish information, by the product It places in the material storage dish.
In the embodiment of the present application, control module is previously stored with product hierarchy and stores the corresponding relationship of charging tray information, Determine that the product hierarchy of product later can be according to pair of the product hierarchy and above-mentioned product hierarchy and storage charging tray information It should be related to, determine charging tray information belonging to the product, and then the product can be piled up to corresponding storage charging tray, be realized The automatic classification of product.
In one embodiment of the application, above-mentioned control module, specifically for being carried out in the following manner according to the product The upper surface of product described in the image detection of upper surface whether there is defect:
Control module receives the image of the upper surface of the product, and calling pre-establishes and trained neural network mould Type, according to the image of the upper surface of test parameter set by user, defect threshold value and the product, by neural network model into Defects detection result is calculated in row;Wherein, the test parameter includes: batch size numerical value and image cutting numerical value.
In the present embodiment, defect whether there is according to the upper surface of product described in the image detection of the upper surface of the product Process it is same as described above.
Above-mentioned first testing result and second testing result include the following information content: the position of defect, defect The shape of size and defect, and the product according to determined by the shape of the position of the defect, the size of defect and defect Class information.
In one embodiment of the application, above system further include: alarming device, the alarming device and the control module phase Connection;
The control module is also used to count the quantity for having defective product within a preset period of time, super in the quantity The alarming device is triggered when crossing preset value to alarm.
The type information of the product detected can be stored into system in the present embodiment, be existed in staff in advance When needing to detect certain type of product, product type selection is carried out first on interface, in the production for selecting pending detection After the type information of product, the type information for the product that control module is selected according to user generates the first above-mentioned control instruction.
In the possible embodiment of the application one, above-mentioned control module can be including industrial personal computer and carry out image procossing Processor.The processor is specifically used for being detected according to the image of upper surface and the image of product lower surface of above-mentioned product The upper and lower surfaces of the product whether there is defect, which includes: crackle, notch, burr etc..
Fig. 2 is a kind of flow diagram of method for detecting surface defects of products provided by the embodiments of the present application.Referring to Fig. 2 institute Show, this method includes the following steps S201-S206:
Step S201, catching robot meets preset product class from material platform to be detected crawl under the control of control module The product to be detected of type information is put to the lower section of the first camera of detection platform.
Step S202, the image of the upper surface of the collected product is sent to control module by the described first camera.
Step S203, the upper surface of described control module product according to the image detection of the upper surface of the product is No existing defects, and export the first testing result.
Step S204, inspecting manipuator grabs the product to second after the first camera Image Acquisition finishes After detection zone corresponding to camera, the image that the second camera acquires the lower surface of the product is triggered.
Step S205, the image of the lower surface of the collected product is sent to the control mould by the described second camera Block.
Step S206, the upper surface of described control module product according to the image detection of the lower surface of the product is No existing defects, and export the second testing result.
In one optional embodiment of the application, the above method, further includes:
Control module is also according to the product type information of the product to be detected and preset product type information and light source Luminance information mapping relations, the luminance information of the corresponding light source of the product to be detected is determined, by the brightness of the light source Information is sent to light source controller, and light source controller adjusts the bright of first light source and second light source according to the light-source brightness information Degree.So that first light source and second light source according to the luminance information to first camera and second camera the light filling in Image Acquisition.
In one optional embodiment of the application, the above method, further includes:
Control module 104 is according to the product type information of the product to be detected and preset product type information and camera Depth of exposure mapping relations, the depth of exposure of the corresponding camera of product to be detected is determined, by the depth of exposure of the camera It is sent to the first camera and the second camera, the first camera and the second camera are according to the product to be detected The depth of exposure of corresponding camera adjusts exposure.
In one optional embodiment of the application, the above method, further includes:
After moving at material platform to be detected position, triggering third camera is acquired comprising material to be detected catching robot The image of all products on platform, and the image is sent to control module;
