CN114218027A

CN114218027A - Auxiliary method and device for screen detection

Info

Publication number: CN114218027A
Application number: CN202111473468.9A
Authority: CN
Inventors: 黄际雷; 杨德文
Original assignee: Beijing Dewei Wisdom Technology Co ltd
Current assignee: Beijing Dewei Wisdom Technology Co ltd
Priority date: 2021-11-29
Filing date: 2021-11-29
Publication date: 2022-03-22

Abstract

The invention provides an auxiliary method and a device for screen detection, wherein the method comprises the following steps: receiving a first input of a user; responding to the first input, and displaying a group of target pictures on a screen to be detected; receiving a second input of the user; responding to the second input, and acquiring a target area under each target picture; and judging the target area under each target picture based on the target rule in the first input to generate the detection result of the screen to be detected. The auxiliary method and the device for screen detection provided by the invention display various target pictures on the screen to be detected based on receiving and responding to the first input, count, measure, calculate and judge target areas under the target pictures by receiving and responding to the second input and combining with preset target rules, and obtain the detection result of the screen to be detected. The automatic judgment of the manually selected defect area can be realized, and the accuracy and the efficiency of manually detecting the screen are improved.

Description

Auxiliary method and device for screen detection

Technical Field

The invention relates to the technical field of computers, in particular to an auxiliary method and device for screen detection.

Background

For electronic devices with display screens, the detection of the display screen has become an essential step. Although identification can be based on optical identification, it cannot be completely removed from manual detection. Especially when the number of objects to be detected is small, manual detection is still the optimal choice.

In the prior art, the problems of inconvenient recording, inaccurate position, slow judgment and low recording efficiency exist in manual detection, so that the accuracy and the efficiency of the manual detection are low.

Disclosure of Invention

The invention provides an auxiliary method and device for screen detection, which are used for solving the defects of low accuracy and efficiency in judging screen defects by only manually marking in the prior art, realizing defect marking by manpower, and executing defect judgment by a computer to improve the accuracy and efficiency.

The invention provides an auxiliary method for screen detection, which comprises the following steps:

receiving a first input of a user;

responding to the first input, and displaying a group of target pictures on a screen to be detected;

receiving a second input of the user;

responding to the second input, and acquiring a target area under each target picture;

judging a target area under each target picture based on a target rule in the first input to generate a detection result of the screen to be detected;

wherein the first input comprises at least a light intensity threshold, the target rule, a pixel size and a resolution of the screen to be detected.

According to the auxiliary method for screen detection provided by the invention, the step of acquiring the target area under each target picture comprises the following steps:

acquiring the target area based on the target candidate box in the second input;

wherein the target region includes a defect type corresponding to the target candidate box;

the determining the target area under each target picture based on the target rule in the first input to generate the detection result of the screen to be detected includes:

and judging the defects under the target area based on the target rule under the condition that the target pictures have the same target area, and generating the detection result of the screen to be detected.

According to the auxiliary method for screen detection provided by the invention, the target picture sequentially comprises one or more of a white picture, a black picture, a red picture, a blue picture and a green picture with consistent gray scale.

According to the auxiliary method for the screen detection, the defect type comprises one or more of point defect, line defect and surface defect;

the target candidate box includes one or more of a point candidate box, a line candidate box, and a face candidate box.

According to the auxiliary method for screen detection provided by the present invention, the obtaining a target area of a defect type corresponding to a target candidate frame based on the target candidate frame in the second input includes:

receiving a first sub-input of a user;

and responding to the first sub-input, adjusting the attribute of the target candidate box, and acquiring the target area.

According to the auxiliary method for screen detection provided by the present invention, before the responding to the first input and displaying a group of target pictures on the screen to be detected, the method further comprises:

acquiring the illumination intensity of the current environment;

under the condition that the illumination intensity of the current environment does not meet a first preset condition, adjusting the illumination intensity of the environment until the illumination intensity of the environment meets the first preset condition, and displaying the group of target pictures on the screen to be detected;

wherein the first preset condition is set according to the light intensity threshold.

The invention also provides an auxiliary device for screen detection, comprising:

the first receiving module is used for receiving a first input of a user;

the first response module is used for responding to the first input and displaying a group of target pictures on the screen to be detected;

the second receiving module is used for receiving a second input of the user;

the second response module is used for responding to the second input and acquiring a target area under each target picture;

wherein the first input comprises a pixel size and a resolution of the screen to be detected, and a light intensity threshold.

