Screen detection method and device

Obtaining the thickness information of multi-layer structural layer of electronic device screens through OCT technology, solving the problems of strong subjectivity and low accuracy of manual detection in the prior art, and achieving more efficient and accurate screen detection.

CN115035036BActive Publication Date: 2025-03-11转转一零二四(北京)科技有限公司
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Patent Information

Application Number
CN202210501146.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-05-09
Publication Date
2025-03-11
Estimated Expiration
2042-05-09

AI Technical Summary

Technical Problem

The quality inspection of existing second-hand equipment screens relies on manual visual inspection, which has problems such as strong subjectivity, low accuracy, long training time and high cost.

Method used

By performing optical coherence tomography on the screen of the target electronic device, layer thickness information of multiple layer structures in the screen is obtained to determine whether the screen is an original screen or whether there is a non-original layer structure.

Benefits of technology

It improves the accuracy and efficiency of screen detection, reduces the demand for manual training, reduces labor costs and time costs, and provides more objective and reliable inspection results.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present invention relates to a screen detection method and device, the screen detection method comprising: performing optical coherence tomography (OCT) optical imaging processing on the screen of a target electronic device to obtain layer thickness information of multiple layer structures in the screen; determining whether the screen is an original screen of the electronic device and / or determining whether there is a non-original layer structure in the screen according to the layer thickness information of the multiple layer structures. The embodiments of the present invention can be used to detect second-hand electronic devices.
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Description

Technical Field

[0001] The present invention relates to the technical field of terminal equipment detection, and in particular to a screen detection method and device. Background Art

[0002] With the development of science and technology, the update and iteration cycle of electronic devices with screens is getting shorter and shorter, and the transaction of second-hand electronic products is becoming more and more extensive. In the secondary sale process of electronic devices, there is a problem of passing off inferior products as good ones after refurbishing the screen. For example, in the second-hand transaction process of electronic devices with screens such as smart phones, there is a situation where the screen of the electronic device is damaged (for example, the outer glass layer is broken, the middle touch layer fails, or the entire screen is broken, etc.), and after the screen is artificially repaired and refurbished (for example, replacing the intact glass layer, replacing the touch layer, or replacing the entire screen), it is resold as an original screen, which will damage the rights and interests of consumers who purchase second-hand electronic products and the rights and interests of companies that provide second-hand trading platforms. Therefore, the screens of electronic devices in second-hand transactions are usually tested to avoid the situation of counterfeiting.

[0003] However, the existing quality inspection process of second-hand equipment screens mostly relies on staff's naked eye observation (manual visual inspection), carefully distinguishing the differences between the screens of second-hand products and original screens, such as the difference in the color of the screen reflection, the size of the burrs on the edge of the screen display, the overflow of the screen glue, etc. This method of relying on manual visual observation to achieve detection is actually seriously subjective and imprecise, so the accuracy is not guaranteed, and ordinary staff cannot perform manual visual inspections, and need to undergo more professional training to perform manual visual inspections. Therefore, manual visual inspections have problems such as long training time for personnel, increasing labor costs year by year, and long operation time for manual inspections. Both labor costs and time costs are consumed greatly. Summary of the invention

[0004] The embodiments of the present invention provide a screen detection method and device, which can solve at least one of the above technical problems.

[0005] In a first aspect, the present invention provides a screen detection method, wherein the screen is a screen of an electronic device, and the screen detection method comprises: obtaining layer thickness information of multiple layer structures in the screen by performing optical coherence tomography (OCT) optical imaging processing on the screen of the target electronic device; determining whether the screen is an original screen of the electronic device based on the layer thickness information of the multiple layer structures, and / or determining whether there is a non-original layer structure in the screen.

[0006] Optionally, determining whether the screen is an original screen of the electronic device based on the layer thickness information of multiple layer structures includes at least one of the following: determining whether the screen is an original screen of the electronic device based on the total thickness of the multiple layer structures; determining whether the screen is an original screen of the electronic device based on the layer thickness of each layer structure in the multiple layer structures; determining whether the screen is an original screen of the electronic device based on the layer thickness of one or more layer structures specified in the multiple layer structures.

[0007] Optionally, determining whether there is a non-original layer structure in the screen based on layer thickness information of multiple layer structures includes at least one of the following: determining whether each layer structure is a non-original layer structure based on the layer thickness of each layer structure in the multiple layer structures; determining whether a specified layer structure is a non-original layer structure based on the layer thickness of a specified layer structure in the multiple layer structures.

[0008] Optionally, by matching the layer thicknesses of multiple layer structures of the screen of the target electronic device with the layer thicknesses of multiple layer structures in the screen of an original electronic device, it is determined whether the screen of the target electronic device is an original screen, and / or it is determined whether there is a non-original layer structure in the screen of the target electronic device; wherein the original electronic device and the target electronic device meet at least one of the following conditions: the same model, from the same supplier, and the same production batch.

[0009] Optionally, the screen detection method also includes: establishing a thickness information database of original screens of electronic devices based on layer thickness information of multiple layer structures in original screens of multiple types of electronic devices, wherein the thickness information database of original screens of electronic devices is used to match the layer thickness information of multiple layer structures of the screen of the target electronic device to determine whether the screen of the target electronic device is an original screen, and / or determine whether there is a non-original layer structure in the screen of the target electronic device.

[0010] Optionally, determining whether the screen is an original screen of the electronic device and / or determining whether there are non-original layer structures in the screen based on layer thickness information of multiple layer structures includes: inputting the identity information of the target electronic device and the layer thickness information of the multiple layer structures of the screen of the target electronic device into a trained neural network model; receiving a prediction result output by the neural network model, the prediction result including: whether the screen is an original screen of the electronic device and / or whether there are non-original layer structures in the screen; wherein the training data of the neural network model includes at least one of the following: layer thickness information of multiple layer structures in original screens of multiple types of electronic devices, layer thickness information of multiple layer structures in non-original screens of multiple types of electronic devices, original layer structures in non-original screens of multiple types of electronic devices, and layer thickness information of non-original layer structures.

