TWI777552B - Automatic test method - Google Patents

Abstract

An automatic test method is configured to test functions of the device under test, including several steps shown as below. Generate a sample voice by a processor. The sample voice includes several voice data, and each voice data includes the same period. Capture the sample voice played by the DUT through a radio device. Analyze the sample voice captured by the radio device by the processor to generate a voice result. According to the voice result, generate a voice error message or a voice pass message by the processor to indicate whether the voice function of the DUT is abnormal or not.

Description

automated testing methods

This disclosure document is about a test method, especially about a method for automatically testing the function of the DUT.

The manufacturing process of electronic products includes pre-delivery tests to detect whether specific functions of electronic products are normal. For example, the test items for the TV include image display, audio and video, wireless communication and other items.

However, in the testing process, the products to be tested are currently tested one by one manually, which not only increases the personnel cost, but also increases the probability of misjudgment. In addition, in the process of testing the audio-visual function, it is difficult to accurately judge the three-dimensional audio-visual effect by manual inspection, and it is easy to be affected by other noises or other factors in the factory, resulting in wrong judgment in the test.

This disclosure also provides an automated testing method for testing the function of the DUT, including the following steps. A sample speech is generated by the processor, wherein the sample speech includes a plurality of speech data, and each speech data has the same period. The sample voice played by the object to be tested is captured through the radio device. The sample speech captured by the radio device is analyzed by the processor to generate a speech result. According to the voice result, a voice error message or a voice pass message is generated by the processor to indicate whether the voice function of the test object is abnormal.

The following examples are described in detail with the accompanying drawings, so as to better understand the aspect of the present disclosure. However, the provided examples are not intended to limit the scope of the present disclosure, and the description of the structure and operation is not intended to be used. In order to limit the order of its execution, any recombination of components, resulting in an apparatus with equal efficacy, is within the scope of the present disclosure. In addition, according to industry standards and common practices, the drawings are only for the purpose of auxiliary description and are not drawn according to the original size. In fact, the dimensions of various features can be arbitrarily increased or decreased for the convenience of description. In the following description, the same elements will be denoted by the same symbols to facilitate understanding.

In addition, the terms "comprising", "including", "having", "containing" and the like used in this disclosure document are all open-ended terms, that is, meaning "including but not limited to". In addition, the term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.

In this disclosure, when an element is referred to as "connected" or "coupled", it may refer to "electrical connection", "communication connection" or "electrical coupling". "Connected" or "coupled" may also be used to indicate the cooperative operation or interaction between two or more elements. In addition, although terms such as "first", "second", . . . are used herein to describe different elements, the terms are only used to distinguish elements or operations described by the same technical terms. Unless clearly indicated by the context, the terms do not specifically refer to or imply a sequence or sequence and are not intended to limit the invention.

An automated testing system of the present disclosure provides the function of testing electronic products, and can realize automated testing by using the automated testing method. For example, before electronic products are shipped, using an automated testing system to perform basic function testing of electronic products can replace the lack of conventional manual testing.

Please refer to FIG. 1 , the automated testing system 100 includes a transmission structure 120 , an audio-visual equipment AUD, and a plurality of automated testing devices 110 . The electronic product to be tested (ie, the DUT) is coupled to the automated testing device 110 , and each automated testing device 110 is coupled to a DUT to be tested, and is disposed on the transmission structure 120 .

In some embodiments, a jig (not shown in the figure) may be provided on the transmission structure 120 to fix the DUT of the object to be tested.

As shown in FIG. 1 , the transmission structure 120 is used to carry a plurality of automated test devices 110 and corresponding DUTs. In this embodiment, the conveying structure 120 is a conveyor belt, which drives the articles set therein to the target by a driving device (not shown in the figure). In this embodiment, the transfer structure 120 can carry the automated test device 110 and the corresponding DUT, and transport them to the respective functional test locations ST1 , ST2 , ST3 . . . , ST n.

According to the type and model of the DUT under test, the automated test system 100 is provided with a plurality of functional test stations STn to correspond to various functions of the DUT under test. In various embodiments of the present disclosure, the DUT under test is described by taking a TV as an example, and the DUT under test may be a product of a specific model of a TV of a specific brand. The test items include the image display function, sound output function (voice function) and wireless transmission function of this specific model. In some embodiments, the DUT is a computer or a mobile phone, and the tested items further include call function and basic computing function, etc., which are not limited to the embodiments mentioned in this disclosure.

In some function test stations STn, such as the function test station ST2 shown in FIG. 1, in order to test the arrangement of the image display and the voice function of the DUT under test, an audio-visual equipment AUD is provided. The audio and video equipment AUD is coupled to the automated test device 110 and the corresponding DUT to assist in sampling of test signals in the test operation.

In some examples of testing the image display and voice functions of the DUT, when the transmission structure 120 transports the DUT to a functional testing place (take the functional testing place ST2 as an example), the automated test device 110 can provide sample data For the DUT, the audio and video equipment AUD can record the sample data played by the DUT to generate the corresponding audio and video content. Subsequently, the automated testing device 110 may compare the above-mentioned sample data and the recorded video and audio content, thereby realizing functional testing.

In one embodiment, the automated testing device 110 includes a storage module (not shown in the figure), which can store sample data corresponding to various models of various brands. When the automated test device 110 is coupled to the DUT, the DUT can automatically detect the brand and model of the DUT.

In another embodiment, an external electronic device (such as the computing device PC in this embodiment) can be communicatively connected to the automated test device 110 for setting the brand and model of the DUT. For example, the computing device PC can set the brand and model of the DUT through a wired physical interface (such as USB, UART or RS232 interface) or a wireless interface (such as Bluetooth or Wifi). The subsequent automated testing device 110 can select the corresponding sample data according to the brand and model, and transmit the sample data to the DUT. When the DUT under test plays the sample data according to the test command of the automated test device 110, the audio-visual equipment AUD can capture the sample data played by the DUT under test to generate corresponding data such as images and sounds, and use the captured images And the audio data are sent back to the automated testing device 110 . Next, the automated test device 110 generates image display and voice function test results according to the returned image data, audio data and sample data corresponding to the DUT to indicate whether the function corresponding to the DUT is abnormal.

When the test result is abnormal, the automated test device 110 will emit a warning sound to remind the staff that the DUT has abnormal function. When there is no abnormality in the test result, the transmission structure 120 continues to transport the DUT to the next functional testing location (eg, from the functional testing location ST2 to the functional testing location ST3 ), so as to continue other test items.

In some embodiments, the automated test device 110 has storage, communication, and computing functions for storing sample data, transmitting the sample data to the DUT, and analyzing the signals (or data, as captured above) obtained during the test process. image data or audio data, etc.) and generate test results.

In some function test stations STn, such as the function test station ST3 shown in FIG. 1, in order to test the arrangement of the image display and voice function of the DUT under test, there are audio-visual equipment AUD and computing equipment PC. The audio and video equipment AUD is coupled to the automated testing device 110 and the computing device PC, and is used to assist in capturing the signal played by the DUT of the object to be tested. The computing device PC is coupled to the automated testing device 110 and the audio-visual equipment AUD for assisting in analyzing data.

