CN110880179A - Method for testing working state of visual sensor - Google Patents
Method for testing working state of visual sensor Download PDFInfo
- Publication number
- CN110880179A CN110880179A CN201911328411.2A CN201911328411A CN110880179A CN 110880179 A CN110880179 A CN 110880179A CN 201911328411 A CN201911328411 A CN 201911328411A CN 110880179 A CN110880179 A CN 110880179A
- Authority
- CN
- China
- Prior art keywords
- visual sensor
- component
- laser
- camera
- testing
- 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
Links
- 238000012360 testing method Methods 0.000 title claims abstract description 89
- 230000000007 visual effect Effects 0.000 title claims abstract description 63
- 238000000034 method Methods 0.000 title claims abstract description 40
- 230000008569 process Effects 0.000 claims description 14
- 230000002159 abnormal effect Effects 0.000 claims description 12
- 238000001514 detection method Methods 0.000 claims description 6
- 230000008859 change Effects 0.000 description 3
- 230000032683 aging Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 208000003464 asthenopia Diseases 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 230000035882 stress Effects 0.000 description 1
- 230000008719 thickening Effects 0.000 description 1
Images
Landscapes
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention discloses a method for testing the working state of a visual sensor, which comprises the following steps: fixing a visual sensor to be tested on a testing device, wherein a closed darkroom is formed in a cavity in the testing device; a target is arranged in the camera view field range of the vision sensor; according to the preset test flow, the camera is used for collecting the image of the target in the opening/closing state of the part I, the collected image and the standard image obtained in the corresponding state of the preset test flow at each moment are subjected to gray scale contrast analysis or template matching, whether the visual sensor works normally in each state is judged, and a record is formed.
Description
Technical Field
The invention relates to the field of sensor testing, in particular to a method for testing the working state of a visual sensor.
Background
The vision sensor acquires image information of a measured object by using a camera, analyzes the characteristics of the measured object according to the image information, such as defect detection, positioning identification and the like, is often provided with a light source and/or other measuring components (such as a laser and a projector) in order to meet the requirements of different measuring scenes, and when the production and assembly of the vision sensor are completed, whether the functions contained in the design specification of the vision sensor are complete needs to be checked; whether the stability of the matching state of the measuring component, the light source and the camera is qualified or not is measured, and the traditional testing method has the following defects:
firstly, manual testing:
the tester sends a single instruction to the sensor through the upper computer, then observes whether the state of the sensor is consistent with the state of the issued instruction, and after multiple tests, if no problem exists, the test is regarded as successful, the product is qualified, otherwise, the test fails, and the product is unqualified.
The disadvantages are as follows:
A. the single measurement needs about 30s, the efficiency is low, the time and the resources are wasted, and the cost is extremely high;
B. due to system limitation, a plurality of sensors are generally in series during testing, and the efficiency is low;
C. the test result is unreliable, the brightness change of the light source or the image quality is observed by naked eyes, testers with rich experience values are needed, the error is large, and misjudgment is easy to occur;
D. machine vision is commonly used as a strong light source or a laser, and although testers take protective measures, long-term testing can cause eye fatigue or damage;
E. the device performance and the device stability cannot be comprehensively detected, and the delivery risk is high;
secondly, semi-automatic open loop test:
the tester controls the sensor through the upper computer program, the upper computer software can continuously send instructions to the sensor and read back, the tester observes whether the instructions are executed in sequence and whether the instructions are executed successfully or not, after long-time testing, if the sensors can still execute the instructions correctly and the equipment peripheral equipment has no problem, the testing is regarded as successful in experiment, the product is qualified, otherwise, the experiment is failed, and the product is unqualified;
the disadvantages are as follows:
A. a tester cannot observe the instruction execution process in the whole process, cannot ensure that the sensor operates correctly in the test process, and the test does not reach a closed loop;
B. in the testing process, the change of devices such as a laser, a light source and the like can not be accurately judged, misjudgment is easy to generate, and the testing result is unreliable;
C. the device performance and the device stability cannot be comprehensively detected, and the delivery risk is high;
D. during precision testing, the accuracy of a test result is easily influenced by external environment, such as relative position deviation caused by collision and vibration, working distance not reaching a specified value, excessive ambient light interference and other factors;
E. during the test, the position and state of the feature point to be tested need to be adjusted repeatedly to reach the ideal state for testing.