[0011] Optionally, the multiple types of electronic devices include at least one of the following: electronic devices of multiple models, electronic devices of the same model from different suppliers, and electronic devices of the same model from different batches.

[0012] Optionally, determining whether the screen is an original screen of the electronic device based on layer thickness information of multiple layer structures, and / or determining whether there are non-original layer structures in the screen, includes at least one of the following: if the difference between the thickness of multiple layer structures in the screen and the thickness of multiple layer structures in the original screen of the electronic device is within a preset range, then the screen is the original screen of the electronic device; if the difference between the thickness of multiple layer structures in the screen and the thickness of multiple layer structures in the original screen of the electronic device is beyond the preset range, then the screen is not the original screen of the electronic device; if the difference between the thickness of a first layer structure in the multiple layer structures in the screen and the thickness of the first layer structure in the original screen of the electronic device is beyond the preset range, then the first layer structure is a non-original layer structure; if the difference between the thickness of a second layer structure in the multiple layer structures in the screen and the thickness of the second layer structure in the original screen of the electronic device is within the preset range, and the difference between the thickness of a third layer structure in the multiple layer structures in the screen and the thickness of the third layer structure in the original screen of the electronic device is beyond the preset range, then the third layer structure is a non-original layer structure.

[0013] Optionally, layer thickness information of multiple layer structures in the screen is obtained, including: obtaining an OCT interference spectrum image of the screen of the current electronic device; performing Fourier transform on the OCT interference spectrum image to obtain an OCT single-point signal image; performing line scanning on the screen of the current electronic device to obtain an OCT cross-sectional view of the screen; determining the refractive index of each layer structure in the screen; for a single layer structure in the screen, determining the layer thickness information of the layer structure based on the distance between adjacent peaks in the OCT single-point signal image and the refractive index of the layer structure.

[0014] Optionally, the screen detection method further includes: displaying at least one of the following on the display screen: layer thickness information of multiple layer structures in the screen of the current electronic device, an OCT image of the screen of the current electronic device, and a screen detection result of the current electronic device.

[0015] In the second aspect, the present application also provides a screen detection device, which is based on the screen detection method provided in the first aspect, and includes: a workbench, an optical coherence tomography (OCT) detection device, and a processor, wherein the workbench is used to place the OCT detection device; the OCT detection device is used to perform OCT optical imaging processing on the screen of the electronic device to obtain multiple layer thickness information of multiple layer structures in the screen; the processor is used to determine whether the screen is an original screen of the electronic device and / or determine whether there is a non-original layer structure in the screen by executing the screen detection method.

[0016] Optionally, the target electronic device is located above the probe of the OCT detection device, and the screen of the target electronic device is horizontally facing downward.

[0017] Optionally, a translation stage is provided on the workbench, and the translation stage is provided above the probe of the OCT detection device, and the moving range of the translation stage overlaps with the operating range of the probe, wherein when the target electronic device is placed on the translation stage, the translation stage moves so that the probe performs line scan imaging processing on multiple positions of the screen of the electronic device.

[0018] Optionally, a card slot is provided in the displacement stage, the card slot is used to fix the target electronic device, and the bottom of the card slot has an opening.

[0019] Optionally, the screen detection device also includes: a feed transmission mechanism and a first robotic arm, the feed transmission mechanism is used to transmit the target electronic device to the operating range of the first robotic arm; the first robotic arm is used to grab the electronic device located on the feed transmission mechanism into the operating range of the probe of the OCT detection device.

[0020] Optionally, the screen detection device also includes: a discharge conveying mechanism and a second robotic arm, the second robotic arm being used to grab electronic devices that meet the detection requirements onto the discharge conveying mechanism, and to grab electronic devices that do not meet the detection requirements to a designated position; the discharge conveying mechanism being used to transfer electronic devices that meet the detection requirements to downstream.

[0021] Optionally, the OCT detection device includes at least a first probe and a second probe, and the first probe and the second probe are used to detect screens with different properties.

[0022] Optionally, the screen detection device also includes: a product information label, which is arranged on the surface of the target electronic device and is used to store the identity information of the target electronic device; a barcode scanner, which is arranged on one side of the workbench and is used to scan the product information label to obtain the identity information of the target electronic device and send it to the processor.

[0023] Optionally, the screen detection device also includes a display screen for displaying at least one of the following: working status information of the screen detection device, layer thickness information of multiple layer structures in the screen of the current electronic device, an OCT image of the screen of the current electronic device, and a detection result of the current electronic device.

[0024] Using the embodiments of the present application, by detecting the layer thickness of the multi-layer structure in the screen of the electronic device, it can be determined whether the screen is the original screen of the electronic device, and whether there is a non-original layer structure in the multiple layer structures of the screen. If not, it means that the screen of the electronic device has been repaired and replaced, and the quality and value of the electronic device are reduced. The screen detection scheme of the embodiment of the present application is easy to operate, time-saving, the detection process and results do not rely on human experience, the operator does not need professional training, and the detection results are more objective and reliable. The embodiments of the present application can provide an important reference for judging the quality and value of second-hand electronic products. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The preferred embodiments of the present invention will be further described in detail below with reference to the accompanying drawings, wherein:

[0026] Figure 1 A schematic flow chart of a method provided according to an embodiment of the present invention;

[0027] Figure 2 A schematic flow chart of the calculation principle of the layer structure thickness of the screen in the method provided according to an embodiment of the present invention;

[0028] Figure 3 A schematic diagram of a top view of a screen detection device provided by an embodiment of the present invention;

[0029] Figure 4 is a schematic diagram of the three-dimensional structure of a screen detection device according to an embodiment of the present invention;

[0030] Figure 5 is a schematic diagram of a three-dimensional structure of another screen detection device 300 according to an embodiment of the present invention;

[0031] Figure 6 for Figure 5 A schematic front view of a screen detection device 300 of an embodiment;

[0032] Figure 7 A schematic diagram of a plurality of layer structures in a screen of a target electronic device provided by an embodiment of the present invention;

[0033] Figure 8 A schematic diagram of a multiple layer structure in a screen of another target electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] In the following detailed description, reference may be made to the various drawings of the specification which are part of the present application and are used to illustrate specific embodiments of the present application. In the drawings, similar reference numerals describe substantially similar components in different figures. The various specific embodiments of the present application are described below in sufficient detail so that a person of ordinary skill in the art with relevant knowledge and skills in the art can implement the technical solutions of the present application.

