Method, apparatus, and device for identifying left eye and right eye

Abstract

This application provides a method, apparatus, and device for left and right eye recognition. The method involves emitting a first signal at a first angle and a second signal at a second angle; receiving reflected signals, including a first reflected signal and a second reflected signal, where the first reflected signal is the signal reflected back from the first signal and the second reflected signal is the signal reflected back from the second signal; and determining whether the currently measured eye is the left or right eye based on the first and second reflected signals. Both the first and second signals are optical signals, or both are coded signals, where the coded signal is an optical signal carrying a code. Embodiments of this application can automatically identify the left and right eyes.

Description

Technical Field

[0001] This application relates to the field of sensor measurement, and in particular to a method, apparatus and device for left and right eye recognition. Background Technology

[0002] In recent years, due to various factors leading to eye diseases and unhealthy eye habits, an increasing number of people are suffering from myopia, glaucoma, fundus diseases, cataracts, and other conditions. Extensive eye examinations have become routine. Eye examinations require distinguishing between the left and right eyes; traditional methods involve manual recording, which is prone to errors, leading to inaccurate test results and affecting diagnosis and treatment. Summary of the Invention

[0003] This application provides a method, apparatus, and device for left and right eye recognition, which can automatically identify the left and right eyes.

[0004] In a first aspect, embodiments of this application provide a method for left and right eye recognition, the method comprising:

[0005] A first signal is transmitted at a first angle, and a second signal is transmitted at a second angle;

[0006] The reflected signal is received, which includes a first reflected signal and a second reflected signal. The first reflected signal is the signal reflected back from the first signal, and the second reflected signal is the signal reflected back from the second signal.

[0007] Based on the first and second reflected signals, it is determined whether the currently measured eye is the left or right eye. Both the first and second signals are light signals, or both the first and second signals are coded signals, wherein the coded signal is a light signal carrying a code.

[0008] In one embodiment, the eye currently being measured is determined to be either the left or right eye based on a first reflection signal and a second reflection signal, including...

[0009] When both the first signal and the second signal are optical signals, the first signal intensity of the first reflected signal and the second signal intensity of the second reflected signal are obtained.

[0010] If the first signal strength is greater than the second signal strength, and the absolute value of the difference between the two is greater than the first preset threshold, then the eye being measured is determined to be the left eye.

[0011] If the first signal strength is less than the second signal strength, and the absolute value of the difference between the two is greater than the second preset threshold, the eye being measured is determined to be the right eye.

[0012] In one embodiment, before transmitting the first signal at a first angle and the second signal at a second angle, the process includes:

[0013] Acquire the ambient light intensity of the environment surrounding the face of the person being tested;

[0014] Determine the signal reference strength based on the environmental intensity;

[0015] Determine the transmitted signal strengths of the first and second signals based on the signal reference strength;

[0016] Transmitting a first signal at a first angle and transmitting a second signal at a second angle includes:

[0017] A first signal is transmitted at a first angle and with a transmission signal strength, and a second signal is transmitted at a second angle and with a transmission signal strength.

[0018] In one embodiment, obtaining the first signal strength of the first reflected signal includes:

[0019] The first corrected strength is obtained based on the signal reference strength;

[0020] Based on the first correction intensity, the received first reflected signal is corrected to obtain the first corrected reflected signal of the first reflected signal;

[0021] The first signal strength of the first reflected signal is obtained based on the first corrected reflected signal.

[0022] In one embodiment, obtaining the second signal strength of the second reflected signal includes:

[0023] The second corrected strength is obtained based on the signal reference strength;

[0024] Based on the second correction intensity, the received second reflected signal is corrected to obtain the second corrected reflected signal of the second reflected signal;

[0025] The second signal strength of the second reflected signal is obtained based on the second corrected reflected signal.

[0026] In one embodiment, both the first signal and the second signal are coded signals. Transmitting the first signal at a first angle and transmitting the second signal at a second angle includes:

[0027] A first coded signal is transmitted at a first angle, and a second coded signal is transmitted at a second angle, wherein the first signal includes the first coded signal and the second signal includes the second coded signal;

[0028] Receive the reflected signal, including:

[0029] The system receives a first reflected coded signal reflected back from a first coded signal and a second reflected coded signal reflected back from a second coded signal. The reflected signals include the first reflected coded signal and the second reflected coded signal.

[0030] In one embodiment, determining whether the currently measured eye is the left or right eye based on the first and second reflection signals includes:

[0031] Obtain the first decoded value of the first reflection-coded signal and the second decoded value of the second reflection-coded signal;

[0032] Based on the first decoded value and the encoded value of the first encoded signal, determine the first bit error rate of the first reflected coded signal;

[0033] The second bit error rate of the second reflected coded signal is determined based on the second decoded value and the encoded value of the second coded signal.

[0034] If the first bit error rate is less than the second bit error rate, the eye being measured is determined to be the left eye;

[0035] If the first bit error rate is greater than the second bit error rate, the eye being measured is determined to be the right eye.

