47 results about "Eye height" patented technology

The invention discloses an automobile rearview mirror angle automatic adjusting and angle metering method and device, and belongs to the field of automobile rearview mirror automatic adjusting.The method comprises the following steps that coordinates of the head position and the eye position of a driver are obtained, and the eye height of the driver is obtained through the eye movement tracking technology; calculating an optimal reference angle of the rearview mirror according to the height of the eye position, and taking the optimal reference angle as a reference angle theta base of the rearview mirror; the head action of a driver and the dynamic state of a vehicle are sensed in real time through sensor data, data of various sensors are integrated through a fusion algorithm, the fused head angle of the driver, vehicle body posture information and adjustment gain factors are obtained, and the angle of a rearview mirror is dynamically adjusted according to the information. And the driver can always obtain the optimal view angle through closed-loop feedback and a self-calibration mechanism. By means of a personalized adjusting mode, it is ensured that a driver can always see the road condition behind at the most comfortable position.

The invention discloses a seat adjusting method and a related device, and relates to the technical field of seat adjustment, and the method comprises the following steps: obtaining a head image and a leg image of a driver; determining eyebrow or eye height according to the head image, and obtaining leg state information according to the leg image; based on a pre-constructed seat position prediction model, on the basis of eyebrow or eye height and leg state information, a seat position matched with a driver is predicted, and the seat position prediction model is constructed based on sample data of a plurality of personnel samples with different heights; the sample data of any person sample comprises a seat position matched with the person sample and a head image and a leg image when the person sample sits on a seat at the matched seat position; and the seat is adjusted to the seat position matched with the driver. According to the seat adjusting method, the seat can be automatically adjusted to the seat position matched with the driver, manual operation of a user is not needed, the adjusting convenience is greatly improved, and the user experience is good.

The invention relates to an LPDDR4X simulation method and system based on a statistics theory. The method comprises the steps that a single-byte BYTE time domain simulation platform used for simulating LPDDR4X signal transmission characteristics is constructed; routing delay analysis is carried out on packaging and PCB channels corresponding to each signal in the single-byte BYTE, time sequence inconsistency in signal transmission is captured, and then the influence of phase crosstalk noise on eye height is captured; carrying out pulse response analysis on the signal, and quantifying ISI noise basic data caused by packaging and a PCB channel; independently analyzing the influence of crosstalk noise on each signal to obtain direct influence data of noise on eye height; processing ISI noise basic data and direct influence data by utilizing an MATLAB script, and extracting a main cursor voltage value, an ISI noise amplitude and crosstalk noise; according to the main cursor voltage value, the ISI noise amplitude and the crosstalk noise, the final eye pattern eye height is calculated. According to the method, the problem that a traditional simulation method is insufficient in eye pattern height evaluation is solved, and more accurate and efficient simulation support can be provided for high-speed low-power-consumption DDR design.

The invention relates to a method for correcting a loss index through an eye diagram ratio. The method comprises the following steps: acquiring the minimum voltage amplitude of an input end and the minimum voltage amplitude of an output end of a target link; according to the minimum voltage amplitude of the input end and the minimum voltage amplitude of the output end, an initial loss value is calculated through a traditional loss formula; establishing a transmitting-receiving model to simulate and obtain the actual eye pattern height of a receiving end; calculating a proportionality coefficient of the actual eye height and the expected eye height; and correcting the initial loss value according to a proportionality coefficient to obtain a corrected loss value. According to the method, the initial loss value is calculated by using the traditional loss formula, passive simulation is performed on the target link to obtain the actual eye pattern height of the receiving end, and then the initial loss value is corrected according to the proportionality coefficient of the actual eye height and the expected eye height, so that the actual attenuation in the signal transmission process is considered; an indefinite loss index can be converted into an accurate and available loss value, and a reliable basis is provided for passive simulation.

