70 results about "Eye detection" patented technology

The invention provides an inflatable package air tightness detection device and detection method, and relates to the technical field of package detection. A top cover is arranged at the top of the detection box, a pressure sensor is arranged at the bottom of the top cover, a negative pressure pipe is arranged on the detection box and communicated with a negative pressure system, an outer cover is arranged in the detection box and connected with the top cover, a plurality of detection covers are connected to the inner side of the outer cover, and the detection covers are sequentially and tightly connected into a whole. All the detection covers are connected to form an enclosed shape which is matched with the side part and the top of the detected inflatable package, the detection covers and the top of the outer cover are communicated with a detection pipe, the top end of the detection pipe is open, the detection pipe is provided with a detection sleeve, and the detection sleeve is provided with a photoelectric detection assembly. According to the invention, whether bubbles pass through an optical signal path or not is detected through photoelectric sensing, manual eye detection is replaced, the bubble detection accuracy is improved, and detection errors are avoided.

The invention relates to the technical field of unmanned aerial vehicle detection, in particular to a civil small unmanned aerial vehicle cat eye detection and countering system which comprises the steps that a cat eye detection module collects cat eye reflection characteristic signals, environment sensing data and unmanned aerial vehicle flight state associated information in an airspace; the threat level evaluation center identifies the type of the unmanned aerial vehicle and the intrusion risk level through an improved random forest model, and measures the real-time airspace position; the dynamic trajectory modeling module constructs a digital twin flight model of the civil small unmanned aerial vehicle, and simulates a flight trajectory and a potential intrusion path by using an intention pre-judgment algorithm; the grading countering unit generates a non-destructive countering strategy according to the intrusion risk grade, the flight path and the potential intrusion path; the man-machine interaction unit constructs a visual airspace monitoring scene, renders a detection result, an intrusion risk level and a countering effect in real time, and carries out man-machine interaction operation. Therefore, the problems of insufficient perception, poor decision collaboration and the like in the prior art are solved.

The invention discloses a lightweight sight line estimation method based on global information fusion, relates to the technical field of computer vision and intelligent driving, and solves the technical problems that an existing sight line estimation model is large in parameter quantity, is not adaptive to a vehicle-mounted multi-mode scene and is insufficient in robustness under a complex working condition. The method comprises the following steps: firstly, acquiring a driver image, an external scene image and vehicle running state data, and acquiring a target image through face and eye detection; based on a global information fusion module fusing CNN and Transform and a Res CBAM module, multi-modal global information features of vehicle state and driving behavior priori are obtained; deep modulation fusion of the local visual features and the global information features is completed through a double-stage fusion module, and finally the sight direction or the gazing area of the driver is output. The method realizes the unification of light weight and high precision of the model, is adaptive to vehicle-mounted complex working conditions, has both robustness and real-time performance, and can be widely applied to a vehicle-mounted driver monitoring system.

This invention relates to a method for ultra-high sensitivity and specific naked-eye detection of trace aromatic compounds. The method utilizes the long afterglow induced by the specific interaction between the analyte and a matrix as the output signal to achieve naked-eye detection of the analyte. The aromatic compounds are aromatic pollutants and aromatic organic metabolites. This invention utilizes the organic long afterglow induced by mixing the analyte G with the host molecule H through methods such as heating and melting, solvent evaporation and crystallization, matrix adsorption, and paper chromatography as a monitoring signal to achieve ultra-high sensitivity and specific naked-eye detection of trace aromatic compounds. The afterglow induced by the analyte G is highly dependent on the type and content of the analyte and matrix, which gives this detection method extremely high sensitivity and selectivity. The method is simple to operate, rapid, visible to the naked eye, requires inexpensive and readily available materials, and provides stable results.

