67 results about "Artificial vision" patented technology

The invention relates to the technical field of photovoltaic module detection, in particular to a TOPCon battery piece defect detection device and a TOPCon battery piece defect detection method. The optical imaging module comprises a 25,000,000-pixel camera, a three-color integral light source array and a multispectral optical filter group, and the light source array is composed of red, green and blue LEDs and supports pulse synchronous triggering; the traditional algorithm processing module is integrated with a Halcon image processing library and is configured with a VarThreshold operator dynamic threshold segmentation unit, an adjustable kernel size corrosion filtering unit and a light and shade separation unit, and an Erosion Rectangle1 operator is used for corrosion filtering; the AI defect detection module is internally provided with an improved YOLOv8 neural network model, and the model structure comprises a Backbone network embedded with a CBAM attention mechanism, a BiFPN network bidirectional feature pyramid and a dynamic loss function optimizer; according to the technical scheme, the limitation problems of low positioning precision, poor detection efficiency, single defect identification dimension and the like of an artificial vision or traditional probe contact detection means can be solved.

The invention provides a multiband photoresponse nerve synapse device based on a two-dimensional and organic heterostructure, an array and application, and belongs to the technical field of organic electric solid-state devices. The device provided by the invention adopts a three-end bottom gate top contact structure and comprises a gate substrate, an insulating layer, a channel layer and a source / drain electrode, and the channel layer forms an II-type heterojunction by a two-dimensional semiconductor material with a narrow-band gap characteristic and an organic semiconductor material. The heterostructure realizes ultraviolet to far infrared (365nm-10 [mu] m) multiband photoelectric response, and shows synaptic plasticity under light pulse modulation, including short-term enhancement, long-term enhancement and learning-forgetting-re-learning characteristics. Large-area array preparation of the device can be realized through methods such as chemical vapor deposition, solution spin coating, jet printing or layer-by-layer self-assembly. The technology not only can be used for brain-like learning and memory simulation, but also can be applied to the fields of sensing and memory integrated intelligent systems, optical neural networks, artificial vision, multi-mode intelligent sensing and the like.

The invention relates to the field of computer vision and deep learning, and particularly provides a cable low-voltage sheath surface small-size defect detection method and device.Firstly, in the target detection stage, the original structure of a YOLOv5 algorithm is three detection heads P3 / P4 / P5 which represent the detection capacity of the detection heads for small scales, medium scales and large scales from top to bottom; then, in an image classification stage, particle small-size pictures in target detection data are cut, an algorithm is input for training, and defect features are enhanced; compared with the prior art, machine vision can be used for replacing manual vision quality inspection; the omission ratio and the false detection ratio are reduced; the detection efficiency and the production safety are improved; and the production cost and the dependence on external resources are reduced.

The invention discloses a separation membrane product defect detection method based on artificial vision. The separation membrane product defect detection method comprises the following steps that 1, separation membrane products are put on a shelf for preparation; step 2, carrying out transverse guiding detection treatment on the separation membrane; 3, carrying out automatic light detection treatment on the separation membrane; step 4, carrying out automatic marking treatment on separation membrane detection; and step 5, subsequent repair treatment of the separation membrane: the separation membrane is sequentially subjected to racking, transverse guiding, light detection, defect marking and subsequent repair treatment through the five steps, rapid and efficient detection and treatment of the defects of the separation membrane are achieved, and defect detection equipment is used as an operation carrier for defect detection of the separation membrane product defect detection method. According to the separation membrane product defect detection method designed by the invention, special defect detection equipment is arranged, and rapid and efficient problem investigation and marking treatment can be carried out on the separation membrane by adopting a light detection mode.

The invention relates to a conductive slip ring surface microgroove machining device and method based on visual positioning, and belongs to the field of advanced manufacturing. The device comprises a visual detection module, an industrial personal computer, a laser range finder, a numerical control machine tool and a clamping tool. The industrial personal computer is used for communicating with the numerical control lathe, the laser range finder and the visual detection module, acquiring acquired information and transmitting a G code; the tool turret on the numerical control machine tool is used for installing the laser range finder, the visual detection module and the tool, the clamping tool is used for installing the conducting rod, and the tailstock should have the jacking pressure adjusting function; the laser range finder is installed on the tool turret through a screw and sends a displacement signal to the industrial personal computer to guide the industrial personal computer to judge the motion state of the machine tool. The device can efficiently and stably collect the surface picture of the microgroove of the conducting rod, replaces manual visual observation, improves the processing efficiency of the microgroove of the conducting rod, is also suitable for processing the microgrooves of various types of conducting rods, has better universality, and saves the design cost and the manufacturing cost.