Control module determines that included on material platform to be detected meets the to be checked of preset product type information according to image The location information is sent to catching robot by the location information for surveying product, and catching robot is grabbed according to the position letter information Product to be detected to detection platform is detected.
In one optional embodiment of the application, the above method, further includes:
Above-mentioned control module determines the quality grade of product according to the first testing result and the second testing result, according to production The quality grade of product determines material storage dish belonging to product, and material storage dish information belonging to product is sent to inspecting manipuator, institute Inspecting manipuator is stated for according to the material storage dish information, the product to be placed in the material storage dish.
In one optional embodiment of the application, the above method, further includes:
Control module receives the image of the upper surface of the product, and calling pre-establishes and trained neural network mould Type, according to the image of the upper surface of test parameter set by user, defect threshold value and the product, by neural network model into Defects detection result is calculated in row;Wherein, the test parameter includes: batch size numerical value and image cutting numerical value.
In one optional embodiment of the application, the above method, further includes:
The control module is also used to count the quantity for having defective product within a preset period of time, super in the quantity The alarming device is triggered when crossing preset value to alarm.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
In the description of the present invention, it should be noted that term " center ", "upper", "lower", "left", "right", "vertical", The orientation or positional relationship of the instructions such as "horizontal", "inner", "outside" is to be based on the orientation or positional relationship shown in the drawings, or be somebody's turn to do Invention product using when the orientation or positional relationship usually put, be merely for convenience of description of the present invention and simplification of the description, without It is that the device of indication or suggestion meaning or element must have a particular orientation, be constructed and operated in a specific orientation, therefore not It can be interpreted as limitation of the present invention.In addition, term " first ", " second ", " third " etc. are only used for distinguishing description, and cannot manage Solution is indication or suggestion relative importance.
In the description of the present invention, it is also necessary to which explanation is unless specifically defined or limited otherwise, term " setting ", " installation ", " connected ", " connection " shall be understood in a broad sense, for example, it may be fixedly connected, may be a detachable connection or one Connect to body;It can be mechanical connection, be also possible to be electrically connected;It can be directly connected, it can also be indirect by intermediary It is connected, can be the connection inside two elements.For the ordinary skill in the art, on being understood with concrete condition State the concrete meaning of term in the present invention.
Finally, it should be noted that embodiment described above, only a specific embodiment of the invention, to illustrate the present invention Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair It is bright to be described in detail, those skilled in the art should understand that: anyone skilled in the art In the technical scope disclosed by the present invention, it can still modify to technical solution documented by previous embodiment or can be light It is readily conceivable that variation or equivalent replacement of some of the technical features;And these modifications, variation or replacement, do not make The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention.Should all it cover in protection of the invention Within the scope of.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. a kind of detection system of surface defects of products characterized by comprising
Catching robot, inspecting manipuator, control module and defect detecting device, the catching robot, inspecting manipuator are equal It is connected with the control module;
The defect detecting device includes: first camera and second camera;The first camera is set to the top of detection platform, The second camera is set to the lower section of detection platform;The image of the first camera upper surface of shooting detected product, The second camera is used to shoot the image of the lower surface of the detected product;
The catching robot is used under the control of the control module meet preset product class from material platform to be detected crawl The product to be detected of type information, and the product to be detected is put to the lower section of the first camera of detection platform, trigger institute State the image that the first camera acquires the upper surface of the product;
The image of the upper surface of the collected product is sent to the control module by the first camera;The control mould The upper surface of product described in image detection of the root tuber according to the upper surface of the product whether there is defect, and export the first detection knot Fruit;
The inspecting manipuator, for grabbing the product to second camera after the first camera Image Acquisition finishes After the detection zone at place, the image that the second camera acquires the lower surface of the product is triggered;
The image of the lower surface of the collected product is sent to the control module by the second camera;The control mould The upper surface of product described in image detection of the root tuber according to the lower surface of the product whether there is defect, and export the second detection knot Fruit.