[0036] First, the concepts and technical terms that may be involved in the embodiments of the present application are briefly described.

[0037] Optical coherence tomography (OCT) is a relatively new optical imaging technology. Its imaging principle is: when the optical path difference between the ballistic photons and serpentine photons returned from the scattering medium and the reference light is within the coherence length of the light source, interference occurs; while the optical path difference between the diffuse photons and the reference light is greater than the coherence length of the light source, interference cannot occur, thereby extracting the ballistic photons and serpentine photons with the information of the sample being measured for imaging. OCT can achieve high-resolution non-invasive tomographic measurement of the object to be measured (such as biological tissue). In an embodiment of the present invention, OCT imaging technology is based on the principle of low-coherence interference of Michelson interferometer, combined with optical, electrical, and image processing technology, to detect the backscattered light of the sample for tomographic imaging. In an embodiment of the present invention, the object to be measured can be the screen of the target electronic device. The layer thickness information of multiple layer structures in the screen can be obtained through OCT processing.

[0038] like Figure 1 As shown, the screen detection method provided by the embodiment of the present invention includes the following steps:

[0039] S101, performing optical coherence tomography (OCT) optical imaging processing on the screen of the target electronic device to obtain layer thickness information of multiple layer structures in the screen;

[0040] S102: Determine whether the screen is an original screen of the electronic device according to layer thickness information of the plurality of layer structures, and / or determine whether there is a non-original layer structure in the screen.

[0041] Among them, the target electronic device can be understood as the electronic device to be detected. In various embodiments of the present application, the target electronic device can be various electronic products with screens, such as smart phones, laptops, tablets, electronic dictionaries, smart watches, smart glasses, various wearable devices, etc.

[0042] Optionally, the target electronic device in the embodiment of the present application may be a second-hand electronic product. Before reselling, the screen of the second-hand electronic product can be quickly tested using the embodiment of the present application, which can assist in judging the quality of the second-hand electronic product, help to set a reasonable selling price for the second-hand electronic product, and safeguard the rights and interests of both the seller and the consumer.

[0043] In some embodiments, for example, it is possible to determine whether the screen of a second-hand electronic product is an original screen based on the obtained layer thickness information of the multiple layer structures and the predetermined reference layer thickness information of the multiple layer structures of the original screen. In some embodiments, it is also possible to construct a reference layer thickness database using the layer thickness information of the multi-layer structure of the original electronic device screen, or to train an artificial intelligence prediction model using sample data to determine whether the screen of a second-hand electronic product is an original screen.

[0044] The screen detection method provided in the embodiment of the present invention detects the thickness of each layer structure in the screen through OCT technology, and determines whether the screen has been replaced or there are non-original layer structures in the screen based on this, so that the screen detection result is more objective and reliable. Compared with manual detection methods, the detection efficiency and accuracy can be greatly improved.

[0045] In some embodiments of the present invention, optionally, determining whether the screen to be detected is an original screen of the electronic device according to the layer thickness information of the multiple layer structures in the screen to be detected in step 102 can be implemented in at least one of the following ways:

[0046] The first method is to determine whether the screen to be detected is the original screen of the electronic device based on the total thickness of the multiple layer structures in the screen to be detected. For example, when the total thickness of the multiple layer structures in the screen to be detected exceeds the preset range compared with the reference screen thickness, it can be determined that the screen to be detected is not the original screen of the electronic device; conversely, when the total thickness of the multiple layer structures in the screen to be detected does not exceed the preset range compared with the reference screen thickness, it can be determined that the screen to be detected is the original screen of the electronic device.

[0047] The second method: determine whether the screen to be detected is the original screen of the electronic device based on the layer thickness of each of the multiple layer structures in the screen to be detected. For example, the layer thickness of each of the multiple layer structures in the screen to be detected is compared with the reference layer thickness information. When the layer thickness of any one or more layer structures in the screen to be detected exceeds the preset range, it can be determined that the screen to be detected is not the original screen of the electronic device; conversely, when the layer thickness of all layer structures in the screen to be detected does not exceed the preset range, it can be determined that the screen to be detected is the original screen of the electronic device.

[0048] The third method: determine whether the screen to be tested is the original screen of the electronic device based on the thickness of one or more layer structures specified in the multiple layer structures in the screen to be tested. For example, during the detection process, one or more layer structures in the screen to be tested can be specified as comparison objects, and the specified layer structure can be compared with the reference layer thickness. If the layer thickness of the specified layer structure exceeds the preset range, it can be determined that the screen to be tested is not the original screen of the electronic device; conversely, if the layer thickness of the specified layer structure does not exceed the preset range, it can be determined that the screen to be tested is the original screen of the electronic device.

[0049] Through one or more of the above methods, it is possible to accurately detect whether the screen of the electronic device is an original screen.

[0050] In some embodiments of the present invention, optionally, determining whether there is a non-original layer structure in the screen to be detected according to the thickness information of multiple layer structures in the screen to be detected in step 102 can be implemented in at least one of the following ways:

[0051] The first method includes: determining whether each layer structure is a non-original layer structure according to the layer thickness of each layer structure in the screen to be detected. In an embodiment of the present invention, the layer thickness of each layer structure in the screen to be detected is compared with the reference layer thickness corresponding to each layer structure, so as to determine whether each layer structure in the screen to be detected is a non-original layer structure.

