627 results about "Visual recognition" patented technology

This invention discloses a method and system for visual recognition and state characterization of cap pores during the drying process of morel mushrooms. The method first constructs a region of interest (ROI) on the morel cap, then performs instance-level recognition and segmentation of individual pores on the cap surface to obtain accurate pore segmentation results. Next, based on the segmentation results, it extracts pore structural features and cap morphological and color features from the ROI. Subsequently, it fuses these three types of features to construct a multi-dimensional feature vector, establishing a unified analytical framework for local pores and the overall cap state. Finally, it inputs the multi-dimensional feature vector into a pre-trained regression model to output the morel mushroom drying state characterization results. This method overcomes the limitations of traditional techniques in treating pores holistically, effectively avoiding problems such as pore adhesion and missed detection, improving the robustness of feature characterization and the consistency of quantitative results, achieving accurate monitoring of the morel mushroom drying process, and providing reliable technical support for drying state characterization and quality control.

This invention relates to the field of fault location technology and discloses a fault location method for a long-distance conveying inspection robot. The method includes: when the inspection robot performing long-distance conveying is detected to have reached an entrance equipped with an RFID tag, reading the RFID tag to determine the section of the long-distance conveying route to which the inspection robot belongs, and calculating the distance between the inspection robot and the entrance; acquiring an image of the idler roller taken by a camera mounted on the inspection robot, and using an image recognition algorithm to identify the idler roller code; when a fault signal is received, concatenating the section of the long-distance conveying route to which the inspection robot belongs, the distance between the inspection robot and the entrance, and the idler roller code identification result to obtain the position of the inspection robot in the long-distance conveying, and generating an alarm message. This invention combines RFID and visual recognition to accurately locate the inspection robot's position, improving positioning accuracy and thus improving fault handling efficiency.

This invention relates to the field of mineral and rock processing technology, specifically to a mineral and rock specimen processing device and method for testing and analysis. The processing device includes a worktable, a shifting component, a clamp, a cutting component, a grinding component, a drying component, and a storage component. The cutting component, grinding component, drying component, and storage component are sequentially arranged around the upper perimeter of the worktable, respectively used for cutting, grinding, drying, and storing the mineral and rock specimens. The clamp is used to hold the mineral and rock specimens and is adapted to the cutting component, grinding component, drying component, and storage component. The shifting component is located in the center of the worktable and is rotatably connected to the worktable. The shifting component uses a robotic arm to hold the clamp and switch the processing position of the clamp. The processing method is applied to the processing device, which can achieve the integration and automation of the mineral and rock specimen processing process under on-site conditions without excessively relying on visual recognition and motion control technology or manual labor.

This application relates to the technical field of combination weighing, and in particular to a combination weighing based on visual recognition. A buffer mechanism receives materials and reduces the impact force when the materials fall. A weighing mechanism is located below the buffer mechanism to catch the materials falling from it. A visual recognition mechanism is located on the main frame near the buffer mechanism and includes at least a camera and an image recognition module. The camera is used to collect image information of the materials inside the buffer mechanism in real time, and the image recognition module analyzes and processes the collected images and transmits the image signals to the control system. Both the buffer mechanism and the weighing mechanism include a storage hopper and an opening and closing component for opening and closing the discharge port of the storage hopper. A weighing sensor is installed on the weighing mechanism to monitor the weight change of the materials in the adjacent storage hopper and transmit the weight signal to the control system. This application enables precise control of the quantity and quality of materials, meeting packaging requirements.

This invention discloses an automated sports equipment management system and method based on machine learning, comprising the following steps: acquiring borrowing and returning trigger data, class code image acquisition, ball return area image acquisition, ultrasonic distance data, and equipment quantity data; inputting the class code image into an improved YOLOv2 ball borrowing and returning status recognition model deployed in a K210 vision module to obtain class recognition results; controlling the servo motor to release the ball based on the class recognition results and the number of remaining balls; opening the ball return cover and acquiring ball return detection data when returning the ball; generating a ball return confirmation result by combining ultrasonic distance changes and ball target recognition results; updating the number of borrowed balls in the class and the number of remaining balls in the equipment, and generating display, voice, and recording data. This invention achieves automated borrowing and returning management of ball sports equipment based on machine learning visual recognition and sensor linkage control technology.

The present application relates to discrete device testing technology field, especially to a kind of discrete device full automation test equipment with intelligent temperature control and buffer scheduling, setting tool handling unit, visual identification manipulator, at least one tool positioning area, multiple positioning material placing mechanisms, multiple aging test machines and at least one cooling buffer warehouse, multiple positioning material placing mechanisms include at least one to be tested positioning material placing mechanism, at least one tested positioning material placing mechanism, at least one defective positioning material placing mechanism and at least one buffer positioning material placing mechanism;Each positioning material placing mechanism is configured with material placing container, and the material placing container is configured to store multiple discrete devices;It can improve test efficiency and equipment utilization, through full-process unmanned collaborative work, multiple aging test machines synchronous test, non-stop buffer replacement and seamless connection of temperature control and equipment scheduling, avoid time-consuming and equipment emptying, plugging problem of artificial operation, significantly improve test pace and equipment utilization.