Disclosure of Invention
In order to solve the problems, the invention provides a method for testing the working state of a visual sensor, which reduces the dependence of the testing process on personnel, eliminates the judgment error caused by subjective judgment and improves the reliability of the testing result.
The technical scheme is as follows:
a method for testing the working state of a visual sensor, wherein the measuring component of the visual sensor comprises: camera and component I, comprising the steps of:
1) fixing a visual sensor to be tested on a testing device, wherein a closed darkroom is formed in a cavity in the testing device; in the testing device, a target is arranged in a camera view field range of a visual sensor;
2) according to the preset test flow, a camera is used for collecting images of a target in an opening/closing state of a component I, the collected images and standard images obtained in the corresponding state of the preset test flow at all times are analyzed according to the following method, whether a visual sensor works normally in all states is judged, and records are formed:
when the component I is closed, comparing the image acquired by the camera with the gray level of the standard image in a corresponding state, and judging whether the visual sensor works normally;
when the component I is a light source, the component I is opened, the image acquired by the camera is matched with a standard image obtained in a corresponding state by a template, and whether the visual sensor works normally is judged according to the result;
when the component I is a laser, at least one characteristic point is arranged on a target, the component I is opened, and laser emitted by the laser at least passes through one characteristic point; the method comprises the steps that a picture acquired by a camera comprises preset characteristic points through which laser passes, the picture is subjected to template matching with a standard image in a corresponding state, and whether a visual sensor works normally or not is judged according to a matching result;
when the component I is a light source and a laser, the light source and the laser cannot be turned on simultaneously; at least one feature point on the target; the method comprises the steps that a light source or a laser is turned on, laser emitted by the laser at least passes through one characteristic point, a picture collected by a camera comprises a preset characteristic point through which the laser passes, the picture collected in the state is subjected to template matching with a standard image in a corresponding state, and whether a visual sensor works normally or not is judged according to a matching result.
Further, when the component I is a light source or a laser, the preset test process is as follows: the component I is turned on or off at preset sequence and time intervals, and the camera sequentially collects target images in various states;
when the component I is a light source and a laser, the preset test flow is as follows: the light source and the laser are respectively turned on or off according to preset time and sequence, and the camera correspondingly collects target images in different states.
Further, the vision sensor to be tested is fixed on the testing device, and when the working state is determined to be normal manually, images of the target under the state that the part I is opened or closed are respectively collected and stored to be used as standard images under different states; and then carrying out automatic detection according to the step 2).
Further, when the image acquired when the component I is opened is matched with the standard image in a template mode, the edge outline or the center of the feature point can be matched.
Further, when the component I is closed, comparing the image acquired by the camera with the gray level of the standard image in the corresponding state, calculating the difference value of the average gray level values of the corresponding positions on the two images, and if the difference value is smaller than the threshold I, judging that the working state of the vision sensor is normal at the moment; otherwise, judging the operation is abnormal;
the possible abnormal conditions at this time are: due to signal delay and system failure, the working state of the vision sensor is delayed, and the component I (a light source and a laser) is not turned off in time;
when the component I is opened, and the image acquired by the camera is matched with the standard image in a template mode, the matching degree is calculated by utilizing the mean gray difference sum of squares, if the matching degree is within the range of a preset threshold value, the visual sensor is judged to work normally, and if not, the visual sensor is judged to be abnormal.
At this time, the possible abnormal situations are: due to signal delay and system faults, the working state of the visual sensor is abnormal, and a measuring component I (a light source or a laser) is not started in time; the light source and the laser are aged and failed, the performance is unstable, and abnormal phenomena such as laser bar thickening, obvious LED brightness change and the like are generated.