2. system according to claim 1, which is characterized in that further include: light source controller, first light source and the second light Source, the first light source are connected with the light source controller with the second light source;The light source controller and the control Molding block is connected;
The first light source is set to the lower section of the first camera, and the second light source is set to the upper of the second camera Side;The first light source and the second light source are respectively used to carry out Image Acquisition in the first camera and the second camera When light filling.
3. system according to claim 2, which is characterized in that be provided with third camera above the catching robot, institute It states catching robot to be also used to after moving at material platform to be detected position, triggers the third camera and be acquired comprising to be checked The image of material platform is surveyed, and described image is sent to control module, the control module determines described to be checked according to described image The location information for surveying the product to be detected for meeting preset product type information for being included on material platform, the location information is sent out It send to the catching robot, the catching robot is used to grab the product to be detected according to the position letter information.
4. system according to claim 1, which is characterized in that the control module is also used to, according to first detection As a result the quality grade that the product is determined with second testing result, determines the production according to the quality grade of the product Material storage dish belonging to product, and material storage dish information belonging to the product is sent to inspecting manipuator, the inspecting manipuator is used According to the material storage dish information, the product is placed in the material storage dish.
5. the system according to 1, which is characterized in that the control module, specifically for being carried out in the following manner according to institute The upper surface of product described in the image detection of the upper surface of product is stated with the presence or absence of defect:
The control module receives the image of the upper surface of the product, and calling pre-establishes and trained neural network mould Type is calculated according to test parameter set by user, defect threshold value and described image by the neural network model Defects detection result;Wherein, the test parameter includes: batch size numerical value and image cutting numerical value.
6. system according to claim 1, which is characterized in that first testing result and the second testing result packet Containing the following information content: the position of defect, the size of defect and defect shape, and the position according to the defect, defect Size and defect shape determined by product class information.
7. system according to claim 2, which is characterized in that the control module is also used to according to the product to be detected Product type information and preset product type information and light source luminance information mapping relations, determine the production to be detected The luminance information of the light source is sent to light source controller by the luminance information of the corresponding light source of product, and the light source controller is used In the brightness for adjusting first light source and second light source according to the light-source brightness information.
8. system according to claim 1, which is characterized in that the control module is also used to according to the product to be detected Product type information and preset product type information and camera depth of exposure mapping relations, determine the production to be detected The depth of exposure of the camera is sent to the first camera and the second camera by the depth of exposure of the corresponding camera of product, So that the first camera and the second camera adjust exposure according to the depth of exposure of the corresponding camera of the product to be detected.
9. system according to claim 1, which is characterized in that further include: alarming device, the alarming device and the control Molding block is connected;
The control module is also used to count the quantity for having defective product within a preset period of time, is more than pre- in the quantity If triggering the alarming device when value to alarm.
10. a kind of detection method of surface defects of products characterized by comprising
Catching robot meets the to be checked of preset product type information from material platform to be detected crawl under the control of control module Product is surveyed to put to the lower section of the first camera of detection platform;
The image of the upper surface of the collected product is sent to control module by the first camera;
The upper surface of control module product according to the image detection of the upper surface of the product whether there is defect, and Export the first testing result;
Inspecting manipuator grabs inspection corresponding to the product to second camera after the first camera Image Acquisition finishes After surveying region, the image that the second camera acquires the lower surface of the product is triggered;
The image of the lower surface of the collected product is sent to the control module by the second camera;
The upper surface of control module product according to the image detection of the lower surface of the product whether there is defect, and Export the second testing result.
CN201811253443.6A 2018-10-25 2018-10-25 A kind of detection system and method for surface defects of products Pending CN109406533A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811253443.6A CN109406533A (en) 2018-10-25 2018-10-25 A kind of detection system and method for surface defects of products