In some examples of testing the image display and voice functions of the DUT, when the transmission structure 120 transports the DUT to a functional testing place (take the functional testing place ST3 as an example), the computing device PC can set the corresponding The sample data of the DUT is measured, and the automated test device 110 and the audio-visual equipment AUD are instructed to perform the video test operation. During the testing process, the automated testing device 110 instructs the DUT to play sample data, and instructs the audio and video equipment AUD to capture the sample data played by the DUT to generate corresponding audio and video signals. In one embodiment, the audio and video equipment AUD transmits the captured audio and video signals (eg, photos, sounds, etc.) to the computing device PC in an analogous form. Next, the computing device PC analyzes the video and audio signals and sample data to generate test results for video display and voice functions.

In another embodiment, in addition to providing sample data to the DUT, the automated testing apparatus 110 can also obtain audio and video signals from the audio and video equipment AUD. The automated testing device 110 can compare the pre-stored sample data with the acquired video and audio signals, and generate test results.

According to the test items of the DUT, the signal or data has a corresponding specific transmission method. For example, a TV of brand A transmits video and audio through HDMI interface; TV of brand B transmits video through VGA interface. The transmission methods of video signals for TVs of brand A and brand A are different, and the signals of the two are also incompatible. The automated testing device provided in this disclosure can integrate multiple transmission interfaces and their corresponding transmission protocols, and can test TVs of various brands with a single structural device.

FIG. 2 is an embodiment of the automated testing apparatus according to FIG. 1 . As shown in FIG. 2 , the automated test device 200 includes a connection port 210 , a transmission integration interface 220 and a processor 230 , and the detailed description of each component is as follows.

The connection port 210 is used for coupling to the DUT, which is used as a physical connection device to the outside of the automated test device 200 . In some embodiments, the connection port 210 includes a plurality of connection interfaces, each of which has a corresponding transmission protocol for transmitting signals (or data) between the transmission integration interface 220 and the DUT.

As shown in FIG. 2 , the connection port 210 includes two connection interfaces with mutually incompatible transmission protocols, namely a USB connection port 211 with a universal serial bus (USB) standard specification, and a USB connection port 211 with a high The HDMI port 212 of the high definition multimedia interface (HDMI) specification.

In some examples, the USB port 211 is a USB 3.0 interface and has a UASP (USB attached SCSI protocol) protocol for transmitting digital signals through the USB port 211 according to the UASP specification. The HDMI connection port 212 is an HDMI D Type interface and has an HDMI 2.1 transmission protocol for transmitting digital signals or analog signals through the HDMI connection port 212 according to the HDMI 2.1 specification.

In some embodiments, the automated test device 200 transmits the above-mentioned test command through the USB port 211 or the HDMI port 212 , thereby setting the state of the DUT, so that the DUT enters the test mode or the factory mode, so as to perform the above-mentioned steps. test process.

In addition, the connection port 210 further includes a third connection interface (not shown in the figure). When the DUT enters the DUT mode or the factory mode, the automated test apparatus 200 can transmit information irrelevant to setting the state of the DUT through the third connection interface, such as sending sample data or receiving samples corresponding to the DUT DUT Audio and video signals (that is, signals including video and sound) generated by the data. For example, the third connection interface can support: HDMI video and audio transmission, component video connector (YPbPr interface) and dual channel (audio L/R) video and audio transmission, component video connector (CVBS interface) and dual channel (audio L/R) audio and video transmission, consumer electronics control (CEC) wireless communication, ARC voice transmission, optical interface (optical) and coaxial cable (coaxial) interface voice transmission, analog binaural Interface (analog L/R) for voice transmission, ethernet (ethernet) wireless communication (which is simulated as a DHCP server through the processor), wireless hotspot (Wi-Fi) wireless communication (which is set through the processor as a DHCP server) Wi-Fi wireless access point (AP)), Bluetooth (Bluetooth) wireless communication and USB On-The-Go (USB OTG) communication function (which is simulated by the processor as a USB flash drive (USB OTG) pen driver)) and so on.

The connection interface of the connection port 210 can have various different transmission interfaces, so as to provide various DUTs or various test items for use. The number of connection interfaces is not limited by the embodiments of this disclosure.

The transmission integration interface 220 is coupled between the connection port 210 and the processor 230 and serves as a communication bridge for signals in the automated test device 200 . As mentioned above, since the connection port 210 includes a plurality of connection interfaces with mutually incompatible transmission protocols, the transmission integration interface 220 can be compatible with various transmission standards by converting signals. In this way, the automatic test apparatus 200 can test DUTs of various brands or models without additionally setting corresponding adapters for specific DUTs. Thereby, the automatic test apparatus 200 not only has good flexibility in use, but also can improve the efficiency of the test operation.

As shown in FIG. 2 , the transmission integration interface 220 includes a signal converter 221 and switches 222 , 223 , 224A and 224B. By turning on or off the switches 222 , 223 , 224A and 224B and cooperating with the operation of the signal converter 221 , the signal can be converted into a transmission format in the transmission integration interface 220 to be compatible with various transmission standards. The following describes in detail how the transmission integration interface 220 of the present invention is compatible with various transmission specifications.

In this embodiment, the processor 230 only supports the UART communication format. That is, all the signals transmitted to the processor 230 must be in the UART communication format. However, different DUTs may use different communication interfaces to communicate with the outside through different communication protocols.

In some embodiments, some DUTs can only transmit UART signals on the data signal pair channel (eg, the channel used for the D+/D- signal pair) in the USB interface. The automated test device 200 enables the signal to be transmitted in the aforementioned interface in the UART format. Specifically, for example, the automated test device 200 can connect the DUT through the USB port 211, and pass the path formed by the USB port 211, the switch 223, the switch 222, and the switch 224B for the signal to be in UART format transmission, so as to connect the DUT to the processor 230 for communication.

In some embodiments, the DUT can only transmit UART signals on the DDC channel of the HDMI interface. The automated test apparatus 200 can connect the DUT through the HDMI port 212, and can communicate with the processor 230 through the path formed by the HDMI port 212, the switch 224A and the switch 224B.

In addition, the switch 223 is used for coupling to another USB port 213 . Signals transmitted from a USB pen drive can be received through the USB connection port 213 . The signal on the USB connection port 213 is transmitted in the USB communication format. The signal passes through the path formed by the USB connection port 213, the switch 223, the switch 222, the signal converter 221 and the switch 224B, so that the processor 230 is connected to the USB flash drive for communication. .

It is worth noting that the signal converter 221 is used for converting the communication format between the USB and the UART. For example, when the USB port 213 receives a signal in the USB communication format, the signal can be transmitted to the processor 230 through the path formed by the switch 223 , the switch 222 , the signal converter 221 and the switch 224B. The USB communication format is converted into the UART communication format by the signal converter 223, so that the processor 230 can identify and process. On the contrary, the signal in the UART communication format sent by the processor 230 can also be converted into the signal in the USB communication format by the signal converter 223 so as to be transmitted to the devices connected to the USB ports 211 and 213 .

In some embodiments, the processor 230 is a single board computer, such as a raspberry Pi, a processor with computing and storage functions. In some embodiments, the processor 230 refers to a computer, which has higher performance computing and storage functions than the Raspberry Pi. The processor 230 is used for generating a test command for commanding the DUT of the object under test, and for calculating and analyzing the signals (including analog signals, such as the video and audio signals captured above; and digital signals, such as the video and audio signals to be captured) signal to digital format), and generate analysis results.