[0052] The second method includes: determining whether the specified layer structure is a non-original layer structure according to the layer thickness of the specified layer structure in the multiple layer structures in the screen to be detected. In an embodiment of the present invention, one or more layers in the screen to be detected are designated as comparison objects, and the thickness of the specified layer structure is compared with the reference layer thickness corresponding to the specified layer structure. When the thickness of the specified layer structure exceeds a predetermined range, it can be determined that the specified layer thickness is a non-original layer structure, that is, the screen to be detected is a non-original screen.

[0053] By detecting whether the middle layer structure of the screen is the original layer structure, it can be determined whether the screen to be detected is the original screen, thereby expanding the scope of the evaluation criteria.

[0054] In some embodiments of the present invention, optionally, step 102 can also be implemented in the following manner: by matching the layer thickness of multiple layer structures of the screen of the target electronic device with the layer thickness of multiple layer structures in the screen of the original electronic device, it is determined whether the screen of the target electronic device is an original screen. That is, the layer thickness of multiple layer structures in the screen of the original electronic device can be used as the reference layer thickness, and by comparing the layer structure thickness of the screen of the target electronic device with the layer structure thickness of the original screen, it is determined whether the screen of the target electronic device is an original screen. Similarly, it is also possible to detect the layer thickness of the layer structure in the screen of the target electronic device, and compare the layer thickness of the layer structure in the screen of the target electronic device with the thickness of the layer structure of the original screen, so as to determine whether the layer structure in the screen to be detected is an original layer structure. Among them, the original electronic device and the target electronic device to be compared meet at least one of the following conditions: the same model, from the same supplier, and the same production batch.

[0055] For example, when the layer thickness of the multi-layer structure in the screen of the target electronic device differs from the layer thickness of the multi-layer structure of the screen of the original electronic device (such as the original electronic device and the target electronic device have the same model) beyond a preset range, a detection result can be obtained: the screen of the target electronic device is a non-original screen. On the contrary, when the layer thickness of the multi-layer structure in the screen of the target electronic device differs from the layer thickness of the multi-layer structure of the screen of the original electronic device within a preset range, a detection result can be obtained: the screen of the target electronic device is an original screen.

[0056] In some embodiments of the present invention, optionally, the screen detection method provided by the present invention may also include the following processing: establishing a thickness information database of original screens of electronic devices based on layer thickness information of multiple layer structures in original screens of multiple types of electronic devices, wherein the thickness information database of original screens of electronic devices is used to match the layer thickness information of multiple layer structures of the screen of the target electronic device to determine whether the screen of the target electronic device is an original screen, and / or to determine whether there is a non-original layer structure in the screen of the target electronic device.

[0057] By utilizing the embodiments of the present invention, a thickness information database of original screens is established based on the thickness information of multiple layer structures of screens of multiple types of electronic devices, that is, a baseline layer thickness information database of various types of original screens is established. When in use, the detected thickness information of multiple layer structures of the screen of the target electronic device can be matched with the baseline layer thickness information of the original screen of the electronic device in the database to determine whether the screen of the target electronic device is an original screen, and / or to determine whether there is a non-original layer structure in the screen of the target electronic device.

[0058] As an example, in a thickness information database of original screens of electronic devices, multiple types of electronic devices may include at least one of the following: electronic devices classified by model, electronic devices classified by supplier, electronic devices classified by production batches, electronic products classified according to the same model but from different suppliers, and electronic products classified according to the same model but from different production batches.

[0059] By establishing a database of reference layer thickness information of multiple layer structures of original screens of electronic devices, computer technology can be used to efficiently and quickly convert the thickness information detected by OCT into test results, that is, whether the screen of the electronic device to be tested is a non-original screen or has a non-original layer structure.

[0060] In addition to the above-mentioned method of determining whether the screen of the target electronic device to be inspected is a non-original screen or has a non-original layer structure by establishing a layer thickness information database of multiple layer structures of the original screen of the electronic device, in other embodiments, it is also possible to determine whether the screen of the target electronic device to be inspected is a non-original screen or has a non-original layer structure based on a neural network model.

[0061] Specifically, in some embodiments of the present invention, optionally, step 102 may be implemented by the following processing:

[0062] inputting identity information of the target electronic device and layer thickness information of a plurality of layer structures of a screen of the target electronic device into a trained neural network model;

[0063] Receiving a prediction result output by the neural network model, the prediction result including: whether the screen is an original screen of the electronic device, and / or whether there is a non-original layer structure in the screen;

[0064] The training data of the neural network model includes at least one of the following: layer thickness information of multiple layer structures in original screens of multiple types of electronic devices, layer thickness information of multiple layer structures in non-original screens of multiple types of electronic devices, and layer thickness information of original layer structures and non-original layer structures in non-original screens of multiple types of electronic devices. The identity information of the target electronic device may include: model, supplier, production batch, etc.

[0065] In some embodiments of the present invention, the neural network model can be a prediction model obtained by training a convolutional neural network, a recurrent neural network or other types of neural networks using training data, and the neural network prediction model can be used as a screen evaluation model for second-hand electronic products. When in use, the screen evaluation model receives information such as the model, supplier and / or production batch of the second-hand mobile phone, and receives the screen layer thickness information of the second-hand mobile phone detected by OCT. The screen evaluation model can determine whether the screen of the second-hand mobile phone is an original screen, and / or whether the screen of the second-hand mobile phone has a non-original layer structure, and directly output the judgment result. Using a neural network model as a screen evaluation model can improve the timeliness and accuracy of screen detection and reduce the investment in human resources.

[0066] In some embodiments of the present invention, optionally, the multiple types of electronic devices include at least one of the following: electronic devices of multiple models, electronic devices of the same model from different suppliers, and electronic devices of the same model from different batches.

[0067] Since the layer thickness information of the screen of an electronic device of the same model may differ when the supplier is different, a database of multiple types of electronic devices should be established to provide accuracy and reliability of the test results.