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811253443.6A CN109406533A (en) 2018-10-25 2018-10-25 A kind of detection system and method for surface defects of products

Publications (1)

Publication Number Publication Date
CN109406533A true CN109406533A (en) 2019-03-01

Family

ID=65470129

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811253443.6A Pending CN109406533A (en) 2018-10-25 2018-10-25 A kind of detection system and method for surface defects of products

Country Status (1)

Country Link
CN (1) CN109406533A (en)

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110102511A (en) * 2019-05-23 2019-08-09 北京阿丘机器人科技有限公司 A kind of vision detection system and method for product appearance
CN110142230A (en) * 2019-05-23 2019-08-20 北京阿丘机器人科技有限公司 A kind of method and device detecting open defect
CN110186938A (en) * 2019-06-28 2019-08-30 笪萨科技(上海)有限公司 Two-sided defect analysis equipment and defects detection and analysis system
CN110501347A (en) * 2019-07-03 2019-11-26 深圳市一纳科技有限公司 A kind of rapid automatized Systems for optical inspection and method
CN110673319A (en) * 2019-09-29 2020-01-10 江苏才道精密仪器有限公司 Microscope laser repair system and device capable of automatically adjusting light source
CN111311542A (en) * 2020-01-15 2020-06-19 歌尔股份有限公司 Product quality detection method and device
CN111598152A (en) * 2020-05-12 2020-08-28 北京阿丘机器人科技有限公司 Visual system reproduction method, apparatus and computer-readable storage medium
CN111693546A (en) * 2020-06-16 2020-09-22 湖南大学 Defect detection system, method and image acquisition system
CN112730421A (en) * 2019-10-14 2021-04-30 富泰华工业(深圳)有限公司 Appearance flaw detection device
CN112730419A (en) * 2019-10-14 2021-04-30 富泰华工业(深圳)有限公司 Appearance flaw detection device
CN112730420A (en) * 2019-10-14 2021-04-30 富泰华工业(深圳)有限公司 Appearance flaw detection station
CN113177925A (en) * 2021-05-11 2021-07-27 昆明理工大学 Method for nondestructive detection of fruit surface defects
CN113189009A (en) * 2021-05-17 2021-07-30 石家庄格力电器小家电有限公司 System for detecting surface treatment quality of smoke collecting hood
CN113409308A (en) * 2021-07-16 2021-09-17 李华洲 Circuit board fault defect detection method, device, detection equipment and system
CN113567443A (en) * 2021-06-22 2021-10-29 浙江大豪科技有限公司 Control method and device of fabric flaw detection system
CN113744247A (en) * 2021-09-03 2021-12-03 西安建筑科技大学 PCB welding spot defect identification method and system
CN115744254A (en) * 2022-11-24 2023-03-07 臻越自动化技术(上海)有限公司 Door plant automated inspection conveyor
CN116609345A (en) * 2023-07-19 2023-08-18 北京阿丘机器人科技有限公司 Battery cover plate defect detection method, device, equipment and storage medium

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07311160A (en) * 1994-05-19 1995-11-28 Nitto Denko Corp Method and device for preforming visual inspection
CN1501434A (en) * 2002-11-14 2004-06-02 旺宏电子股份有限公司 Quick warning system and method for continuous abnormal faults
DE102004015110A1 (en) * 2004-03-27 2005-10-13 Texmag Gmbh Vertriebsgesellschaft Detection apparatus for detecting defects in joints of sheet pieces, has source(s) of electromagnetic non-unidirectional radiations, and one or more sensors that make two-dimensional detection of reflected or refracted radiation
CN102033068A (en) * 2009-09-24 2011-04-27 苏州维世迅机器视觉技术有限公司 Product on-line detector
CN202694534U (en) * 2012-08-02 2013-01-23 东莞利扬微电子有限公司 Yield warning device
CN203526088U (en) * 2013-11-07 2014-04-09 珠海格力电器股份有限公司 Detection device for electronic components
CN104516305A (en) * 2013-10-08 2015-04-15 繁昌县倍思创业服务有限公司 Method for detecting weights of products and treating sub-quality products
CN104624523A (en) * 2013-11-07 2015-05-20 珠海格力电器股份有限公司 Electronic component detection device and electronic component automatic detection method
CN105606625A (en) * 2016-02-03 2016-05-25 宁波韵升智能技术有限公司 Appearance defect detection equipment for flake strip-shaped products
CN206155906U (en) * 2016-10-10 2017-05-10 广州敏达包装设备有限公司 Non -contact beats equipment of examining in vacuum
CN107271447A (en) * 2017-07-27 2017-10-20 江南大学 A kind of PLC outward appearances and LED status detection means based on machine vision
CN108038853A (en) * 2017-12-18 2018-05-15 浙江工业大学 A kind of ceramic tile surface defect identification method based on convolutional neural networks and Active Learning
CN108188043A (en) * 2017-12-25 2018-06-22 中国科学院自动化研究所 The appearance detecting device and appearance detecting method of lithium battery electric core
CN108631727A (en) * 2018-03-26 2018-10-09 河北工业大学 A kind of solar panel defect identification method based on convolutional neural networks