In order to improve the image quality and facilitate subsequent analysis, the target surface is preferably uniform in color.
For the convenience of image acquisition and analysis, preferably, when there are a plurality of feature points on the target, only one feature point is selected for template matching, and the selected feature point is recorded as a preset feature point.
Preferably, the characteristic points are holes or reflective mark points, and preferably, the holes are round holes, elliptical holes, long holes or polygonal holes.
Preferably, the side wall of the testing device is provided with an observation port and a cover body, when the visual sensor works abnormally, a tester can open the cover body and recheck the working state of the visual sensor through the observation port.
The testing method reduces the dependency of the testing process on personnel, eliminates the judgment error caused by subjective judgment, and improves the reliability of the testing result;
has the following advantages:
A. automatic testing is carried out, manual observation and comparison are not needed in the whole testing process, only images collected by a camera are transmitted to an upper computer, and detection is judged by the upper computer;
B. a plurality of testing devices can be arranged, so that a plurality of visual sensors can be tested on one computer at the same time, and the testing efficiency is improved;
C. the sensor is fixed on the testing device, so that the characteristic points can be directly photographed and selected as matching templates, the target and the position of the sensor do not need to be adjusted repeatedly, and the operation and the use are convenient and fast;
D. the whole working process is repeated continuously, so that the aging test of the visual sensor can be realized, the time record of the abnormal state can be carried out, and the service life of the sensor can be checked; and by setting a manual rechecking link, the reliability of the test process is further improved, and the false detection is avoided.
Drawings
FIG. 1 is a perspective view of a testing apparatus;
FIG. 2 is a schematic top view of a testing apparatus;
FIG. 3 is a schematic view of a camera capturing images when component I is closed;
FIG. 4 is a schematic view of a camera capturing an image when a light source is turned on;
fig. 5 is a schematic diagram of the camera capturing an image when the laser is turned on.
Detailed Description
The technical solution of the present invention is described in detail below with reference to the accompanying drawings and examples.
A method for testing the working state of a visual sensor includes: camera and component I, comprising the steps of:
1) fixing a visual sensor to be tested on a testing device, wherein as shown in figure 1, the visual sensor can be fixed on a positioning bracket 6 through screws to cover an opening 1 of the testing device, and a closed darkroom is formed in a cavity 2 in the testing device; in the testing device, a target 5 (shown in fig. 2) is arranged in the field range of the camera of the vision sensor;
fixing a visual sensor to be tested on a testing device, and respectively acquiring images of targets in an opening state or a closing state of a component I when the working state is determined to be normal manually, and storing the images as standard images in different states; and then carrying out automatic detection according to the step 2).
2) According to the preset test flow, a camera is used for collecting images of a target in an opening/closing state of a component I, the collected images and standard images obtained in the corresponding state of the preset test flow at all times are analyzed according to the following method, whether a visual sensor works normally in all states is judged, and records are formed:
when the component I is closed, comparing the image acquired by the camera with the gray level of the standard image in a corresponding state, and judging whether the visual sensor works normally;
when the component I is a light source, the component I is opened, the image acquired by the camera is subjected to template matching with a standard image obtained in a corresponding state, and whether the visual sensor works normally is judged according to the result;
when the component I is a laser, at least one characteristic point is arranged on the target, the component I is opened, and laser emitted by the laser at least passes through one characteristic point; the method comprises the steps that a picture acquired by a camera comprises preset characteristic points through which laser passes, the picture is subjected to template matching with a standard image in a corresponding state, and whether a visual sensor works normally or not is judged according to a matching result;
when the component I is a light source and a laser, the light source and the laser cannot be turned on simultaneously; at least one feature point on the target; the method comprises the steps that a light source or a laser is turned on, laser emitted by the laser at least passes through one characteristic point, a picture collected by a camera comprises a preset characteristic point through which the laser passes, the picture collected in the state is subjected to template matching with a standard image in a corresponding state, and whether a visual sensor works normally or not is judged according to a matching result.