The invention provides an eye pattern search space optimization method and system and a computer storage medium. The eye pattern search space optimization method comprises the steps of presetting an initial search space of a to-be-optimized circuit parameter; constructing an initial simulation case combination according to the initial search space; generating a plurality of simulation netlists and performing simulation to obtain corresponding eye pattern performance response values; establishing a second-order polynomial meta model according to the eye pattern performance response value and the circuit parameters; calculating an eye diagram performance response maximum value and a circuit parameter value corresponding to the eye diagram performance response maximum value; presetting a scaling coefficient, and updating the search space according to the eye pattern performance response maximum value and the corresponding circuit parameter value; and updating the simulation case combination according to the updated search space to carry out iterative calculation on the search space, and outputting an optimal search space. According to the scheme, the search range can be automatically focused on the potential optimal region, and the global optimal parameter combination for optimizing the eye height and eye width performance is accurately positioned with the minimum simulation times, so that the signal integrity judgment of the high-speed serial link is facilitated.

The invention discloses a navigation guide element adjusting method and device and a processor. When the method provided by the embodiment of the invention is executed, light machine projection parameters of head-up display projection equipment in a target vehicle in a guiding state and the eye height of a driver are firstly collected; then, a visual perception area is determined based on light machine projection parameters and the eye height of a driver, so that a dynamic perception area is delimited; and finally, acquiring the number of opaque pixels (namely, opaque pixel values) and the total number of pixels in the standard rectangle and the total number of opaque pixels in the whole dynamic sensing area, and dynamically adjusting the line width of a navigation guide element projected by the head-up display projection equipment according to the indexes. By adjusting the line width of the navigation element, the coverage area of the opaque pixel can be effectively controlled, and excessive shielding of important information is avoided, so that the driving safety is improved.

The application discloses an image processing method for displaying a back picture in real time, comprising the following steps: after a camera observes a human body, collecting and processing position information of a user relative to a display mirror, and outputting a distance of the human body from a screen; calling a camera to dynamically extract a back feature value of the human body by using the distance of the human body from the screen, fitting an eye height of the user, so as to determine a specific position of the camera; obtaining back image data of the user by using the camera, filling after human back contour recognition by using a human back recognition algorithm, obtaining processed picture information and transmitting the processed picture information to the display mirror, and displaying the processed back information picture on the screen. The application further discloses an image processing system for displaying a back picture in real time. The application solves the problem that a user is difficult to obtain a back picture in real time when facing the intelligent mirror group by using simple equipment combination and use, and has important production value and application space.

According to one embodiment, a method, computer system, and computer program product for adjusting output swing voltage of a Peripheral Component Interconnect Express (PCIe) system is provided. The present invention may include training a neural network, recording, in real time, lane input data of PCIe lanes comprising a PCIe link, generating eye diagrams representing the PCIe lanes based on the lane input data, predicting, by the trained neural network, predicted eye heights for the PCIe lanes, and adjusting a current output swing voltage of one or more PCIe lanes based on the predicted eye heights.

The invention belongs to the technical field of high-speed data testing, and discloses a high-speed signal eye pattern testing method and system based on automatic testing equipment, and the method comprises the steps that a high-speed signal configuration vector is divided into a configuration section and an action section, the configuration section is used for rapidly configuring a testing environment, and the action section is used for controlling a testing action; in the action section, constructing a virtual clock as a reference Trigger signal, and synchronizing the virtual clock and a high-speed signal to be detected to the same sequence group; performing waveform capture on the synchronized high-speed signal to be detected, and generating a two-dimensional array formed by sampling time and level values; the two-dimensional array is processed by a difference peak-valley segmentation method, the eye height, the rising / falling time and the jitter are measured based on a processing result, automatic control, measurement and output of test data can be realized through testing of automatic test equipment, data analysis and processing are facilitated, the test efficiency is improved, and interference of human factors is avoided.

