CN115278223A - Camera product connection performance test method and system, storage device and processing terminal - Google Patents

Camera product connection performance test method and system, storage device and processing terminal Download PDF

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CN115278223A
CN115278223A CN202211200742.XA CN202211200742A CN115278223A CN 115278223 A CN115278223 A CN 115278223A CN 202211200742 A CN202211200742 A CN 202211200742A CN 115278223 A CN115278223 A CN 115278223A
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CN115278223B (en
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刘斌
王瑶
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Tianjin Hualai Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00Diagnosis, testing or measuring for television systems or their details
    • H04N17/002Diagnosis, testing or measuring for television systems or their details for television cameras
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
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Abstract

The invention relates to the technical field of image processing, in particular to a method, a system, a storage device and a processing terminal for testing the connection performance of a camera product, which comprises the following processes: shooting a camera product to be tested by aiming at a target image, and transmitting the image to a mobile phone test app; the industrial camera acquires image frames and transmits the image frames to the image processing module, the image processing module carries out filtering and edge detection processing, boundary pixel points are transmitted to the data processing module, the data processing module selects one pixel point, an arc line is drawn along the gradient direction, then another pixel point on the arc line is drawn along the gradient direction, the center of a circle is found, and the distance from all the pixel points to the center of the circle and the number of formed circular rings are calculated; if the number of the circular rings exceeds a set value, the picture connection performance of the camera shooting product is judged to meet the requirement. The method and the system provided by the invention can test whether the picture connection performance and the picture connection time of the camera product meet the requirements or not.

Description

Camera product connection performance test method and system, storage device and processing terminal
Technical Field
The invention relates to the technical field of image processing, in particular to a method and a system for testing connection performance of a camera product, a storage device and a processing terminal.
Background
The picture connection success rate, speed and the like of the camera shooting type product are important indexes for measuring the performance of the product, and are effective means for improving user experience.
One of the current schemes for testing the connection performance of the pictures of the camera products is to connect the pictures by manually operating app, count the time by a stopwatch, stop timing after the pictures are successfully connected, and perform a large amount of operations to acquire performance data. The method has inaccurate timing, strong subjectivity, fatigue caused by manual operation and unreliable data.
And in the second test scheme, through the app automatic test technology, the app automatically clicks the corresponding button. And carrying out technical embedding on the code logic of the picture connection through the app, and recording corresponding time. According to the method, errors exist in timing, the recorded connection success time point depends on the p2p protocol connection time point recorded by an app developer, and a certain error exists between the recorded connection success time point and the time point when a user actually sees a picture. Moreover, the current app interactive designs of intelligent camera products are different, and the cost for writing automatic programs one by one is too high.
Interaction pages of the app connection process of current intelligent camera products are all designed differently, and a general image algorithm is needed to cope with the diversity and continuous iteration of interaction.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a method, a system, a storage device and a processing terminal for testing the connection performance of camera products, wherein a target image which is formed in advance and comprises a plurality of circular rings is shot by the camera products to be tested and is transmitted to a mobile phone test app, then an industrial camera is used for collecting a mobile phone test app image, and the target image characteristic is analyzed through a self-grinding image algorithm so as to identify whether the connection performance of the image of the camera products meets the requirement and whether the connection time meets the requirement, so that the test efficiency and the test precision are higher, and the requirements of the connection performance test of all the camera products can be met.
The invention is realized by the following technical scheme:
the method for testing the connection performance of the camera product comprises the following steps:
s1, pre-forming a target image comprising a plurality of circular rings, shooting a to-be-tested camera product aiming at the target image, and transmitting the image to a mobile phone test app;
s2, the industrial camera acquires image frames of images on the mobile phone test app, then transmits the image frames to an image processing module of the processing terminal, the image processing module filters the images, and calculates gradients of all pixel points through edge detection processing, if the current pixel point and all adjacent pixel points have gradients, the current pixel point is reserved as a boundary pixel point and is transmitted to a data processing module of the processing terminal, and if the current pixel point and more than one adjacent pixel points have no gradients, the current pixel point is not the boundary point and is eliminated;
s3, selecting one pixel point by the data processing module, drawing an arc line along the gradient direction, then drawing an arc line along the gradient direction by another pixel point on the arc line, and then finding the center of a circle according to the formula (1)
Figure DEST_PATH_IMAGE001
(1)
Wherein (a, b) represent the coordinates of the center of a circle,
Figure DEST_PATH_IMAGE002
representing a central angle, r representing a radius, and (x, y) representing coordinates of pixel points on the circular arc;
s4, the data processing module calculates the distances from all the pixel points to the circle center, the distances are sorted and grouped from small to large, each group of data is compared with the set corresponding radius range, the pixel points exceeding the set corresponding radius range are removed, and the rest pixel points form a ring shape;
and S5, calculating the number of the rings in the preset radius range, and if the calculated number of the rings exceeds the preset number of the rings, judging that the picture connection performance of the camera shooting product meets the requirement.