The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of any one of the screen detection auxiliary methods.

The invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the method of assisting in screen detection as described in any of the above.

The present invention also provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of the screen detection assistance method according to any one of the above.

The auxiliary method and the device for screen detection provided by the invention display various target pictures on the screen to be detected based on receiving and responding to the first input, count, measure, calculate and judge target areas under the target pictures by receiving and responding to the second input and combining with preset target rules, and obtain the detection result of the screen to be detected. The automatic judgment of the manually selected defect area can be realized, and the accuracy and the efficiency of manually detecting the screen are improved.

Drawings

In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.

FIG. 1 is a flow chart of an auxiliary method for screen detection according to the present invention;

FIG. 2 is a schematic diagram of a target candidate box of the screen detection assistance method provided by the present invention;

FIG. 3 is a schematic structural diagram of an auxiliary device for screen inspection according to the present invention;

fig. 4 is a schematic structural diagram of an electronic device provided in the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that embodiments of the application may be practiced in sequences other than those illustrated or described herein, and that the terms "first," "second," and the like are generally used herein in a generic sense and do not limit the number of terms, e.g., the first term can be one or more than one.

It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

Fig. 1 is a schematic flow chart of an auxiliary method for screen detection according to the present invention. As shown in fig. 1, the method for assisting screen detection provided by the embodiment of the present invention includes: step 101, receiving a first input of a user.

Wherein the first input comprises a pixel size and resolution of the screen to be detected, and a light intensity threshold.

It should be noted that the execution subject of the auxiliary method for screen detection provided by the embodiment of the present invention is an auxiliary device for screen detection.

The application scenario of the auxiliary method for screen detection provided by the embodiment of the invention is that the auxiliary device for screen detection is supported on a computer to run the auxiliary method for screen detection, so that the defect detection is carried out on the screen to be detected connected with the computer.

The screen to be detected includes, but is not limited to, a display screen of an electronic device such as a mobile phone, a tablet Computer, a Personal Digital Assistant (PDA), a Personal Computer (PC), and the like.

Different types of display screens for defect detection are connected in different ways to the computer on which the auxiliary device for screen detection is based.

Illustratively, the screen is a display screen in a display, and the display may be connected to a computer through a data line.

Specifically, in step 101, a user may input a first input to a development tool corresponding to an auxiliary device for screen detection based on a procedure of building a detection environment for a screen to be detected according to a detection standard of the screen to be detected.

The first input is used for building a detection environment aiming at a screen to be detected. The first input includes relevant parameters of the screen to be detected. The embodiment of the present invention is not particularly limited thereto.

Illustratively, the first input includes, but is not limited to, light intensity threshold, target rule, pixel size and resolution of the screen to be detected.

The light intensity threshold refers to the illumination requirement of the detection environment corresponding to the screen to be detected.

The target rule refers to a detection standard corresponding to a screen to be detected.

The pixel size refers to the size of one pixel in the screen to be detected. The single pixels are all rectangular, and the pixel size is equal to the size of each side.

The resolution, which is the precision of the screen image, refers to the number of pixels that can be displayed on the screen to be detected.

The user can complete the construction of a detection environment for a certain screen to be detected in the auxiliary device for screen detection through the first input.

Optionally, the first input may be a touch input, a voice input, a gesture input, or a key input to a number of controls in the development tool. The first input may also be a first operation, including an instruction in a flow for setting up a detection environment for a screen to be detected.

And 102, responding to the first input, and displaying a group of target pictures on the screen to be detected.

Specifically, in step 102, after receiving the first input in step 101, the auxiliary device for screen detection sequentially executes corresponding operations according to instructions included in the first input, displays various target pictures on the screen to be detected after the detection environment is established, and performs picture switching at certain time intervals.

The target pictures refer to various pure-color pictures for detecting screen defects. The target picture is used for detecting whether the screen has defects under the condition of displaying the picture.

The embodiment of the present invention does not specifically limit the target screen.

The color type of the target picture mainly depends on the color channel of the screen to be detected, and at least a white picture and a black picture should be included in addition to the colors corresponding to different channels.

Preferably, the image size of the target picture is equal to the corresponding numerical value of the resolution of the screen to be detected, each pixel value in the target picture is equal, and the target picture is composed of at least three channels of numerical values. For example, any pixel value of a white picture may be [255, 255, 255 ].