An Artificial Intelligence Gaze Interface Sensor (AI GIS) system and method for precisely tracking human gaze on a digital or projected view plane without head-mounted hardware. A context camera detects a user's face and matches it against stored biometric profiles using AI facial recognition, automatically loading personalized eye geometry, inter-pupillary distance and gaze calibration data. A conditional activation controller initializes a second Peregrine Foveal Camera (PFC), modeled after the dual-fovea retina of the Falco peregrinus, only upon confirmed eye detection. An AI algorithm triggers visual effects, hidden content, animations, gaze-based engagements and semantically mapped audio on the digital or projected plane based on gaze coordinate outputs, from a dedicated computational pipeline, correlated to the digital or projected plane. This invention serves as the sensing layer for U.S. application Ser. No. 18 / 395,290.

1. Name of the designed product: visual quality analyzer. 2. Use of the designed product: for eye detection. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

Systems and methods of detecting pupillary positions on a head of a subject are described. While a camera and a light source are positioned in front of the head of the subject, the camera is caused to capture image data representative of a frontal portion of the head of the subject. From the image data, a face of the subject is detected. Up to two eyes are identified from the detected face. A reflection of the light source on each identified eye is detected. A pupillary position of each identified eye is estimated based on a position of the detected light source reflection on the identified eye. One or more of interpupillary distance, left pupil distance, and right pupil distance may be determined from the estimated pupillary positions.

This invention relates to the field of power line inspection equipment technology, and discloses a power line insulator defect detection device based on binocular UAV ensemble, comprising: a UAV ensemble execution module, a binocular vision inspection module, an ensemble collaborative control module, a data processing and defect identification module, a wireless communication module, and a ground monitoring terminal; the UAV ensemble execution module adopts a master-slave ensemble architecture, consisting of one master-controlled UAV and several slave-controlled inspection UAVs forming an inspection ensemble. By employing binocular synchronous imaging technology, it simultaneously acquires two-dimensional appearance and three-dimensional depth information of the insulator, completely solving the problems of single-eye detection lacking depth and prone to false detection and missed detection; moreover, the master-slave ensemble architecture enables multi-machine synchronous collaborative operation, with a wide coverage area, high inspection efficiency, and the ability to complete long-distance line inspections in one go, possessing fault redundancy capability, and significantly improving operational stability and continuity.

The invention discloses an eye movement detection assembly and a head-mounted display device, and belongs to the technical field of electronics. The eye movement detection assembly comprises a first eye detection assembly, a second eye detection assembly and a driver. The first eye detection assembly comprises a first camera and a first LED lamp group, a first signal end of the first camera is electrically connected with an enabling end of the driver, and a first driving end of the driver is electrically connected with the first LED lamp group; the second eye detection assembly comprises a second camera and a second LED lamp set, the first signal end of the second camera is electrically connected with the enabling end of the driver, and the second driving end of the driver is electrically connected with the second LED lamp set. The head-mounted display device comprises the eye movement detection assembly.

The application discloses an ASD child gaze detection method and device, and a hand-eye coordination ability test equipment and method. The gaze detection method comprises the following steps: constructing and training a gaze detection model; collecting video data containing the face of an ASD child and inputting the video data into the trained gaze detection model to determine whether the ASD child gazes at a target; the gaze detection model comprises a spatial feature extraction module, which extracts spatial features of the video data frame by frame and outputs low-level detail features and high-level semantic features; a time feature enhancement module, which enhances the time features of the low-level detail features and the high-level semantic features output by each frame; and a gaze detection result generation module, which uses an SSD detection framework to output an eye detection frame of a current frame, and then uses a memory enhancement process to gather key information from long-term frames and short-term frames to enhance the eye detection frame of the current frame, so as to obtain the position of the eye detection frame of the current frame and a gaze contact classification result. In the test of the application, the tester does not need to wear and participate in calibration of any equipment.