Specifically, when the component I is a light source or a laser, the preset test flow is as follows: the component I is turned on or off at preset sequence and time intervals, and the camera sequentially collects target images in various states;
when the component I is a light source and a laser, the preset test flow is as follows: the light source and the laser are respectively turned on or off according to preset time and sequence, and the camera correspondingly collects target images in different states.
When the image acquired when the component I is opened is matched with the standard image in a template mode, the edge outline or the center of the feature point can be matched.
Specifically, when the component I is closed, when an image acquired by the camera is compared with the gray level of a standard image in a corresponding state, the difference value of the average gray level values of the corresponding positions on the two images is calculated, and if the difference value is smaller than the threshold value I, the working state of the visual sensor at the moment is judged to be normal; otherwise, judging the operation is abnormal;
when the component I is opened, and the image acquired by the camera is matched with the standard image in the corresponding state by the template, calculating the matching degree by using the mean gray difference sum of squares, if the matching degree is within the preset threshold range, judging that the visual sensor works normally, otherwise, judging that the visual sensor works abnormally.
In order to improve the image quality and facilitate subsequent analysis, the surface of the target has uniform color.
In this embodiment, there are a plurality of feature points on the target, and only one feature point is selected for template matching.
The characteristic points are holes or reflective mark points, and optionally, the holes are round holes, elliptical holes, long holes or polygonal holes.
In one embodiment of this embodiment, the side wall 4 of the testing device is provided with an observation port 3 and a cover, and when the visual sensor is abnormal in operation, a tester can open the cover and review the operating state of the visual sensor through the observation port.
The following target 5 is taken as a plurality of characteristic circular holes as an example, the visual sensor comprises a camera, a laser and a light source, and the aging test is carried out, and the specific process is as follows:
1) fixing a vision sensor to be tested on a testing device, and respectively acquiring standard images in different states of a normal working process when the working state is determined to be normal manually;
the normal working process comprises ① turning on the camera and turning off the light source and the laser, wherein the standard image is as shown in figure 3, ② turning on the camera and the light source and turning off the laser, ③ turning on the camera and the laser and turning off the light source;
as shown in fig. 4 and 5, only one feature circular hole is selected in states ② and ③, the circular hole is recorded as a preset feature point, the coordinates (x, y) of the circular hole in the image are recorded, a local area with the size (a × a) is selected by taking (x, y) as the center, and the local area is recorded as a standard image area in a state of a certain stress in a normal workflow;
the preset test flow correspondingly comprises ① turning on the camera, turning off the light source and the laser, ② turning on the camera and the light source and turning off the laser, ③ turning on the camera and the laser and turning off the light source;
2) according to the preset test flow, a camera is used for collecting images of a target in an opening/closing state of a component I, the collected images and standard images obtained in the corresponding state of the preset test flow at all times are analyzed according to the following method, whether a visual sensor works normally in all states is judged, and records are formed:
specifically, when the light source and the laser are turned off, the image collected by the camera is compared with the standard image gray level in the corresponding state in the normal working state, the average gray level difference value of the corresponding positions on the two images is calculated, and if the difference value is smaller than the threshold value I, the working state of the visual sensor at the moment is judged to be normal; otherwise, judging the operation is abnormal;
when the light source or laser is also turned on, the camera acquires an image of the target; cutting out a ((a + b) × (a + b)) area with a coordinate point (x, y) as a center in the image, and recording the area as a test image area, wherein b is 5-15 pixels;
and performing template matching on the test image area and the standard image in a corresponding state, calculating the matching degree by using the mean gray difference sum of squares, judging that the visual sensor works normally if the matching degree is within a preset threshold range, and judging that the visual sensor works abnormally if the matching degree is not within the preset threshold range (namely, the image acquired by the sensor at present is inconsistent with the standard image, and the working state is wrong).
