CN111256609B - Method and device for detecting USB interface depth - Google Patents
Method and device for detecting USB interface depth Download PDFInfo
- Publication number
- CN111256609B CN111256609B CN202010072755.8A CN202010072755A CN111256609B CN 111256609 B CN111256609 B CN 111256609B CN 202010072755 A CN202010072755 A CN 202010072755A CN 111256609 B CN111256609 B CN 111256609B
- Authority
- CN
- China
- Prior art keywords
- usb interface
- scanning
- target
- target usb
- maximum depth
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/22—Measuring arrangements characterised by the use of optical techniques for measuring depth
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/002—Measuring arrangements characterised by the use of optical techniques for measuring two or more coordinates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2205—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested
- G06F11/221—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested to test buses, lines or interfaces, e.g. stuck-at or open line faults
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2273—Test methods
Abstract
The method comprises the steps of obtaining physical coordinates of equipment where a target USB interface is located; fixing the equipment where the target USB interface is located according to a preset direction to obtain a fixed position, and keeping a preset distance between the fixed position and the detection equipment; performing line laser scanning on the USB according to the preset direction based on the physical coordinate of the equipment where the target USB interface is located and the fixed position to obtain a plurality of groups of scanning distances, wherein the laser is emitted by a laser emitting device fixed on the detection equipment; and determining the maximum depth of the target USB interface according to the multiple groups of scanning distances. Therefore, the maximum depth of the USB interface can be accurately obtained, the USB is subjected to plug wire detection according to the maximum depth, and the situation that the mobile terminal is damaged by being pressed by being inserted too deeply or cannot be detected due to being inserted too shallowly is avoided.
Description
Technical Field
The present application relates to the field of device detection, and in particular, to a method and device for detecting a depth of a USB interface.
Background
Along with the development of social requirements, mobile terminals such as mobile phones are more and more popular in application and higher in quality requirements, testing is required before delivery or performance detection is performed on second-hand mobile terminals, a USB interface is often required to be tested in the testing process, when the USB interface is automatically tested, if the depth degree of the USB interface is unknown, the testing is prone to cause inaccuracy, and if the USB interface is too deeply inserted, the mobile terminals are prone to being crushed, and if the USB interface is too shallowly inserted, normal detection cannot be performed.
Disclosure of Invention
An object of the present application is to provide a method and an apparatus for detecting a depth of a USB interface, which solve the problem in the prior art that the depth of the USB interface is unclear, which may cause abnormal detection of the USB interface or damage to a mobile terminal.
According to an aspect of the present application, there is provided a method of detecting a depth of a USB interface, the method including:
acquiring a physical coordinate of equipment where a target USB interface is located;
fixing the equipment where the target USB interface is located according to a preset direction to obtain a fixed position, and keeping a preset distance between the fixed position and the detection equipment;
performing line laser scanning on the USB according to the preset direction based on the physical coordinate of the equipment where the target USB interface is located and the fixed position to obtain a plurality of groups of scanning distances, wherein the laser is emitted by a laser emitting device fixed on the detection equipment;
and determining the maximum depth of the target USB interface according to the multiple groups of scanning distances.
Further, acquiring the physical coordinates of the device where the target USB interface is located includes:
and determining the physical coordinates of the equipment where the target USB interface is located according to the positioning information of the target USB interface in the image information.
Further, determining the physical coordinates of the target device where the target USB interface is located according to the positioning information of the target USB interface in the image information, includes:
acquiring image information of a target USB interface;
positioning the target USB interface in the image information of the target USB interface to obtain the positioning information of the target USB interface, wherein the positioning information comprises coordinate information of the target USB interface in an image;
and converting the coordinate information into the physical coordinate of the equipment where the target USB interface is located.
Further, determining the maximum depth of the target USB interface according to the plurality of sets of scanning distances includes:
performing smoothing processing on the plurality of groups of scanning distances by using exponential weighted average to obtain processed scanning distances;
calculating the slope of each processed scanning distance, and removing the abnormal scanning distance according to the calculated slope to obtain a target scanning distance;
and sequencing the target scanning distances, and determining the maximum depth of the target USB interface according to the sequenced target scanning distances and a preset quantile.