The invention discloses a public work mechanical vehicle operation and driver behavior monitoring system and method, and aims at solving the problem that in the operation process of a public work mechanical vehicle, the eye closing time is prolonged and the blinking frequency is reduced due to fatigue of a driver, and consequently misoperation is caused. A driver face video stream is collected; the embedded edge computing terminal is connected with the vehicle-mounted camera, performs eye key point detection on each frame of image and calculates an eye height ratio to obtain a fatigue trigger signal, and encapsulates a video stream and vehicle operation data into an event packet; the vehicle-mounted loudspeaker is connected with the embedded edge computing terminal and outputs voice warning in a cab according to the fatigue triggering signal; and the wireless communication module uploads the event packet to a ground server, and automatically enters a breakpoint resuming mode when the signal is interrupted.

The application discloses a DDR reference voltage parameter adjustment method, system, device and storage medium, the method comprises the following steps: obtaining a digital eye diagram of a read direction of a DDR memory and a corresponding eye height amplitude distribution; excluding invalid sampling points caused by register range limitation from sampling points of the digital eye diagram to obtain a set of valid sampling points; determining a target optimization region according to the eye height amplitude distribution of the set of valid sampling points; optimizing a read direction Vref value of the target optimization region, and synchronously adjusting a write direction Vref value and a terminal resistance parameter; compiling the read direction Vref value, the write direction Vref value and the terminal resistance parameter after adjustment into configuration code to write into a test program of a DDR memory controller; running the test program and obtaining an optimized digital eye diagram until the eye height of the optimized digital eye diagram meets a preset tolerance; and the application can avoid interference of invalid sampling points caused by register range limitation, and realize accurate determination of an optimal Vref parameter combination.

The invention provides a vehicle adjustment control method and system, computer equipment and a storage medium, and the method comprises the steps: obtaining an internal image of a vehicle, and carrying out the detection and recognition of the internal image of the vehicle, and obtaining a first body parameter of a target person; the sitting posture eye height of the target person is calculated based on the two-eye center coordinates, the seat height and the seat backrest angle of the target person at the current moment; according to the sitting posture eye height, the gender and the age of the target person, performing fitting to obtain a second body parameter of the target person; and target parts in the vehicle are adjusted and controlled according to the second body parameters, wherein the target parts comprise at least one of a seat, a steering wheel and a rearview mirror. For the adjustment of the seat, the steering wheel, the rearview mirror and the like of the vehicle, a user does not need to set or register in advance, personalized adjustment can be automatically provided for any user, and the non-inductive interaction experience of the intelligent cabin is truly realized, so that automatic adjustment can be completed when the user gets on the vehicle for the first time, and the experience of the user on the intelligent cabin is remarkably improved.

The invention discloses a DDR reference voltage parameter adjusting method, system and device and a storage medium. The method comprises the steps that a digital eye pattern in the DDR memory reading direction and corresponding eye height amplitude distribution are obtained; eliminating invalid sampling points due to the range limitation of the register from the sampling points of the digital eye diagram to obtain an effective sampling point set; determining a target optimization area according to the eye height amplitude distribution of the effective sampling point set; optimizing a read direction Vref level value of the target optimization area, and synchronously adjusting a write direction Vref level value and a terminal resistance parameter; compiling the read direction Vref value, the write direction Vref value and the terminal resistance parameter which are adjusted and determined into configuration codes, and writing the configuration codes into a test program of the DDR memory controller; running the test program and obtaining the optimized digital eye diagram until the eye height of the optimized digital eye diagram meets a preset tolerance; according to the method and the device, ineffective sampling point interference caused by register range limitation can be avoided, and accurate determination of the optimal Vref parameter combination is realized.

The application provides an eye diagram search space optimization method, system and computer storage medium, comprising: presetting an initial search space of a circuit parameter to be optimized; constructing an initial simulation case combination according to the initial search space; generating several simulation net tables and performing simulation to obtain corresponding eye diagram performance response values; establishing a second-order polynomial meta-model according to the eye diagram performance response values and the circuit parameter; calculating an eye diagram performance response maximum value and a corresponding circuit parameter value; presetting a scaling coefficient and updating the search space according to the eye diagram performance response maximum value and the corresponding circuit parameter value; updating the simulation case combination according to the updated search space to perform iterative calculation of the search space, and outputting an optimal search space. The scheme can automatically focus the search range on a potential optimal area, accurately locate a global optimal parameter combination that optimizes the eye height and eye width performance with the least simulation times, and is further beneficial to signal integrity judgment of a high-speed serial link.