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. The foregoing description is not intended to be exhaustive or to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable others skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications thereof. It is intended that the scope of the invention be defined by the following claims and their equivalents.
Claims (9)
1. A method for testing the working state of a visual sensor, wherein the measuring component of the visual sensor comprises: camera and component I, characterized in that it comprises the following steps:
1) fixing a visual sensor to be tested on a testing device, wherein a closed darkroom is formed in a cavity in the testing device; in the testing device, a target is arranged in a camera view field range of a visual sensor;
2) according to the preset test flow, a camera is used for collecting images of a target in an opening/closing state of a component I, the collected images and standard images obtained in the corresponding state of the preset test flow at all times are analyzed according to the following method, whether a visual sensor works normally in all states is judged, and records are formed:
when the component I is closed, comparing the image acquired by the camera with the gray level of the standard image in a corresponding state, and judging whether the visual sensor works normally;
when the component I is a light source, the component I is opened, the image acquired by the camera is matched with a standard image obtained in a corresponding state by a template, and whether the visual sensor works normally is judged according to the result;
when the component I is a laser, at least one characteristic point is arranged on a target, the component I is opened, and laser emitted by the laser at least passes through one characteristic point; the method comprises the steps that a picture acquired by a camera comprises preset characteristic points through which laser passes, the picture is subjected to template matching with a standard image in a corresponding state, and whether a visual sensor works normally or not is judged according to a matching result;
when the component I is a light source and a laser, the light source and the laser cannot be turned on simultaneously; at least one feature point on the target; the method comprises the steps that a light source or a laser is turned on, laser emitted by the laser at least passes through one characteristic point, a picture collected by a camera comprises a preset characteristic point through which the laser passes, the picture collected in the state is subjected to template matching with a standard image in a corresponding state, and whether a visual sensor works normally or not is judged according to a matching result.
2. The method for testing the operating condition of a visual sensor according to claim 1, wherein: when the component I is a light source or a laser, the preset test process is as follows: the component I is turned on or off at preset sequence and time intervals, and the camera sequentially collects target images in various states;
when the component I is a light source and a laser, the preset test flow is as follows: the light source and the laser are respectively turned on or off according to preset time and sequence, and the camera correspondingly collects target images in different states.
3. The method for testing the operating condition of a visual sensor according to claim 1, wherein: the vision sensor to be tested is fixed on the testing device, and when the working state is determined to be normal manually, images of the target under the opening or closing state of the part I are respectively collected and stored to be used as standard images under different states; and then carrying out automatic detection according to the step 2).
4. The method for testing the operating condition of a visual sensor according to claim 1, wherein: when the image acquired when the component I is opened is matched with the standard image in a template mode, the edge outline or the center of the feature point can be matched.
5. The method for testing the operating condition of a visual sensor according to claim 1, wherein:
when the component I is closed, comparing the image acquired by the camera with the gray level of the standard image in the corresponding state, calculating the difference value of the average gray level values of the corresponding positions on the two images, and if the difference value is smaller than a threshold value I, judging that the working state of the vision sensor at the moment is normal; otherwise, judging the operation is abnormal;
when the component I is opened, and the image acquired by the camera is matched with the standard image in a template mode, the matching degree is calculated by utilizing the mean gray difference sum of squares, if the matching degree is within the range of a preset threshold value, the visual sensor is judged to work normally, and if not, the visual sensor is judged to be abnormal.
6. The method for testing the operating condition of a visual sensor according to claim 1, wherein: the surface of the target is uniform in color.
7. The method for testing the operating condition of a visual sensor according to claim 1, wherein: when there are a plurality of feature points on the target, only one feature point is selected for template matching.
8. The method for testing the operating condition of a visual sensor according to claim 1, wherein: the characteristic points are holes or reflective mark points, and preferably, the holes are round holes, elliptical holes, long holes or polygonal holes.