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07311160A (en) * 1994-05-19 1995-11-28 Nitto Denko Corp Method and device for preforming visual inspection
CN1501434A (en) * 2002-11-14 2004-06-02 旺宏电子股份有限公司 Quick warning system and method for continuous abnormal faults
DE102004015110A1 (en) * 2004-03-27 2005-10-13 Texmag Gmbh Vertriebsgesellschaft Detection apparatus for detecting defects in joints of sheet pieces, has source(s) of electromagnetic non-unidirectional radiations, and one or more sensors that make two-dimensional detection of reflected or refracted radiation
CN102033068A (en) * 2009-09-24 2011-04-27 苏州维世迅机器视觉技术有限公司 Product on-line detector
CN202694534U (en) * 2012-08-02 2013-01-23 东莞利扬微电子有限公司 Yield warning device
CN104516305A (en) * 2013-10-08 2015-04-15 繁昌县倍思创业服务有限公司 Method for detecting weights of products and treating sub-quality products
CN203526088U (en) * 2013-11-07 2014-04-09 珠海格力电器股份有限公司 Detection device for electronic components
CN104624523A (en) * 2013-11-07 2015-05-20 珠海格力电器股份有限公司 Electronic component detection device and electronic component automatic detection method
CN105606625A (en) * 2016-02-03 2016-05-25 宁波韵升智能技术有限公司 Appearance defect detection equipment for flake strip-shaped products
CN206155906U (en) * 2016-10-10 2017-05-10 广州敏达包装设备有限公司 Non -contact beats equipment of examining in vacuum
CN107271447A (en) * 2017-07-27 2017-10-20 江南大学 A kind of PLC outward appearances and LED status detection means based on machine vision
CN108038853A (en) * 2017-12-18 2018-05-15 浙江工业大学 A kind of ceramic tile surface defect identification method based on convolutional neural networks and Active Learning
CN108188043A (en) * 2017-12-25 2018-06-22 中国科学院自动化研究所 The appearance detecting device and appearance detecting method of lithium battery electric core
CN108631727A (en) * 2018-03-26 2018-10-09 河北工业大学 A kind of solar panel defect identification method based on convolutional neural networks