The utility model discloses a multistage optical eye detection circuit with carrier control, comprising a chip U1 used for generating carrier signals with fixed frequency and duty ratio; the pre-stage carrier amplification circuit module is connected with the chip U1 and is used for amplifying a driving carrier signal; the multi-stage infrared emission circuit module is connected with the pre-stage carrier amplification circuit module and is used for simultaneously transmitting the amplified carrier signals in the form of electromagnetic waves through multi-path cascaded infrared emission tubes; and the multi-stage infrared receiving circuit is connected with the chip U1 and is used for receiving infrared signals. According to the utility model, the purpose of detecting the position and the motion state of an object is achieved through the sending and receiving mechanisms of the multi-stage infrared signals, and meanwhile, the circuit is simple to realize and high in stability.

The utility model relates to the technical field of warp knitting machines, and discloses a defective cloth detection device of a warp knitting machine, which comprises a laser broken yarn monitoring device controlled by a warp knitting machine control cabinet and a light auxiliary device for assisting artificial eye detection, the light auxiliary device comprises a strip-shaped lamp and a lampshade, the strip-shaped lamp is fixedly connected with the lampshade, and the light auxiliary device is connected with the warp knitting machine control cabinet. The lampshade is fixed with the warp knitting machine box body; the lampshade comprises an inclined upper plate, a long-strip-shaped lamp fixing side plate and a horizontal lower plate. The lampshade is of an integrated bent structure. And the inclination angle of the inclined upper plate is 40-60 degrees. The laser broken yarn monitoring device is arranged below the horizontal lower plate and fixed to the warp knitting machine rack. According to the utility model, through combination of automatic laser broken yarn monitoring and artificial eye detection secrecy, the photo-assisted device for assisting artificial eye detection is simple in structure, low in cost and very good in use effect, and the combination of the two can effectively improve the weaving quality, so that the production cost is reduced.

The embodiment of the application provides a defect detection method, device and electronic equipment. In the embodiment, an AI algorithm is used for preliminary positioning of defects in a glove image, initial classification is performed on a suspected defect area, a suspected defect category is obtained, fine classification is performed on the suspected defect area, a target defect category is obtained, automatic detection of the production quality of the glove is realized through machine vision, manual naked-eye detection is replaced, detection efficiency is improved, and the situation of missed detection is avoided. Further, the AI algorithm and the traditional 2D algorithm (i.e., the fine classification process described above) are combined to realize defect detection of the glove, the advantages of the AI algorithm and the traditional 2D algorithm are fully utilized, and the defect detection efficiency and accuracy of the glove are improved.

The invention relates to a driver monitoring system test evaluation method based on a simulation robot. Comprising the following steps: step 1, constructing a simulation robot for a DMS test; 2, designing a DMS test simulation robot control system; step 3, establishing a DMS system; step 4, generating and evaluating a test case; according to the method, firstly, a simulation robot used for DMS testing is constructed, then a steering engine is selected and arranged, and fine control over fatigue actions of the simulation robot is achieved through control of a microcontroller; a python language is used as a development basis, modular design is adopted, eye detection, head posture estimation, attention evaluation, parameter configuration, a camera interface and the like are included, and a detected DMS system is deployed; and finally, based on the national standard and the actual driving behavior, generating an efficient and high-coverage test case set by adopting a combined test theory, and executing through a control system, so that the problems of low efficiency, high cost, uncontrollable action, insufficient scene coverage, lack of a standardized evaluation system and the like of the existing DMS test method are solved.

The application relates to the field of eye detection, and discloses a three-dimensional model construction method based on ophthalmic detection. First, human eye state information is collected, and the human eye state information is pretreated to obtain initial eye state information; data analysis is performed on the initial eye state information to establish initial parameters of an eye three-dimensional model; parameter optimization is performed to obtain screening parameters of the eye three-dimensional model; the eye three-dimensional model is established, eye key points in the eye three-dimensional model are collected, and eye screening point data are bound for the eye key points; the eye key points are normalized, screening operation is performed through big data comparison, and final eye state information is obtained; geometric structure reconstruction is performed to obtain a reconstructed eye three-dimensional model; the application solves the problems that the prior art eye detection is inaccurate, is easy to affect a diagnosis result, and the existing eye model has a large difference in size, position and shape from actual patient eyes.