In some embodiments, the processor 230 is coupled to another processor (such as the computing device PC shown in FIGS. 1 and 3 ) to assist in analysis and testing. In some instances, similar to that shown in FIG. 1, the processor 230 is coupled to a computing device PC (eg, a computer) at the functional test site ST3. The processor 230 is used for generating a test command for instructing the DUT, and the computing device PC is used for calculating and analyzing the analog or digital signals generated in the test process, and generating the analysis result.

The processor 230 can be configured as a device with different computing performance according to factors such as the cost and test items of the automatic test device 200 , such as the above-mentioned embodiments, which are not limited thereto.

Continuing the above description, the test command is the data of the DUT commanded by the processor 230 . The test command includes a trigger signal for instructing the DUT to start a test operation, a trigger signal for entering the test mode or the factory mode.

In addition, the test signal is the data output from the DUT to other receivers during the test operation of the DUT. The receiver can be understood as a third-party device, which is used to simulate the sound or image that the user can receive while watching the TV.

In some embodiments, the receiving device is the automated test device 200 , which receives the data output by the DUT of the object under test through the third connection interface (not shown in the figure) of the connection port 210 . For example, the audio data played from the DUT is received through an audio return channel (ARC). In another embodiment, the receiving devices are microphones RMIC, LMIC and camera CAM as shown in FIG. 3 . The microphone RMIC, LMIC and camera CAM capture the image and audio data played by the DUT of the object to be tested and transmit it to the computing device PC.

To sum up, through the transmission integration interface 220 and the connection port 210 (including the USB connection port 211 and the HDMI connection port 212 ), the test command is transmitted to the DUT of different brands or models, so as to be compatible with the DUT of the DUT. Various signal output formats. Next, the sample data is sent to the DUT through the connection port 210 for testing. The connection port 210 or other receiving devices (such as cameras or microphones) can receive audio and video signals such as sound and/or images played by the DUT during the test process, and analyze and compare the samples by the automated test device 200 or the computing device PC Data and audio-visual signals used to generate test results for video display and/or voice functions.

In some embodiments, the image and sound test items of the DUT are analyzed and compared by the computing device PC. Only the signals transmitted through the wire (eg Aux/Opt/Coaxial/ARC) are directly returned from the DUT to the automated test device 200 for comparison.

In the embodiment in which the automated test apparatus 200 performs analysis and comparison, the automated test apparatus 200 can transmit the test result through the connection port 210, so that the DUT of the object under test can display the test result. In embodiments where the computing device PC performs the analysis and comparison, the test results may be displayed on the computing device PC.

The above-mentioned automated test apparatus 200 integrates signals of a variety of mutually incompatible data formats through the transmission integration interface 220 to transmit the signals according to the corresponding transmission protocol. At the same time, the processor 230 generates a test command, so that the DUT can perform the test operation. In this way, the automated test apparatus 200 can test DUTs of various brands or models, thereby simultaneously improving the performance of the test operation and reducing the cost of the test operation. Therefore, the automated testing system 100 can effectively replace traditional manual operations, and can avoid the lack of conventional knowledge.

According to the automated test system 100 of FIG. 1 , an embodiment of a portion of the functional test site ST3 is shown in FIG. 3 . In this embodiment, it is explained whether the image display and voice function of the DUT of the test object are normal. The automated test apparatus 300 shown in FIG. 3 is similar to the automated test apparatus 200 shown in FIG. 2 or the automated test apparatus 100 shown in FIG. 1 , and the same points are not repeated here.

As shown in FIG. 3 , after the automated test device 300 is coupled to the DUT, a test command is sent to the DUT to trigger the DUT to start a test operation. The audio-visual equipment AUD includes a left microphone LMIC, a right microphone RMIC and a camera CAM, and is coupled to the DUT and the computing device PC. In some embodiments, the left microphone LMIC and the right microphone RMIC are directional microphones, so as to improve the accuracy of sound collection.

As mentioned above, the audio and video equipment AUD is used to assist in testing operations, for example, to capture audio and video signals generated by the DUT, and transmit the audio and video signals to the computing device PC for analysis by the computing device PC to generate test results.

Please also refer to FIG. 4 , which is a flowchart of an embodiment of the automated testing method 400 applied to FIG. 3 .

As shown in FIG. 4, in block 410, the automated testing method 400 is started, including the testing of the image display function and the voice function.

In block 420, the computing device PC is used to determine whether the sample data has been created, so as to confirm whether the data (eg, sample video or sample voice) required to be output by the DUT during the test process has been produced. The sample data is expressed as the preset comparison data, that is, the signal that can be output by the DUT without abnormality. In some embodiments, the sample data are continuous color photographs. In some embodiments, the sample data is a continuous piece of audio. In some embodiments, the sample data is continuous video and audio data. For example, the sample data is represented as an image that a normal TV can display, or a sound that can be played.

If the sample data has not been created, block 430 is performed.

In block 430, sample data is created by the computing device PC, and then block 410 is re-executed.

If sample data has been created, block 440 is performed.

In block 440, it is determined by the computing device PC whether the audio and video device AUD is installed correctly. In some embodiments, as shown in FIG. 3 , the computing device PC will simultaneously determine whether the left microphone LMIC, the right microphone RMIC and the camera CAM are set correctly. For example, it is determined whether the left microphone LMIC and the right microphone RMIC are installed oppositely, whether the camera CAM can actually record the overall display screen of the DUT, and so on.

If the audio-visual equipment AUD is not installed correctly, block 450 is executed.

In block 450, the computing device PC is used to drive the audio-visual equipment AUD, and adjust the audio-visual equipment AUD to an appropriate installation mode. In some instances, the sensor of the computing device PC (not shown in the figure) can detect the position of the audio-visual device AUD relative to the DUT, and use the driver of the computing device PC (not shown in the figure) to adjust the audio-visual device. AUD to match the setting method of this test operation.

Block 450 continues to re-execute block 440 until the determination result in block 440 is that the audio-visual equipment AUD has been installed correctly, and block 460 is executed.

If the audio-visual equipment AUD has been installed correctly, block 460 is executed.

In block 460, a functional test of the DUT is performed through the automated test device 300 and the audio-visual equipment AUD, including the image display of the DUT and the test of the voice function.

Then, block 470 is executed, analysis and comparison are performed through the computing device PC and a test result is generated to indicate whether the function of the DUT is abnormal.

FIG. 6 is a flow chart of a testing method for the image display function of the DUT according to an embodiment of FIG. 4 . As shown in Figure 6, by continuously and automatically performing tests of various display functions, including foreign object detection, color image and contour image, etc., a good test efficiency can be achieved.

In block 610, corresponding to the brand or model of the object to be tested, the automated testing device or computer equipment generates a preliminary sample video and a preliminary sample photo according to a plurality of preliminary sample images of the object to be tested, which are used as the subsequent images of the plurality of objects to be tested. comparison standard.

In an example, for a test object of a certain brand and model, the characteristic image of the test object is firstly transmitted to the test object through the computing device, and the test object is made to play these characteristic images, and at the same time through the The camera captures images at different time points to generate a plurality of characteristic photos.

The characteristic image reflects the characteristics displayed by multiple static images of the object to be tested, including the positioning of the display pattern, the position of the center point, and the like. Some examples of characteristic photos are shown in FIG. 5A, which is a positioning image 501 of the object under test.

