WO2020113718A1

WO2020113718A1 - Machine vision-based camera module focusing flow line and method therefor

Info

Publication number: WO2020113718A1
Application number: PCT/CN2018/124090
Authority: WO
Inventors: 彭刚; 王震; 赖国明; 谢尔盖·斯里连科; 亚历山大·罗科夫
Original assignee: 惠州学院
Priority date: 2018-12-05
Filing date: 2018-12-26
Publication date: 2020-06-11
Also published as: CN109719056A

Abstract

A machine vision-based camera module focusing flow line and a method therefor. The production flow line mainly relates to a feeding device (10), a focusing device (20), a sorting device (30), a finished product processing device (40) and a discharging device (50) which are provided in sequence according to the production flow line, the focusing device (20) being integrated with an automatic detection system (21) electrically connected to the finished product processing device (40) and the discharging device (50). Further provided is a corresponding camera module focusing method. Said flow line and said focusing method replace manual detection with a focusing device, use an automatic detection system to determine whether a product is an accepted product, and realize automatic sorting, improving the working efficiency and yield of the flow line.

Description

Camera module focusing pipeline and method based on machine vision

Technical field

The invention relates to the technical field of machine vision, and in particular to a camera module focusing pipeline based on machine vision and a method thereof.

Background technique

Machine vision is a branch of rapid development of artificial intelligence. In simple terms, machine vision is the process of measuring and judging by replacing the human eye with a machine. The machine vision system uses machine vision products (that is, image pickup devices, including CMOS and CCD) to convert the captured objects into image signals and transmits them to a dedicated image processing system to obtain the morphological information of the captured objects. According to the pixel distribution and The information such as brightness and color is converted into a digital signal; the graphics system performs various operations on the digital information to extract the characteristics of the target, and then controls the operation of the equipment on the spot according to the result of the discrimination.

The existing camera module production line needs to manually complete the steps of feeding, dividing, and testing the quality of the finished board and corresponding processing steps. However, due to the large amount of manpower invested in this method, the production cost of the camera module is high and the production efficiency is low. And it is difficult to ensure the quality of production.

Summary of the invention

The present invention is to provide a camera module focusing pipeline based on machine vision, which solves the problems that most of the steps of the existing camera module production pipeline are performed by manpower, which leads to low production efficiency, difficult product quality assurance and high production cost.

The invention proposes a camera module focusing pipeline based on machine vision, which includes a feeding device, a focusing device, a sorting device, a finished product processing device and a discharging device which are set up in the order of the production line; the focusing device is integrated An automatic detection system that electrically connects the finished product processing device and the unloading device; the loading device is used to load the camera module onto the focusing device; the focusing device is used to After the camera module adjusts the focus, the quality of the camera module is detected by the automatic detection system, the detection data is generated and stored in the server, and the detection result in the detection data is sent to the sorting device; the sorting device , Used to sort the camera module that passes the inspection on the focusing device to the finished product processing device based on the received detection result, and sorts the failed product to the defective product box; the finished product The processing device is used for processing the sorted camera module; the blanking device is used for discharging the camera module after the processing to the finished product box.

Preferably, the feeding device includes a feeding machine, a plate separating machine and a feeding manipulator that are set up in the order of the production line; the feeding machine is used to receive the camera module placed therefrom; the plate separating machine , Used to divide the camera module on the loading machine, which is convenient for the loading manipulator to grasp; the loading manipulator is used to grasp the loading machine after the board processing The camera module is placed on the focusing device.

Preferably, a camera is integrated on the focusing device for obtaining the position of the camera module, so that the focusing device can adjust the focus of the camera module.

Preferably, the finished product processing device includes a dispenser, a blanking manipulator and a UV dryer set up in order of the production line; the dispenser is used to dispense the sorted camera module The blanking manipulator is used for blanking the camera module after the dispensing process to the UV dryer; the UV dryer is used for blanking the camera The module performs a light source drying process, and the camera module after the light source drying process is discharged into the finished product box by the discharging device.