9. The method for testing the operating condition of a visual sensor according to claim 1, wherein: the side wall of the testing device is provided with an observation port and a cover body, when the visual sensor works abnormally, a tester can open the cover body and recheck the working state of the visual sensor through the observation port.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911328411.2A CN110880179A (en) | 2019-12-20 | 2019-12-20 | Method for testing working state of visual sensor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911328411.2A CN110880179A (en) | 2019-12-20 | 2019-12-20 | Method for testing working state of visual sensor |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110880179A true CN110880179A (en) | 2020-03-13 |
Family
ID=69731200
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911328411.2A Pending CN110880179A (en) | 2019-12-20 | 2019-12-20 | Method for testing working state of visual sensor |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110880179A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN111929035A (en) * | 2020-07-27 | 2020-11-13 | 歌尔科技有限公司 | Heart rate module LED brightness detection method and device |
| CN112019835A (en) * | 2020-08-08 | 2020-12-01 | 欧菲微电子技术有限公司 | Frame rate verification device and method for dynamic vision sensor module and storage medium |
| CN112634220A (en) * | 2020-12-17 | 2021-04-09 | 常州市新创智能科技有限公司 | Breakdown image capturing system for composite material glue filling test |
| CN113205482A (en) * | 2021-03-23 | 2021-08-03 | 中建三局第三建设工程有限责任公司 | Iron and steel rust removal quality grade judgment method based on visual identification |
| CN113465879A (en) * | 2021-08-13 | 2021-10-01 | 北京京东乾石科技有限公司 | Test system and three-dimensional camera test method implemented by using same |
| CN114092843A (en) * | 2021-11-19 | 2022-02-25 | 中国直升机设计研究所 | Helicopter VNE automatic test system and method |
| CN115930784A (en) * | 2023-01-09 | 2023-04-07 | 广州市易鸿智能装备有限公司 | Point inspection method of visual inspection system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080044178A1 (en) * | 2006-05-02 | 2008-02-21 | Michael Harrison | Laser safety system |
| CN101969575A (en) * | 2010-08-19 | 2011-02-09 | 北京中星微电子有限公司 | Method for detecting image sensor of photographic device and detection device |
| CN106931946A (en) * | 2015-12-30 | 2017-07-07 | 希姆通信息技术（上海）有限公司 | A kind of full-automatic mobile terminal visible detection method |
| CN107167284A (en) * | 2017-06-29 | 2017-09-15 | 航天南洋（浙江）科技有限公司 | The dynamic dynamic calibration equipment for turning round sensor |
| CN108971025A (en) * | 2018-08-17 | 2018-12-11 | 上海玉嵩机器人技术有限公司 | A kind of visible detection method and vision detection system |
| CN109655234A (en) * | 2018-12-19 | 2019-04-19 | 中国大恒(集团)有限公司北京图像视觉技术分公司 | A kind of automated testing method being directed to camera |
| CN210864816U (en) * | 2019-12-20 | 2020-06-26 | 易思维（杭州）科技有限公司 | Visual sensor operating condition testing arrangement |
-
2019
- 2019-12-20 CN CN201911328411.2A patent/CN110880179A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080044178A1 (en) * | 2006-05-02 | 2008-02-21 | Michael Harrison | Laser safety system |
| CN101969575A (en) * | 2010-08-19 | 2011-02-09 | 北京中星微电子有限公司 | Method for detecting image sensor of photographic device and detection device |
| CN106931946A (en) * | 2015-12-30 | 2017-07-07 | 希姆通信息技术（上海）有限公司 | A kind of full-automatic mobile terminal visible detection method |
| CN107167284A (en) * | 2017-06-29 | 2017-09-15 | 航天南洋（浙江）科技有限公司 | The dynamic dynamic calibration equipment for turning round sensor |
| CN108971025A (en) * | 2018-08-17 | 2018-12-11 | 上海玉嵩机器人技术有限公司 | A kind of visible detection method and vision detection system |
| CN109655234A (en) * | 2018-12-19 | 2019-04-19 | 中国大恒(集团)有限公司北京图像视觉技术分公司 | A kind of automated testing method being directed to camera |