Further, the testing method also comprises a step S6 of repeating the testing process of S2-S5 until a preset testing time or testing times is reached, recording the picture connection performance testing result of the camera shooting product every time, calculating the ratio of the picture connection performance testing of the camera shooting product meeting the requirements, comparing the ratio with the preset ratio, and if the calculated ratio of the picture connection performance testing of the camera shooting product meeting the requirements is more than or equal to the preset ratio, judging that the picture connection performance of the camera shooting product to be tested meets the requirements.
Furthermore, in the step S1, a camera product to be tested is activated by a mobile phone test app before being aligned with a target image to be shot, a time module of a processing terminal records the current time as connection starting time, the step S5 is that a data processing module judges the time after the picture connection performance test of the camera product meets requirements as connection ending time, the time module transmits the recorded connection starting time and the recorded connection ending time to the data processing module, the data processing module subtracts the connection starting time from the connection ending time to calculate connection time, compares the connection time with preset connection time, judges that the connection is successful if the connection time is less than the preset connection time, and judges that the connection is failed if the connection time exceeds the preset connection time.
Further, when the gradients of all the pixel points are calculated in the S2, calculation is performed according to the formula (2)
Figure DEST_PATH_IMAGE003
(2)
Wherein: gx' represents the result of the transverse convolution of the convolution kernel with the image sequence; gy' represents the result of a longitudinal convolution of the convolution kernel with the image sequence.
Further, in S2, the filtering process is performed according to equation (3)
Figure DEST_PATH_IMAGE004
(3)
Wherein:
Figure DEST_PATH_IMAGE005
and Ga (x) represents the image pixel sequence set after Gaussian filtering processing, wherein the variance of x is shown as the variance of x.
Further, after the condition that the picture connection performance test of the camera shooting product meets the requirements is judged, the mobile phone test app opens and captures a to-be-tested image page of the received target image, then cuts out a page icon in the page, sends the picture of the page icon to the image processing module, the image processing module performs feature point matching with an image frame transmitted by the industrial camera, and if the feature points are matched, the image tested in the test process is confirmed to be the to-be-tested image of the target image received by the mobile phone test app.
And the camera product connection performance test storage medium is used for storing the images and the processing data in the test method.
The camera product connection performance test processing terminal comprises a storage medium, a time module, an image processing module and a data processing module, wherein the storage medium is used for executing the camera product connection performance test method.
The camera product connection performance test system comprises a mobile phone, an industrial camera and a processing terminal;
the mobile phone is internally provided with a mobile phone test app, and is used for receiving a target image shot by a camera product to be tested, shooting a page by an industrial camera and controlling the process of the test method;
the industrial camera is used for shooting and recording image frames of a test page of the mobile phone test app and transmitting information to the processing terminal;
the processing terminal comprises a storage medium, an image processing module and a data processing module;
the storage medium is used for storing the image and the processing data of the test method;
the image processing module is used for processing image frames shot by the industrial camera and transmitting the processed image information to the data processing module;
the data processing module is used for receiving the information of the image processing module and calculating the data of the information through a calculation program, so that whether the picture connection performance test of the camera product meets the requirements or not is judged.
Furthermore, the camera product connection performance test system also comprises a time module which is used for recording the start time and the end time of the test and transmitting the data to the data processing module so as to judge whether the connection is successful.
Advantageous effects of the invention
The method, the system, the storage device and the processing terminal for testing the connection performance of the camera shooting product have the following advantages that:
1. whether the picture connection performance of the camera products meets the requirements can be identified;
2. whether the picture connection time of the camera product meets the requirement can be judged;
3. the testing efficiency and the testing precision are high, and the requirements of the connection performance test of all camera products can be met.