[0068] In some further embodiments of the present invention, optionally, step 102 may be implemented by the following processing:

[0069] 1) If the difference between the thickness of the multiple layer structures in the detected screen and the thickness of the multiple layer structures in the original screen of the electronic device is within a preset range, the detected screen is the original screen of the electronic device;

[0070] 2) If the difference between the thickness of the multiple layer structures in the detected screen and the thickness of the multiple layer structures in the original screen of the electronic device exceeds the preset range, the detected screen is not the original screen of the electronic device;

[0071] 3) If the difference between the thickness of the first layer structure in the multiple layer structures in the detected screen and the thickness of the first layer structure in the original screen of the electronic device exceeds a preset range, the first layer structure is a non-original layer structure;

[0072] 4) If the difference between the thickness of the second layer structure among the multiple layer structures in the detected screen and the thickness of the second layer structure in the original screen of the electronic device is within a preset range, and the difference between the thickness of the third layer structure among the multiple layer structures in the detected screen and the thickness of the third layer structure in the original screen of the electronic device exceeds the preset range, then the third layer structure is a non-original layer structure.

[0073] like Figure 2 As shown, in some embodiments of the present invention, optionally, step 101 includes:

[0074] Step 1011, obtaining an OCT interference spectrum image of the screen of the current electronic device;

[0075] Step 1012, performing Fourier transform on the OCT interference spectrum image to obtain an OCT single-point signal image;

[0076] Step 1013: Line scan the screen of the current electronic device to obtain an OCT cross-sectional image of the screen;

[0077] Step 1014: determining the refractive index of each layer structure in the screen based on the OCT cross-sectional image;

[0078] Step 1015: For a single layer structure in the screen, determine the layer thickness information of the layer structure according to the distance between adjacent wave peaks in the OCT single-point signal image and the refractive index of the layer structure.

[0079] The layer thickness information d of the layer structure can be calculated according to formula (1);

[0080] d = ΔS / 2n (1);

[0081] Wherein, ΔS represents the distance between adjacent peaks in the OCT single-point signal image, and n represents the refractive index n of each layer structure in the screen.

[0082] In some embodiments of the present invention, optionally, the method provided by the present invention may also include: displaying at least one of the following on a display screen: layer thickness information of multiple layer structures in the screen of the current electronic device, an OCT image of the screen of the current electronic device, and a screen detection result of the current electronic device.

[0083] By displaying these detection results on the display screen, it is convenient for the staff to supervise the working status of the screen detection device and obtain the detection results in time. Based on the same technical concept as the screen detection method provided in the above embodiment, the embodiment of the present invention also provides a screen detection device 100, which can execute the screen detection method provided in the above embodiment. Figure 3 is a schematic diagram of a top view of the screen detection device according to an embodiment of the present invention, Figure 4 It is a schematic diagram of the three-dimensional structure of a screen detection device according to an embodiment of the present invention.

[0084] Combination Figure 3 and Figure 4As shown, the screen detection device 100 of the embodiment of the present invention includes: a workbench 101, an optical coherence tomography OCT detection device 102 (hereinafter referred to as OCT detection device 102) and a processor 103. In the embodiment of the present invention, the workbench 101 can be used to place the OCT detection device 102. The OCT detection device 102 is used to perform OCT optical imaging processing on the screen of the target electronic device 104 to obtain multiple layer thickness information of multiple layer structures in the screen of the electronic device 104. The processor 103 is used to execute the screen detection method provided in the above embodiment to determine whether the screen of the target electronic device 104 is the original screen of the target electronic device 104 and / or determine whether there is a non-original layer structure in the screen of the target electronic device 104. Please refer to the above for the specific implementation steps of the screen detection method. For the sake of brevity, they will not be repeated here. In some embodiments of the present invention, optionally, the processor 103 can be used to compare the data model in the database with multiple layer thickness information of multiple layer structures in the screen of the electronic device 104 detected by the OCT detection device 102, so as to determine whether the screen of the electronic device 104 is an original screen, and / or whether there are non-original layer structures in the layer structure in the screen of the electronic device 104.

[0085] The screen detection device provided in the embodiment of the present invention detects the thickness of each layer structure in the screen through OCT technology, and compares it with the reference layer thickness to determine whether the screen has been replaced or whether there is a non-original layer structure in the screen, so that the detection result of the screen is more objective and reliable. Compared with manual detection technology, it can also improve the detection efficiency and accuracy to a certain extent.

[0086] Combination Figure 3 and Figure 4 As shown, in some embodiments of the present invention, optionally, the target electronic device 104 can be located above the probe 201 of the OCT detection device 102, and the screen of the target electronic device 104 is facing downward. In order to eliminate the problem that the distance or angle between the probe 201 and the screen of the target electronic device is inconsistent due to the protrusion of the rear camera of the target electronic device, optionally, in an embodiment of the present invention, the screen of the target electronic device is horizontally downward, so that the distance or angle between the probe of the OCT detection device 102 and the screen of the target electronic device is consistent. During the detection process, it is not necessary to frequently adjust the probe 201 of the OCT detection device 102 to ensure that the distance or angle between the probe 201 and the screen of the target electronic device is consistent.

[0087] Continue to combine Figure 3 and Figure 4As shown, in some embodiments of the present invention, optionally, a translation stage 105 is provided on the workbench 101, and the translation stage 105 is provided above the probe 201 of the OCT detection device 102, and the moving range of the translation stage 105 overlaps with the operating range of the probe 201, wherein when the target electronic device 104 is placed on the translation stage 105, the translation stage 105 moves so that the probe 201 performs line scan imaging processing on multiple positions of the screen of the electronic device 104.

[0088] The screen detection device provided by the embodiment of the present invention, by setting a displacement stage 105, enables the target electronic device 104 placed on the displacement stage to move with the displacement stage 105, thereby enabling the probe of the OCT detection device 102 to detect the thickness of multiple positions of the screen of the target electronic device. The probe 201 of the OCT detection device 102 performs line scanning imaging of multiple positions of the target electronic device, making the detection result more accurate and reliable.