As shown in FIG. 5A , the positioning image 501 includes at least one positioning pattern a, b, and c. At least two of the positioning patterns a, b, and c correspond to different positions on the display screen of the object to be tested, and have different sizes.

Following the above description, the characteristic photos are transmitted to the computing device, and a plurality of preliminary sample images are generated by the computing device according to the characteristic photos. Then, through the computing device, the preliminary sample images are concatenated to generate a preliminary sample video.

The preliminary sample video (and preliminary sample image) reflects a plurality of dynamic image display characteristics of the object to be tested, including the change of the background color block, the color, and the smear image. The preliminary sample video is composed of several different preliminary image photos concatenated together. It can be understood that a frame of a certain time point of the preliminary sample video is a certain preliminary sample image. An example of a preliminary sample image is shown in FIG. 5B , which is a patch positioning image 502 .

As shown in Figure 5B, the color patch positioning image 502 includes a positioning pattern a' corresponding to the positioning pattern a in the aforementioned feature photo (ie, positioning image 501), wherein the positioning pattern a' has a circular pattern a1. The color patch positioning image 502 further includes a plurality of color patches d1, d2, d3, d4 and a color block e located in the middle of the color patches. The color blocks d1, d2, d3, and d4 have different colors respectively, and serve as the background color blocks of the image. The color blocks d1, d2, d3, and d4 are colors of different color gamuts. The color block e has a plurality of continuous color gamut colors. The other color patch positioning images 502 are changed images generated based on the color patch positioning image 502 shown in FIG. 5B . For example, the color blocks d1, d2, d3, and d4 have different arrangements, and the relative positions of the circular pattern a1 and the positioning pattern a' are also different. For example, the color patches in another color patch positioning image 502 are arranged clockwise as d1, d3, d2, and d4.

In some embodiments, the color blocks d1, d2, d3, d4 and/or the positioning pattern a' in the preliminary sample video change as the playback time increases. In some examples, the color blocks d1 , d2 , d3 , and d4 in the preliminary sample video rotate clockwise as the playback time increases. In some embodiments, the circular pattern a1 in the preliminary sample film moves back and forth horizontally in the positioning pattern a' as the playback time increases. In some embodiments, the color blocks d1, d2, d3, and d4 of the preliminary sample video are rotated clockwise as the playback time increases, and the circular pattern a1 moves from the leftmost to the rightmost of the positioning pattern a', and then Go back to the far left. The time required for the aforementioned pattern change is a cycle, and the preliminary sample video will repeat a plurality of preliminary sample photos in this cycle. Therefore, the change of the pattern in the preliminary sample video and the design of the pattern itself can be used to test the image display function.

In another example, a plurality of characteristic images of a test object of a certain brand and model already include the positioning image 501 in Fig. 5A and the color patch positioning image 502 in Fig. 5B, and the test object is played these characteristic images. Similar to the aforementioned example, the camera captures images at different time points and generates preliminary sample images, thereby generating preliminary sample videos.

Continuing the operations of the above two examples, the object to be tested plays a preliminary sample video, and captures images at different time points through a camera to generate preliminary sample photos, which are used as icons for comparison standards.

Therefore, the preliminary sample photo is a frame at certain time points in the preliminary sample video captured by the camera and played by the object to be tested, which is almost identical to the preliminary sample image (assuming that the object to be tested is not abnormal). That is, some examples of preliminary sample photos are the diagrams shown in Figure 5A or Figure 5B.

Block 615 is then executed. In block 615, a computer sample video is generated according to the plurality of preliminary sample photos and at least one auxiliary sample photo. The above-mentioned preliminary sample photos are color images, and the auxiliary sample photos are grayscale images.

As mentioned above, the preliminary sample photos are color images as shown in FIG. 5A or FIG. 5B , and the preliminary sample photos respectively have different color patterns. In addition, the auxiliary sample photo may be a monochrome grayscale image.

In this embodiment, the preliminary sample video and the computer sample video are generated by computer equipment. In another implementation, the computer equipment may transmit the above-mentioned plurality of preliminary sample photos and auxiliary sample photos to the automated testing device. Next, the automated testing device generates a preliminary sample video and a computer sample video, but the present disclosure is not limited to the foregoing methods.

In some embodiments, combining the preliminary sample photos and the auxiliary sample photos is to insert multiple auxiliary sample photos between the multiple preliminary sample photos respectively. Since the preliminary sample photo is a color image and the auxiliary sample photo is a grayscale image, the computer sample video includes a color image and a grayscale image.

In some embodiments, the preliminary sample photo is a plurality of photos with a periodically repeating set of the same pattern variation. By inserting evenly between the auxiliary sample photos and the preliminary sample photos in one cycle. For example, the cycle of the repeated pattern change of the preliminary sample photo is 2.2 seconds, and an auxiliary sample photo is inserted into the preliminary sample photo of each cycle every 0.2 seconds, so there are 12 auxiliary sample photos in each cycle of the on-camera sample video .

Block 620 is then executed. The automated testing device instructs the DUT to play the on-board sample video produced in the block 615 . At the same time, the camera captures the content corresponding to the sample video played by the object to be tested, and generates a test photo. For example, the camera takes a picture every 250 milliseconds (msec) and continuously takes ten pictures in each cycle. That is to say, the camera can take a plurality of pictures of the sample video of the object under test at different time points during the process of displaying the image of the object under test, and these pictures are the test pictures sampled by the camera. The camera then transmits the test photo to the computing device, and block 625 continues.

In block 625, the computing device compares the test photo in block 620 with the preliminary sample photo in block 615 to determine whether the test photo conforms to the preliminary sample photo.

In some embodiments, the operation of comparing the test photos and the preliminary sample photos is to compare each test photo with a plurality of preliminary sample photos in sequence, so as to compare whether the test photos conform to any one of the preliminary sample photos. In some examples, the aforementioned comparison may be based on whether the test photo is template matching with the preliminary sample photo.

When the test photo does not match any of the preliminary sample photos, it means that the test photo is not the photo corresponding to the positioning image 501 in Fig. 5A or the color patch positioning image 502 in Fig. 5B. Assuming that the object to be tested has a normal image display function, this test photo may correspond to the aforementioned auxiliary sample photo, resulting in that the test photo does not match all the preliminary sample photos. On the other hand, assuming that the object under test does not have a normal image display function, the test photo captured by the camera may be different from the content of the sample video on the machine, resulting in a discrepancy between the test photo and the preliminary sample photo.

When the test photo does not match the preliminary sample photo, block 630 is performed.

In block 630, the computing device performs foreign object detection on the test photos to compare whether abnormal images or spots appear in the test photos. In the following and FIG. 7, the method of foreign object detection is further explained in more detail.

Then, block 640 is executed to determine whether the object to be tested is abnormal through the computer equipment, that is, to determine whether the object to be tested has passed the foreign object detection.

When the computing device determines that the test photo has passed the foreign object detection, that is, when the determination result is no abnormality, block 650 is executed.

When the computing device determines that the test photo fails the foreign object detection, that is, when the determination result is abnormal, block 645 is executed, and a display function error message is generated through the computing device. In some examples, in block 645, a prompt message is displayed on the display module of the object to be tested through the computing device to notify the operator that the object to be tested has not passed the test of the image display function.

Following block 625, when the test photo matches the preliminary sample photo, block 630 is executed. That is, at least one of the test photos and the preliminary sample photos match each other.