[0036] In one embodiment, before transmitting the first signal at a first angle and the second signal at a second angle, the process includes:

[0037] Based on a preset human head shape, a first angle of the first signal and a second angle of the second signal are determined, such that the first signal is reflected by the human face and the second signal is emitted from the side of the human face, or such that the first signal is emitted from the side of the human face and the second signal is reflected by the human face.

[0038] Secondly, this application provides a left-right eye recognition device, the device comprising:

[0039] A transmitting module is used to transmit a first signal at a first angle and a second signal at a second angle;

[0040] The receiving module is used to receive reflected signals, which include a first reflected signal and a second reflected signal. The first reflected signal is the signal reflected back from a first signal, and the second reflected signal is the signal reflected back from a second signal.

[0041] The determining module is used to determine whether the currently measured eye is the left eye or the right eye based on the first reflection signal and the second reflection signal, wherein the first signal and the second signal are both light signals, or both the first signal and the second signal are coded signals, wherein the coded signal is a light signal carrying a code.

[0042] Thirdly, embodiments of this application provide an electronic device, which includes: a processor and a memory storing computer program instructions;

[0043] When the processor executes computer program instructions, it implements the left and right eye recognition method as in any of the embodiments of the first aspect.

[0044] Fourthly, embodiments of this application provide a computer storage medium storing computer program instructions, which, when executed by a processor, implement the left and right eye recognition method as described in any of the embodiments of the first aspect.

[0045] In a left-right eye recognition method, apparatus, and device provided in this application embodiment, a first signal is emitted at a first angle, and a second signal is emitted at a second angle; reflected signals are received, including a first reflected signal and a second reflected signal, where the first reflected signal is the signal reflected back from the first signal, and the second reflected signal is the signal reflected back from the second signal; based on the first and second reflected signals, it is determined whether the currently measured eye is the left or right eye. Both the first and second signals are light signals, or both are coded signals, where the coded signal is a light signal carrying a code. Through this method, the first and second signals can be emitted towards the face at a certain angle, and the first and second reflected signals reflected back from the first and second signals can be received. By analyzing the first and second reflected signals, it is possible to automatically identify whether the currently measured eye is the left or right eye, improving the accuracy and intelligence of left-right eye recognition. Attached Figure Description

[0046] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 This is a flowchart illustrating a left-right eye recognition method provided in one embodiment of this application;

[0048] Figure 2 This is a schematic diagram of the structure of an intraocular pressure measuring device provided in an embodiment of this application;

[0049] Figure 3 This is a schematic diagram of the structure of a left and right eye recognition device provided in an embodiment of this application;

[0050] Figure 4 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0051] To better understand the above-mentioned objectives, features, and advantages of this disclosure, the solutions disclosed herein will be further described below. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0052] Numerous specific details are set forth in the following description in order to provide a full understanding of this disclosure, but this disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only some, and not all, of the embodiments of this disclosure.

[0053] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the term "comprising" or any other variations thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0054] In recent years, due to various factors leading to eye diseases and unhealthy eye habits, an increasing number of people are suffering from myopia, glaucoma, fundus diseases, cataracts, and other conditions, making extensive eye examinations a routine necessity. Eye examinations require distinguishing between the left and right eyes. Traditional methods involve manual recording, which is prone to errors, leading to inaccurate test results and affecting diagnosis and treatment. Currently, some testing devices are exploring automatic identification of the left and right eyes using video and microwave methods. The testing methods currently available on the market primarily employ video and microwave methods. However, video and microwave methods require complex algorithm calculations and necessary spatial structures, resulting in high overall costs.

[0055] To address the problems of the prior art, embodiments of this application provide a method, apparatus, and device for left and right eye recognition. The left and right eye recognition method provided in this application embodiment will be described first below.

[0056] Figure 1 A schematic flowchart of a left-eye recognition method according to an embodiment of this application is shown. Figure 1 As shown, the method may specifically include the following steps:

[0057] S101, transmit a first signal at a first angle and a second signal at a second angle.

[0058] Optionally, the left and right eye recognition method provided in this application embodiment is applied to an intraocular pressure measurement device, which may include a transmitter and a detector. The transmitter is used to transmit a first signal and a second signal, and the detector is used to receive signals reflected back from ambient light, the transmitted signal, etc.

[0059] In this embodiment, the first signal is emitted at a first angle and the second signal is emitted at a second angle to adapt to the shape and features of the human face, so that when using the intraocular pressure measuring device, one signal can be blocked by the human face and the other signal can pass through the side of the human face. For example, the first signal emitted at the first angle will be blocked by the human face, and the second signal emitted at the second angle will be emitted from the side of the human face, such as from the side of the ear, illuminating the back of the face; or, the first signal emitted at the first angle will be emitted from the side of the human face, and the second signal emitted at the second angle will be emitted toward the human face and blocked by the human face.