The invention belongs to the technical field of eye detection, and provides an eye position image acquisition and management method and system. The method comprises the following steps: grouping eyeball rotation images according to eyeball directions; predicting a first key parameter based on the illness state record data of the user and each historical eyeball rotation image corresponding to any orientation, and extracting a second key parameter from each eyeball rotation image grouped in the same orientation; target eyeball rotation images are screened from the groups, third key parameters of eyeballs are extracted from the target eyeball rotation images, all the target eyeball rotation images are synthesized into a panoramic image according to the directions corresponding to the groups to which the target eyeball rotation images belong, and the panoramic image and the third key parameters are stored in an associated mode. According to the method, the eye position image of the user and the corresponding eye feature parameters can be automatically collected, the data stored in an associated mode can be conveniently subjected to analysis such as current strabismus detection and screening and subsequent contrastive analysis of the recovery degree, and the strabismus condition analysis efficiency can be remarkably improved.

This disclosure describes, in part, systems and techniques for performing eye tracking. For example, a system can include a first imaging device that generates first image data. The system can then analyze the first image data to determine a position of a user’s face. Using the position, the system can cause an actuator to move from a first position to a second position in order to direct a second imaging device toward the user’s face. When in the second position, the second imaging device can generate second image data that represents at least the user’s face. The system can then analyze the second image data to determine a gaze direction of the user. In some instances, the first imaging device can include a first field of view (FOV) that is greater than a second FOV of the second imaging device.

The invention belongs to the field of crop detection, and provides a kiwi fruit wormhole detection method and device based on multistage vision, and the method comprises the steps: obtaining the image information of all the outer surfaces of kiwi fruits, judging whether there is an abnormal part, spraying colored water flow to the abnormal part, obtaining the dynamic video and water flow sound of the abnormal part impacted by the water flow, and carrying out the detection of the wormholes. And performing convolution processing on each frame of image in the dynamic video to obtain image features of the current frame of image, comparing the image features with the image features of the wormholes, and judging whether the wormholes exist or not. And processing each frame of image in the dynamic video, obtaining an interaction contour of the current frame of water flow and the surface of the kiwi fruit, extracting the area of the interaction contour, comparing the area with a set threshold contour area, and judging whether insect holes exist or not. And acoustic judgment: extracting the frequency and energy of the water flow sound, and comparing the frequency and energy with the set frequency and energy to judge whether insect holes exist or not. According to the invention, all-around visual detection can be carried out on kiwi fruits, and the detection accuracy is improved.

The invention discloses a large-field-of-view high-resolution near-to-eye detection lens, which comprises a diaphragm, a first lens group, a second lens group and a third lens group which are sequentially arranged along the direction of an optical axis, the second lens group comprises a fifth lens, a sixth lens, a seventh lens, an eighth lens, a ninth lens and a tenth lens which are sequentially arranged along the optical axis direction; the third lens group comprises an eleventh lens, a twelfth lens, a thirteenth lens, a fourteenth lens, a fifteenth lens and a sixteenth lens which are sequentially arranged in the optical axis direction; the first lens, the third lens, the seventh lens, the eighth lens, the twelfth lens and the thirteenth lens have negative focal power. The second, fourth, fifth, positive, ninth, tenth, eleventh, fourteenth, fifteenth and sixteenth lenses have positive focal power. The lens has a larger field angle, smaller distortion and higher resolution, can improve the efficiency and accuracy of index detection work of a near-to-eye display product, shortens the physical length, supplements the types of near-to-eye detection lenses, and enables the application range of the near-to-eye detection lenses to be wider.