The invention discloses a full-light-operated memristor based on an oxide / quantum dot composite structure and a method, and belongs to the technical field of optoelectronic devices. The invention discloses a structure of a full-light-operated memristor. The structure sequentially comprises a substrate, a lower electrode layer, an oxide / quantum dot composite structure layer and an upper electrode layer from bottom to top, the oxide / quantum dot composite structure layer is composed of an oxide layer and a quantum dot layer. According to the full-light-operated memristor disclosed by the invention, the oxide is combined with the high-light-sensitivity quantum dots to form II-type, Z-type and S-type heterojunctions, and photo-induced electrons in the heterojunctions can realize directional transfer from the quantum dots to the oxide under illumination, so that the effective working window of the device is improved. Compared with an existing full-light-control memristor, the composite structure shows a larger working window, the full-light-control performance of the device is remarkably improved, and practical application of the full-light-control memristor in the fields of neuromorphic calculation and artificial vision is facilitated.

A system for clinical analysis by an analytical chip with an actuator device which, in turn, includes a computer module integrating all the signals received by the system and transforming them into analytical results, connectable through a connectivity module with a data processing module connected to an external large-scale clinical data system to generate patterns of diagnoses. A fluid drive module for the impulsion of fluids inside the analytical chip. A thermal module distinguishes thermal areas of the analytical chip. An artificial vision module of the processes is inside the analytical chip. An electronic interface communicates the sensors and actuators integrated in the analytical chip and the actuators of the actuator device with the computer module. A power management module to autonomously power the portable system inside an external container that protects all the previous modules of the actuator device and where the analytical chip is inserted.

The invention relates to the technical field of electronic information, and provides a color titration analysis method and system based on an ARIMA model, and the method comprises the steps: starting a titration cycle according to a titration operation instruction, and in the titration cycle process, capturing corresponding image frames according to a fixed time interval by an industrial camera and carrying out image preprocessing; calculating an HSV mean value of each frame of image as a real-time titration color value point, and generating a real-time titration change curve; when the collection number of the titration color value points reaches a preset initial sample size, generating a titration prediction curve based on the trained ARIMA model in combination with the titration color value points; comparing the deviation values of the real-time titration change curve and the titration prediction curve at the same time point in real time, and judging that titration is finished when the deviation value exceeds a preset deviation threshold value and the continuous deviation times reach a preset value; the problems that in the prior art, the titration process depends on artificial visual judgment, the titration end point presetting of automatic equipment is limited, the maintenance cost of a color sensor is high, and the precision is limited are solved.

The invention relates to an artificial visual nervous system based on a bimodal neural device, which comprises a bimodal visual information calculation array composed of a physical convolution kernel array and a synaptic calculation array, and is characterized in that the physical convolution kernel array is used for receiving an ambient light signal and converting the ambient light signal into an electric signal for output; the synaptic calculation array is used for receiving the electric signals and converting the electric signals into visual signals, and the physical convolution kernel array and the synaptic calculation array are each composed of a plurality of bimodal transistors. The method has excellent bimodal cooperative computing capability, and realizes image feature extraction and preprocessing by simulating a receptive field mechanism (excitement / inhibitory response) of the retina bipolar cells through the physical convolution kernel array; the synaptic plasticity (LTP / LTD mechanism) of a central nervous system is simulated in combination with a synaptic calculation array, advanced calculation of visual signals is completed, and a complete optic nerve bionic system is formed by means of the array composed of single devices.