[0060] Optionally, in the embodiments of this application, the specific values ​​of the first angle and the second angle can be adjusted according to the face shape. For example, if the intraocular pressure measuring device is measuring a male, it will emit a preset angle for males; if it is measuring a female, it will emit a preset angle for females. It is easy to understand that this application does not limit the method of determining the first angle and the second angle. They can be obtained through model training or manually adjusted during measurement, as long as it can achieve the goal of one signal being blocked by the face and another signal passing through the side of the face. This application does not limit this.

[0061] S102, Receive the reflected signal, which includes a first reflected signal and a second reflected signal. The first reflected signal is the signal reflected back from the first signal, and the second reflected signal is the signal reflected back from the second signal.

[0062] Optionally, in the embodiments of this application, the first reflected signal is the reflected signal reflected back from the first signal, and the second reflected signal is the reflected signal reflected back from the second signal. It should be noted that when the first signal is blocked by a person's face when it is emitted, the first reflected signal should be the reflected signal reflected by the person's face; while when the first signal is emitted from the side of the person's face, the first reflected signal is the signal reflected back from the measurement environment.

[0063] Optionally, in this embodiment, the reflected signal can be received by the detector of the aforementioned intraocular pressure measuring device. In one possible implementation, it can be determined whether the received reflected signal belongs to the first signal or the second signal based on the identification information of the first and second signals themselves. Specifically, the identification information can be a unique coded symbol specific to each signal; by reading this coded symbol, it can be identified whether the received reflected signal belongs to the first signal or the second signal.

[0064] Optionally, in another possible implementation of this application, the received reflected signal can be identified as either the first reflected signal of the first signal or the second reflected signal of the second signal based on the transmission frequencies of the first and second signals. In this embodiment, when the detector of the intraocular pressure measuring device receives the reflected signal, it may also receive ambient light. This ambient light is usually a DC signal, which can be directly filtered out. Specifically, a high-pass filter or a low-pass filter can be used for electronic filtering to remove the DC signal. However, in the actual measurement environment, there may also be some modulated light. This light cannot be filtered out by the aforementioned DC signal filtering method. This modulated light often has a different frequency than the first and second signals. Therefore, an optical filter can be set to filter the modulated light. The optical filter can selectively pass or block signals of specific frequencies to achieve signal filtering. For example, a bandpass filter can be used to pass light of the desired frequency (i.e., the frequencies of the first and second signals), and a blocking filter can be used to block light of different frequencies (i.e., modulated light). More specifically, an interference filter, a prism filter, or a refractive filter can also be used to achieve optical signal filtering. It is readily understood that this application merely illustrates, by way of example, the method of identifying the first signal and the second signal, and is not limited thereto.

[0065] S103, based on the first reflection signal and the second reflection signal, determine whether the currently measured eye is the left eye or the right eye, where both the first signal and the second signal are light signals, or both the first signal and the second signal are coded signals, wherein the coded signal is a light signal carrying a code.

[0066] Optionally, in the embodiments of this application, the optical signal can be visible light, such as light with a wavelength range between 0.77 and 0.39 micrometers.

[0067] Optionally, in the embodiments of this application, the encoded signal can be an encoded signal, such as an optical signal that can carry data through analog signal or digital encoding. Specifically, it can be encoded with logic "1" and logic "0". It is easy to understand that optical signals can also carry information through modulation frequency and phase, and this application is not limited to this.

[0068] Optionally, in one possible implementation of this application, assuming that both the first signal and the second signal are optical signals, the eye currently being measured (left or right eye) can be determined by comparing the light intensities of the first and second reflected signals. In another possible implementation of this application, assuming that both the first and second signals are coded signals, the eye currently being measured (left or right eye) can be identified by reading and analyzing the specific coded values ​​carried in the first and second reflected signals.

[0069] In a left-right eye recognition method, apparatus, and device provided in this application embodiment, a first signal is emitted at a first angle, and a second signal is emitted at a second angle; reflected signals are received, including a first reflected signal and a second reflected signal, where the first reflected signal is the signal reflected back from the first signal, and the second reflected signal is the signal reflected back from the second signal; based on the first and second reflected signals, it is determined whether the currently measured eye is the left or right eye. Both the first and second signals are light signals, or both are coded signals, where the coded signal is a light signal carrying a code. Through this method, the first and second signals can be emitted towards the face at a certain angle, and the first and second reflected signals reflected back from the first and second signals can be received. By analyzing the first and second reflected signals, it is possible to automatically identify whether the currently measured eye is the left or right eye, improving the accuracy and intelligence of left-right eye recognition.

[0070] In one embodiment, step 103 above can be specifically performed as follows:

[0071] S201, when both the first signal and the second signal are optical signals, acquire the first signal strength of the first reflected signal and the second signal strength of the second reflected signal.

[0072] Optionally, in this embodiment of the application, after receiving the first reflected signal and the second reflected signal, the signal strength of the first reflected signal and the second reflected signal can be obtained by directly reading the signal structure of the first reflected signal and the second reflected signal; or, the signal strength of the reflected signal can be obtained by detecting the signal strength of the reflected signal through a signal strength detector.