Drawings
FIG. 1 is a flow chart of the image processing and algorithm of the present invention;
FIG. 2 is a schematic diagram of a target;
fig. 3 is a system block diagram.
Detailed Description
The method for testing the connection performance of the camera product comprises the following steps:
s1, pre-forming a target image comprising a plurality of circular rings, shooting a to-be-tested camera product aiming at the target image, and then transmitting the image to a mobile phone test app; if the camera product to be tested has the tripod head rotating function, the camera product to be tested is placed in a tool for fixing the tripod head, the tripod head is guaranteed not to rotate, then the camera is shot, the target image is a static black-and-white image, the target image can be printed out for high multiplexing in the test of a large number of camera products, the cost is saved, the efficiency is improved, meanwhile, the light influence degree is small, the test result is more accurate, and the specific target image schematic diagram is shown in the attached drawing 2.
S2, the industrial camera acquires image frames of images on the mobile phone test app, then transmits the image frames to an image processing module of the processing terminal, the image processing module filters the images, and calculates gradients of all pixel points through edge detection processing, if the current pixel point and all adjacent pixel points have gradients, the current pixel point is reserved as a boundary pixel point and is transmitted to a data processing module of the processing terminal, and if the current pixel point and more than one adjacent pixel points have no gradients, the current pixel point is not the boundary point and is eliminated;
s3, selecting one pixel point by the data processing module, drawing an arc line along the gradient direction, then drawing an arc line along the gradient direction by another pixel point on the arc line, and then finding the center of a circle according to the formula (1)
Figure DEST_PATH_IMAGE006
(1)
Wherein (a, b) represent the coordinates of the center of a circle,
Figure 155438DEST_PATH_IMAGE002
representing a central angle, r representing a radius, and (x, y) representing coordinates of pixel points on the circular arc;
s4, the data processing module calculates the distances from all the pixel points to the circle center, the distances are sorted and grouped from small to large, each group of data is compared with the set corresponding radius range, the pixel points exceeding the set corresponding radius range are removed, and the rest pixel points form a ring shape;
the purpose of sequencing the distances from small to large can enable approximately same data to form a group, because the radius of each ring in the target graph is set, and each corresponding ring is set with a range value, data which are not in the set range are removed, and pixel points corresponding to each group of residual data form a ring.
And S5, calculating the number of the rings within the preset radius range, and if the calculated number of the rings exceeds the preset number of the rings, judging that the picture connection performance test of the camera product meets the requirement.
Judging whether the target graph exists in the industrial camera picture according to the number of the circular rings, wherein the judgment threshold value calculation method of the number of the circular rings comprises the following steps:
generally, in the image processor with a resolution of 1280 × 720, the relative length range of the preset radius is 30-50px, and the adjustment can be performed as required to detect whether the number of circles is greater than or equal to the total number of circles of the target image 0.2 as the basis for judgment, (0.2 is the base value based on the light interference and the algorithm detection rate). Considering that the existing UI icons of the mobile app are similar to the circular rings and cause interference, the number of the circular rings in the threshold calculation result can be increased appropriately, and it is considered that adding 5 is more appropriate in the process of performing a large number of tests on various apps. Namely: the total number of target circle rings 0.2 + 5 is the preset number of circle rings. And if the calculated number of the circular rings exceeds the total number of the circular rings of the target image by 0.2 + 5, judging that the target image exists in the image of the industrial camera, namely the image connection performance of the image pickup product meets the requirement. The specific image processing and algorithm flow chart is shown in fig. 1.
According to the method for testing the connection performance of the camera products, a target image which is formed in advance and contains a plurality of circular rings is shot through the camera products to be tested and transmitted to the mobile phone test app, then the pictures of the mobile phone test app are collected by using the industrial camera, the characteristics of the target image are analyzed through a self-developed image algorithm, whether the picture connection performance of the camera products meets the requirements or not can be identified, the test efficiency and the test precision are higher, and the requirements of the connection performance test of all the camera products can be met.
Whether the connection time meets the requirement or not is judged, the testing efficiency and the testing precision are high, and the requirement of the connection performance test of all the camera products can be met.
Further, the test method also comprises a step S6 of repeating the test process of the step S2 to the step S5 until a preset test time or test frequency is reached, recording the picture connection performance test result of the camera products each time, calculating the ratio of the picture connection performance test of the camera products meeting the requirement, comparing the ratio with the preset ratio, and judging that the picture connection performance of the camera products to be tested meets the requirement if the calculated ratio of the picture connection performance test of the camera products meeting the requirement is more than or equal to the preset ratio.