In block 635, the computing device performs a color image test and a contour image test to compare whether there is an abnormal display color in the test photo, and whether there is an abnormal contour pattern in the test photo.

Then, block 640 is executed to determine whether the object to be tested is abnormal through the computer equipment, that is, to determine whether the object to be tested has passed the color image test and the contour image test.

Block 650 is performed when the computing device determines that the test photo passes the color image test and the outline image test. When the computing device determines that the test photo fails the color image test and the outline image test, block 645 is executed, and a display function error message is generated by the computing device as described above.

In some embodiments, in block 635, since the test photo is a color photo as shown in FIG. 5B. By comparing the corresponding color block e in the test photo and the preliminary sample photo, it can be known whether the color is abnormal.

In addition, during the contour image test, by comparing the respective patterns in the test photo and the preliminary sample photo, it can be known whether the contour of the pattern is abnormal, such as distortion or breakage.

Next, when the test results of the foreign object detection (corresponding to block 630 ) and the color image test and the contour image test (corresponding to block 635 ) are all passed, block 650 is executed respectively.

In block 650, a drag image test and a stuck image test are performed through the computing device to compare whether there are multiple abnormal patterns in the test photo, or if there are abnormalities such as missing part of the pattern, for example, a certain pattern in the test photo appears multiple times. shadow.

As in the above-mentioned embodiment, the preliminary sample photos include the illustration shown in Figure 5B, and a plurality of consecutive preliminary sample photos repeat a set of continuous pattern changes with a certain period. Therefore, the survey photos captured by the camera are photos of the sample video on the computer at several time points, and are sequentially captured according to the extension of the playing time of the sample video on the computer.

In this way, during the drag image test process, a plurality of consecutive test photos obtained by the camera are compared with the preliminary sample photos, and it can be known whether there is any abnormality in the changing process of the circular pattern a1. For example, in the same test photo, there are multiple incomplete circular patterns a1 (that is, the drag afterimage of the positioning pattern a'; that is, the image is dragged); it can be understood that the object to be tested is playing the sample on the computer During the video, although the video can be played smoothly, there will be multiple afterimages in some patterns during the process.

In addition, during the stuck image test process, it is also possible to know whether there is any abnormality in the changing process of the color blocks d1, d2, d3, and d4. For example, the relative positions of the color blocks d1, d2, d3, and d4 are the same in each test photo (that is, the image freezes); The video is stuck on the same screen and cannot be output smoothly.

Then, block 655 is executed to determine whether the object to be tested is abnormal through the computing device, that is, to determine whether the object to be tested has passed the drag image test and the stuck image test.

When the computing device determines that the test photo has passed the drag image test and the stuck image test, that is, when the determination result is no abnormality, block 660 is executed. When the computing device determines that the test photo fails the drag image test and the stuck image test, that is, when the determination result is abnormal, block 645 is executed, as described above, the display function error message is generated by the computing device.

In block 660, the computing device generates a display function pass message according to the aforementioned judgment result, indicating that the object to be tested does not have an abnormal image display function.

Returning to the foreign object detection operation in block 630, please also refer to FIG. 7, which is a flowchart of the foreign object detection method.

As shown in FIG. 7, block 710, the foreign object detection is started.

In block 715, the computing device obtains a preliminary boundary outline and a screen center point of the test photo according to the test photo, which are the preliminary border ED0 and the center point CE0 shown in Figures 8A and 8B, respectively.

After executing block 720, the computing device generates a plurality of scan line data in the X-axis direction in the test photo according to the center point of the frame. The scan line data is a one-dimensional data line extending from the middle of the photo to the preliminary boundary outline.

In some embodiments, as shown in FIG. 8A , the first scan line data SCANX0 in the X-axis direction passing through the center point CE0 is obtained in the test photo. Next, other scan line data SCANX parallel to the first scan line data SCANX0 is obtained in the test photo. Therefore, the first scan line data is the scan line data SCANX0 passing through the center point CE0, and the other scan line data SCANX are distributed in the entire test photo in parallel with the scan line data SCANX0.

Then, block 725 is executed, and it is determined by the computing device whether the scan line data in the X-axis direction has been completed in the test photo. When it is determined that the result is not completed, block 720 is repeatedly executed. When the determination result is completed, block 730 is executed.

In block 730, the computing device generates a plurality of scan line data in the Y-axis direction in the test photo according to the center point of the frame, wherein the scan line data is a one-dimensional data line extending from the middle of the photo to the preliminary boundary outline.

In some embodiments, as shown in FIG. 8B , the first scan line data SCANY0 in the Y-axis direction passing through the center point CE0 is obtained in the test photo. Next, other scan line data SCANY parallel to the first scan line data SCANY0 is obtained in the test photo. Therefore, the first scan line data is the scan line data SCANY0 passing through the center point CE0, and the other scan line data SCANY are distributed in the entire test photo in parallel with the scan line data SCANY0.

Then, block 735 is executed, and it is determined by the computing device whether the scan line data in the Y-axis direction has been completed in the test photo. When it is determined that the result is not completed, block 730 is repeatedly executed. When the determination result is completed, block 740 is executed.

In block 740, the computing device obtains the actual boundary contour of the test photo according to data of a plurality of scan lines in two different directions in the test photo.

In some embodiments, the portion of the actual boundary contour of the test photo is shown in Figure 8C. Using the multiple scan line data SCANX in Fig. 8A, the outline of the actual test photo is drawn, that is, the outline of the actual image in the Y direction corresponding to the object under test when the image display function is performed. Similarly, a portion of the actual boundary contour of the test photo is shown in Figure 8D. Using the multiple scan line data SCANY in Figure 8B, the outline of the actual test photo is drawn, that is, the outline of the actual image in the X direction corresponding to the object to be tested when the display function is performed.

In some embodiments, as shown in Figures 8B and 8D, when there is a foreign object (such as the black dot ER shown in Figure 8D) on the screen displayed by the display module of the object to be tested, the object to be tested is playing When downloading a sample video from the camera, the display will show an incorrect image. Therefore, the test photos captured by the camera also have this foreign matter. When either end of the scan line data SCANY encounters the foreign object, it will be regarded as the boundary of the screen and the extension will be terminated. As a result, the length of the scan line data SCANY1 shown in FIG. 8B is different from that of other scan line data SCANY, so that the actual boundary contour obtained subsequently is abnormal. As shown in FIG. 8D, it is determined that there is a foreign object.

Thereby, the computing device obtains the boundary information of the test photo in the Y-axis direction, such as the boundary outline EDX shown in FIG. 8C . Similarly, the computing device obtains the boundary information of the test photo in the X-axis direction, such as the boundary outline EDY shown in FIG. 8D . Therefore, by synthesizing the boundary outline including EDX and the boundary outline including EDY, the actual boundary outline of the entire test photo can be known.

Then, block 745 is executed, and the computing device obtains the test information of the display screen of the object to be tested according to the actual boundary contour. It can be understood that the actual test result that can be performed by the DUT is converted into the corresponding display screen information, that is, the display screen test information, including the display screen size of the DUT, the size of the error image, and the error image relative to the entire display screen. location and other information. Similarly, the DUT with normal display function also has corresponding preset information of the display screen.

Then, block 750 is executed, and the display image test information and the display image preset information are compared through the computing device.

In some embodiments, the computing device compares the display screen test information and the corresponding parameters such as aspect ratio and area in the display screen preset information.