The invention provides a cascade artificial vision substitution compensation mechanism and vision auxiliary enhancement equipment, and relates to the technical field of artificial vision enhancement, and the mechanism comprises an equivalent convex lens imaging system and a photoelectric imaging system. The equivalent convex lens imaging system is an ultra-short-focus high-convergence equivalent convex lens imaging system formed by one or a series of optical lenses; the photoelectric imaging system captures external image information in real time through the image acquisition equipment, removes depth-of-field information, generates a focus real image for compensating visual adaptation after focal length optimization, and outputs the focus real image to the display equipment to be displayed in front of the visual field of a user; the equivalent convex lens imaging system serves as a substitution mechanism and is located at the near end of a visual axis, the photoelectric imaging system serves as a compensation imaging mechanism and is located at the far end, and the substitution mechanism and the compensation imaging mechanism are sequentially arranged on a light path in a cascading mode from the near end to the far end to form a cascading structure for compensating visual defects. Visual replacement and compensation are achieved at the near end and the far end respectively, and the visual ability of an amblyopia patient is improved.

Method and integrated system for automation of discharge to a mining crusher that includes the analysis of oversize and crushable objects from the extraction truck, and that tracks by means of images associated with a trained convolutional neural network, the oversize and crushable objects as they fall and move through the crusher bowl, analyzing the material flow conditions in the crusher, ordering the start of the crusher hammer in the bowl when there is an oversized material, such as a rock, stopping the discharge from the truck automatically and when it is released and the flow is resumed in the crusher, it generates the order for a truck to start or continue the discharge to the crusher, achieving an auto- discharge system to the crusher. The analysis of the crushable objects from the extraction truck is carried out through artificial vision comprising a deep learning tool, for detection of non-crushable and oversize during the fall of the material into the crusher bowl (or discharge chute).

The invention relates to a method for optimizing carrier separation based on ion irradiation induced positive / negative photoconduction, which comprises the following steps: uniformly irradiating a single crystal sample by using an Xe35 + ion beam with the energy of 500-520MeV at room temperature, and controlling the dosage range of the ion beam to be 4.0 * 10 < 11 > cm <-2 >-3.0 * 10 < 12 > cm <-2 >. Defects with specific concentrations and types are accurately introduced into r-TiO2 crystal lattices, so that the on-demand design of the photoelectric property of the material is realized. A brand-new material preparation approach and a device prototype are provided for developing a new generation of sensing and computing integrated artificial vision sensor, a low-power-consumption neuromorphic computing chip and the like.

The object of the invention is a lens, in particular for artificial vision, comprising, along an optical axis (X):-a front optical unit having a positive power; -an intermediate focal plane on which the light from the front optical unit is focused; -an intermediate optical unit having a positive power, arranged behind the intermediate focal plane; and a rear optical unit having a positive power, including an aperture stop of the lens, and receiving the light from the intermediate optical unit. The entrance pupil of the lens is arranged in the front optical unit.

The utility model discloses a beef quality detection system using machine vision to replace artificial vision, and relates to the beef quality detection field, the beef quality detection system comprises a sampling unit, a controller, an execution unit and a conveying unit, the sampling unit comprises an image acquisition unit and a meat quality acquisition unit, the sampling unit is connected with the controller, and the controller is connected with the execution unit. The controller is connected with the execution unit, in the actual operation of the device, beef is collected and sampled through the sampling unit, a collected signal is transmitted to the controller, the controller transmits the signal to the analysis unit, the analysis unit compares the collected signal with data in a database, and the data in the database is analyzed. The method has more remarkable advantages from the algorithm to the detection precision, photographing and sampling detection are carried out at the same time, the quality of the beef is proved from the two aspects together, and the beef rating is more basis.

The invention discloses a method and system for removing bubbles in cement paste, electronic equipment and a storage medium, and relates to the technical field of cement paste bubble removal. Whether bubbles exist in the cement slurry in the slurry mixing tank or not is judged according to a cement slurry density measurement value obtained through measurement of the electronic densimeter, or whether bubbles exist in the cement slurry in the slurry mixing tank or not is determined in an artificial visual judgment mode, and a judgment result is obtained; when the judgment result is yes, an ultrasonic generator arranged on the slurry mixing tank is controlled to emit ultrasonic waves, and bubbles in the cement slurry are destroyed through the emitted ultrasonic waves. According to the invention, bubbles are removed through a physical means, namely ultrasonic waves, so that the purpose of replacing a defoaming agent is achieved, the bubble removal effect is good, and the method is suitable for cement paste for oil well cementation.