The application relates to a semiconductor packaging workpiece sorting method, device, equipment and cutting and sorting integrated machine, wherein the semiconductor packaging workpiece sorting method comprises the following steps: recognizing each discrete packaging substructure by using a visual recognition module, judging whether each packaging substructure is a good product device or a defective product device; determining the position information of the good product device and the defective product device on the adsorption workbench according to the corresponding recognition results of each packaging substructure and the corresponding position information of the packaging substructure on the adsorption workbench; driving a sorting arm to transfer the good product device to a good product tray according to the position information of the good product device on the adsorption workbench; and driving the sorting arm to transfer the defective product device to a defective product tray according to the position information of the defective product device on the adsorption workbench. The application can realize the corresponding centralized sorting of the good product device and the defective product, and avoids the problem of frequent path switching of the sorting arm caused by the mixed types of the packaging substructures.

This invention relates to the field of smart fisheries technology, specifically to a visual recognition-based automatic fish feeding control method, which includes the following steps: A pan-tilt-zoom camera, equipped with an infrared / enhanced light source, is installed at a suitable location to cover the fish feeding area, continuously acquiring water surface images and videos to obtain fish feeding activity data; noise reduction is performed using mean, median, and Gaussian filters; a target detection model is selected; the fish feeding status is determined to initiate feeding operations; the decision results drive the operation of the feeding equipment; alarm thresholds are set; operation logs are recorded; and a strategy report is generated using a big data algorithm, resulting in feeding operations, monitoring footage, and the strategy report. This invention solves the problem in traditional aquaculture where the lack of effective monitoring methods makes it difficult to accurately obtain fish feeding data, hindering the achievement of intelligent and efficient aquaculture.

The application discloses a visual recognition-based API non-connection truck Beidou alarm automatic notification method and system, belongs to the technical field of Beidou alarm, and aims at solving the problems of difficult API connection and high cost of a Beidou platform, and comprises the following steps: collecting real-time images of the interface of a Beidou monitoring platform by using a visual recognition technology, recognizing and extracting vehicle license plates, alarm types, specific speed limit violation values and fatigue driving time lengths; taking the extracted vehicle license plate as a unique search identifier, matching a corresponding driver mobile phone number in a pre-established database; generating a standardized early warning instruction based on an effective alarm, and calling an arbitrary available third-party cloud communication service interface; and according to the early warning instruction, automatically sending an SMS early warning containing alarm information to the relevant driver, so that the automation degree and real-time performance of truck Beidou alarm notification are improved.

This application provides a visual control method, system, storage medium, and program product for self-service baggage check-in equipment based on real-time baggage monitoring data, relating to the field of intelligent visual control technology. The method includes: acquiring baggage monitoring data in real time, including trigger signals from multiple photoelectric sensors and weight data output from a weighing platform; determining the speed evolution sequence of baggage based on the trigger signals and performing trend analysis; performing time-series coupling analysis of the trend analysis results and weight data to determine whether the baggage has entered a stabilization transition phase; predicting the target time when the baggage reaches a stationary state during the stabilization transition phase and sending a pre-configured command to the visual system in advance; and confirming that the baggage has reached a stationary state by verifying the fluctuation amplitude of the weight data after the target time arrives, and controlling the visual system to perform image acquisition operations. This solves the technical problem of poor visual recognition reliability of visual systems during the dynamic flow of baggage in related technologies.

This invention discloses an intelligent garlic seed posture adjustment device, comprising a feeding module, a posture adjustment module, a vision recognition module, and a drive module. The feeding module is composed of a separable first shell and a second shell, with a feeding port at the top and a guide structure inside, and a discharge hole at the bottom, for receiving garlic seeds and guiding them into the device. The posture adjustment module is rotatably installed inside the shell and has a through-tube cavity for receiving the garlic seeds. The vision recognition module is installed in the shell and is used to capture images of the garlic seed posture within the cavity. The drive module is connected to the posture adjustment module. The vision recognition module determines the orientation of the garlic seed scales and controls the drive module to rotate the posture adjustment module, correcting the garlic seed to an upright posture with the scales facing upwards. If jamming occurs, the shell can be separated for quick cleaning. This invention integrates feeding, recognition, adjustment, and seed dispensing, and has the advantages of compact structure and high correction accuracy.

This invention belongs to the field of pest monitoring technology, specifically a regional pest early warning and control system and method based on visual recognition. The system includes a multispectral pest trapping and imaging module, an image noise adaptive filtering module, a pest dual-branch feature analysis module, a pest population density quantification module, a pest spread trend prediction module, a precise control instruction adaptation module, and a pest control evaluation and optimization module. This invention collects multispectral pest images and environmental parameters through trapping, denoises and fuses them, and then uses a dual-branch network to simultaneously extract morphological and spectral features to accurately identify pests. It also quantifies pest population density and, combined with environmental parameters, predicts spread trends, classifies into three levels of early warning, and generates precise control instructions. This achieves accurate pest identification, early warning, and scientific control, improving the efficiency and level of regional pest early warning and control, and is suitable for large-scale agricultural production.