A control apparatus includes a display having a display area for displaying images, an imager configured to capture an image of a plurality of users around the display area, and a controller configured to raise or lower a position of the display area to a height corresponding to a representative eye height of the plurality of users based on the image captured by the imager.

The invention relates to an ophthalmic surgical system (1) for treating an eye (2), and to a method. The ophthalmic surgical system (1) comprises a pressure sensor (12) which determines pressure information describing at least a pressure exerted by a treatment fluid on the pressure sensor (12) and, in the event of a handpiece (9) or infusion element at least partially inserted into the eye (2), a pressure exerted on the pressure sensor (12) by an intraocular pressure of the eye (2). A time curve (30) of the pressure information is determined and analysed to ascertain whether a pressure information increase (31) can be detected in which the pressure information increases in stages from a first pressure information (32) to a second pressure information (33), wherein a pressure information difference (34) between the two items of pressure information (32, 33) is greater than a specified minimum value (36). If the pressure information increase (31) has been detected, patient eye height information (38) and / or intraocular pressure information (37) is determined and provided by applying an evaluation algorithm (42) to the first pressure information (32) and / or the second pressure information (33).

Embodiments of the present application disclose a signal processing method, apparatus, electronic device, and storage medium, relating to the field of electronic technologies. Among them, the method includes: obtaining a pulse signal output according to an input signal; extracting a plurality of target post-cursor signals from the pulse signal based on a preset rule; obtaining the value of each target post-cursor signal among the plurality of target post-cursor signals; obtaining a comprehensive judgment value of a multi-bit post-cursor signal based on the plurality of target post-cursor signals and the value of each target post-cursor signal; adjusting a linear continuous-time equalizer based on the comprehensive judgment value of the multi-bit post-cursor signal, and processing the input signal through the adjusted linear continuous-time equalizer. The present application can improve the phenomenon that the CTLE system is in an under-equalized state, with a low eye height and unsatisfactory performance after completing the adaptive process.

The application provides an adaptive continuous-time linear equalizer and a control method, the adaptive continuous-time linear equalizer comprising: a signal adjusting module, the signal adjusting module being configured with an adjustable resistance and an adjustable capacitance; the signal adjusting module being configured to: receive a data signal; perform high-frequency gain processing on the data signal according to a gain coefficient; an eye diagram calculation module, the eye diagram calculation module being configured to: obtain eye height data and eye width data according to the data signal; an adaptive module, the adaptive module being configured to: obtain an equalization coefficient according to the eye height data and the eye width data; the equalization coefficient being a resistance adjustment value of the adjustable resistance and a capacitance adjustment value of the adjustable capacitance; the signal adjusting module being controlled to operate according to the equalization coefficient; when the signal adjusting module operates according to the equalization coefficient, the data signal reaches a target equalization effect, so as to solve the problems that a current linear equalizer has a relatively long signal equalization processing process and the quality of the processed signal is not located at a maximum value.

The invention relates to vehicle lamplight, and discloses a community range-based dipped headlight control method, which comprises the following steps of: in response to identification that a vehicle is located in a community range, identifying whether a target object exists in a dipped headlight irradiation range of the vehicle or not, and enabling the eye height of the target object to be less than or equal to the irradiation height of the dipped headlight of the vehicle; and reducing the irradiation height of the dipped headlight of the vehicle in response to the target object existing in the irradiation range of the dipped headlight of the vehicle. According to the low beam control method based on the community range, low beam adjustment can be conducted in the community, hard light damage to eyes of children in the community is avoided, meanwhile, low beam control computing power outside the community range can be released, and the situation that driving danger is caused by frequent low beam adjustment outside the community range is avoided.