In block 755, it is determined by the computing device whether the test information of the display screen conforms to the preset information of the display screen, that is, it is determined whether the object to be tested has passed the foreign object detection.

In some embodiments, when the aspect ratio and area of the test information of the display screen are both within the error of the corresponding values of the preset information of the display screen, the computing device determines that the two are consistent, that is, the object to be tested passes the foreign object test; to fail.

When the computing device determines that the display image test information does not conform to the display image preset information, block 760 is executed to generate a display function error message through the computing device. In some examples, in block 760, a prompt message is displayed on the display module of the object to be tested through the computing device to notify the operator that the object to be tested has not passed the foreign object detection test.

When the computing device determines that the test information of the display screen conforms to the preset information of the display screen, that is, when the test result of the foreign object detection is passed, block 765 is executed.

In block 765, a foreign object detection pass message is generated by the computing device according to the aforementioned test result, indicating that the screen displayed by the object to be tested does not contain foreign objects. Continue back to block 640 in FIG. 6 to continue other subsequent display function tests.

Based on the above tests on display function, the image display function of the object to be tested is tested by the methods shown in Figure 6 and Figure 7, including foreign object test, color image test and contour image test, drag image test and freeze video test. In this way, multiple image display functions can be continuously tested, thereby improving the efficiency of testing operations.

Figures 9A, 9B, and 9C show the flow chart of the voice function testing method of the present invention, which is also the flow chart of the automated testing method according to an embodiment of Figure 4 .

In block 910, a sample speech is generated by an automated testing device or a computing device, which is used as a comparison standard for subsequent multiple DUTs.

In some embodiments, the sample speech includes channel markers and channel data, and the speech samples are multiple pieces of repeated speech data, and each piece of speech data has the same period. The channel markers include a left channel marker and a right channel marker, which are respectively used as trigger signals for the left channel test and the right channel test of the object under test. The channel data includes left channel data and right channel data, which are respectively used as comparison contents for the left channel test and the right channel test of the object to be tested.

In some embodiments, the sample speech includes left channel speech and right channel speech. Left channel speech contains left channel markers, right channel markers, and left channel data. The right channel speech contains left channel markers, right channel markers, and right channel data. In one cycle, the left channel voice is sequentially marked as left channel mark, left channel data, and right channel mark as the playback time increases. In addition, in the aforementioned period, the audio of the right channel becomes the left channel mark, the right channel mark and the right channel data in sequence as the playback time increases. The left channel data is used to test the left voice output function of the DUT, for example, to test whether the playback function of the left speaker of the DUT is normal. The right channel data is used to test the right voice output function of the DUT, for example, to test whether the playback function of the right speaker of the DUT is normal. Thereby, in one cycle, the voice output function of the left and right sides of the object to be tested can be tested at the same time.

FIG. 10A is an embodiment of the left channel speech shown in the present invention. In a cycle (times t1 and t2, and the interval between times t1, t2, and t3 in the figure is equal), the data content is sequentially marked as left channel mark, left channel data, and right channel mark as time elongates and blank. Alternatively, it can be understood that the period of the left channel speech includes a left sampling period t1 and a right sampling period t2. In the left sampling period t1, the data content includes the left channel mark and the left channel data; in the right sampling period t2, the data content includes the right channel mark and blank.

Similarly, Figure 10B is an embodiment of the right channel speech shown in the present invention. In one cycle (times t1 and t2 ), the data contents are sequentially left channel mark, blank, right channel mark and right channel data as time elongates. Similarly, the right channel speech includes a left sampling period t1 and a right sampling period t2. In the left sampling period t1, the data content includes the left channel mark and blank; in the right sampling period t2, the data content includes the right channel mark and the right channel data.

The left channel voice provides the output of the left voice device of the object under test, and the right channel voice provides the output of the right voice device of the object under test. Using the above-mentioned left and right channel voices to be played by the left and right voice devices of the object to be tested, and the data design method of the left and right channel voices, can improve the accuracy of the function test of the left and right voice devices respectively, and It can also be used to test whether the left and right voice devices are installed in opposite directions.

As shown in FIGS. 9A to 9C, in block 915, by turning on the left and right microphones of the audio-visual equipment, the left and right microphones record the sample voice played by the DUT, and generate a test voice.

As in the aforementioned embodiment, the left-side voice device of the object to be tested outputs the left-channel voice, and at the same time, the right-side voice device of the test object outputs the right-channel voice. Therefore, the left microphone and the right microphone will simultaneously record the left channel voice and the right channel voice output by the DUT, and generate the left test voice and the right test voice respectively, which are collectively referred to as test voices.

Similarly, assuming that the voice playback function of the voice device of the test object and the recording function of the microphone are both normal, the content of the test voice will correspond to the content of the sample voice. That is to say, the left test voice and the right test voice respectively include left channel markers, right channel markers, left channel data and right channel data corresponding to the sample voices.

Then, block 920 is executed, and the test voice recorded by the microphone device (ie, the left microphone and the right microphone) is analyzed by the computing device, so as to determine whether the microphone device can record the sound normally. When the microphone device cannot record sound normally, block 925 is executed.

In block 925, a voice function error message is generated through the computing device, indicating that the microphone device cannot record sound normally, and the microphone needs to be set up or set up again. In some instances, in block 925, a prompt message is displayed on the display module of the computing device to notify the operator that the microphone device cannot continue to perform the voice function test of the DUT.

When the microphone device can record sound normally, block 930 is executed.

In block 930, the computing device obtains the test voices (ie, the left test voice and the right test voice) respectively recorded by the left and right microphones, and then analyzes the test voices. The corresponding left channel mark and right channel mark in the test voice appear at certain times in the test voice, and serve as trigger marks for the left and right voice tests, respectively.

As in the above-mentioned embodiment, the left voice device and the right voice device of the DUT play the left channel voice and the right channel voice respectively and simultaneously, so both the left microphone and the right microphone are recorded from the left and right sides of the DUT. The sound output by the voice device thus generates a left test voice and a right test voice respectively. The computing device performs subsequent analysis on the test speech recorded by the left microphone and the right microphone, respectively, and then executes block 935 and block 960 simultaneously. Blocks 935, 940, 945, 950, 955 are for analyzing the test speech recorded by the left microphone. Blocks 960, 965, 970, 975, 980 are for analyzing the test speech recorded by the right microphone.

As shown in FIG. 9B , for the analysis of the test voice recorded by the left microphone, first in block 935 , it is determined by the computing device whether the left test voice captured by the left microphone is valid data.

For example, when the left test speech recorded by the left microphone contains a left channel marker or a right channel marker, where the left channel data or right channel data appearing after the left channel marker or the right channel marker, respectively, persists. When the time is greater than a preset value, it is determined that the left channel data is valid data.

The operation of confirming that the test voice recorded by the left microphone is valid data in block 935 can be understood as determining that these signals captured by the left microphone (that is, the content of the test voice) are all meaningful signals corresponding to the sample voice, and these signals Data that exists continuously and stably in a cycle, not other sounds or noise. In some examples, the computing device determines whether the channel data after the channel marking lasts for a period of time in one cycle, so as to determine that the test voice recorded by the microphone is the sample voice played by the object under test or the noise in the test environment.

When the left test speech captured by the left microphone is not valid data, block 985 is executed.