[0073] S202, if the first signal strength is greater than the second signal strength and the absolute value of the difference between the two is greater than the first preset threshold, the eye being measured is determined to be the left eye.

[0074] Alternatively, in one possible implementation of this application, such as Figure 2 As shown, Figure 2The application device for the left / right eye recognition method of this application, an intraocular pressure measuring device, is shown. This device includes two or more light sources 4a / 4b that emit visible light, and at least one visible light detector 3. The visible light detector 3 detects visible light reflected from the subject's face or light reflected from the measurement environment. Based on the intensity of the received reflected light, it determines the eye 8 currently performing the measurement. When the intraocular pressure measuring device 1 is aligned with the eyeball 8, the light beams emitted by the emitters 4a / 4b, a second signal 6a and a first signal 6b, are directed at the sides of the subject at certain angles. The second signal 6a passes through the cheek and illuminates the back of the face, reflecting back and being received by the visible light detector 3. The first signal 6b, due to facial obstruction, is reflected and also received by the visible light detector 3. Since the first signal 6b is obstructed by the face, it will be reflected as a first reflected signal when passing by the face. The second signal 6a, however, is not obstructed by the face and is emitted directly from the side of the face. As a result, it will be obstructed by other objects in the environment and reflected back as a second reflected signal. However, since the first reflected signal is reflected directly from the face, it travels a shorter distance, while the second reflected signal is reflected from behind the face, so it must travel a longer distance. Therefore, the light intensity of the first reflected signal will be greater than that of the second reflected signal, thus confirming that the eye being measured is the left eye.

[0075] It is easy to understand that, due to the different shapes of human faces and heads, the first signal and the second signal may both be emitted from behind the face, or both may be blocked by the face. Therefore, it is necessary to reasonably set a threshold for the difference between the signal strength of the first reflected signal and the second reflected signal to determine whether the first signal is blocked by the face and the second signal is emitted from behind the face.

[0076] Optionally, in another possible implementation of this application, during left and right eye recognition, the left visible light emitter 4a and the right visible light emitter 4b are driven in a time-division manner, and the visible light detector 3 captures the reflected light. When the device is correctly positioned, a beam of light 6b is first sent towards the vicinity of the nasal bone. Due to facial obstruction, some of the light is reflected on the face, and the corresponding reflected signal is received on the visible light detector 3, with a signal strength of v1. Then, another beam of light 6a is sent. Due to the facial structure, this beam of light passes through the ear and is directed backward, with a signal strength of v2. When the difference between v1 and v2 reaches a certain amount, the currently tested eye 8 can be identified as the left eye. The specific difference can be set according to model training or by the user.

[0077] Optionally, in one possible implementation of this application, the angle of the emitted beam is a fixed angle. That is, the emission angle between the transmitter 4a / 4b and the vertical plane is 35-75°. It should be noted that the emission angle is only described exemplarily in this application, and this application does not limit the specific emission angle of the first signal and the second signal.

[0078] S203, if the first signal strength is less than the second signal strength and the absolute value of the difference between the two is greater than the second preset threshold, determine that the currently measured eye is the right eye.

[0079] Optionally, in one possible implementation of this application, when the intraocular pressure measuring device is aimed at the eyeball, the transmitter emits a second signal and a first signal, which are directed at opposite sides of the subject at certain angles. The first signal passes through the cheek and illuminates the back of the face, then reflects back and is received by a visible light detector. The second signal is reflected due to the obstruction of the face and is also received by the visible light detector. Because the second signal is obstructed by the face, it is reflected as it passes through the face, resulting in a second reflected signal. The first signal, however, is not obstructed by the face and is emitted directly from the side of the face. Therefore, it is obstructed by other objects in the environment and reflects back as a first reflected signal. However, since the second reflected signal reflects directly from the face, its path is shorter, while the first reflected signal reflects from behind the face, requiring a longer path. Consequently, the signal strength of the second reflected signal is greater than that of the first reflected signal, thus confirming that the eye being measured is the right eye.

[0080] It is easy to understand that, due to the different shapes of human faces and heads, the first signal and the second signal may both be emitted from behind the face, or both may be blocked by the face. Therefore, it is necessary to reasonably set a threshold for the difference between the signal strength of the first reflected signal and the second reflected signal in order to determine whether the second signal is blocked by the face and the first signal is emitted from behind the face.

[0081] In these alternative embodiments, by comparing the first signal intensity of the first reflected signal and the second signal intensity of the second reflected signal, it is possible to automatically identify whether the eye currently being measured is the left or right eye, thereby further improving the accuracy and intelligence of left and right eye recognition.

[0082] In one embodiment, prior to step 101 above, the method may further perform the following steps:

[0083] S301, Obtain the ambient light intensity of the environment surrounding the face of the person being tested;

[0084] S302, determine the signal reference strength based on the environmental intensity.