The invention discloses a digital eye diagram testing method, device and equipment and a storage medium, and relates to the technical field of testing, and the digital eye diagram testing method comprises the steps that bus data of a bus corresponding to a to-be-tested memory particle is captured in real time through a capture IC, and data signals of multiple channels are obtained; generating a digital eye pattern based on the data signal, and obtaining an eye width and an eye height corresponding to the digital eye pattern; if the eye width is smaller than a preset eye width or the eye height is smaller than a preset eye height, adjusting register parameters of a plurality of registers in a memory controller corresponding to the memory based on the eye width and the eye height, capturing bus data through a capturing IC to obtain data signals of a plurality of channels, and generating a digital eye pattern according to the data signals of the plurality of channels, and the parameters of the register are automatically adjusted according to the eye width and the eye height corresponding to the digital eye diagram, so that the eye height and the eye width of the digital eye diagram are increased, the whole-process automation from eye diagram measurement to register adjustment is realized, and the memory testing efficiency is improved.

According to one embodiment, a method, computer system, and computer program product for adjusting output swing voltage of a Peripheral Component Interconnect Express (PCIe) system is provided. The present invention may include training a neural network, recording, in real time, lane input data of PCIe lanes comprising a PCIe link, generating eye diagrams representing the PCIe lanes based on the lane input data, predicting, by the trained neural network, predicted eye heights for the PCIe lanes, and adjusting a current output swing voltage of one or more PCIe lanes based on the predicted eye heights.

The invention provides a self-adaptive MIPI eye pattern pressure test method and system and a storage medium, and the method comprises the steps: obtaining a test specification and a product specification to set a qualified threshold set, a limit threshold set and initial pressure information, coupling a pressure signal to a to-be-tested MIPI interface, and synchronously collecting eye pattern parameters such as eye height, eye width and jitter; real-time eye pattern parameters are compared with a qualified threshold set, pressure information is updated according to a pressure enhancement strategy, and testing is carried out again, so that pressure is gradually enhanced; if the parameters are not superior to the qualified threshold values, further comparing the parameters with the limit threshold value set, performing fine adjustment and iterative testing through a pressure fine adjustment strategy, and stopping testing and automatically generating a report until the parameters exceed the limit threshold values; therefore, the performance boundary of the MIPI interface under the composite pressure is automatically and accurately positioned, and the test intelligence level and the reliability evaluation efficiency are improved.

In a method and system for determining a preferred location for a peep sight on a compound bow, an eye height measurement is requested from or otherwise obtained from a user, and measurements of the compound bow are requested or retrieved. From such measurements, a preferred location for a peep sight can be determined.

This invention belongs to the field of high-speed data testing technology and discloses a method and system for testing high-speed signal eye diagrams based on automated testing equipment. The method includes: dividing the high-speed signal configuration vector into a configuration segment and an action segment. The configuration segment is used for quickly configuring the test environment, and the action segment is used for controlling test actions. In the action segment, a virtual clock is constructed as a reference trigger signal, and the virtual clock is synchronized with the high-speed signal under test to the same sequence group. The synchronized high-speed signal under test is waveform captured to generate a two-dimensional array composed of sampling time and level value. The two-dimensional array is processed using a differential peak-valley segmentation method, and eye height, rise / fall time, and jitter are measured based on the processing results. Automated testing equipment enables automated control, measurement, and output of test data, facilitating data analysis and processing, improving testing efficiency, and avoiding human interference.