This invention discloses an eye-tracking method and system based on multimodal corner-eye detection. The method includes: Step 1, acquiring user eye image data in real time and performing image enhancement processing; Step 2, multimodal corner-eye detection, sequentially performing initial detection and verification, refined detection, and iterative optimization detection, to obtain candidate corner-eye points through initial detection and verification, accurately locate the corner-eye point position through refined detection, and iteratively optimize the detection results of each frame through iterative optimization detection; Step 3, dynamic slip detection, including: continuously monitoring the positional changes of the corner-eye points of both eyes relative to the corner-eye points of a reference frame, using a single-threshold dual-level judgment mechanism to determine whether device slip has occurred; and updating the corner-eye point data of the reference frame when device slip occurs, and automatically triggering a recalibration process to update the position of the corner-eye points of the reference frame. This invention solves the problem that existing solutions have shortcomings in device slip detection, which leads to a significant decrease in tracking accuracy.

The application discloses a kind of multi-purpose portable ophthalmic examination device and method, it is related to medical equipment technical field, the scheme includes box, the inside of the box is equipped with two placing grooves, the inside of the placing groove is placed with eye detection device, the top of the box is hinged to be connected with lid, the inside of the box is sequentially embedded fixedly installed with two operation panels, the inside of the lid is embedded fixedly installed with display screen, two eye detection devices can be stored and fixed in the application, and it is convenient to carry and move, by being provided with display screen, operation panel and eye detection device, when using, eye detection condition can be directly displayed on display screen, manual observation is not needed, to reduce work burden, users can directly control eye detection device by operation panel, the position and angle of slit lamp can also be changed when using, to facilitate eye examination for different patients.

The utility model relates to the technical field of leaf spring eye detection, in particular to a leaf spring eye vertical parallelism detection device. Comprising a laser pen, two detection devices and two release limiting mechanisms, each of the two detection devices comprises an upper mounting plate, a cylinder body, an annular transparent shell, a centering mechanism and a limiting releasing mechanism; the limiting releasing mechanisms are used for driving the multiple inner movable plates on the centering mechanisms on the corresponding sides to synchronously approach inwards; the laser pen is mounted on the upper mounting plate on one side; and a round point is arranged on the upper mounting plate on the other side. According to the technical scheme, the vertical parallelism of the spring eye of the plate spring can be conveniently measured, and the two supporting devices and the two detection devices for measurement are of split structures, so that the occupied space of the equipment is reduced, and the transportation and the carrying are more convenient.

The application discloses a kind of pole piece slitting machine multi-tool defect detection device and method of technical field of slitting equipment, its device includes driving mechanism and detection mechanism on driving mechanism, driving mechanism is used to move detection mechanism to target position;Detection mechanism includes adjusting mechanism and camera assembly on adjusting mechanism, adjusting mechanism is used to move camera assembly to detection position when detection mechanism is located at target position;Camera assembly is used to collect the cutting edge image of the tool of pole piece slitting machine, and upload to control terminal to carry out defect identification;Its device only needs a camera assembly to detect all tools one by one, compared with traditional scheme, reduce space occupation and manufacturing cost, replace the work of manual naked-eye detection tool edge defect, improve detection precision and detection efficiency.The method is controlled while to detection device, introduces definition judgment and PID regulation, to further improve detection precision.

The utility model discloses an assembling device for multi-azimuth production of a massager, which comprises an assembling device body, a body component used for assembling the massager is mounted at the top of the assembling device body, and an adjusting component used for adjusting the distance between related detection equipment and the massager is mounted on the surface of the assembling device body. A detection assembly used for improving the detection efficiency is installed on the surface of the adjusting assembly. According to the utility model, the high-definition camera and the automatic detection assembly are installed, so that the all-around and high-precision monitoring of the massager production process is realized, the detection efficiency is greatly improved, and the phenomena of missing detection and false detection caused by manual naked eye detection are effectively reduced, thereby ensuring the stability and reliability of the product quality, and improving the production efficiency. Through the synergistic effect of all structures of the detection assembly, the massage strength and frequency of the massager can be accurately measured, it is ensured that the product performance meets the design requirement, and the overall quality of the product is improved.