[0085] Optionally, in this embodiment, the ambient light can specifically be the ambient light of the current measurement environment. More specifically, the ambient intensity can be the light intensity of the current ambient light. Then, by analyzing the characteristics of the ambient light, the signal reference intensity is obtained. It should be noted that there may be interference sources in the ambient light, such as cluttered radio waves that interfere with the transmitter's transmission of the first and second signals. Therefore, before determining the signal reference intensity, these interference sources can be filtered to improve the reliability of the signal reference intensity and further improve the accuracy of left and right eye recognition. The method for filtering interference sources can be referred to the description in step 102, which will not be repeated here.

[0086] Optionally, in these alternative embodiments, the obtained signal reference intensity can be used as a reference value for subsequent measurements. This reference value serves two purposes: firstly, it can correct the intensity of the reflected signal received by the visible light detector during normal measurement after the visible light emitter 4a or 4b illuminates the face and reflects the light; secondly, it can adjust the emission intensity of the visible light emitter 4a or 4b in real time according to the characteristics of ambient light, making the increment or decrement of the reflected signal received by the visible light detector tend to stabilize, facilitating stable measurement.

[0087] S303, determine the transmitted signal strengths of the first and second signals based on the signal reference strength;

[0088] S304, transmitting a first signal at a first angle and transmitting a second signal at a second angle, includes:

[0089] A first ray is emitted at a first angle and with a transmission signal intensity, and a second ray is emitted at a second angle and with a transmission signal intensity.

[0090] For example, when the measurement environment is dark, the transmitted signal strength needs to be reduced to ensure that the measurement can be performed correctly and to ensure the stability of the measurement; when the measurement environment is bright, the transmitted signal strength needs to be increased to prevent the ambient light from being too strong, which would lead to inaccurate measurement and further enhance the stability of the measurement.

[0091] Optionally, in this embodiment, to improve the anti-interference capability during detection, pulse width modulation (PWM) can be applied to the signal emitted by the visible light emitter, and the signal can be filtered and demodulated at the receiving end that receives the reflected signal. PWM modulation and demodulation can be implemented through software, hardware, or a combination of both. Throughout the detection process, multiple sets of PWM modulation at different frequencies can be used intermittently to increase stability.

[0092] In one embodiment, step 201 above can be specifically performed as follows:

[0093] S401, the first corrected strength is obtained based on the signal reference strength;

[0094] S402, the received first reflected signal is corrected according to the first correction intensity to obtain the first corrected reflected signal of the first reflected signal;

[0095] S403, based on the first corrected reflection signal, obtain the first signal intensity of the first reflection.

[0096] Optionally, in one possible implementation of this application, when the visible light emitter 4a or 4b illuminates the face and reflects the light off the face, the intensity of the reflected signal received by the visible light detector during normal measurement can be corrected to obtain a signal increment or a signal decrement, thereby making the measurement results more accurate and ensuring the stability of the measurement.

[0097] In one embodiment, step 201 above can be specifically performed as follows:

[0098] S501, the second corrected strength is obtained based on the signal reference strength;

[0099] S502, the received second reflection signal is corrected according to the second correction intensity to obtain the second corrected reflection signal of the second reflection signal;

[0100] S503, based on the second corrected reflected ray, obtain the second signal intensity of the second reflected signal.

[0101] Optionally, in one possible implementation of this application, when the visible light emitter 4a or 4b illuminates the face and reflects the light off the face, the intensity of the reflected signal received by the visible light detector during normal measurement can be corrected to obtain a signal increment or a signal decrement, thereby making the obtained measurement results more accurate and ensuring the stability of the measurement.

[0102] In one embodiment, both the first signal and the second signal are coded signals, and step 101 above includes:

[0103] S601 transmits a first coded signal at a first angle and a second coded signal at a second angle, wherein the first signal includes the first coded signal and the second signal includes the second coded signal.

[0104] Optionally, in one possible implementation of this application, to improve stability during actual measurement, n (n≥2) measurements can be performed. The absolute signal strength is defined as logic "1" and logic "0" of the digital signal. The first and second signals are encoded digitally; for example, the first encoded signal can be encoded as "1" and the second encoded signal can be encoded as "0". It should be noted that the specific values ​​of the encodings can be set according to user needs; this application is only providing an example. It is readily understood that the encoded values ​​of the first and second encoded signals can be the same or different; this application is only providing an example.

[0105] S602, receiving the reflected signal, including:

[0106] The system receives a first reflected coded signal reflected back from a first coded signal and a second reflected coded signal reflected back from a second coded signal. The reflected signals include the first reflected coded signal and the second reflected coded signal.

[0107] In these alternative embodiments, by setting coded signals, the measurement results are made more intuitive, eliminating the need for complex algorithms and saving the cost of left and right eye recognition.

[0108] In one embodiment, step 103 above can specifically be performed as follows:

[0109] S701 acquires the first decoded value of the first reflection-coded signal and the second decoded value of the second reflection-coded signal.