Whether the picture connection performance of the camera product to be tested meets the requirements can be further determined only through multiple tests, and the contingency and uncertainty of a single measurement result are removed, so that the test result is more accurate and reliable.
Furthermore, in the step S1, a camera product to be tested is activated by a mobile phone test app before being aligned with a target image to be shot, a time module of a processing terminal records the current time as connection starting time, the step S5 is that a data processing module judges the time after the picture connection performance test of the camera product meets requirements as connection ending time, the time module transmits the recorded connection starting time and the recorded connection ending time to the data processing module, the data processing module subtracts the connection starting time from the connection ending time to calculate connection time, compares the connection time with preset connection time, judges that the connection is successful if the connection time is less than the preset connection time, and judges that the connection is failed if the connection time exceeds the preset connection time. Through the test of the connection time, the connection performance of the camera product can be further determined.
Further, when the gradients of all the pixel points are calculated in the S2, calculation is performed according to the formula (2)
Figure DEST_PATH_IMAGE007
(2)
Wherein: gx' represents the result of the transverse convolution of the convolution kernel with the image sequence; gy' represents the result of a longitudinal convolution of the convolution kernel with the image sequence.
The Gx and Gy convolution kernel is of formula (4):
Figure DEST_PATH_IMAGE008
(4)
where Gx is the operator in the horizontal direction and Gy is the operator in the vertical direction.
When the pixel sequence set of the original image is denoted by P, the following expression (5):
Figure DEST_PATH_IMAGE009
(5)
the above formula (2) is obtained by developing the formula (5).
When the convolution is performed for each pixel in the original image, the gray scale approximation of the image is obtained as equation (6):
Figure DEST_PATH_IMAGE010
(6)
if G is greater than a threshold, the point is a boundary point.
By the method, derivation is carried out in the horizontal direction and the vertical direction, and gradient images of the image in the x direction and the y direction are obtained. Because the first derivative of the non-edge is zero in the calculation process, only the image of the edge pixel point is left in the calculation result, which is beneficial to simplifying the subsequent data processing program and improving the test efficiency.
Further, in S2, the filtering process is performed according to equation (3)
Figure DEST_PATH_IMAGE011
(3)
Wherein:
Figure 70915DEST_PATH_IMAGE005
the variance of x is obtained, ga (x) represents the image pixel sequence set after Gaussian filtering processing, so that the image is subjected to edge detection after the Gaussian filtering processing, the edge detection time can be shortened, the connection time can be shortened, and the testing efficiency can be improved.
Further, after the picture connection performance test of the camera product is judged to meet the requirements, the mobile phone test app opens and captures a to-be-tested image page of the received target picture, then cuts out a page icon in the page icon, sends the picture of the page icon to the image processing module, the image processing module performs feature point matching with an image frame transmitted by the industrial camera, and if the feature points are matched, the image tested in the test process is determined to be the to-be-tested image of the target picture received by the mobile phone test app.
By adopting the method, whether the image tested in the testing process is the image to be tested of the mobile phone testing app received target image or not can be further judged, and the accuracy of the testing result is further ensured.
Specifically, the matching can be performed by methods such as SIFT, harris or SURF when the feature point matching is performed.
And the camera product connection performance test storage medium is used for storing the image and the processing data of the test method.
The camera product connection performance test processing terminal comprises a storage medium, a time module, an image processing module and a data processing module, wherein the storage medium is used for executing the camera product connection performance test method.
The system block diagram of the system for testing the connection performance of the camera product is shown in the attached figure 3 and comprises a mobile phone, an industrial camera and a processing terminal;
the mobile phone is internally provided with a mobile phone test app, and the mobile phone test app is used for receiving a target image shot by a camera product to be tested, shooting a page by an industrial camera and controlling the process of the test method;
the industrial camera is used for shooting and recording image frames of a test page of the mobile phone test app and transmitting information to the processing terminal;
the processing terminal comprises a storage medium, an image processing module and a data processing module;
the storage medium is used for storing the image and the processing data of the test method;
the image processing module is used for processing image frames shot by the industrial camera and transmitting the processed image information to the data processing module;
the data processing module is used for receiving the information of the image processing module and carrying out data calculation processing on the information through a calculation program, so that whether the picture connection performance test of the camera shooting product meets the requirements or not is judged.