Further, the determining the maximum depth of the target USB interface according to the multiple groups of scanning distances includes:
and determining the maximum depth of the target USB interface according to the distance difference between the first scanning distance and the second scanning distance.
According to another aspect of the present application, there is also provided an apparatus for detecting a depth of a USB interface, the apparatus including:
one or more processors; and
a memory storing computer readable instructions that, when executed, cause the processor to perform the operations of the method as previously described.
According to yet another aspect of the present application, there is also provided a computer readable medium having computer readable instructions stored thereon, the computer readable instructions being executable by a processor to implement the method as described above.
Compared with the prior art, the method and the device have the advantages that the physical coordinates of the equipment where the target USB interface is located are obtained; fixing the equipment where the target USB interface is located according to a preset direction to obtain a fixed position, and keeping a preset distance between the fixed position and the detection equipment; performing line laser scanning on the USB according to the preset direction based on the physical coordinate of the equipment where the target USB interface is located and the fixed position to obtain a plurality of groups of scanning distances, wherein the laser is emitted by a laser emitting device fixed on the detection equipment; and determining the maximum depth of the target USB interface according to the multiple groups of scanning distances. Therefore, the maximum depth of the USB interface can be accurately obtained, the USB is subjected to plug wire detection according to the maximum depth, and the situation that the mobile terminal is damaged by being pressed by being inserted too deeply or cannot be detected due to being inserted too shallowly is avoided.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 illustrates a flow diagram of a method for detecting USB interface depth provided in accordance with an aspect of the present application;
FIG. 2 is a diagram illustrating a scan result of a Type-C interface in an embodiment of the present application;
fig. 3 is a diagram illustrating a scanning result of a USB interface of a device equipped with an ios system according to an embodiment of the present application.
The same or similar reference numbers in the drawings identify the same or similar elements.
Detailed Description
The present application is described in further detail below with reference to the attached figures.
In a typical configuration of the present application, the terminal, the device serving the network, and the trusted party each include one or more processors (e.g., Central Processing Units (CPUs)), input/output interfaces, network interfaces, and memory.
The Memory may include volatile Memory in a computer readable medium, Random Access Memory (RAM), and/or nonvolatile Memory such as Read Only Memory (ROM) or flash Memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, Phase-Change RAM (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), flash Memory or other Memory technology, Compact Disc Read-Only Memory (CD-ROM), Digital Versatile Disc (DVD) or other optical storage, magnetic cassette tape, magnetic tape storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
Fig. 1 is a flow chart illustrating a method for detecting a depth of a USB interface according to an aspect of the present application, where the method includes: step S11 to step S14,
in step S11, acquiring physical coordinates of the device where the target USB interface is located; here, the target USB interface is a USB interface to be detected, that is, a USB interface set by the interface needs to be determined, and when the USB interface is automatically detected, the position of the USB interface needs to be located first, so as to obtain physical coordinates of the device where the target USB interface is located in the physical coordinate system.
In step S12, fixing the device where the target USB interface is located according to a preset direction to obtain a fixed position, and keeping a preset distance from the detection device; here, the device where the target USB interface is located may be fixed in the vertical direction of the USB interface, for example, when the USB interface on the mobile phone is to be detected, the USB interface of the mobile phone is placed horizontally facing the detection machine, and a certain distance is kept from the detection machine, so that the USB interface may be scanned by using the laser emission device on the detection machine. Then, in step S13, performing line laser scanning on the USB according to the preset direction based on the physical coordinates of the device where the target USB interface is located and the fixed position, to obtain multiple groups of scanning distances, where the laser is emitted by a laser emitting device fixed on the detection device; the method includes the steps that laser is emitted at the edge position of detection equipment according to a laser emitting device and physical coordinates of a USB on a mobile terminal, wherein the physical coordinates are obtained through positioning, laser is emitted to vertically scan the USB interface, the scanning distance corresponding to the scanning point is determined according to the scanned physical coordinates and a fixed position, and when the USB interface is vertically scanned, a plurality of scanning points are scanned to obtain a plurality of groups of scanning distances.