It is to be understood that the time interval of the picture switching is not particularly limited in the embodiment of the present invention.

For example, the time interval of screen switching may be set by the user in the first input for the time interval of automatic switching. The time interval of the screen switching may be manually switched to the next target screen after the user completes the operation on the currently displayed target screen.

And 103, receiving a second input of the user.

Specifically, in step 103, the user may input a second input to the development tool corresponding to the auxiliary device for screen inspection based on the process of circling the defect area in the screen to be inspected according to the criterion for determining the screen defect.

And the second input is used for circling the defect area in the screen to be detected. The user can drag the graphic element corresponding to the selection component to the screen area displaying the target picture or place the graphic element in the screen area displaying the target picture by one key through second input, namely, the selection of a defect area aiming at a certain screen to be detected is completed in an auxiliary device for screen detection.

Optionally, the second input may be touch input, voice input, gesture input, or key input to a plurality of controls in the development tool. The second input may also be a second operation comprising instructions in the flow for circling the defective area in the screen to be detected a plurality of times.

And 104, responding to the second input, and acquiring a target area under each target picture.

Specifically, in step 104, after receiving the second input in step 103, the auxiliary device for screen detection sequentially executes corresponding operations according to instructions included in the second input, manually marks a target area with a defect on a target picture currently displayed on the screen to be detected after the detection environment is established, and then executes a uniform marking process on a next target picture after marking is finished until all of one group or all of the target pictures are marked.

And judging the target area under each target picture based on the target rule in the first input to generate a detection result of the screen to be detected.

It should be noted that any one pixel point in the screen to be detected cannot display or sense different color channels of the same point. The plurality of sub-pixels are arranged at the position of the pixel point, so that each sub-pixel processes one color channel.

For example, a Liquid Crystal Display (LCD) screen typically breaks each pixel horizontally into 3 sub-pixels, each sensing red, green, and blue colors, respectively. Most display screens constructed based on Light-Emitting diodes (LEDs) break down each pixel into 4 sub-pixels, one red sub-pixel, two green sub-pixels, and one blue sub-pixel.

Specifically, in step 104, the auxiliary device for screen detection performs counting, measurement calculation and judgment according to the acquired target area under each target picture in combination with a target rule preset by the first input, so as to acquire a detection result of the screen to be detected.

The detection result of the screen to be detected refers to whether the circled area of the screen to be detected has defects under the current displayed target picture, and whether the screen to be detected is a qualified screen is judged according to the defect condition.

In the prior art, when a user performs manual detection on a screen to be detected, the user needs to judge and select defect areas, and if the number of the selected defect areas reaches a certain threshold, the screen to be detected is considered to be an unqualified product, so that the accuracy and efficiency of the manual detection on the screen by the user are low.

In the embodiment of the invention, the user selects the target area which is considered to have the defects in various target pictures through the second input, and the auxiliary device for screen detection judges the defects in the area.

The embodiment of the invention displays various target pictures on the screen to be detected based on receiving and responding to the first input, counts, measures, calculates and judges the target area under each target picture by receiving and responding to the second input and combining with the preset target rule, and obtains the detection result of the screen to be detected. The automatic judgment of the manually selected defect area can be realized, and the accuracy and the efficiency of manually detecting the screen are improved.

On the basis of any of the above embodiments, acquiring a target area under each target screen includes: and acquiring a target area based on the target candidate box in the second input.

Wherein the target area includes a defect type corresponding to the target candidate box.

It should be noted that the candidate frame refers to a graphic tool for marking defects, and for different types of screen defects, the candidate frame corresponds to different shapes.

The target candidate frame refers to a candidate frame corresponding to a certain type of defect.

In step 103, after determining the defect type of a place, the user selects a target candidate box corresponding to the defect type based on the second input, and drags to or places a key at the place.

Specifically, in step 104, after receiving the second input under each target screen, the auxiliary device for screen detection extracts a target area of the currently displayed target screen within the target candidate frame according to the shape, size and position indicated by the target candidate frame.

Based on a target rule in the first input, judging target areas under each target picture to generate a detection result of a screen to be detected, wherein the detection result comprises the following steps: and under the condition that the plurality of target pictures have the same target area, judging the defects under the target area based on the target rule, and generating a detection result of the screen to be detected.