Furthermore, the camera product connection performance test system also comprises a time module which is used for recording the start time and the end time of the test and transmitting the data to the data processing module so as to judge whether the connection is successful.
By adopting the system, the connection performance of the camera product can be tested by the camera product connection performance testing method, and the connection performance comprises the picture connection performance and the connection time of the camera product.
In summary, the method, the system, the storage device and the processing terminal for testing the connection performance of the camera product provided by the invention can test whether the picture connection performance and the picture connection time of the camera product meet the requirements, have high test efficiency and test precision and wide application range, and can meet the requirements of the connection performance test of all camera products.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. The method for testing the connection performance of the camera product is characterized by comprising the following steps: the method comprises the following steps:
s1, pre-forming a target image comprising a plurality of circular rings, shooting a to-be-tested camera product aiming at the target image, and transmitting the image to a mobile phone test app;
s2, acquiring an image frame of an image on the mobile phone test app by the industrial camera, transmitting the image frame to an image processing module of the processing terminal, filtering the image by the image processing module, calculating gradients of all pixel points through edge detection processing, reserving the current pixel point as a boundary pixel point and transmitting the boundary pixel point to a data processing module of the processing terminal if the current pixel point and all adjacent pixel points have gradients, and rejecting the current pixel point which is not the boundary point if the current pixel point and more than one adjacent pixel points have no gradients;
s3, selecting one pixel point by the data processing module, drawing an arc line along the gradient direction, then drawing an arc line along the gradient direction by another pixel point on the arc line, and then finding the center of a circle according to the formula (1)
Figure 752611DEST_PATH_IMAGE001
(1)
Wherein (a, b) represent the coordinates of the center of a circle,
Figure 486212DEST_PATH_IMAGE002
representing a central angle, r representing a radius, and (x, y) representing coordinates of pixel points on the circular arc;
s4, the data processing module calculates the distances from all the pixel points to the circle center, the distances are sorted and grouped from small to large, each group of data is compared with the set corresponding radius range, the pixel points exceeding the set corresponding radius range are removed, and the rest pixel points form a ring shape;
and S5, calculating the number of the rings in the preset radius range, and if the calculated number of the rings exceeds the preset number of the rings, judging that the picture connection performance of the camera shooting product meets the requirement.
2. The method for testing the connection performance of the camera product according to claim 1, further comprising the step of S6, repeating the test process of S2-S5 until a preset test time or test frequency is reached, recording the picture connection performance test result of the camera product each time, calculating the ratio of the picture connection performance test of the camera product meeting the requirement, comparing the ratio with the preset ratio, and if the calculated ratio of the picture connection performance test of the camera product meeting the requirement is greater than or equal to the preset ratio, judging that the picture connection performance of the camera product to be tested meets the requirement.
3. The method for testing connection performance of camera products according to claim 1, wherein in S1, the camera product to be tested is activated by the mobile phone test app before being photographed with respect to the target map, and the time module of the processing terminal records the current time as the connection start time, S5 the data processing module determines that the time after the camera product picture connection performance test meets the requirements as the connection end time, the time module transmits the recorded connection start time and connection end time to the data processing module, the data processing module calculates the connection time by subtracting the connection start time from the connection end time, compares the connection time with the preset connection time, and determines that the connection is successful if the connection time is shorter than the preset connection time, and determines that the connection is failed if the connection time is longer than the preset connection time.
4. The method for testing connection performance of camera product according to claim 1, wherein the calculation in S2 is performed according to equation (2) when calculating gradients of all pixel points
Figure 223093DEST_PATH_IMAGE003
(2)
Wherein: gx' represents the result of the transverse convolution of the convolution kernel with the image sequence; gy' represents the result of the longitudinal convolution of the convolution kernel with the image sequence.
5. The method for testing connection performance of camera product according to claim 1, wherein the filtering process is performed according to equation (3) in S2
Figure 776565DEST_PATH_IMAGE004
(3)
Wherein:
Figure 761488DEST_PATH_IMAGE005
and Ga (x) represents the image pixel sequence set after Gaussian filtering processing, wherein the variance of x is shown as the variance of x.