[0089] like Figure 3 As shown, in some embodiments of the present invention, optionally, a card slot 106 is provided in the translation stage 105 , and the card slot 106 is used to fix the target electronic device 104 , and the bottom of the card slot 106 has an opening.

[0090] The detection device provided in the embodiment of the present invention can fix the target electronic device 104 on the displacement stage 105 by setting the card slot 104 to avoid shaking during movement. The opening at the bottom of the card slot 104 enables the probe of the OCT detection device 102 to directly perform line scanning on multiple positions of the screen of the target electronic device 104 to achieve thickness detection.

[0091] like Figure 3 As shown, in some embodiments of the present invention, optionally, the screen detection device 100 also includes: a feed transmission mechanism 107 and a first robotic arm 108, the feed transmission mechanism 107 is used to transmit the target electronic device 104 to the operating range of the first robotic arm 108; the first robotic arm 108 is used to grab the electronic device 104 located on the feed transmission mechanism 107 to the operating range of the probe of the OCT detection device 102.

[0092] The detection equipment provided in the embodiment of the present invention, by providing the feeding transmission mechanism 102 and the first robotic arm 108, automates the detection process, reduces labor costs and further improves the detection operation efficiency.

[0093] like Figure 3As shown, in some embodiments of the present invention, optionally, the screen detection device 100 also includes: a discharging conveying mechanism 109 and a second robotic arm 110, the second robotic arm 110 is used to grab electronic devices that meet the detection requirements onto the discharging conveying mechanism 109, and grab electronic devices that do not meet the detection requirements to a designated position 111; the discharging conveying mechanism 109 is used to transfer electronic devices that meet the detection requirements to the downstream, for example, to the downstream for other software and hardware detection or equipment cleaning.

[0094] The detection equipment provided in the embodiment of the present invention, by setting up a discharge transmission mechanism 109 and a second robotic arm 110, enables the processing of electronic equipment that does not meet the detection requirements and the processing of electronic equipment that meets the detection requirements during the detection process to rely on automated equipment, thereby reducing the investment in labor costs and improving overall work efficiency.

[0095] In some embodiments of the present invention, optionally, the OCT detection device 102 includes at least a first probe and a second probe, and the first probe and the second probe are used to detect screens with different properties.

[0096] For example, by setting the first probe and the second probe, the testing requirements of second-hand mobile phone screens in different thickness ranges (or different models) can be performed, so that the screen detection device can be applicable to most second-hand mobile phone model screen detection applications on the market.

[0097] like Figure 3 As shown, in some embodiments of the present invention, optionally, the screen detection device 100 also includes: a product information label 112, which is arranged on the surface of the target electronic device 104 and is used to store the identity information of the target electronic device 104; a barcode scanner 113, which is arranged on one side of the workbench 101 and is used to scan the product information label 112 to obtain the identity information of the target electronic device 104 and send it to the processor 103.

[0098] In the screen detection device provided in the embodiment of the present invention, by setting the product information label 112 and the barcode scanner 113, the OCT detection device 102 can quickly identify the identity information of the target electronic product 104, and correspond the detection result with the target electronic product, so that the production line is more reasonable and smooth, and easy to control.

[0099] like Figure 3 As shown, in some embodiments of the present invention, optionally, the screen detection device 100 also includes a display screen 113 for displaying at least one of the following: working status information of the screen detection device, layer thickness information of multiple layer structures in the screen of the current electronic device, an OCT image of the screen of the current electronic device, and a detection result of the current electronic device.

[0100] In the screen detection device provided in the embodiment of the present invention, by setting the display screen 114, one or more of the following four situations can be displayed on the display screen 114: working status information of the screen detection device, layer thickness information of multiple layer structures in the screen of the current electronic device, OCT image of the screen of the current electronic device, and detection result of the current electronic device, so as to facilitate the staff to monitor the working status of the screen detection device.

[0101] Figure 5 FIG. 3 is a schematic diagram of the three-dimensional structure of another screen detection device 300 according to an embodiment of the present invention. Figure 6 for Figure 5 A schematic front view of a screen detection device 300 of an embodiment. Figure 5 and Figure 6 As shown, the screen detection device 300 is used to detect whether the screen of the electronic device 305 is an original screen and / or whether there is a non-original layer structure. The screen detection device 300 includes: a mechanical arm 301, a conveyor belt 302, a barcode scanner 303, a place for placing defective products 304, an OCT detection device, a workbench 401, a transmission motor 402 and an OCT probe 403.

[0102] like Figure 5 As shown, the screen detection device 300 is divided into an upper space A and a lower space B. The upper space A is provided with: a mechanical arm 301, a conveyor belt 302, a barcode scanner 303, a non-conforming product placement area 304 and electronic equipment 305. The lower space B is provided with an OCT detection device and a cabinet door 306. Figure 5 and Figure 6 As shown, the electronic device 305 is placed on the conveyor belt 302, and the conveyor belt 302 is used to transmit the electronic device 305 to be tested. When the electronic device 305 is transmitted to the preset range, the barcode scanner on the robot arm 301 first identifies the identity information of the electronic device 305 and grabs the electronic device 305 to the workbench 401, and the OCT detection device performs thickness detection on the electronic device 305. When the OCT detection device detects an unqualified electronic device 305, the robot arm 301 grabs the unqualified electronic device 305 to the unqualified product placement 304. On the contrary, when the OCT detection device detects a qualified electronic device 305, the robot arm 301 grabs the qualified electronic device 305 to the conveyor belt 302, and the conveyor belt 302 is used to transmit it to the destination. The transmission motor 402 is used to transmit the electronic device 305 placed on the workbench 401 to a preset distance, so that the OCT probe 403 can scan the screen line of the electronic device 305, that is, detect the thickness of the screen layer at multiple positions. The unqualified electronic device mentioned above refers to an electronic device whose screen is not the original one, or there is a non-original layer in the multi-layer structure of the screen. Conversely, the qualified electronic device refers to an electronic device whose screen is the original one, and there is no non-original layer in the multi-layer structure of the screen.

