21 results about "Eye height" patented technology

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 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).

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.

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.

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.

The utility model discloses a lamp inspection appearance for detecting visible foreign matter in sodium hyaluronate gel, including the box of opening towards the front side, the box inside upper portion is equipped with the lamp stand, the light source subassembly is installed on the lamp stand, is equipped with the lifting mechanism for adjusting the height of lamp stand in the box inside on the horizontal top plate of the box top portion. The utility model discloses a lamp inspection appearance for detecting visible foreign matter in sodium hyaluronate gel, when using, through the lifting mechanism can flexibly adjust the height of light source subassembly in the box inside to make light source subassembly and the eye height of detection personnel are adapted, help to improve the precision and quickness of detection personnel observation the visible foreign matter in the substance of placing on the placing table, greatly improve the detection efficiency and detection quality, and help to alleviate the eye fatigue feeling of detection personnel easily due to the height position of light source subassembly is not suitable.

The invention discloses an intelligent test method and system for a high-speed network communication port, and belongs to the technical field of communication. The method comprises the following steps: carrying out bidirectional pseudo-random bit sequence test between two directly connected processing units, respectively calculating bit error rates in two directions, and preliminarily positioning that a fault is located at a transmitting end, a receiving end or a cable according to the bit error rates; performing eye pattern sampling on the test signal at a receiving end, extracting eye height, eye width, jitter and signal-to-noise ratio characteristic parameters, and evaluating a physical medium state; and performing grading evaluation on link health by integrating the bit error rate and the eye pattern parameters, and triggering a parameter self-adaptive adjustment or link recovery strategy according to an evaluation result. The system comprises a collaborative generation module, an error code detection module, a feature extraction module, a health assessment module and a self-adaptive regulation module. According to the invention, embedded and end-to-end link intelligent test and diagnosis can be realized without an external instrument, and the system has the capabilities of accurate fault positioning and closed-loop self-optimization.

The application discloses a digital eye diagram test method, device, equipment and storage medium, and relates to the technical field of testing. The digital eye diagram test method comprises the following steps: acquiring bus data of a bus corresponding to a to-be-tested memory particle in real time through a capture IC to obtain data signals of multiple channels; generating a digital eye diagram based on the data signals, and acquiring an eye width and an eye height corresponding to the digital eye diagram; 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 multiple registers in a memory corresponding memory controller based on the eye width and the eye height, acquiring bus data through the capture IC to obtain data signals of multiple channels, generating a digital eye diagram according to the data signals of the multiple channels, and automatically adjusting the parameters of the registers according to the eye width and the eye height corresponding to the digital eye diagram to increase the eye height and the eye width of the digital eye diagram, so that the whole process from eye diagram measurement to register adjustment is automatically realized, and the memory test efficiency is improved.

The present application belongs to the technical field of strabismus correction equipment. In view of the poor strabismus training effect of the current strabismus correction equipment and the problem that it cannot be applied to patients with different eye heights, the present application provides an eye strabismus correction equipment, which comprises a training table, a strabismus correction mechanism, a position adjusting mechanism and a head correction mechanism. The position adjusting mechanism is connected with the strabismus correction mechanism, and the position adjusting mechanism and the head correction mechanism are both arranged on the training table. The height and horizontal position of the strabismus correction mechanism can be adjusted by the position adjusting mechanism, so that it is suitable for patients with different eye heights, and the patient can be trained to follow the view, and the head correction mechanism can automatically correct the patient's head when the patient is training strabismus, preventing the patient's head from deviating during strabismus training and ensuring the strabismus training effect.

A method for determining a signal quality includes: receiving a signal from a circuit device; generating multiple eye diagrams according to the signal; determining whether each eye diagram is normal according to a basic index to generate a first determination result, wherein the basic index comprises an eye height and an eye width; in response to the first determination result indicating that each diagram is normal, determining whether each eye diagram is normal according to an advanced index to generate a second determination result, wherein the advanced index comprises at least one of a combination of an area and a contour length, a combination of a density and a gradient, and a combination of multiple slopes; and in response to the second determination result indicating that each eye diagram is normal, determining the signal quality of the signal according to each of the multiple eye diagrams.

A software system and method are disclosed for characterizing multi-level Pulse Amplitude Modulation (PAMn) eye diagrams using integrated image processing, curve fitting, and statistical analysis. The system processes a photograph or digital file of a PAMn eye diagram, typically captured from a digital sampling oscilloscope, and converts it into a one unit interval (1UI) PAMn pattern. In this pattern, horizontal lanes and transition lane center curves are sampled and fitted to extract the mean and width of each lane. Two 1UI PAMn patterns are then combined to reconstruct a two unit interval (2UI) PAMn eye diagram with statistical features. The system calculates eye heights and eye widths for each eye based on the extracted lane statistics parameters and enables mask testing by aligning a predefined test mask with the center of each eye region to evaluate compliance.