Cited By (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110102511A (en) * 2019-05-23 2019-08-09 北京阿丘机器人科技有限公司 A kind of vision detection system and method for product appearance
CN110142230A (en) * 2019-05-23 2019-08-20 北京阿丘机器人科技有限公司 A kind of method and device detecting open defect
CN110186938A (en) * 2019-06-28 2019-08-30 笪萨科技(上海)有限公司 Two-sided defect analysis equipment and defects detection and analysis system
CN110501347A (en) * 2019-07-03 2019-11-26 深圳市一纳科技有限公司 A kind of rapid automatized Systems for optical inspection and method
CN110673319A (en) * 2019-09-29 2020-01-10 江苏才道精密仪器有限公司 Microscope laser repair system and device capable of automatically adjusting light source
US11645742B2 (en) 2019-10-14 2023-05-09 Fu Tai Hua Industry (Shenzhen) Co., Ltd. Electronic device for optically detecting appearance of product for defects
CN112730420B (en) * 2019-10-14 2024-02-20 富泰华工业(深圳)有限公司 Appearance flaw detection workstation
CN112730421A (en) * 2019-10-14 2021-04-30 富泰华工业(深圳)有限公司 Appearance flaw detection device
CN112730419A (en) * 2019-10-14 2021-04-30 富泰华工业(深圳)有限公司 Appearance flaw detection device
CN112730420A (en) * 2019-10-14 2021-04-30 富泰华工业(深圳)有限公司 Appearance flaw detection station
CN112730419B (en) * 2019-10-14 2024-01-09 富泰华工业(深圳)有限公司 Appearance flaw detection device
CN112730421B (en) * 2019-10-14 2024-01-09 富泰华工业(深圳)有限公司 Appearance flaw detection device
CN111311542A (en) * 2020-01-15 2020-06-19 歌尔股份有限公司 Product quality detection method and device
CN111311542B (en) * 2020-01-15 2023-09-19 歌尔股份有限公司 Product quality detection method and device
CN111598152A (en) * 2020-05-12 2020-08-28 北京阿丘机器人科技有限公司 Visual system reproduction method, apparatus and computer-readable storage medium
CN111693546A (en) * 2020-06-16 2020-09-22 湖南大学 Defect detection system, method and image acquisition system
CN113177925B (en) * 2021-05-11 2022-11-11 昆明理工大学 Method for nondestructive detection of fruit surface defects
CN113177925A (en) * 2021-05-11 2021-07-27 昆明理工大学 Method for nondestructive detection of fruit surface defects
CN113189009A (en) * 2021-05-17 2021-07-30 石家庄格力电器小家电有限公司 System for detecting surface treatment quality of smoke collecting hood
CN113567443A (en) * 2021-06-22 2021-10-29 浙江大豪科技有限公司 Control method and device of fabric flaw detection system
CN113409308A (en) * 2021-07-16 2021-09-17 李华洲 Circuit board fault defect detection method, device, detection equipment and system
CN113744247A (en) * 2021-09-03 2021-12-03 西安建筑科技大学 PCB welding spot defect identification method and system
CN115744254A (en) * 2022-11-24 2023-03-07 臻越自动化技术(上海)有限公司 Door plant automated inspection conveyor
CN115744254B (en) * 2022-11-24 2023-12-26 臻越自动化技术(上海)有限公司 Automatic door plate detection and conveying device
CN116609345A (en) * 2023-07-19 2023-08-18 北京阿丘机器人科技有限公司 Battery cover plate defect detection method, device, equipment and storage medium
CN116609345B (en) * 2023-07-19 2023-10-17 北京阿丘机器人科技有限公司 Battery cover plate defect detection method, device, equipment and storage medium

Similar Documents

Publication Publication Date Title
CN109406533A (en) A kind of detection system and method for surface defects of products
CN110383038B (en) System and method for automated analysis of air samples
JP6705777B2 (en) Machine learning device, inspection device and machine learning method
CN100520377C (en) Multi vision hollow bottle detection robot
JP5707399B2 (en) Microorganism detection method, microorganism detection apparatus, and program
CN204479490U (en) A kind of laser marking On-line Product testing and analysis system
CN108846841A (en) Display screen quality determining method, device, electronic equipment and storage medium
CN108982514A (en) A kind of bionical vision detection system of casting surface defect
CN102529019B (en) Method for mould detection and protection as well as part detection and picking
AU689547B2 (en) Apparatus and method for inspecting hot glass containers
CN102967586B (en) Device for online automatically classifying pearl color and gloss based on monocular multi-view machine vision
WO2005124316A2 (en) Method and apparatus for configuring and testing a machine vision detector
CN111862083A (en) Comprehensive monitoring system and method for steel wire rope state based on vision-electromagnetic detection
CN103307989A (en) Device and method for measuring internal and external diameters of transparent glass bottleneck based on machine vision
CN108993917A (en) A kind of quality detecting system of microsprings, method and device
JP2022507678A (en) Optimization of setup stage in automated visual inspection process
CN106706656A (en) Machine vision-based zipper detection device and method
CN105891228A (en) Optical fiber appearance defect detecting and outer diameter measuring device based on machine vision
CN108038510A (en) A kind of detection method based on doubtful flame region feature
CN101696943A (en) On-line detection method of machine vision system to medical surgical knife flaws
Chao et al. Design of a dual-camera system for poultry carcasses inspection
CN104766310B (en) light source detection system and detection method
CN101696877A (en) On-line detection method of machine vision system to spring verticality
CN116441190A (en) Longan detection system, method, equipment and storage medium
CN111524136A (en) Boxing abnormality detection system and method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20190301

RJ01 Rejection of invention patent application after publication