[0103] For ease of understanding, Figure 7 A schematic diagram schematically shows a plurality of layer structures in a screen. Figure 7 The screen in the example is a liquid crystal display (LCD), which includes a backlight layer 501, a lower polarizer 502, a lower protective glass 503, a liquid crystal layer 504, a color filter 505, an upper protective glass 506, an upper polarizer 507, a liquid optical adhesive 508, a touch layer 509, an optically clear adhesive (OCA) layer 510, and a screen cover 511. It should be noted that, considering that the liquid crystal layer 504 is opaque, the liquid crystal layer 504 itself and the layer structure below the liquid crystal layer 504 (such as the backlight layer 501, the lower polarizer 502 and the lower protective glass 503) may not be able to measure the layer thickness information. Therefore, when performing screen detection, only the layer thickness information of the layer structure above the liquid crystal layer 504 (such as the color filter 505, the upper protective glass 506, the upper polarizer 507, the liquid optical glue 508, the touch layer 509, the optical glue layer 510 and the screen cover 511) can be obtained.

[0104] Similarly, Figure 8 A schematic diagram schematically shows a multiple layer structure in another screen. Figure 8 The screen in the example is an organic light-emitting diode (OLED) screen, which includes a lower protective glass 601, an organic light-emitting layer 602, an upper protective glass 603, a polarizer 604, a liquid optical glue 605, a touch layer 606, an OCA glue layer 607, and a screen cover 608 stacked in sequence. It should be noted that, considering that the organic light-emitting layer 602 is opaque, the layer thickness information of the organic light-emitting layer 602 and the lower protective glass 601 may not be measured. Therefore, when performing screen detection, only the layer thickness information of the layer structure above the organic light-emitting layer 602 (such as the upper protective glass 603, the polarizer 604, the liquid optical glue 605, the touch layer 606, the OCA glue layer 607 and the screen cover 608) can be obtained.

[0105] Table 1 lists the data of the thickness of the screen layer structure obtained by testing the screens of six electronic devices using the embodiment of the present invention. Specifically, the six electronic devices (numbered 1-6) are of the same model, and the thickness of the following four layer structures in each screen is obtained by testing, as shown in Table 1:

[0106] First layer: screen cover;

[0107] Second layer: OCA adhesive layer;

[0108] The third layer: touch layer;

[0109] The fourth layer: liquid optical adhesive layer;

[0110] Table 1

[0111]

[0112]

[0113] Among them, it is known that products No. 1, No. 2, No. 3 and No. 4 are all original screens. Therefore, the layer thickness data of the above four groups of original screens can be used as a benchmark. Based on the above experimental data, the range of the benchmark layer thickness of the four layer structures can be obtained as follows:

[0114] First layer: The thickness of the screen cover is between 0.781-0.831mm;

[0115] Second layer: The thickness of the OCA layer ranges from 0.148 to 0.155 mm;

[0116] The third layer: The thickness of the touch layer ranges from 0.008 to 0.009 mm;

[0117] The fourth layer: the thickness of the liquid optical adhesive layer ranges from 0.057 to 0.059 mm;

[0118] Among them, the screens of products No. 5 and No. 6 are screens of second-hand electronic products that need to be tested. Comparing the four-layer test data of product No. 5 with the four sets of original screen data, it can be found that there are large differences between its four-layer data and the four-layer data of the four sets of original screens. Therefore, it can be determined that the screen of product No. 5 is not an original screen.

[0119] In addition, it can be seen from the test data that there are significant differences between the second layer (OCA adhesive layer) and the third layer (touch layer) data of product No. 6 and the second layer and third layer data of the four groups of original screens. Combined with the structure of each layer of the screen of product No. 6, it can be judged that the middle layer of the touch layer has been repaired and refurbished, and the protective glass on its surface has also been replaced. It can be concluded that in the screen of product No. 6, the glass cover and touch layer are non-original layer structures.

[0120] The above embodiments are only used to illustrate the present invention, but not to limit the present invention. Ordinary technicians in the relevant technical field can make various changes and modifications without departing from the scope of the present invention. Therefore, all equivalent technical solutions should also fall within the scope of the present invention.

Claims

1. A screen detection method, characterized in that: The screen is a screen of an electronic device, and the method includes: Obtaining layer thickness information of multiple layer structures in the screen by performing optical coherence tomography (OCT) optical imaging processing on the screen of the target electronic device; Determining whether the screen is an original screen of the electronic device according to the layer thickness information of the multiple layer structures, and / or determining whether there is a non-original layer structure in the screen; By matching the layer thicknesses of multiple layer structures of the screen of the target electronic device with the layer thicknesses of multiple layer structures in the screen of the original electronic device, it is determined whether the screen of the target electronic device is an original screen, and / or whether there is a non-original layer structure in the screen of the target electronic device; wherein the original electronic device and the target electronic device have the same model.

2. The screen detection method according to claim 1, characterized in that: The determining whether the screen is an original screen of the electronic device according to the layer thickness information of the plurality of layer structures comprises at least one of the following: Determining whether the screen is an original screen of the electronic device according to the total thickness of the multiple layer structures; determining whether the screen is an original screen of the electronic device according to the layer thickness of each layer structure in the plurality of layer structures; Whether the screen is an original screen of the electronic device is determined according to the layer thickness of one or more layer structures specified in the plurality of layer structures.

3. The screen detection method according to claim 1, characterized in that: The determining whether there is a non-original layer structure in the screen according to the layer thickness information of the plurality of layer structures comprises at least one of the following: determining whether each layer structure is a non-original layer structure based on the layer thickness of each layer structure in the plurality of layer structures; It is determined whether the specified layer structure is a non-original layer structure based on the layer thickness of the specified layer structure among the plurality of layer structures.