Preferably, each camera module carries its own unique identification information; the detection data stored in the server includes the identification information of each camera module that passes the test; the user searches through the server Whether the identification information that is consistent with the identification information carried by the camera module is stored is checked.

The invention also provides a camera module focusing method based on machine vision, which includes the following steps: S1, preset a camera module to be processed; S2, focus the camera module and detect the quality of the camera module to generate Test data with test results; S3, save the test data in the server; S4, sort out the qualified camera module and the unqualified camera module according to the test results, and the unqualified The camera module is sorted to a defective material box; S5, the qualified camera module is processed; S6, the processed camera module is discharged to the finished material box.

Preferably, the step S1 includes step S11, setting the camera module; S12, dividing the camera module into boards; S13, resetting the camera module after the board processing, and waiting for focusing.

Preferably, the step S5 includes a step S51 to dispense the sorted camera modules; S52 to dry the camera module after the dispensing process.

Preferably, in the step S13, the camera module after the boarding process carries its own unique identification information; in the step S3, the detection data includes the location of each qualified camera module The identification information; after step S6, step S7 is set, and the detection information corresponding to the camera module can be searched in the server through the identification information.

From the above, the following beneficial effects can be obtained by applying the technical solution provided by the present invention:

First, the camera module focusing pipeline based on machine vision proposed by the present invention mainly uses a focusing device instead of manual detection, and uses an automatic detection system to determine whether the current camera module meets the requirements, and according to the detection results, the camera modules are respectively good With the defective products, the good products and the defective products can be transported to different bins through the sorting device, so that the camera module production line proposed by the present invention has high working efficiency and greatly improves the excellent product rate of the camera module;

Second, the present invention uses an automatic detection system to enable the camera to realize the automatic focusing function, that is, the camera can adjust the focal length according to the different placement positions of the camera module to detect the quality of the camera module to ensure accurate camera module detection results and improve the camera Product testing accuracy rate of module production line;

Third, a camera module focusing method based on machine vision proposed by the present invention automatically detects whether the camera module is a good product or a bad product according to the quality of the camera module by detecting the quality of the camera module, which improves the efficiency of producing the camera module on the assembly line .

BRIEF DESCRIPTION

In order to more clearly explain the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, without paying any creative labor, other drawings can be obtained based on these drawings.

FIG. 1 is a system block diagram of a camera module focusing pipeline according to an embodiment of the present invention;

FIG. 2 is a flowchart of a camera module focusing method according to an embodiment of the present invention.

detailed description

The technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only partial embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art without paying any creative work fall within the protection scope of the present invention.

Most steps of the existing camera module production line are carried out by manpower, which will lead to the problems of low production efficiency, difficult product quality assurance and high production cost.

As shown in FIG. 1, in order to solve the above problems, this embodiment proposes a camera module focusing pipeline based on machine vision and a method thereof, wherein the production pipeline includes a feeding device 10, a focusing device 20, and a sorting device 30 , The finished product processing device 40 and the unloading device 50, and are arranged in sequence according to the production line; wherein, the focusing device 20 is integrated with an automatic detection system 21 electrically connecting the finished product processing device 40 and the unloading device 50; the unloading device 10, It is used to feed the camera module to the focusing device 20; the focusing device 20 is used to detect the quality of the camera module through the automatic detection system 21 after focusing, generate the detection data and save it in the server 60, and store the detection The detection result in the data is sent to the sorting device 30 separately; the sorting device 30 is used to sort the camera module that is located on the focusing device 20 according to the received detection result and passes the inspection to the finished product processing device 40, and then detects The unqualified camera module is sorted to the defective material box; the finished product processing device 40 processes the sorted camera module; the unloading device 50 is used to unload the processed camera module with the finished product box .

In this embodiment, the loading device 10, the focusing device 20, the sorting device 30, the finished product processing device 40, and the unloading device 50 are sequentially arranged to move, detect, and process the camera module in sequence. The camera module production line uses machine vision to complete the camera module production and detection steps, which improves the production efficiency of the camera module production line in this embodiment, and avoids the manual detection of the quality of the camera module, ensuring that the camera module detection can obtain accurate Test results, and according to the test results can accurately sort good products and bad products.