Specifically, in step 104, in the case where the user marks the target area at the same position in the plurality of target screens, the target rule corresponding to the defect type included in the target area is followed. Counting, measuring, calculating and judging the defects in the target area under different target pictures to generate a detection result of the screen to be detected.

The target rule and the decision rule are not particularly limited in the embodiments of the present invention.

The user may define the decision criteria for various defects in the first input.

Illustratively, the pixel size may be 0.136mm by 0.136mm, 2 are allowed for non-vanishing sub-pixel defects, the pitch of 2 non-vanishing sub-pixel defects cannot be less than 5mm, and 3 are allowed for non-bright sub-pixel defects.

The auxiliary device for screen detection automatically identifies, counts and calculates the marked defects and judges the defects according to the judgment standard of the defects. Taking the non-vanishing sub-pixel defect as an example, except that the black frame is marked, if the red frame is not marked, it is indicated that there is a sub-pixel defect, and the sub-pixel with the defect corresponds to the red channel.

If the three frames of the red frame, the green frame and the blue frame are marked, the defect of more than one sub-pixel exists.

If there are multiple sub-pixel defects, the distance between the defects is calculated according to the sub-pixel defect position and the sub-pixel size, for example, there are two non-vanishing sub-pixel defects, the 1 st non-vanishing sub-pixel defect position is in the 10 th column and 8 th row, the 2 nd non-vanishing sub-pixel defect is in the 30 th column and 5 th row, then the distance between the two non-vanishing sub-pixels is:

and if the screen size is less than 5mm, judging that the screen to be detected is an unqualified product.

The embodiment of the invention acquires the target area corresponding to the defect type through the target candidate frame based on receiving and responding to the second input, counts, measures, calculates and judges the target area under each target picture by combining a preset target rule, and acquires the detection result about the defect in the screen to be detected. The automatic judgment of the manually selected defect area can be realized, and the accuracy and the efficiency of manually detecting the screen are improved.

On the basis of any one of the above embodiments, the target picture sequentially includes one or more of a white picture, a black picture, a red picture, a blue picture and a green picture with consistent gray scale.

Specifically, in step 102, after the detection environment of the screen to be detected is established, the target pictures are sequentially displayed in the screen in sequence.

The embodiment of the invention does not specifically limit the target picture.

Alternatively, the target picture may be white to detect whether there are non-bright pixels in the screen.

Alternatively, the target picture may be black to detect whether there are pixels in the screen that are not dead.

Alternatively, the target picture may be colors corresponding to different channels, i.e., a red picture, a blue picture and a green picture, so as to detect whether the sub-pixels of the corresponding channels have defects.

Preferably, all the target pictures displayed by the screen to be detected have the same gray scale.

Firstly, displaying a white picture, marking a target area with defects according to a second input, displaying a black picture to mark the target area, and accordingly determining the basic type of the defects, namely, unfinished pixel points or unfinished pixel points.

Finally, marking target areas by a red picture, a blue picture and a green picture are respectively displayed, and the sub-pixel or sub-pixels to which the pixel with the defect belongs can be determined in sequence. The display order of the red, blue and green screens is not particularly limited.

The embodiment of the invention is based on the content and sequence of a group of target pictures, and the target area of each target picture is manually selected and is automatically counted, measured, calculated and judged by combining with the preset target rule, so that the detection result about the defect in the screen to be detected is obtained. The automatic judgment of the manually selected defect area can be realized, and the accuracy and the efficiency of manually detecting the screen are improved.

On the basis of any of the above embodiments, the defect type includes one or more of a point defect, a line defect, and an area defect.

Specifically, the defect types can be roughly classified into three types of points, lines, and planes according to the representation form of the defect according to the standard in the industry.

The defect type is not particularly limited in the embodiments of the present invention.

Optionally, the defect type may be a point defect, and is specifically divided into a bright point defect and a dark point defect according to the operating condition of the pixel point.

Optionally, the defect type may be a line defect, and specifically divided into a bright line defect and a dark line defect according to the operating condition of each pixel point on the line.

Further, the defect types may be classified into linear defects and curved defects according to the shape of the line.

Optionally, the defect type may be a surface defect, and is specifically divided into a bright surface defect and a dark surface defect according to the operation condition of each pixel point in the surface.

Further, the defect types may be classified into regular planar defects and irregular planar defects according to the planar shape.

Specifically, the shape of the target candidate box may be roughly classified into three types, i.e., a point, a line, and a plane, according to the shape of the defect type.