4. The screen detection method according to claim 1, characterized in that: Also includes: Based on the layer thickness information of multiple layer structures in the original screens of multiple types of electronic devices, a thickness information database of original screens of electronic devices is established, wherein the thickness information database of original screens of electronic devices is used to match the layer thickness information of multiple layer structures of the screen of a target electronic device to determine whether the screen of the target electronic device is an original screen, and / or to determine whether there is a non-original layer structure in the screen of the target electronic device.

5. The screen detection method according to claim 1, characterized in that: The determining, based on the layer thickness information of the plurality of layer structures, whether the screen is an original screen of the electronic device, and / or determining whether there is a non-original layer structure in the screen, includes: inputting identity information of the target electronic device and layer thickness information of a plurality of layer structures of a screen of the target electronic device into a trained neural network model; Receiving a prediction result output by the neural network model, the prediction result including: whether the screen is an original screen of the electronic device, and / or whether there is a non-original layer structure in the screen; Among them, the training data of the neural network model includes at least one of the following: layer thickness information of multiple layer structures in original screens of multiple types of electronic devices, layer thickness information of multiple layer structures in non-original screens of multiple types of electronic devices, and layer thickness information of original layer structures and non-original layer structures in non-original screens of multiple types of electronic devices.

6. The screen detection method according to claim 4 or 5, characterized in that: The multiple types of electronic devices include at least one of the following: electronic devices of multiple models, electronic devices of the same model from different suppliers, and electronic devices of the same model from different batches.

7. The screen detection method according to claim 1, characterized in that: Determining whether the screen is an original screen of the electronic device according to the layer thickness information of the multiple layer structures, and / or determining whether there is a non-original layer structure in the screen, includes at least one of the following: If the differences between the thicknesses of the multiple layer structures in the screen and the thicknesses of the multiple layer structures in the original screen of the electronic device are both within a preset range, then the screen is the original screen of the electronic device; If the differences between the thickness of the multiple layer structures in the screen and the thickness of the multiple layer structures in the original screen of the electronic device are all beyond the preset range, then the screen is not the original screen of the electronic device; If the difference between the thickness of the first layer structure in the multiple layer structures in the screen and the thickness of the first layer structure in the original screen of the electronic device exceeds a preset range, the first layer structure is a non-original layer structure; If the difference between the thickness of the second layer structure among the multiple layer structures in the screen and the thickness of the second layer structure in the original screen of the electronic device is within a preset range, and the difference between the thickness of the third layer structure among the multiple layer structures in the screen and the thickness of the third layer structure in the original screen of the electronic device exceeds the preset range, then the third layer structure is a non-original layer structure.

8. The screen detection method according to claim 1, characterized in that: The obtaining layer thickness information of the plurality of layer structures in the screen comprises: Acquire an OCT interference spectrum image of the screen of the current electronic device; Performing Fourier transform on the OCT interference spectrum image to obtain an OCT single-point signal image; Perform line scanning on the screen of the current electronic device to obtain an OCT cross-sectional image of the screen; Determining the refractive index of each layer structure in the screen based on the OCT cross-sectional image of the screen; For a single layer structure in the screen, the layer thickness information of the layer structure is determined according to the distance between adjacent wave peaks in the OCT single-point signal image and the refractive index of the layer structure.

9. The screen detection method according to claim 1, characterized in that: Also includes: At least one of the following is displayed on the display screen: layer thickness information of multiple layer structures in the screen of the current electronic device, an OCT image of the screen of the current electronic device, and a detection result of the screen of the current electronic device.

10. A screen detection device, characterized in that: The screen detection device is based on the screen detection method according to any one of claims 1 to 9, and comprises: a workbench, an optical coherence tomography (OCT) detection device and a processor, wherein: The workbench is used to place the OCT detection equipment; The OCT detection device is used to perform OCT optical imaging processing on the screen of the target electronic device to obtain multiple layer thickness information of multiple layer structures in the screen; The processor is used to determine whether the screen is an original screen of the target electronic device and / or determine whether there is a non-original layer structure in the screen by executing the screen detection method.

11. The screen detection device according to claim 10, characterized in that: The target electronic device is located above the probe of the OCT detection device, and the screen of the target electronic device faces downward.

12. The screen detection device according to claim 10, characterized in that: A displacement stage is arranged on the workbench, and the displacement stage is arranged above the probe of the OCT detection device, and the moving range of the displacement stage overlaps with the operating range of the probe; When the target electronic device is placed on the translation stage, the translation stage moves so that the probe performs line scan imaging processing on multiple positions of the screen of the target electronic device.

13. The screen detection device according to claim 12, characterized in that: The displacement stage is provided with a slot for fixing the target electronic device, and the bottom of the slot has an opening.

14. The screen detection device according to claim 10, characterized in that: Also includes: Feeding transmission mechanism and first robotic arm, The feeding and conveying mechanism is used to convey the target electronic device into the operating range of the first mechanical arm; The first robotic arm is used to grab the target electronic device located on the feeding and conveying mechanism and bring it into the operating range of the probe of the OCT detection device.

15. The screen detection device according to claim 10, characterized in that: Also includes: The discharging transmission mechanism and the second robotic arm, The second mechanical arm is used to grab the target electronic device that meets the detection requirements and place it on the discharging transmission mechanism, and grab the target electronic device that does not meet the detection requirements and place it on a designated position; The discharging and conveying mechanism is used to convey the target electronic device that meets the detection requirements to the downstream.

16. The screen detection device according to claim 10, characterized in that: The OCT detection device includes at least a first probe and a second probe, wherein the first probe and the second probe are used to detect screens with different properties.

17. The screen detection device according to claim 10, characterized in that: Also includes: A product information label, which is disposed on the surface of the target electronic device and is used to store the identity information of the target electronic device; A barcode scanner is arranged at one side of the workbench and is used to scan the product information label to obtain the identity information of the target electronic device and send it to the processor.

18. The screen detection device according to claim 10, characterized in that: It also includes a display screen for displaying at least one of the following: working status information of the screen detection device, layer thickness information of multiple layer structures in the screen of the current electronic device, an OCT image of the screen of the current electronic device, and a detection result of the current electronic device.

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