Subsequently, in step S14, the maximum depth of the target USB interface is determined according to the plurality of sets of scanning distances. And judging the distance from the laser emission position to the deepest position when scanning points of the USB interface each time, and obtaining a plurality of groups of scanning distances through multiple times of scanning so as to determine the maximum depth of the target USB interface.
In an embodiment of the present application, in step S11, the physical coordinates of the device where the target USB interface is located are determined according to the positioning information of the target USB interface in the image information. When the target USB interface is positioned, the position information of the USB interface in the image information can be positioned first, so that coordinate conversion is performed, and physical coordinates of the equipment where the USB interface is located in a physical coordinate system are obtained; the coordinate information of the specific positioning USB interface is carried out in the following mode: acquiring image information of a target USB interface; positioning the target USB interface in the image information of the target USB interface to obtain the positioning information of the target USB interface, wherein the positioning information comprises coordinate information of the target USB interface in an image; and converting the coordinate information into the physical coordinate of the equipment where the target USB interface is located. The positioning information refers to coordinate information of the USB interface in an image or in a physical coordinate system of the device, the device where the USB interface is located may be a mobile terminal, and the USB interface of the mobile terminal to be detected is photographed by a camera or a device with a camera function to obtain image information of a target USB interface, so as to position the USB interface by analyzing the image. And the acquired image information is a color image, the USB interface in the image is positioned by using the established deep learning model, and the position of the USB interface is framed. The deep learning model can be obtained by using a MASK-RCNN detection framework, using Resnet101 to extract features, generating a candidate region by RPN, then accessing to a category prediction and rectangular frame prediction network in parallel, and training. And performing coordinate conversion on the positioned USB interface, and converting the coordinate into a coordinate under a physical coordinate system of the equipment where the USB interface is positioned, so as to obtain the position information of the USB on the equipment.
In an embodiment of the present application, in step S14, performing smoothing processing on the multiple groups of scanning distances by using an exponential weighted average to obtain processed scanning distances; calculating the slope of each processed scanning distance, and removing the abnormal scanning distance according to the calculated slope to obtain a target scanning distance; and sequencing the target scanning distances, and determining the maximum depth of the target USB interface according to the sequenced target scanning distances and a preset quantile. When the maximum depth of the USB interface is determined, the original numerical value of the scanning result may be smoothed by using an exponential weighted average, the slope of each point is calculated for the numerical value after the smoothing, and when the slope is higher than a normal value, the abnormal point is regarded as an abnormal point, and the abnormal point is excluded to obtain a target scanning distance, that is, the target scanning distance is the smoothing result after the abnormal point is excluded. The target scanning distances are sorted, points at 1/10 quantiles are taken as points of minimum values, points at 9/10 quantiles are taken as points of maximum values, and the distance between the points of minimum values and the points of maximum values is calculated as the maximum depth. For example, in the scanning result diagram of the Type-C interface shown in fig. 2, the point of the maximum value is s, the point of the minimum value is e, and the maximum depth is the distance from s to e; also as shown in fig. 3, the scanning result diagram of the USB interface of the device equipped with the ios system is a distance from s to e; in fig. 2 and 3, the line a is an original value of the scanning result, and the line B is the scanning result after being subjected to the smoothing processing by the exponential weighted average.