The invention discloses a wind power tower drum surface crack intelligent detection method based on improved YOLOv5s, and the method comprises the steps: S1, obtaining a historical wind power tower drum surface crack image, and carrying out the preprocessing of the historical wind power tower drum surface crack image, and obtaining a preprocessed image; step S2, the cracks in the processed image are marked, and the marked image is obtained; s3, training the improved YOLOv5s algorithm by using the marked image to obtain a wind power tower drum surface crack detection model; and S4, inputting a real-time to-be-processed wind power tower drum crack image or video into the wind power tower drum crack detection model to realize intelligent detection of the surface crack of the wind power tower drum. The problems of low efficiency, false detection and limited detection range of an artificial vision detection method are solved. Compared with a traditional crack detection method based on a YOLOv5s algorithm, the crack detection method based on the YOLOv5s algorithm has the advantages that the accuracy is improved, the phenomena of false detection and missing detection are reduced, and due to the addition of the preprocessing step, the robustness is better.

The invention discloses a neural retina synaptic device for artificial vision and a preparation method thereof. The neural retina synaptic device includes: a substrate; the electrode consists of a gate electrode, a source electrode and a drain electrode and is formed on the substrate; the channel layer is formed by a zero-dimensional quantum dot / two-dimensional material heterojunction thin film, has enhanced response to optical signals, is formed on the substrate, is used for connecting the source electrode and the drain electrode to form an electrical path, and is far away from the gate electrode; and the gate dielectric layer is made of an electrolyte gate dielectric material and is connected with the channel and the gate electrode to form a double-electrode layer. The gate electrode receives an electric signal to simulate a synaptic front end, the channel layer receives an optical signal to simulate a retinal cell light sensor, the source electrode, the drain electrode and the channel layer complete information collection, processing and storage by reading voltage, and the electric synaptic front end is adjusted to obtain positive and negative light current response. The method is used for constructing a sensing, storage and calculation integrated visual neuromorphic sensing system.

The invention discloses an information-loss-rate-free optical tuning coding artificial visual neuron, a preparation method and a use method. The preparation method comprises the following steps: firstly, growing an oxide layer on a silicon substrate, then forming a photosensitive channel by spin-coating photosensitive quantum dots on a channel layer, then forming an FET source-drain structure through photoetching and thermal evaporation, and then forming a TS parallel structure through atomic layer deposition, photoetching and thermal evaporation, thereby forming a 2TS-FET device and completing the preparation of the artificial visual neurons. The artificial visual neuron tests the peak current of the 2TS-FET device through the peripheral circuit as information coding. According to the invention, the TS parallel connection is utilized to reduce the current refractory period and the channel quantum dots have different sensing capabilities for light with different wavelengths, and the performance of the transistor is shown as the magnitude of channel current, so that the magnitude and frequency of coding current of a device are influenced, and the artificial visual neuron can be optically tuned without information loss. The artificial visual neuron is simple in structure, high in coding precision and low in power consumption and has CMOS compatibility.

The invention discloses a cortex visual prosthesis control method and system based on reinforcement learning and behavior feedback, and the method comprises the steps: obtaining a visual image of an external environment, and extracting a feature vector of the visual image; inputting the feature vector into a reinforcement learning environment to generate an electrical stimulation pulse sequence corresponding to a plurality of microelectrode channels; applying the sequence of electrical stimulation pulses to a microelectrode array implanted in the visual cortex of a patient to induce light magical perception; behavior feedback generated when the patient executes a visual recognition task based on the light magical visual perception is obtained; and updating parameters of the reinforcement learning environment based on the behavior feedback to form closed-loop optimization. The stimulation strategy can be evolved on line, the cortical function recombination state of an individual caused by long-term blindness is automatically adapted, the morphological drift of light magical vision along with time can be effectively dealt with, and therefore the stability and long-term availability of artificial visual perception are remarkably improved.