The invention discloses a bias method and device for verifying a signal eye height amplitude margin and a related assembly, and the method comprises the steps: obtaining a batch of samples to be detected, and determining an eye pattern template and a reference voltage corresponding to a received signal; for each to-be-tested sample, the reference voltage is pulled upwards and downwards until the received signal is abnormal, and an upper limit voltage when the received signal is abnormal after the reference voltage is pulled upwards and a lower limit voltage when the received signal is abnormal after the reference voltage is pulled downwards are recorded; screening out the minimum upper limit voltage from all the upper limit voltages, and screening out the maximum lower limit voltage from all the lower limit voltages; calculating a difference value between the minimum upper limit voltage and the maximum lower limit voltage, and comparing the difference value with the eye height range of the eye pattern template; and if the difference value is greater than the eye height range of the eye pattern template, judging that the high-speed signal eye height amplitude margin of the to-be-detected sample meets the design requirement. According to the method, the consistency deviation of the materials can be tolerated after the products are delivered on a large scale, and the robustness is better.

The invention provides an intelligent glasses frame recommendation method and system based on multi-dimensional face data recognition, and the method comprises the steps: obtaining 3D face data obtained through 3D scanning of the face of a user, recognizing face key points from the 3D face data through a first pre-training AI model, carrying out the fitting through employing the recognized face key points as control points, and carrying out the recognition of the face key points; a 3D face coding point cloud carrying full face digital semantics is obtained; calling a second pre-training AI model to extract face features including skin color, age, face shape and / or hair style from the 3D face coding point cloud, and quantitatively calculating face features including face width and / or eyebrow and eye height dimensions based on the 3D face data; and calculating fitness scores of the multi-dimensional face features under the multi-dimensional mirror frame feature combinations by using a preset dynamic classification score matrix, and taking the mirror frame feature combination with the highest fitness score as a mirror frame style recommended to the user.

An integrated circuit (IC), a testing system, and an operating method are provided. The IC includes a receiver circuit and a processing circuit. The receiver circuit processes a communication signal based on a setting threshold voltage and multiple current operating parameters. The processing circuit obtains at least one current parameter among the current operating parameters. When a host inquires the IC about a receiver margin for the communication signal, the processing circuit obtains eye height data corresponding to the current parameter from a parameter-to-eye height mapping relationship, and returns the receiver margin corresponding to the eye height data to the host. A testing device of the testing system calculates the eye height data based on a setting testing threshold voltage and a target parameter corresponding to a test signal, and generates the parameter-to-eye height mapping relationship based on the target parameter and the eye height data.

The invention provides a self-adaptive continuous time linear equalizer and a control method, and the self-adaptive continuous time linear equalizer comprises a signal adjustment module which is provided with an adjustable resistor and an adjustable capacitor; the signal conditioning module is configured to: receive a data signal; performing high-frequency gain processing on the data signal according to the gain coefficient; the eye pattern calculation module is configured to obtain eye height data and eye width data according to the data signal; the adaptive module is configured to obtain a balance coefficient according to the eye height data and the eye width data; the equalization coefficient is a resistance adjusting value of the adjustable resistor and a capacitance adjusting value of the adjustable capacitor; controlling the signal adjusting module to operate according to the equalization coefficient; and when the signal adjusting module operates according to the equalization coefficient, the data signal achieves the target equalization effect, so that the problems that the signal equalization processing process of the existing linear equalizer is relatively long, and the quality of the processed signal is not at the maximum value are solved.

The invention provides a signal processing method and device of a chip and electronic equipment. The method relates to the technical field of signal processing, and comprises the following steps: sampling a first signal received by a first chip to obtain a second signal; the first signal is a signal sent to the first chip by the second chip through the processor interconnection bus; the second chip and the first chip are arranged on the same mainboard, and the first chip is different from the second chip; performing signal superposition on the second signal to obtain simulated eye pattern data of the second signal; determining a critical value of the eye height of the second signal and a critical value of the eye width of the second signal by adjusting the position of a central point included in the simulated eye pattern data; determining the eye height and the eye width of the second signal according to the critical value of the eye height of the second signal and the critical value of the eye width of the second signal; and determining the signal quality of the first signal based on the eye height and the eye width of the second signal. According to the invention, the signal quality of the signal transmitted between the chips can be quantitatively evaluated, and the signal quality can be accurately evaluated.