Among them, the feeding device 10 includes a feeding machine 11, a boarding machine 12 and a feeding manipulator 13, and the feeding machine 11, the boarding machine 12 and the feeding manipulator 13 are set according to the process sequence of the assembly line; the feeding machine 11, It is used to accept the placed camera module; the board separator 12 is used to divide the camera module on the loading machine 11 to facilitate the handling of the loading robot 13; the loading robot 13 is used to grasp the loading The camera module on the machine 11 and after the board separation process, and the camera module is placed on the focusing device 20.

In this embodiment, the loading device 10 further includes a board splitter 12, that is, the substrate is cut, so that the camera module formed after cutting meets the user's requirements. At the same time, the original camera module is divided into two. The divided camera module needs to be separately entered into the feeding machine, so the feeding robot 13 is provided. At the same time, the production line of the camera module in this embodiment is further expanded to complete the cutting action of the camera module, which is helpful to expand the application field and technical effect of the production line of the camera module in this embodiment.

A camera 22 is integrated on the focusing device 20 in this embodiment; the setting of the camera 22 is used to obtain the position of the camera module, so that the focusing device 20 can focus the camera module. The camera 22 on the focusing device 20 serves as the core of the machine vision in this embodiment, and it completes the step of detecting the camera module, which can realize automatic focusing of the camera module and is combined with the automatic detection system 21 to generate The detection data greatly improves the detection efficiency of the camera module production line in this embodiment.

The finished product processing device 40 includes a dispenser 41, a blanking manipulator 42 and a UV dryer 43, and the dispenser 41, the blanking manipulator 42 and the UV dryer 43 are arranged in the order of the production line; the dispenser 41 is used for In order to dispense the sorted camera modules; the unloading manipulator 42 is used to unload the dispensed camera module to the UV dryer 43; the UV dryer 43 is used for unloading The camera module to be subjected to the light source drying process, the camera module after the drying process is discharged by the discharging device 50 to the finished product box.

In this embodiment, the camera module that has completed the inspection and the qualified camera module is further processed as finished products, that is, dispensing and drying treatment is performed to ensure that the camera module passing through the finished product processing device 40 is further processed to form a structure A complete camera module that meets user needs.

In particular, any camera module in this embodiment carries its own unique identification information; the detection data stored in the server 60 also contains the identification information of each qualified camera module; the user can use the server 60. Retrieve based on the identification information on the camera module. If consistent identification information is retrieved, the camera module is guaranteed to be a good-quality camera module that has passed the test.

As shown in FIG. 2, this embodiment also proposes a camera module focusing method based on machine vision, which mainly includes the following steps:

S1, preset the camera module to be processed;

S2, focus on the camera module and check the quality of the camera module, and produce test data with test results;

S3, save the detection data on the server;

S4, sort out the qualified camera module and the unqualified camera module according to the detection result, and sort the unqualified camera module to the defective material box;

S5, processing the qualified camera module;

S6: Unload the processed camera module to the finished material box.

Among them, step S1 specifically includes steps: S11, setting the camera module; S12, dividing the camera module into boards; S13, resetting the camera module after dividing the board, waiting for focus detection.

In step S5, it specifically includes steps: S51, performing dispensing processing on the sorted camera module; S52, performing light source drying processing on the camera module after dispensing processing.

Among them, in step S13, the camera module processed by the board carries its own unique identification information; in step S3, the detection data should also include each camera module's own identification information; after step S6, step S7 is also provided Through the identification information, the server is searched for whether there is corresponding identification information, and if so, the detection data of the camera module can be further obtained.

In this embodiment, the camera module production method mainly focuses on the camera and the automatic detection system in the focusing device, and uses machine vision to replace the manual production, manufacturing, and inspection of the camera module's assembly line work, which helps to improve this embodiment. The production efficiency of the camera module and ensure the quality of the camera module produced by the camera module production line in this embodiment.