Fig. 2 is a schematic diagram of a target candidate box of the screen detection assisting method provided by the present invention. As shown in fig. 2, the target candidate box may include a circle including a center, a straight line, a curve, an ellipse, an irregular figure, and a custom figure.

Alternatively, the target candidate frame may be a circle containing a center of circle, and the corresponding defect type is a point defect, where the center of circle in the target candidate frame is used to locate a pixel point position where the point defect exists.

Optionally, the target candidate frame may be a straight line, and the corresponding defect type is a straight line defect, where two end points in the target candidate frame are used to locate pixel positions of the two end points having the straight line defect.

Optionally, the target candidate frame may be a curve, and the corresponding defect type is a curve defect, where two end points in the target candidate frame are used to locate pixel positions of the two end points having the curve defect.

Optionally, the target candidate frame may be an ellipse, and the corresponding defect type is a regular elliptical defect, where 4 axis points in the target candidate frame are used to locate a pixel point position existing within the ellipse, so that an ellipse formed by the 4 axis points may completely cover the elliptical defect.

Optionally, the target candidate frame may be an irregular shape, and the corresponding defect type is an irregular defect, where the plurality of anchor points in the target candidate frame are used to locate the positions of the pixel points existing within the irregular shape, so that the irregular figure formed by the plurality of anchor points may completely cover the irregular defect.

Optionally, the target candidate frame may be a custom graph, and the corresponding defect type is a regular or irregular plane defect, where an area range of the target candidate frame is used to completely cover a pixel point range where the regular or irregular plane defect exists.

The embodiment of the invention defines and applies the corresponding target candidate frame to manually select the target area based on different defect types, and then automatically counts, measures, calculates and judges the target area under each target picture by combining the preset target rule to obtain the detection result about the defect in the screen to be detected. The automatic judgment of the manually selected defect area can be realized, and the accuracy and the efficiency of manually detecting the screen are improved.

On the basis of any of the above embodiments, acquiring a target region of a defect type corresponding to a target candidate frame based on the target candidate frame in the second input includes: a first sub-input of a user is received.

Specifically, in step 103, the user may input the first sub-input to the development tool corresponding to the auxiliary device for screen detection according to the process of adjusting the position and size of the target candidate frame.

And the first sub-input is used for adjusting the position and the size of the target candidate frame. The user can drag the target candidate frame to or place the target candidate frame in a screen area where the target picture is displayed through the first sub-input, and adaptively adjust the size of the target candidate frame according to the coverage range of the defect.

Optionally, the first sub-input may be a touch input, a voice input, a gesture input, or a key input to a number of controls in the development tool. The first sub-input may also be a first sub-operation, including instructions in the flow for adding the target candidate box in the target screen multiple times and making corresponding adjustments.

Specifically, in step 104, after receiving the first sub-input, the auxiliary device for screen detection sequentially executes corresponding operations according to instructions included in the first sub-input, displays each target frame on the screen to be detected, determines an adjusted target candidate frame according to the setting parameters of the attributes of the target candidate frame, and gives the target candidate frame to obtain the target area under the target frame.

The attribute of the target candidate frame adjustment is not particularly limited in the embodiment of the present invention.

Alternatively, the attribute adjusted for the target candidate box may be a size attribute of the target candidate box.

For example, in the case that a straight line defect exists in the target picture, the width and the length of the target candidate frame in the shape of a straight line are adjusted so that the rectangular area formed by the target candidate frame can completely cover the straight line defect.

Alternatively, the attribute adjusted for the target candidate frame may be a shape attribute of the target candidate frame.

For example, for the case that the irregular plane defect exists in the target picture, the target candidate frame with the customized shape is adjusted to the corresponding position by different control nodes, so that the irregular graphic area formed by the target candidate frame can completely cover the irregular plane defect.

The method and the device for detecting the defects in the screen to be detected have the advantages that based on the fact that the first sub-input is received and responded, the attributes of different target candidate frames are adjusted in an adaptive mode, the manually selected target area is obtained, then the preset target rule is combined, the target area under each target picture is counted, measured, calculated and judged automatically, and the detection result of the defects in the screen to be detected is obtained. The automatic judgment of the manually selected defect area can be realized, and the accuracy and the efficiency of manually detecting the screen are improved.

On the basis of any of the above embodiments, before displaying a set of target pictures on a screen to be detected in response to a first input, the method further includes: and acquiring the illumination intensity of the current environment.