| CN210864816U (en) * | 2019-12-20 | 2020-06-26 | 易思维（杭州）科技有限公司 | Visual sensor operating condition testing arrangement |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN111929035A (en) * | 2020-07-27 | 2020-11-13 | 歌尔科技有限公司 | Heart rate module LED brightness detection method and device |
| CN112019835A (en) * | 2020-08-08 | 2020-12-01 | 欧菲微电子技术有限公司 | Frame rate verification device and method for dynamic vision sensor module and storage medium |
| CN112634220A (en) * | 2020-12-17 | 2021-04-09 | 常州市新创智能科技有限公司 | Breakdown image capturing system for composite material glue filling test |
| CN113205482A (en) * | 2021-03-23 | 2021-08-03 | 中建三局第三建设工程有限责任公司 | Iron and steel rust removal quality grade judgment method based on visual identification |
| CN113465879A (en) * | 2021-08-13 | 2021-10-01 | 北京京东乾石科技有限公司 | Test system and three-dimensional camera test method implemented by using same |
| CN114092843A (en) * | 2021-11-19 | 2022-02-25 | 中国直升机设计研究所 | Helicopter VNE automatic test system and method |
| CN115930784A (en) * | 2023-01-09 | 2023-04-07 | 广州市易鸿智能装备有限公司 | Point inspection method of visual inspection system |
| CN115930784B (en) * | 2023-01-09 | 2023-08-25 | 广州市易鸿智能装备有限公司 | Point inspection method of visual inspection system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110880179A (en) | Method for testing working state of visual sensor | |
| US11449980B2 (en) | System and method for combined automatic and manual inspection | |
| US10222884B2 (en) | Method and device for detecting defects in a pressing test of a touch screen | |
| KR20170019407A (en) | Automatic recipe stability monitoring and reporting | |
| CN112418590B (en) | Printed circuit board component detection method and system | |
| CN107132233B (en) | Method and system for verifying bad coordinate position in display panel | |
| CN210864816U (en) | Visual sensor operating condition testing arrangement | |
| CN103673897B (en) | Automatic correction method and system of padding height measuring machine | |
| KR20130128923A (en) | Method and apparatus for tracking mounting error of chip mounter | |
| CN117665546A (en) | Automatic test method and system for PCBA (printed circuit board assembly) | |
| CN109596317B (en) | Detection method and device for panel lamp | |
| KR20150104766A (en) | Tracking method for badness history in inspection process | |
| JP3806461B2 (en) | Appearance inspection equipment | |
| CN113933309B (en) | Method for retesting blind hole Kong Nabu of AOI machine | |
| CN113269736B (en) | Method, system and medium for automated inspection of fastener dimensions | |
| CN115546140A (en) | Display panel detection method and system and electronic device | |
| CN109186940B (en) | Monitoring method and monitoring device for testing precision | |
| CN111812117A (en) | Circuit board detection device, detection control interface and detection method thereof | |
| KR20090048524A (en) | Method for inspecting pressure mark using system for inspecting lcd panel | |
| KR102028196B1 (en) | LED module examine apparatus for using image processing | |
| CN116755171B (en) | Safety protection system for CP test | |
| CN109100359A (en) | A kind of product defects recognition methods based on machine vision | |
| CN115423811B (en) | Method and device for registering welding spots on chip | |
| CN112446929A (en) | Method for testing working state of visual sensor | |
| TWI761651B (en) | Optical inspection system and method with high information |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Country or region after: China Address after: Room 495, building 3, 1197 Bin'an Road, Binjiang District, Hangzhou City, Zhejiang Province 310051 Applicant after: Yi Si Si (Hangzhou) Technology Co.,Ltd. Address before: Room 495, building 3, 1197 Bin'an Road, Binjiang District, Hangzhou City, Zhejiang Province 310051 Applicant before: ISVISION (HANGZHOU) TECHNOLOGY Co.,Ltd. Country or region before: China |