The invention particularly relates to a carton printing color difference defect detection method based on artificial intelligence and image recognition, and relates to the technical field of industrial detection. Acquiring multi-mode active light field data; geometric and reflection decoupling calculation based on a physical model; and calculating the intrinsic chromatic aberration and judging the sensing fusion. According to the method, phase calculation and three-dimensional reconstruction are carried out to extract a surface normal vector, a mixed reflection model is substituted to solve an intrinsic diffuse reflection color, shadow stripping, highlight and other geometric interferences are solved, the extracted intrinsic color truly reflects printing ink characteristics, color difference calculation of a CIELAB color space is combined, high, medium and low saliency regions are divided according to region attention, and a differentiation threshold value is set. And a weighted chromatic aberration mean value is calculated for judgment, so that the deviation between traditional single threshold judgment and artificial visual evaluation is reduced, anthropomorphic quality judgment is realized, and the detection precision and the result reliability are greatly improved.

The invention discloses a pin winding mechanism of a pin winding machine, which comprises a pin winding vertical moving module, an upper pin winding plate and a lower pin winding plate, the driving end of the pin winding vertical moving module is connected with a pin winding mounting frame, the upper end of the pin winding mounting frame is connected with an upper driving assembly, the upper pin winding plate is mounted on the upper driving assembly, and the lower end of the pin winding mounting frame is connected with a lower driving assembly. The lower foot winding plate is installed on the lower driving assembly, an upper foot winding motor is fixed to the upper foot winding plate, an upper winding needle is rotationally connected to the upper foot winding plate, the upper foot winding motor drives the upper winding needle to rotate, a lower foot winding motor is fixed to the lower foot winding plate, a lower winding needle is rotationally connected to the lower foot winding plate, and the lower foot winding motor drives the lower winding needle to rotate. According to the pin winding mechanism of the pin winding machine, the movable pin winding plate drives one set of upper winding pins and the other set of lower winding pins to be matched with the position of a pin column on a current pin winding jig, the requirement for a combined structure of thick copper wire winding and thin copper wire winding is met, meanwhile, automatic high-low adjustment, left-right adjustment and front-back adjustment are achieved, and the precision is higher than that of artificial vision.

A simple and efficient PCB surface crack detection device comprises a feeding assembly, a roller coating assembly, a detection assembly and an intelligent detection system. The feeding assembly comprises a machining table and a bearing tray. The roller coating assembly comprises a roller coating frame, a coating roller and a fluorescent ink box; the detection assembly comprises a detection frame, a camera obscura and a visual detection camera. The simple and efficient PCB surface crack detection device disclosed by the utility model has the beneficial effects that the fluorescent roller coating structure is designed to be matched with the feeding structure and the visual detection structure, so that the detection of the PCB surface crack is simple and efficient, and compared with artificial visual detection, fluorescent marking and machine visual detection are more accurate and reliable; a cleaning structure and a drying structure are designed, so that the PCB coated with fluorescent ink can be quickly cleaned and dried, and the detected PCB can better flow into a subsequent processing flow; the utility model has the advantages of strong practicability and strong popularization significance.

The invention belongs to the field of semiconductor photoelectronic devices, discloses a two-dimensional niobium oxyhalide intrinsic type artificial visual synapse device and a preparation method thereof, and particularly relates to application of an intrinsic type two-dimensional NbOX2 material as a channel material in the artificial visual synapse device, the intrinsic type two-dimensional NbOX2 material is arranged along the surface of a substrate, and the intrinsic type two-dimensional NbOX2 material is arranged along the surface of the substrate. One end of the electrode covering the area between the source electrode and the drain electrode covers the source electrode, and the other end of the electrode covering the drain electrode; the source electrode and the drain electrode are made of two-dimensional Van der Waals semimetal; the edge, close to the drain electrode, of the source electrode and the edge, close to the source electrode, of the drain electrode are parallel to each other and are both perpendicular to the crystallographic c-axis of the intrinsic two-dimensional NbOX2 material. According to the invention, the independent intrinsic two-dimensional NbOX2 material is selected as the channel material, destructive functionalization processing does not need to be carried out on the channel material, intervention of an additional charge trapping layer is not needed, and the artificial visual synapse device constructed based on the intrinsic two-dimensional NbOX2 material can well simulate synapse behaviors.

A system for inspecting structural elements during their manufacturing capable of detecting anomalies in the automatic placement of composite materials through computer vision, comprising an image capture module that can be integrated into an ATL machine extracting data from the images, from which an artificial vision module obtains information on the anomalies detected with computer vision, information that a human-machine interface module automatically translates into a language understandable to humans. By avoiding the need to manually enter data for the inspection, human errors are avoided, and the information obtained for each inspection can be automatically saved for record storage. The system is designed to inspect large structural element compounds, such as aircraft wings.