In an embodiment of the present application, the multiple sets of scanning distances include a first scanning distance obtained by scanning a first boundary point of the target USB interface and a second scanning distance obtained by scanning a second boundary point of the target USB interface, and in step S14, the maximum depth of the target USB interface is determined according to a distance difference between the first scanning distance and the second scanning distance. When the USB interface is horizontally placed opposite to the laser emitting device of the detection machine, the first boundary point of the USB interface is the uppermost end of the USB interface, the second boundary point of the USB interface is the lowermost end of the USB interface, the laser emitting device scans the USB interface up and down, the uppermost end is scanned to obtain a first scanning distance, the lowermost end is scanned to obtain a second scanning distance, and the maximum depth of the target USB interface is determined according to the difference value of the two scanning distances. In an embodiment of the present application, in step S14, the multiple sets of scanning distances may be arranged into a sequence, and the sequence is input into a preset linear regression prediction model, and the output result is taken as the maximum depth of the target USB interface. Here, when the line laser scanning is performed on the USB interface, an irregular image may be scanned, and the irregular image is obtained by scanning different positions of the USB interface, and a result obtained by the scanning needs to be filtered to remove an abnormal value. Specifically, depth detection results of different types of USB interfaces are collected, the deepest depth and the shallowest depth are extracted, a linear regression prediction model is built, scanning results of a target USB interface are sequenced and input into the built linear regression prediction model, the output result is the maximum depth, and abnormal data are automatically removed by the linear regression prediction model.
In an embodiment of the present application, in step S14, the multiple groups of scanning distances may be further arranged in a descending order, an abnormal point in the arranged scanning distances is removed by using a quantile to obtain a scanning distance sequence to be selected, and a maximum distance value in the scanning distance sequence to be selected is selected as a maximum depth of the target USB interface. The scanning distances obtained by scanning may also be arranged in a descending manner, that is, the maximum depth is arranged at the first position, the scanning distances are arranged in sequence according to the depth, the number of quantiles is used to eliminate abnormal points in the arranged scanning distances, for example, 5% of the abnormal points are taken as the ratio, the normal data sequence after eliminating the abnormal points is taken as the scanning distance sequence to be selected, and the maximum distance value is selected as the maximum depth of the target USB interface.
In addition, a computer readable medium is provided in the embodiments of the present application, and computer readable instructions are stored thereon, and the computer readable instructions can be executed by a processor to implement the foregoing method for detecting the depth of a USB interface.
In an embodiment of the present application, there is also provided an apparatus for detecting a depth of a USB interface, the apparatus including:
one or more processors; and
a memory storing computer readable instructions that, when executed, cause the processor to perform the operations of the method as previously described.
For example, the computer readable instructions, when executed, cause the one or more processors to:
acquiring a physical coordinate of equipment where a target USB interface is located;
fixing the equipment where the target USB interface is located according to a preset direction to obtain a fixed position, and keeping a preset distance between the fixed position and the detection equipment;
performing line laser scanning on the USB according to the preset direction based on the physical coordinate of the equipment where the target USB interface is located and the fixed position to obtain a plurality of groups of scanning distances, wherein the laser is emitted by a laser emitting device fixed on the detection equipment;
and determining the maximum depth of the target USB interface according to the multiple groups of scanning distances.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
It should be noted that the present application may be implemented in software and/or a combination of software and hardware, for example, implemented using Application Specific Integrated Circuits (ASICs), general purpose computers or any other similar hardware devices. In one embodiment, the software programs of the present application may be executed by a processor to implement the steps or functions described above. Likewise, the software programs (including associated data structures) of the present application may be stored in a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. Additionally, some of the steps or functions of the present application may be implemented in hardware, for example, as circuitry that cooperates with the processor to perform various steps or functions.
In addition, some of the present application may be implemented as a computer program product, such as computer program instructions, which when executed by a computer, may invoke or provide methods and/or techniques in accordance with the present application through the operation of the computer. Program instructions which invoke the methods of the present application may be stored on a fixed or removable recording medium and/or transmitted via a data stream on a broadcast or other signal-bearing medium and/or stored within a working memory of a computer device operating in accordance with the program instructions. An embodiment according to the present application comprises an apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the apparatus to perform a method and/or a solution according to the aforementioned embodiments of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. The terms first, second, etc. are used to denote names, but not any particular order.
Claims (8)
1. A method for detecting USB interface depth, the method comprising:
acquiring a physical coordinate of equipment where a target USB interface is located;
fixing the equipment where the target USB interface is located according to a preset direction to obtain a fixed position, and keeping a preset distance between the fixed position and the detection equipment;
performing line laser scanning on the USB according to the preset direction based on the physical coordinate of the equipment where the target USB interface is located and the fixed position to obtain a plurality of groups of scanning distances, wherein the laser is emitted by a laser emitting device fixed on the detection equipment;
determining the maximum depth of the target USB interface according to the multiple groups of scanning distances;
the acquiring of the physical coordinates of the device where the target USB interface is located includes:
and determining the physical coordinates of the equipment where the target USB interface is located according to the positioning information of the target USB interface in the image information.