6. The method for testing the connection performance of the camera product according to claim 1, wherein after the picture connection performance test of the camera product is judged to meet the requirements, the mobile phone test app opens and captures a page of an image to be tested which receives the target image, cuts out a page icon therein, and sends the image of the page icon to the image processing module, the image processing module performs feature point matching with an image frame transmitted by the industrial camera, and if the feature point matching is performed, the image tested in the test process is determined to be the image to be tested which the mobile phone test app receives the target image.
7. A camera product connection performance test storage medium for storing the image and processing data according to claim 1, 2, 3, 4, 5 or 6.
8. A camera product connection performance test processing terminal, characterized by comprising a storage medium, a time module, an image processing module and a data processing module for executing the camera product connection performance test method of claim 1, 2, 3, 4, 5 or 6.
9. The connection performance test system of the camera product is characterized by comprising a mobile phone, an industrial camera and a processing terminal;
a mobile phone test app is arranged in the mobile phone, and is used for receiving a target image shot by a camera product to be tested, shooting a page by an industrial camera and controlling the process of the test method of claim 1, 2, 3, 4, 5 or 6;
the industrial camera is used for shooting and recording image frames of a test page of the mobile phone test app and transmitting information to the processing terminal;
the processing terminal comprises a storage medium, an image processing module and a data processing module;
a storage medium for storing the image, the processed data of claim 1, 2, 3, 4, 5 or 6;
the image processing module is used for processing image frames shot by the industrial camera and transmitting the processed image information to the data processing module;
the data processing module is used for receiving the information of the image processing module and carrying out data calculation processing on the information through a calculation program, so that whether the picture connection performance test of the camera shooting product meets the requirements or not is judged.
10. The system for testing connection performance of camera products according to claim 9, further comprising a time module for recording a start time and an end time of the test and transmitting data to the data processing module, thereby determining whether the connection is successful.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117041534A (en) * 2023-10-08 2023-11-10 天津华来科技股份有限公司 Binding performance testing method for intelligent camera

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6418238B1 (en) * 1997-09-22 2002-07-09 Olympus Optical Co., Ltd. Image detection apparatus and image detection method capable of detecting roundish shape
CN108364417A (en) * 2018-02-02 2018-08-03 河海大学常州校区 Intelligent checkout system and method based on Hough circle and color euclidean distance method
CN110288619A (en) * 2018-03-14 2019-09-27 浙江大学山东工业技术研究院 The sun embossing die group surface screw hole site detection method of view-based access control model
CN110866903A (en) * 2019-11-08 2020-03-06 北京工业大学 Ping-pong ball identification method based on Hough circle transformation technology
CN111724383A (en) * 2020-06-30 2020-09-29 重庆盛泰光电有限公司 Camera module black spot detection system based on turntable
CN112153367A (en) * 2019-06-26 2020-12-29 宁波舜宇光电信息有限公司 Automatic detection machine for testing camera module
CN112819120A (en) * 2021-01-27 2021-05-18 中山大学 Fuzzy recognizable two-dimensional code and generation and recognition methods thereof

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6418238B1 (en) * 1997-09-22 2002-07-09 Olympus Optical Co., Ltd. Image detection apparatus and image detection method capable of detecting roundish shape
CN108364417A (en) * 2018-02-02 2018-08-03 河海大学常州校区 Intelligent checkout system and method based on Hough circle and color euclidean distance method
CN110288619A (en) * 2018-03-14 2019-09-27 浙江大学山东工业技术研究院 The sun embossing die group surface screw hole site detection method of view-based access control model
CN112153367A (en) * 2019-06-26 2020-12-29 宁波舜宇光电信息有限公司 Automatic detection machine for testing camera module
CN110866903A (en) * 2019-11-08 2020-03-06 北京工业大学 Ping-pong ball identification method based on Hough circle transformation technology
CN111724383A (en) * 2020-06-30 2020-09-29 重庆盛泰光电有限公司 Camera module black spot detection system based on turntable
CN112819120A (en) * 2021-01-27 2021-05-18 中山大学 Fuzzy recognizable two-dimensional code and generation and recognition methods thereof

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117041534A (en) * 2023-10-08 2023-11-10 天津华来科技股份有限公司 Binding performance testing method for intelligent camera
CN117041534B (en) * 2023-10-08 2024-01-02 天津华来科技股份有限公司 Binding performance testing method for intelligent camera

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