[0110] Optionally, taking the first coded signal as coded "1" and the second coded signal as coded "0" as an example, if the transmitted first coded signal is effectively blocked, then the first decoded value of the reflected first coded signal is 1; if it is not effectively blocked, then it is not 1; the second coded signal follows the same principle. It is easy to understand that this application can obtain the decoded values ​​of the corresponding coded signals by filtering and demodulating the first and second coded signals sequentially.

[0111] S702, determine the first bit error rate of the first reflected coded signal based on the first decoded value and the coded value of the first coded signal;

[0112] S703, determine the second bit error rate of the second reflected coded signal based on the second decoded value and the encoded value of the second coded signal;

[0113] S704, if the first bit error rate is less than the second bit error rate, determines that the currently measured eye is the left eye.

[0114] Optionally, in one possible implementation of this application, taking the first encoded signal as encoded "1" and the second encoded signal as encoded "0" as an example, the error rate is used to identify the eye by means of digital encoding. When the correct recognition rate in one direction is significantly higher than that in the other direction, the other side is the eye that is currently being measured.

[0115] Optionally, in this embodiment of the application, the transmitter transmits 0 and 1 in an encoded manner, and the receiver obtains the corresponding reflected coded signal. The corresponding reflected coded signal is then filtered and demodulated to obtain the decoded value of the corresponding reflected coded signal. If there is a strong obstruction, transmitting 1 will receive 1, and transmitting 0 will receive 0. However, if the obstruction is not an effective obstruction, a bit error rate may occur. Thus, the left and right eyes can be identified by the bit error rate.

[0116] Optionally, in this embodiment, if the second bit error rate is high, it means that the second decoded value of the obtained second reflection encoded signal is not the encoded value of the second encoded signal, that is, the second encoded signal is not effectively blocked, indicating that the second encoded signal is emitted through the side of the face, and the first encoded signal is the encoded signal blocked by the face. Therefore, it can be determined that the eye being measured is the left eye.

[0117] S705, if the first bit error rate is greater than the second bit error rate, determines that the currently measured eye is the right eye.

[0118] Optionally, in this embodiment of the application, if the first bit error rate is high, it means that the first decoded value of the obtained first reflected coded signal is not the coded value of the first coded signal, that is, the first coded signal is not effectively blocked, indicating that the first coded signal is emitted through the side of the face, and the second coded signal is the coded signal blocked by the face. Therefore, it can be determined that the eye being measured is the right eye.

[0119] In these alternative embodiments, by setting coded signals, the measurement results are made more intuitive, eliminating the need for complex algorithms and saving the cost of left and right eye recognition.

[0120] In one embodiment, prior to step 101, the method may further perform the following steps:

[0121] S801, based on a preset human head shape, determine a first angle of the first signal and a second angle of the second signal, so that the first signal is reflected by the human face and the second signal is emitted from the side of the human face, or so that the first signal is emitted from the side of the human face and the second signal is reflected by the human face.

[0122] Optionally, in this embodiment of the application, the head shape training model can be trained according to a training set, which includes multiple human head shape sample images. Through continuous training with the training set, the emission angles of the first signal and the second signal can be obtained, so that the first signal is reflected by the human face and the second signal is emitted from the side of the human face, or so that the first signal is emitted from the side of the human face and the second signal is reflected by the human face.

[0123] In these alternative embodiments, the emission angles of the first and second signals are obtained through model training, such that one of the first and second signals can be obscured by the face, while the other can be emitted from the side of the face. This enables accurate identification of the left and right eyes based on the reflected signals, thereby improving the accuracy of left and right eye recognition.

[0124] Optionally, such as Figure 2 As shown, in one possible implementation of this application, device 1 is placed directly in front of the measured eye 8 and aligned with the center of the cornea of ​​the eye being tested. The distance between probe 5 and the cornea of ​​the eye being tested is maintained at 4-10 mm. When the measurement button 2 is pressed, the measurement probe 5 will hit the center of the measured eye 8 and bounce back. Then, probe 8 bounces back into the device. Then, the visible light detector 3 is activated to calibrate the ambient light as a reference parameter for each test. Then, visible light 6a / 6b with a wavelength of 400-500 nm is emitted in an orderly manner through visible light emitters 4a / 4b with a time interval of 5-30 ms. The visible light detector 3 receives the amount of visible light reflected each time. The left and right positions of the eye being tested are determined by comparing the magnitude of the reflected light from the visible light emitters 4a / 4b with the reflected light from the emitted light 6a / 6b through software settings. In this example, the beam 6a emitted by the visible light emitter 4a passes through the left side of the face almost unobstructed, and the visible light detector 3 obtains signal v1; the beam 6b emitted by the visible light emitter 4b is reflected due to the obstruction of the right side of the face and is obtained as signal v2 by the visible light detector 3. Obviously, v2 is greater than v1, and the eye being measured is determined to be the left eye. The same applies to the right eye. This application will not elaborate further here.