2. The method according to claim 1, wherein determining the physical coordinates of the device where the target USB interface is located according to the positioning information of the target USB interface in the image information comprises:
acquiring image information of a target USB interface;
positioning the target USB interface in the image information of the target USB interface to obtain the positioning information of the target USB interface, wherein the positioning information comprises coordinate information of the target USB interface in an image;
and converting the coordinate information into the physical coordinate of the equipment where the target USB interface is located.
3. The method of claim 1, wherein determining the maximum depth of the target USB interface according to the plurality of sets of scanning distances comprises:
performing smoothing processing on the plurality of groups of scanning distances by using exponential weighted average to obtain processed scanning distances;
calculating the slope of each processed scanning distance, and removing the abnormal scanning distance according to the calculated slope to obtain a target scanning distance;
and sequencing the target scanning distances, and determining the maximum depth of the target USB interface according to the sequenced target scanning distances and a preset quantile.
4. The method of claim 1, wherein the plurality of sets of scanning distances includes a first scanning distance obtained by scanning a first boundary point of the target USB interface and a second scanning distance obtained by scanning a second boundary point of the target USB interface, and wherein determining the maximum depth of the target USB interface according to the plurality of sets of scanning distances comprises:
and determining the maximum depth of the target USB interface according to the distance difference between the first scanning distance and the second scanning distance.
5. The method of claim 1, wherein determining the maximum depth of the target USB interface according to the plurality of sets of scanning distances comprises:
and arranging the multiple groups of scanning distances into a sequence, inputting the sequence into a preset linear regression prediction model, and taking an output result as the maximum depth of the target USB interface.
6. The method of claim 1, wherein determining the maximum depth of the target USB interface according to the plurality of sets of scanning distances comprises:
and arranging the plurality of groups of scanning distances in a descending manner, removing abnormal points in the arranged scanning distances by using quantiles to obtain a scanning distance sequence to be selected, and selecting the maximum distance value from the scanning distance sequence to be selected as the maximum depth of the target USB interface.
7. An apparatus for detecting a depth of a USB interface, the apparatus comprising:
one or more processors; and
memory storing computer readable instructions that, when executed, cause the processor to perform the operations of the method of any of claims 1 to 6.
8. A computer readable medium having computer readable instructions stored thereon which are executable by a processor to implement the method of any one of claims 1 to 6.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010072755.8A CN111256609B (en) | 2020-01-21 | 2020-01-21 | Method and device for detecting USB interface depth |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010072755.8A CN111256609B (en) | 2020-01-21 | 2020-01-21 | Method and device for detecting USB interface depth |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111256609A CN111256609A (en) | 2020-06-09 |
CN111256609B true CN111256609B (en) | 2021-09-10 |
Family
ID=70948230
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010072755.8A Active CN111256609B (en) | 2020-01-21 | 2020-01-21 | Method and device for detecting USB interface depth |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111256609B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11798250B2 (en) | 2019-02-18 | 2023-10-24 | Ecoatm, Llc | Neural network based physical condition evaluation of electronic devices, and associated systems and methods |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007040736A (en) * | 2005-08-01 | 2007-02-15 | Sumitomo Electric Ind Ltd | Shape measuring apparatus |
CN202083352U (en) * | 2011-05-20 | 2011-12-21 | 东莞市三姆森光电科技有限公司 | Automatic optical detection system for MICRO-USB connector |