Specifically, after a detection environment is built and before a target picture is displayed, the auxiliary device for screen detection acquires the illumination intensity of the current environment.

And under the condition that the illumination intensity of the current environment does not meet the first preset condition, adjusting the illumination intensity of the environment until the illumination intensity of the environment meets the first preset condition, and displaying a group of target pictures on the screen to be detected.

Wherein the first preset condition is set according to the light intensity threshold value. It should be noted that the first preset condition refers to an illumination limitation condition in the detection environment corresponding to the screen to be detected. The first preset condition may be set based on a light intensity threshold in the first input.

The setting of the first preset condition is not particularly limited in the embodiment of the present invention.

Illustratively, if the light intensity threshold is a single value. The first preset condition may be less than or equal to the light intensity threshold.

The first preset condition may also be greater than or equal to the light intensity threshold.

Illustratively, if the light intensity threshold is a value interval. The first preset condition may be that it is within a certain light intensity threshold interval.

Specifically, the auxiliary device for screen detection compares the illumination intensity of the current environment with a first preset condition preset when the detection environment is built.

If the illumination intensity of the current environment meets the first preset condition, the current detection environment is indicated to be suitable for human eyes to observe a target picture displayed by a screen to be detected. The auxiliary device for screen inspection may sequentially display different target images in order.

If the illumination intensity of the current environment does not meet the first preset condition, it indicates that the current detection environment is not suitable for human eyes to observe the target picture displayed on the screen to be detected. The auxiliary device for screen detection needs to drive an external light source to adjust, so that after the illumination intensity of the current environment meets a first preset condition, different target images are sequentially displayed in sequence for defect marking.

The detection environment is detected, judged and adjusted based on the illumination intensity of the current environment, and when the illumination intensity does not meet the first preset condition, the detection environment is dynamically adjusted to meet the first preset condition, and the target picture is displayed. And then, acquiring a manually selected target area through the target candidate frame, and automatically counting, measuring, calculating and judging the target area under each target picture by combining a preset target rule to acquire a detection result about the defect in the screen to be detected. The automatic judgment of the manually selected defect area can be realized, and the accuracy and the efficiency of manually detecting the screen are improved.

Fig. 3 is a schematic structural diagram of an auxiliary device for screen detection provided by the present invention. As shown in fig. 3, the apparatus includes: a first receiving module 310, a first responding module 320, a second receiving module 330, and a second responding module 340, wherein:

the first receiving module 310 is configured to receive a first input from a user.

The first response module 320 is configured to display a set of target pictures on the screen to be detected in response to the first input.

The second receiving module 330 is configured to receive a second input from the user.

And a second response module 340, configured to, in response to the second input, acquire a target area in each target screen.

Specifically, the first receiving module 310, the first responding module 320, the second receiving module 330, and the second responding module 340 are electrically connected in sequence.

The user in the first receiving module 310 may input the first input to a development tool corresponding to the auxiliary device for screen detection based on a procedure of building a detection environment for the screen to be detected according to the detection standard of the screen to be detected.

After receiving the first input from the first receiving module 310, the first responding module 320 sequentially executes corresponding operations according to instructions included in the first input, displays various target pictures on a screen to be detected after a detection environment is established, and switches pictures at a certain time interval.

The user in the second receiving module 330 may input a second input to the development tool corresponding to the auxiliary device for screen inspection based on the process of circling the defective area in the screen to be inspected according to the criterion for determining the screen defect.

After the second response module 340 receives the second input in the second receiving module 330, the auxiliary device for screen detection sequentially executes corresponding operations according to instructions included in the second input, after a detection environment is established, manually marks a target area with a defect on a target picture currently displayed on a screen to be detected, and after marking is finished, a next target picture executes a systematic marking process until all of a group or all of the target pictures are marked.

And according to the obtained target area under each target picture, counting, measuring, calculating and judging by combining with a target rule preset through a first input so as to obtain the detection result of the screen to be detected.

The detection result of the screen to be detected refers to whether the defined area of the screen to be detected has defects under the current displayed target picture, and whether the screen to be detected is a qualified screen is judged according to the defect condition.

Optionally, the second response module 340 comprises a candidate unit and a decision unit, wherein:

and the candidate unit is used for acquiring the target area based on the target candidate frame in the second input.