[0125] Figure 3 A schematic diagram of the structure of a left-right eye recognition device provided in another embodiment of this application is shown. For ease of explanation, only the parts related to the embodiments of this application are shown.

[0126] Reference Figure 3 The left and right eye recognition device may include:

[0127] The transmitting module 301 is used to transmit a first signal at a first angle and a second signal at a second angle;

[0128] The receiving module 302 is used to receive reflected signals, which include a first reflected signal and a second reflected signal. The first reflected signal is the signal reflected back from the first signal, and the second reflected signal is the signal reflected back from the second signal.

[0129] The determining module 303 is used to determine whether the currently measured eye is the left eye or the right eye based on the first reflection signal and the second reflection signal. Both the first signal and the second signal are light signals, or both the first signal and the second signal are coded signals, wherein the coded signal is a light signal carrying a code.

[0130] In one embodiment, the left and right eye recognition device may further include:

[0131] The first acquisition module is used to acquire the first signal intensity of the first reflected signal and the second signal intensity of the second reflected signal when both the first signal and the second signal are optical signals.

[0132] The second determining module is used to determine that the currently measured eye is the left eye when the first signal strength is greater than the second signal strength and the absolute value of the difference between the two is greater than the first preset threshold.

[0133] The third determining module is used to determine that the currently measured eye is the right eye when the first signal strength is less than the second signal strength and the absolute value of the difference between the two is greater than a second preset threshold.

[0134] In one embodiment, the left and right eye recognition device may further include:

[0135] The second acquisition module is used to acquire the ambient light intensity of the environment in which the face of the person being tested is located.

[0136] The fourth determination module is used to determine the signal reference strength based on the environmental intensity.

[0137] The fifth determining module is used to determine the transmitted signal strengths of the first signal and the second signal based on the signal reference strength.

[0138] In one embodiment, the left and right eye recognition device may further include:

[0139] The second transmitting module transmits a first signal at a first angle and with a transmission signal strength, and transmits a second signal at a second angle and with a transmission signal strength.

[0140] In one embodiment, the left and right eye recognition device may further include:

[0141] The sixth determining module is used to obtain the first corrected strength based on the signal reference strength;

[0142] The first correction module is used to correct the received first reflection signal according to the first correction intensity to obtain the first corrected reflection signal of the first reflection signal;

[0143] The seventh determining module is used to obtain the first signal strength of the first reflected signal based on the first corrected reflected signal.

[0144] In one embodiment, the left and right eye recognition device may further include:

[0145] The eighth determining module is used to obtain the second corrected strength based on the signal reference strength;

[0146] The second correction module is used to correct the received second reflection signal according to the second correction intensity to obtain the second corrected reflection signal of the second reflection signal;

[0147] The ninth determining module is used to obtain the second signal strength of the second reflected signal based on the second corrected reflected signal.

[0148] In one embodiment, both the first signal and the second signal are coded signals, and the left and right eye recognition device may further include:

[0149] The third transmitting module is used to transmit a first coded signal at a first angle and a second coded signal at a second angle, wherein the first signal includes the first coded signal and the second signal includes the second coded signal;

[0150] In one embodiment, the left and right eye recognition device may further include:

[0151] The second receiving module receives a first reflected coded signal reflected back from the first coded signal and a second reflected coded signal reflected back from the second coded signal. The reflected signals include the first reflected coded signal and the second reflected coded signal.

[0152] In one embodiment, the left and right eye recognition device may further include:

[0153] The third acquisition module acquires the first decoded value of the first reflection-coded signal and the second decoded value of the second reflection-coded signal.

[0154] In one embodiment, the left and right eye recognition device may further include:

[0155] The tenth determining module is used to determine the first bit error rate of the first reflected coded signal based on the first decoded value and the coded value of the first coded signal;

[0156] The eleventh membrane block is used to determine the second bit error rate of the second reflected coded signal based on the second decoded value and the encoded value of the second coded signal.

[0157] The twelfth determination module is used to determine that the currently measured eye is the left eye when the first bit error rate is less than the second bit error rate;

[0158] In one embodiment, the left and right eye recognition device may further include:

[0159] The thirteenth determination module is used to determine that the currently measured eye is the right eye when the first bit error rate is greater than the second bit error rate.

[0160] In one embodiment, the left and right eye recognition device may further include:

[0161] The fourteenth determining module is used to determine the first angle of the first signal and the second angle of the second signal according to the preset human head shape, so that the first signal is reflected by the human face and the second signal is emitted from the side of the human face, or so that the first signal is emitted from the side of the human face and the second signal is reflected by the human face.

[0162] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. They are devices corresponding to the above-mentioned battery thermal runaway early warning method. All implementation methods in the above-mentioned method embodiments are applicable to the embodiments of this device. For details on its specific functions and the technical effects it brings, please refer to the method embodiment section. It will not be repeated here.

[0163] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0164] Figure 4 A schematic diagram of the hardware structure of the electronic device provided in an embodiment of this application is shown.