CN204346362U (en) * | 2014-12-24 | 2015-05-20 | 昆山视杰维光电科技有限公司 | USB interface image acquisition detection system |
CN108592847A (en) * | 2018-07-27 | 2018-09-28 | Oppo(重庆)智能科技有限公司 | The method that the groove depth of electronic device is measured using measuring device |
CN109932580A (en) * | 2017-12-16 | 2019-06-25 | 神讯电脑(昆山)有限公司 | USB interface detection device |
CN110271928A (en) * | 2019-05-23 | 2019-09-24 | 浙江新再灵科技股份有限公司 | A kind of elevator reset operation recognition methods |
-
2020
- 2020-01-21 CN CN202010072755.8A patent/CN111256609B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007040736A (en) * | 2005-08-01 | 2007-02-15 | Sumitomo Electric Ind Ltd | Shape measuring apparatus |
CN202083352U (en) * | 2011-05-20 | 2011-12-21 | 东莞市三姆森光电科技有限公司 | Automatic optical detection system for MICRO-USB connector |
CN204346362U (en) * | 2014-12-24 | 2015-05-20 | 昆山视杰维光电科技有限公司 | USB interface image acquisition detection system |
CN109932580A (en) * | 2017-12-16 | 2019-06-25 | 神讯电脑(昆山)有限公司 | USB interface detection device |
CN108592847A (en) * | 2018-07-27 | 2018-09-28 | Oppo(重庆)智能科技有限公司 | The method that the groove depth of electronic device is measured using measuring device |
CN110271928A (en) * | 2019-05-23 | 2019-09-24 | 浙江新再灵科技股份有限公司 | A kind of elevator reset operation recognition methods |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11798250B2 (en) | 2019-02-18 | 2023-10-24 | Ecoatm, Llc | Neural network based physical condition evaluation of electronic devices, and associated systems and methods |
Also Published As
Publication number | Publication date |
---|---|
CN111256609A (en) | 2020-06-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US8374454B2 (en) | Detection of objects using range information | |
CN110675399A (en) | Screen appearance flaw detection method and equipment | |
CN109886928B (en) | Target cell marking method, device, storage medium and terminal equipment | |
CN111291661B (en) | Method and equipment for identifying text content of icon in screen | |
CN109086780B (en) | Method and device for detecting electrode plate burrs | |
CN110827249A (en) | Electronic equipment backboard appearance flaw detection method and equipment | |
CN109284700B (en) | Method, storage medium, device and system for detecting multiple faces in image | |
CN110827246A (en) | Electronic equipment frame appearance flaw detection method and equipment | |
CN111680750A (en) | Image recognition method, device and equipment | |
CN111256609B (en) | Method and device for detecting USB interface depth | |
CN110728193B (en) | Method and device for detecting richness characteristics of face image | |
US20180293425A1 (en) | Symbol Detection for Desired Image Reconstruction | |
US9286217B2 (en) | Systems and methods for memory utilization for object detection | |
CN111768405A (en) | Method, device, equipment and storage medium for processing annotated image | |
CN113466839A (en) | Side-scan sonar sea bottom line detection method and device | |
CN115564776B (en) | Abnormal cell sample detection method and device based on machine learning | |
CN111292374B (en) | Method and equipment for automatically plugging and unplugging USB interface | |
CN111126286A (en) | Vehicle dynamic detection method and device, computer equipment and storage medium | |
CN110880023A (en) | Method and device for detecting certificate picture | |
CN116524477A (en) | Method and system for identifying detection result of detection box | |
CN114240928B (en) | Partition detection method, device and equipment for board quality and readable storage medium | |
CN111327745B (en) | Method and equipment for testing silencing key of mobile terminal | |
CN113689378B (en) | Determination method and device for accurate positioning of test strip, storage medium and terminal | |
CN114693554A (en) | Big data image processing method and system | |
CN110135426B (en) | Sample labeling method and computer storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB02 | Change of applicant information | ||
CB02 | Change of applicant information |
Address after: Room 1101-1103, No. 433, Songhu Road, Yangpu District, Shanghai Applicant after: Shanghai wanwansheng Environmental Protection Technology Group Co.,Ltd. Address before: Room 1101-1103, No. 433, Songhu Road, Yangpu District, Shanghai Applicant before: SHANGHAI YUEYI NETWORK INFORMATION TECHNOLOGY Co.,Ltd. |
|
GR01 | Patent grant | ||
GR01 | Patent grant |