In block 985, continue to record the sample voice played by the DUT through the microphone device, and generate a test voice. In addition, when the sample voice playback time exceeds the preset value, a timeout message can be generated through the computing device and displayed on the display module of the computing device to notify the operator to re-execute the voice function test or set the voice function The test is failed.

When the left test voice captured by the left microphone is valid data, block 940 is executed next.

In block 940, the computing device calculates the sum of the signal strengths of the left channel data captured by the left microphone in one cycle (eg, times t1 and t2 in Figures 10A and 10B). The sum of the signal strength of the channel data indicates the volume level of the meaningful data of the left channel data. In one cycle, the computing device determines whether the sum of the signal strengths of the left channel data captured by the left microphone is higher than the sum of the signal strengths of the left channel data captured by the right microphone, so as to determine whether the left microphone receives the left voice device Whether the volume of the voice device on the left is actually greater than the volume received by the right microphone, so as to determine whether the voice device on the left and the voice device on the right are set in opposite directions.

When the sum of the signal strengths of the left channel data captured by the left microphone is not higher than the sum of the signal strengths of the left channel data captured by the right microphone, it means that the right microphone actually records the sample voice played by the left voice device. That is to say, the left voice device and the right voice device of the object to be tested are installed in opposite directions. Block 945 is then executed.

In block 945, a voice function error message is generated by the computing device, indicating that the DUT has an abnormal voice output function.

When the sum of the signal strengths of the left channel data captured by the left microphone is higher than the sum of the signal strengths of the left channel data captured by the right microphone, it means that the left microphone actually records the sample voice played by the left voice device. That is to say, the left voice device and the right voice device of the object to be tested are installed correctly.

In addition, when the sum of the signal strengths of the left channel data captured by the left microphone is higher than the sum of the signal strengths of the left channel data captured by the right microphone, a qualified number of times may be added to a counter, and the block 950 is executed continuously. .

In block 950, it is determined by the computing device whether the number of qualified times exceeds the preset number of times. Determine whether the qualified times of the left channel data captured by the left microphone are higher than the preset times through the computing device, so as to determine that the left voice device of the object under test can output the voice signal stably and correctly.

When the qualified times of the left channel data captured by the left microphone is not higher than the preset qualified times, it means that the left microphone cannot continuously record the sample voice played by the left voice device for a period of time. That is to say, if the voice function of the left voice device of the object to be tested is abnormal, or the recording time of the left microphone is insufficient, return to block 985 .

When the qualified times of the left channel data captured by the left microphone is higher than the preset qualified times, it means that the left microphone can continuously record the sample voice played by the left voice device for a period of time. Block 955 is then executed.

In block 955, a left voice device passing message is generated by the computing device, indicating that the left voice device of the DUT has passed the voice function test.

As shown in FIG. 9C , for the analysis of the test voice recorded by the right microphone, first in block 960 , the computing device determines whether the right test voice captured by the right microphone is valid data.

For example, when the right test speech recorded by the right microphone contains a left channel marker or a right channel marker, the duration of the left channel data or right channel data appearing after the left channel marker or right channel marker, respectively When it is greater than the above-mentioned default value (as illustrated by the block 935 in Fig. 9B), it is determined that the right channel data is valid data.

Similarly, the operation of confirming valid data performed by block 960 can be understood as determining that the signals captured by the right microphone are all meaningful signals corresponding to the sample speech, and these signals are continuous and stable in this period. data, and other sounds or noise. In some examples, the computing device determines whether the channel data after the channel marking lasts for a period of time in one cycle, so as to determine that the test voice recorded by the microphone is the sample voice played by the object under test or the noise in the test environment.

When the right test voice captured by the right microphone is not valid data, it means that the recording time of the right microphone is insufficient, and block 985 is executed.

In block 985, the microphone continues to record the sample speech played by the DUT, and generates a test speech. Similarly, when the time of sample voice playback exceeds the above-mentioned preset value, a timeout message can be generated through the computing device and displayed on the display module of the computing device to notify the operator to re-execute the voice function test or set the voice function. The test is failed.

When the right test voice captured by the right microphone is valid data, block 965 is executed next.

In block 965, the computing device calculates the sum of the signal strengths of the right channel data captured by the right microphone in a period (eg, times t1 and t2 in Figures 10A and 10B). The sum of the signal strength of the channel data indicates the volume level of the meaningful data of the right channel data. In one cycle, the computing device determines whether the sum of the signal strengths of the right channel data captured by the right microphone is higher than the sum of the signal strengths of the right channel data captured by the left microphone, so as to determine whether the right microphone receives the right voice device Whether the volume of the voice device on the right is actually greater than the volume received by the left microphone, so as to determine whether the voice device on the right and the voice device on the left are set in opposite directions.

When the sum of the signal strengths of the right channel data captured by the right microphone is not higher than the sum of the signal strengths of the right channel data captured by the left microphone, it means that the left microphone actually records the sample voice played by the right voice device. That is to say, the right voice device and the left voice device of the object to be tested are installed in opposite directions. Block 970 is then executed.

In block 970, a voice function error message is generated by the computing device, indicating that the DUT has an abnormal voice output function.

When the sum of the signal strengths of the right channel data captured by the right microphone is higher than the sum of the signal strengths of the right channel data captured by the left microphone, it means that the right microphone actually records the sample voice played by the right voice device. That is to say, the right voice device and the left voice device of the object to be tested are installed correctly.

In addition, when the sum of the signal strengths of the right channel data captured by the right microphone is higher than the sum of the signal strengths of the left channel data captured by the left microphone, a qualified number of times may be added to the counter, and block 975 is executed.

In block 975, it is determined by the computing device whether the number of qualified times exceeds the preset number of times. Determine whether the qualified times of the right channel data captured by the right microphone are higher than the preset times through the computing device, so as to determine that the right voice device of the object under test can output the voice signal stably and correctly.

When the qualified times of the right channel data captured by the right microphone is not higher than the preset qualified times, it means that the right microphone cannot continuously record the sample voice played by the right voice device for a period of time. That is to say, if the voice function of the right voice device of the object to be tested is abnormal, or the recording time of the right microphone is insufficient, return to block 985 .

When the qualified times of the right channel data captured by the right microphone is higher than the preset qualified times, it means that the right microphone can continuously record the sample voice played by the right voice device for a period of time. Block 980 is then executed.

In block 980, a right voice device passing message is generated by the computing device, indicating that the right voice device of the DUT has passed the voice function test.

In blocks 955 and 980, the computing device generates voice pass messages for the left and right devices, respectively, indicating that the left voice device and the right voice device of the object to be tested do not have abnormal voice functions, respectively.

Based on the above tests on the voice function, the method shown in Figures 9A, 9B, and 9C can test the voice output function of the object under test, including the voice output function test of the left voice device and the right voice device respectively. Test the relative installation position of the left and right voice devices. In this way, by using the designed sample voice, the left and right voice devices can be analyzed at the same time, thus improving the efficiency of the test operation.

In some embodiments, the frequency of the left channel marker is higher than that of the left channel data, such as the frequency fL shown in Figs. 10A and 10B, as a trigger signal for the analysis of the left microphone. The frequency of the right channel marker is higher than the right channel data, such as the frequency fR shown in Figures 10A and 10B, which is used as the trigger signal for the analysis of the right microphone. In addition, the frequency (fR) of the right channel marker is different from the frequency (fL) of the left channel marker, so that the signals captured by the left microphone and the right microphone can be effectively separated during analysis.