A method for moving workpieces (50, 51, 52) to be machined and / or machined pieces (60, 61, 62) in a robotized work island (300), comprising an operating machine (250) for working sheet metals and a robot (100) for moving the workpieces (50, 51, 52) and machined pieces (60, 61, 62) and having an operating end (101) provided with gripping means (110) and an artificial vision apparatus (1), comprises the steps of positioning the operating end (101) above a first supporting plane (261) to acquire by means of a camera (2) of the vision apparatus (1) a first three-dimensional image of the first supporting plane (261) and of workpieces (50, 51, 52) and / or stacks of workpieces (55); processing the first three-dimensional image to determine position and orientation of the first supporting plane (261), number, geometry, position and orientation of each workpiece (50, 51, 52) and / or of each stack of workpieces (55, 56); identifying one or more workpieces (50, 51, 52) to be picked up and comparing its geometry with respective reference geometry to ascertain whether the workpieces (50, 51, 52) are compliant; picking up the workpiece (50, 51, 52) if compliant and moving it towards and a worktable (260) of the operating machine; releasing the workpiece (50, 51, 52) onto the worktable (260) so as to be machined and obtaining a corresponding machined piece (60, 61, 62); picking up the machined piece (60, 61, 62) from the worktable (260); arranging the operating end (101) with the vision apparatus (1) on the second supporting plane (262) to acquire a second three-dimensional image of the second supporting plane (261) and any machined pieces (60, 61, 62) and / or stacks of machined pieces (65, 66); processing the second image so as to determine position and orientation of the second supporting plane (262), number, position and orientation of any machined pieces (60, 61, 62) and / or stacks of machined pieces (65, 66); positioning and releasing the machined piece (60, 61, 62) on the second supporting plane (262).

The invention discloses a power grid state evaluation method and device, terminal equipment and a storage medium, and the method comprises the steps: carrying out the calculation of the slope and the slope value of each pixel point in a to-be-detected region of a power grid equipment picture, further calculating the amplification data, carrying out the convolution processing and binary processing, and carrying out the calculation to obtain crack labeling graph data, and finally, counting the number of abnormal pixel points according to the crack labeling graph data of all the pixel points, and further evaluating the state of the power grid. According to the power grid state evaluation method provided by the invention, the crack annotation graph data can be automatically generated according to the power grid equipment picture, the crack state can be determined according to the crack annotation graph data, and the state of the power grid is further evaluated. Compared with artificial visual detection, the method is higher in precision, saves manpower, and improves the power grid state evaluation accuracy and efficiency.

Described is a carpentry tool for human-robot collaborative stereotomy using a collaborative industrial robot system controlled by artificial vision capabilities that locates, recognizes, and executes machining instructions hand-drawn by a carpenter on a workpiece, which can be in installed permanently in a factory or temporarily on site and is formed by a transport unit and a collaborative industrial robot system comprising a control system, a vacuum generator, a backup power system, a positioning means, a user interface, a detection system, an alert system, a manipulator, a horizontal linear movement shaft, a robotic tool changer, an end-effector rack, an automatically changeable eye-in-hand vision system, and a plurality of interchangeable cutting tools; and a method for operating said tool.

The invention discloses a visual reconstruction method and a related product. The method comprises the following steps: acquiring image data of a target image; mapping the coordinate of each visual pixel in the image data and a visual cortex to obtain an array matrix; the array matrix comprises a mapping relation between each visual pixel and a visual cortex; based on the sound focus position corresponding to each visual pixel in the image data, obtaining a driving parameter of each array element in the stimulation equipment; processing the array matrix based on the driving parameter of each array element to obtain a driving sequence; and controlling stimulation equipment based on the driving sequence, and stimulating the visual cortex to present the target image. The defect that traditional single-point or uniform scanning stimulation lacks space coding capacity is effectively overcome, the spatial resolution and perception consistency of artificial vision are remarkably improved through topological mapping from an image to a cortex layer and accurate regulation and control of a sound field, and meanwhile long-term foreign matter reaction is avoided.