[0165] The device may include a processor 401 and a memory 402 storing program instructions.

[0166] When processor 401 executes the program, it implements the steps in any of the above method embodiments.

[0167] For example, the program can be divided into one or more modules / units, one or more of which are stored in memory 402 and executed by processor 401 to complete this application. The one or more modules / units can be a series of program instruction segments capable of performing a specific function, which describe the execution process of the program in the device.

[0168] Specifically, the processor 401 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0169] Memory 402 may include mass storage for data or instructions. For example, and not limitingly, memory 402 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 402 may include removable or non-removable (or fixed) media. Where appropriate, memory 402 may be internal or external to the integrated gateway disaster recovery device. In a particular embodiment, memory 402 is non-volatile solid-state memory.

[0170] Memory may include read-only memory (ROM), random access memory (RAM), disk storage media devices, optical storage media devices, flash memory devices, and electrical, optical, or other physical / tangible memory storage devices. Therefore, typically, memory includes one or more tangible (non-transitory) readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the methods according to one aspect of this disclosure.

[0171] The processor 401 implements any of the methods described above by reading and executing program instructions stored in the memory 402.

[0172] In one example, the electronic device may also include a communication interface 403 and a bus 410. The processor 401, memory 402, and communication interface 403 are connected via the bus 410 and communicate with each other.

[0173] The communication interface 403 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application.

[0174] Bus 410 includes hardware, software, or both, that couples components of an online data traffic metering device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 410 may include one or more buses. Although specific buses are described and illustrated in embodiments of this application, any suitable bus or interconnect is contemplated herein.

[0175] Furthermore, in conjunction with the methods in the above embodiments, this application embodiment can provide a storage medium for implementation. This storage medium stores program instructions; when these program instructions are executed by a processor, they implement any of the methods in the above embodiments.

[0176] This application also provides a chip, which includes a processor and a communication interface. The communication interface and the processor are coupled. The processor is used to run programs or instructions to implement the various processes of the above method embodiments and achieve the same technical effect. To avoid repetition, it will not be described again here.

[0177] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0178] This application provides a computer program product that is stored in a storage medium and executed by at least one processor to implement the various processes of the above method embodiments and achieve the same technical effects. To avoid repetition, further details are omitted here.

[0179] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0180] The functional modules shown in the above block diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. Programs or code segments can be stored on machine-readable media or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable media" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer grids such as the Internet, intranets, etc.

[0181] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0182] The aspects of this disclosure have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and program products according to embodiments of this disclosure. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to create a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by special-purpose hardware performing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0183] The above are merely specific embodiments of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. A left and right eye recognition method characterized by comprising: The method includes: A first coded signal is emitted at a first angle, and a second coded signal is emitted at a second angle, wherein the first coded signal and the second coded signal are optical signals carrying codes; Receive the first reflected coded signal reflected back from the first coded signal, and the second reflected coded signal reflected back from the second coded signal; Obtain the first decoded value of the first reflection-coded signal and the second decoded value of the second reflection-coded signal; Based on the first decoded value and the encoded value of the first encoded signal, determine the first bit error rate of the first reflected coded signal; Based on the second decoded value and the encoded value of the second encoded signal, determine the second bit error rate of the second reflected encoded signal; If the first bit error rate is less than the second bit error rate, the eye being measured is determined to be the left eye; If the first bit error rate is greater than the second bit error rate, the eye being measured is determined to be the right eye.

2. The method of claim 1, wherein, Before transmitting the first coded signal at a first angle and the second coded signal at a second angle, the method further includes: Based on a preset human head shape, the first angle of the first encoded signal and the second angle of the second encoded signal are determined, so that the first encoded signal is reflected by the human face and the second encoded signal is emitted from the side of the human face, or so that the first encoded signal is emitted from the side of the human face and the second encoded signal is reflected by the human face.

3. A left and right eye recognizing apparatus applied to a first device, characterized by, The device includes: The third transmitting module is used to transmit a first coded signal at a first angle and a second coded signal at a second angle, wherein the first coded signal and the second coded signal are optical signals carrying codes; The second receiving module is configured to receive a first reflected coded signal reflected back from the first coded signal, and a second reflected coded signal reflected back from the second coded signal; The third acquisition module is used to acquire the first decoded value of the first reflection-coded signal and the second decoded value of the second reflection-coded signal; The tenth determining module is used to determine the first bit error rate of the first reflected coded signal based on the first decoded value and the encoded value of the first coded signal; The eleventh determination is a membrane block used to determine the second bit error rate of the second reflected coded signal based on the second decoded value and the encoded value of the second coded signal; The twelfth determining module is used to determine that the currently measured eye is the left eye when the first bit error rate is less than the second bit error rate; The thirteenth determination module is used to determine that the currently measured eye is the right eye when the first bit error rate is greater than the second bit error rate.

4. An electronic device, comprising: The device includes: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, it implements the left and right eye recognition method as described in any one of claims 1 or 2.

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