In some embodiments, the frequencies (fL, fR) of the right and left channel markers are between 20,000 Hz and 15,000 Hz. Considering that the frequency response of general speakers and microphones is relatively flat within 20,000 Hz, and the frequency response decreases after 20,000 Hz. In addition, the human ear is relatively insensitive to high-frequency sounds. Therefore, we use the frequency range above 15,000 Hz and below 20,000 Hz, which the human ear is less sensitive to and the frequency response of general speakers and microphones is still normal as the signal frequency band.

To sum up, performing various functional tests on the object under test by the automated test system can increase the efficiency of the overall test operation. The automated test-to-device has a variety of compatible transmission protocols to match different brands or models of DUTs, thereby improving the efficiency of the test process. The automated test method includes the test of the image display function and the voice function of the object under test, which is used in the automated test system to shorten the time of the test operation and have good accuracy at the same time.

Although the present disclosure has been disclosed above with examples, it is not intended to limit the present disclosure. Anyone skilled in the art can make various changes and modifications without departing from the spirit and scope of the present disclosure. The scope of protection of the disclosure document shall be determined by the scope of the patent application attached hereto.

100: Automated Test Systems 110: Automated test equipment 120: Teleportation Structure DUT: object to be tested ST1: Functional test place ST2: Functional Test Office ST3: Functional Test Office STn: functional test place 300: Automated Test Equipment CAM: camera RMIC: Right Microphone LMIC: Left microphone 410, 420, 430, 440: Blocks 450, 460, 470: Blocks 501: Positioning Image 502: Color block positioning image A,b,c: positioning pattern a': positioning pattern a1: circular pattern d1,d2,d3,d4: color blocks e: color block 910, 915, 920, 925: Blocks 930,935,940,945: Blocks 950,955,960,965: Blocks 970,975,980: Blocks fR,fL,fdata: frequency t1,t2,t3: time AUD: Audio and video equipment PC: computing device 200: Automated Test Equipment 210: port 211:USB port 212: HDMI port 213:USB port 220: Transmission Integration Interface 221: Signal Converter 222: switch 223: switch 224A: switch 224B: switch 230: Processor 610, 615, 620: Blocks 625, 630, 635, 640: Blocks 645, 650, 655, 660: Blocks 710, 715, 720, 725: Blocks 730, 735, 740, 745: Blocks 750,755,760,765: Blocks CE0: center point ED0: Preliminary boundary SCANX0, SCANX: Scan line data SCANY0, SCANY, SCANY1: Scan line data ER: black dot EDX,EDY: Boundary outline

In order to make the above and other objects, features, advantages and embodiments of the present disclosure more clearly understood, the accompanying drawings are described as follows: FIG. 1 shows a block diagram of an automated testing system according to an embodiment of the present disclosure; FIG. 2 shows a block diagram of an embodiment of the automated testing apparatus according to FIG. 1; Figure 3 shows a block diagram of one embodiment of a portion of the automated test system according to Figure 1; FIG. 4 illustrates a flowchart of an automated testing method according to an embodiment of the present disclosure; FIG. 5A shows a schematic diagram of a positioning image according to an embodiment of the present disclosure; 5B is a schematic diagram of a color patch positioning image according to an embodiment of the present disclosure; FIG. 6 shows a flowchart of an automated testing method according to an embodiment of FIG. 4; FIG. 7 shows a flow chart of false image testing according to an embodiment of FIG. 6; FIG. 8A shows a schematic diagram of an embodiment of a test photo according to an embodiment of FIG. 7 FIG. 8B shows a schematic diagram of an embodiment of a test photo according to an embodiment of FIG. 7; Figure 8C shows a schematic diagram of an embodiment of a test photo according to an embodiment of Figure 8A; Figure 8D shows a schematic diagram of an embodiment of a test photo according to an embodiment of Figure 8B; Figures 9A, 9B, and 9C illustrate a flowchart of an automated testing method according to an embodiment of Figure 4; Figure 10A shows a schematic diagram of one embodiment of the sample speech according to Figures 9A, 9B, 9C; and Figure 10B shows a schematic diagram of one embodiment of the sample speech according to Figures 9A, 9B, and 9C.

610, 615, 620, 625, 630, 635, 640, 645: Blocks

650,655,660: Blocks

Claims (8)

An automated testing method for testing the function of a test object, comprising: generating a sample voice through a first processor, wherein the sample voice includes plural voice data, and each of the voice data has the same period, The first processor is coupled to the object under test through a first port to transmit the sample voice to the object under test through the port; captures the sample voice played by the object under test through a radio device; The second processor analyzes the sample voice captured by the radio device to generate a voice result, the second processor is coupled to the radio device through a second port to receive the audio captured by the radio device through the second port The sample voice is obtained; and according to the voice result, a voice error message or a voice pass message is generated by the second processor to indicate whether the voice function of the object to be tested is abnormal. The automated testing method of claim 1, wherein each of the voice data sequentially includes a left channel marker, a left channel data, a right channel marker, and a right channel data. The automated testing method according to claim 2, wherein the step of analyzing the sample voice captured by the radio device comprises: judging whether the sample voice captured by the radio device is valid data; and When the sample voice captured by the sound-receiving device is not valid data, the sample voice played by the object to be tested is continuously captured through the sound-receiving device. The automated testing method according to claim 2, wherein the step of analyzing the sample speech captured by the radio device further comprises: judging whether the signal strength of the left channel data captured by the left device of the radio device is greater than the signal strength of the The signal strength of the left channel data captured by the right device of the radio device; when the signal strength of the left channel data captured by the left device of the radio device is less than or equal to the signal intensity captured by the right device of the radio device When the signal strength of the left channel data is used, the voice result with an error is generated; it is determined whether the signal strength of the right channel data captured by the right device of the radio device is greater than the signal intensity captured by the left device of the radio device. The signal strength of the right channel data; and when the signal strength of the right channel data captured by the right device of the radio device is less than or equal to the signal strength of the right channel data captured by the left device of the radio device , producing the speech result with an error. The automated testing method as claimed in claim 4, wherein the step of analyzing the sample speech captured by the audio pickup device further comprises: when the signal strength of the left channel data captured by the left device of the audio pickup device is greater than that of the audio pickup When the signal strength of the left channel data captured by the right device of the device is obtained, calculate a left pass count; determine whether the left pass count exceeds a left preset count; When the left-side qualified number does not exceed the left-side preset number of times, continue to capture the sample voice played by the DUT through the radio device; when the right-hand device of the radio device captures the signal of the right channel data When the strength is greater than the signal strength of the right channel data captured by the left device of the radio device, calculate a right pass count; and when the right pass count does not exceed a right preset count, continue to capture through the radio device The sample voice played by the DUT. The automated testing method as claimed in claim 5, wherein the step of analyzing the sample voice captured by the audio pickup device further comprises: when the number of passes on the left side exceeds the preset number of times on the left side, generating the voice result having a pass; and When the right pass number exceeds the right preset number, the voice result with pass is generated. The automated testing method of claim 2, wherein in the same period, the signal length of the left channel data is greater than the signal length of the left channel mark, and the signal length of the right channel data is greater than the right channel mark signal length. The automated testing method of claim 2, wherein the frequency of the left channel marker is different from the frequency of the right channel marker.

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