The embodiment of the invention provides an eye detection method and a related device, and the method comprises the steps: carrying out the classification of an eye image based on a first model, obtaining a type prediction result corresponding to the eye image, and extracting the representation information of a middle layer of the first model; based on a second model driven by meta-cognition, extracting a global topological structure and a density manifold of the representation information of the middle layer in a representation space, and generating a self-confidence index; the self-confidence index is used for indicating the confidence of the type prediction result; and based on the type prediction result and the self-confidence index, determining an eye detection result corresponding to the eye image. According to the embodiment of the invention, the second model driven by meta-cognition is adopted to extract the global topological structure and the density manifold of the representation information of the middle layer in the representation space so as to determine the eye detection result, and the process quantifies the sample and distribution offset. Over-confidence of the deep neural network caused by taking the probability score as a confidence index is avoided, and the accuracy of a detection result is improved.

The invention discloses an eye medical data collection system and method based on artificial intelligence, and relates to the technical field of eye medical data collection, and the method comprises the steps: S10, generating an eye lesion feature data set of a to-be-detected eye of a target patient; s20, acquiring a first eye lesion feature data set and a second eye lesion feature data set based on a discrete condition of a target transaction deviation angle in the target lesion feature data set; s30, analyzing and determining an auxiliary eye lesion feature data set of the to-be-detected eyes of the target patient; and S40, generating eye medical data of the to-be-tested eyes of the target patient. The abnormal lesion feature data can be visually and clearly identified through the data set, the analysis efficiency of the data set is improved to a certain extent, and the generated eye medical data is more representative and less in data size compared with eye medical data directly acquired through an eye detection instrument.

The present invention relates to an apparatus and method for high-precision full-eyeball diopter map detection. The apparatus comprises: a light-emitting assembly for illuminating a fundus, a beam shaping module for converging a light beam, a reflection assembly for reflecting a light beam, an eyepiece for transmission imaging, an eye fixation position for providing an eye detection position, an imaging module for imaging, and a data processing assembly for processing image data. The eye fixation position, the eyepiece, the reflection assembly, and the imaging module are sequentially arranged on the same horizontal line. The data processing assembly is connected to the imaging module by means of a connecting wire and is configured for receiving imaging data from the imaging module and processing the imaging data. The light-emitting assembly, the beam shaping module, and the reflection assembly are located on the same vertical line. According to the present invention, the full-eyeball diopter can be calculated precisely to give a full-eyeball diopter map, achieving targeted fitting of defocus spectacle lenses and contact lenses, and improving the effect of myopia prevention and control.

The application provides a VR design-based head-mounted intraocular pressure measuring device, which comprises a glasses shell, a display unit, two first lenses and two measuring members. The glasses shell comprises an outer shell and a support, the outer shell is internally provided with a containing cavity and an opening, the opening is communicated with the containing cavity, the support is arranged in the containing cavity, the support is provided with two mounting channels, the two mounting channels are spaced apart along a second direction, and the glasses shell is internally provided with a first air duct. The display unit is arranged in the containing cavity. The two first lenses are used for VR imaging in cooperation with the display unit. Each of the two measuring members is arranged in one of the mounting channels. Each of the measuring members is internally provided with a second air duct, a first end of the second air duct extends along a first direction and penetrates through the measuring member to a side surface of the measuring member facing the opening, and a second end of the second air duct is communicated with a first end of the first air duct. The device further comprises a gas supply unit communicated with the second end of the first air duct, a shooting unit for shooting an eye detection area, and a control unit for controlling the gas supply unit and acquiring intraocular pressure information according to a shooting result of the shooting unit.