In summary, the camera module focusing pipeline and its method based on machine vision proposed in this embodiment mainly use machine equipment to replace the manual production of the camera module and complete the detection work of the camera module, which improves the production efficiency of the camera module. Ensure the excellent product rate of the finished camera module, and improve the efficiency of detecting the camera module.

The above-mentioned embodiments do not constitute a limitation on the protection scope of the technical solution. Any modifications, equivalent replacements and improvements made within the spirit and principles of the above-mentioned embodiments should be included in the protection scope of the technical solution.

Claims

A camera module focusing pipeline based on machine vision, which is characterized in that it includes a feeding device, a focusing device, a sorting device, a finished product processing device and a discharging device set up in sequence according to the production pipeline; the focusing device is integrated on the An automatic detection system electrically connected to the finished product processing device and the blanking device;

The loading device is used for loading the camera module onto the focusing device;

The focusing device is configured to detect the quality of the camera module through the automatic detection system after focusing the camera module, generate detection data and store it in the server, and send the detection result in the detection data to The sorting device;

The sorting device is used to sort the camera modules that pass the inspection on the focusing device to the finished product processing device based on the received detection results, and sort the camera modules that fail to be detected to Defective material box;

The finished product processing device is used to process the sorted camera module;

The unloading device is used to unload the camera module after the processing to the finished material box.
The camera module focusing assembly line based on machine vision according to claim 1, characterized in that: the feeding device includes a feeding machine, a board dividing machine and a feeding manipulator set up in the order of the production assembly line;

The feeder is used to accept the camera module placed therefrom;

The board separating machine is used for board separating processing of the camera module on the feeding machine, so as to facilitate the grasping of the loading manipulator;

The loading manipulator is used to grab the camera module on the loading machine after the board separation process, and place it on the focusing device.
The focusing line of a camera module based on machine vision according to claim 1, wherein:

A camera is integrated on the focusing device for acquiring the position of the camera module, so that the focusing device can adjust the focus of the camera module.
The camera module focusing assembly line based on machine vision according to claim 3, characterized in that: the finished product processing device includes a dispenser, a blanking manipulator and a UV dryer set up in the order of the production assembly line;

The dispenser is used to dispense the sorted camera module;

The unloading manipulator is used to unload the camera module after the dispensing process to the UV dryer;

The UV dryer is used to perform a light source drying process on the camera module that has been discharged, and the camera module after the light source drying process is discharged from the discharging device to the finished product In the bin.
The focusing line of a camera module based on machine vision according to claim 4, characterized in that each camera module carries its own unique identification information; the detection data stored in the server includes each detection The identification information of the qualified camera module; the user completes the inspection by searching in the server whether identification information consistent with the identification information carried by the camera module is stored.
A camera module focusing method based on machine vision is characterized by comprising the following steps:

S1, preset the camera module to be processed;

S2, focusing the camera module and detecting the quality of the camera module, and generating detection data with a detection result;

S3, save the detection data in the server;

S4, sort out the qualified camera module and the unqualified camera module according to the detection result, and sort the unqualified camera module to the defective material box;

S5, processing the qualified camera module;

S6: Unload the processed camera module to the finished product box.
A method for focusing a camera module based on machine vision according to claim 6, characterized in that, in the step S1, the following steps are included:

S11, setting the camera module;

S12: Divide the camera module into boards;

S13: Reset the camera module after the sub-board processing, and wait for focus detection.
A method for focusing a camera module based on machine vision according to claim 7, wherein in step S5, the method includes the following steps:

S51: Dispense the sorted camera module;

S52: Dry the light source of the camera module after the dispensing process.
The camera module focusing method based on machine vision according to claim 8, characterized in that: in the step S13, the camera module after the board division process carries its own unique identification information; In step S3, the detection data includes the identification information of each qualified camera module; after step S6, step S7 is set, and the identification information can be used to search the server for the corresponding The detection data of the camera module.