And the judging unit is used for judging the defects under the target areas based on the target rules and generating the detection result of the screen to be detected under the condition that the plurality of target pictures have the same target areas.

Optionally, the target picture sequentially includes one or more of a white picture, a black picture, a red picture, a blue picture and a green picture with consistent gray scale.

Optionally, the defect type includes one or more of a point defect, a line defect, and an area defect.

Optionally, the second response module 340 includes a third receiving unit and an adjusting unit, wherein:

and the third receiving unit is used for receiving the first sub-input of the user.

And the adjusting unit is used for responding to the first sub-input, adjusting the attribute of the target candidate frame and acquiring the target area.

Optionally, the apparatus further comprises a detection module and an adjustment module, wherein:

and the detection module is used for acquiring the illumination intensity of the current environment.

And the adjusting module is used for adjusting the illumination intensity of the environment until the illumination intensity of the environment meets the first preset condition under the condition that the illumination intensity of the current environment does not meet the first preset condition, and displaying a group of target pictures on the screen to be detected.

Wherein the first preset condition is set according to the light intensity threshold value.

The auxiliary device for screen detection provided in the embodiment of the present invention is used for executing the auxiliary method for screen detection provided in the present invention, and the implementation manner of the auxiliary device for screen detection provided in the embodiment of the present invention is consistent with that of the auxiliary method for screen detection provided in the present invention, and the same beneficial effects can be achieved, and details are not repeated here.

Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor)410, a communication Interface 420, a memory (memory)430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. The processor 410 may call logic instructions in the memory 430 to perform a screen detection assistance method, the method comprising: receiving a first input of a user; responding to a first input, and displaying a group of target pictures on a screen to be detected; receiving a second input of the user; responding to the second input, and acquiring a target area under each target picture; judging target areas under each target picture based on a target rule in the first input to generate a detection result of the screen to be detected; wherein the first input comprises at least a light intensity threshold, a target rule, a pixel size and a resolution of the screen to be detected.

In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

In another aspect, the present invention also provides a computer program product, the computer program product comprising a computer program, the computer program being storable on a non-transitory computer-readable storage medium, the computer program, when executed by a processor, being capable of executing the method for assisting screen detection provided by the above methods, the method comprising: receiving a first input of a user; responding to a first input, and displaying a group of target pictures on a screen to be detected; receiving a second input of the user; responding to the second input, and acquiring a target area under each target picture; judging target areas under each target picture based on a target rule in the first input to generate a detection result of the screen to be detected; wherein the first input comprises at least a light intensity threshold, a target rule, a pixel size and a resolution of the screen to be detected.

In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program, which when executed by a processor implements a method for assisting screen detection provided by the above methods, the method including: receiving a first input of a user; responding to a first input, and displaying a group of target pictures on a screen to be detected; receiving a second input of the user; responding to the second input, and acquiring a target area under each target picture; judging target areas under each target picture based on a target rule in the first input to generate a detection result of the screen to be detected; wherein the first input comprises at least a light intensity threshold, a target rule, a pixel size and a resolution of the screen to be detected.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. An auxiliary method for screen detection, comprising:

receiving a first input of a user;

receiving a second input of the user;

2. The method for assisting screen detection according to claim 1, wherein the acquiring a target area under each target picture comprises:

3. The auxiliary method for screen detection according to claim 1, wherein the target picture comprises one or more of a white picture, a black picture, a red picture, a blue picture and a green picture with consistent gray scale in sequence.

4. The screen inspection auxiliary method according to claim 2, wherein the defect type includes one or more of a point defect, a line defect, and a surface defect;

5. The screen detection auxiliary method according to claim 2, wherein the obtaining a target area of a defect type corresponding to a target candidate frame based on the target candidate frame in the second input comprises:

receiving a first sub-input of a user;

6. The screen detection assistance method according to claim 1, further comprising, before the displaying a set of target pictures on the screen to be detected in response to the first input:

acquiring the illumination intensity of the current environment;

7. An auxiliary device for screen detection, comprising:

the first receiving module is used for receiving a first input of a user;

the second receiving module is used for receiving a second input of the user;

8. An electronic device comprising a memory, a processor and a computer program stored on said memory and executable on said processor, characterized in that said processor, when executing said program, carries out the steps of the method for assisting a screen test according to any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for assisting in screen detection according to any one of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, carries out the steps of a method for assisting a screen detection according to any one of claims 1 to 6.