The application provides a self-adaptive grabbing manipulator suitable for multiple specifications of workpieces, comprising a mounting seat, a support fixedly connected to the bottom of the mounting seat, a visual sensor installed at the bottom of the support, a motor installed at one side of the support, an output shaft of the motor fixedly connected to one end of a bidirectional screw rod, and two sliding tables symmetrically and threadedly connected to the outer sidewall of the bidirectional screw rod. The visual sensor is used to collect the image of the workpiece, and the size of the workpiece is obtained by analyzing the image by a visual recognition module. A controller controls the motor to drive the bidirectional screw rod to rotate according to the information, so as to synchronously adjust the interval between the two sliding tables, realize the automatic adaptation of the opening and closing degree of the clamping plate, and be suitable for the grabbing of multiple specifications of workpieces, without the need for manual replacement of clamps or manual adjustment, thereby improving the flexible level of the production line. The support plate is driven by a cylinder to rotate around the first fixed shaft, so that the clamping angle and pressure of the clamping plate can be further adjusted according to the shape characteristics of the workpiece.

This invention discloses an adaptive dispensing method, apparatus, device, and storage medium, relating to the field of dispensing technology. The method includes acquiring identification information corresponding to a medium to be dispensed; acquiring dispensing parameters corresponding to the medium based on the identification information; arbitrarily placing the medium on the dispensing platform of a dispensing device; controlling a vision recognition device to collect and identify the placement information of the medium; and controlling the dispensing component of the dispensing device to perform a dispensing operation on the medium according to the dispensing parameters and the placement information. This method automatically matches dispensing parameters based on the identification information of the medium and automatically identifies the placement information of the medium using vision recognition technology before performing an adaptive dispensing operation. It eliminates the need for human intervention and complex operations, reducing the difficulty of dispensing operations and making the dispensing process more precise and efficient. It is suitable for mass production applications with different product models.

The application relates to the field of injection-molded part cleaning and dust removal, in particular to a tubular injection-molded part cleaning and dust removal device. The device comprises a cleaning and dust removal module arranged between an upper feeding module and a rotating material loading table, a visual identification module is arranged above the rotating material loading table, the upper feeding module feeds tubular injection-molded parts, the rotating material loading table rotates the tubular injection-molded parts around the main shaft of the tubular injection-molded parts by at least one round, and a transfer module simultaneously transfers the tubular injection-molded parts. The cleaning and dust removal module comprises an L-shaped pipe fixed on a cleaning support, a gas collecting cover and a gas pump and the like, the L-shaped pipe comprises a long pipe and a short pipe, the long pipe is provided with an air outlet branch pipe and an air inlet branch pipe, and the short pipe is provided with an inner wall air jet nozzle at the tail end; the application achieves the technical effects of effectively cleaning and dust removing the inner wall and the outer wall of the tubular injection-molded part and improving the cleaning efficiency and quality.

This invention discloses a motion risk assessment system and method for autonomous vehicles based on multi-mode trajectory prediction, comprising four sensors, a time synchronization module, a verification module, a local anomaly voting and fault detection counter, a trajectory correction and feature enhancement module, and an LSTM network. The four sensors include an INS (Inertial Navigation System) combined inertial navigation sensor, an inertial navigation IMU (Inertial Measurement Unit) sensor, a drive-by-wire chassis sensor, and a visual recognition sensor. The INS combined inertial navigation sensor includes GPS and an IMU. The verification module includes a χ² (X-ray) sensor. 2 The system includes checks for consistency in motion patterns and residual consistency; the LSTM network comprises an LSTM encoder, a classification decoder, and an LSTM decoder. This invention proposes a complete "detection-evaluation-decision" closed-loop solution. By constructing a multi-mode prediction network incorporating fault characteristics, not only is fault identification achieved, but the impact of faults on driving safety can also be accurately assessed, providing comprehensive safety decision-making support for autonomous driving systems.

The application relates to the technical field of intelligent management of industrial equipment, and particularly discloses an abnormal data management method and system for an industrial robot, which comprises the following steps: receiving operation data fed back by a monitoring sensor built in the industrial robot, positioning an abnormal moment according to the operation data; positioning a camera according to the installation position of the industrial robot, establishing a connection channel with the storage space of the camera, and reading a motion video with the abnormal moment as the center; identifying the motion video to obtain an abnormal trajectory; calculating the matching degree of the operation data and the abnormal trajectory, determining an extension interval according to the matching degree, and obtaining and storing the operation data, the motion video and an operation process based on the extension interval. On the basis of original identification, the visual identification process based on an existing monitoring system is introduced, the precision requirement of the two identification modes is reduced through the introduction of the matching degree calculation process, and the identification cost is reduced.

1. The name of the design product: composite robot workstation. 2. The use of the design product: the design product is used for visual identification, grabbing, carrying and arranging of parts. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The present invention provides a device that guides the driver of a construction vehicle so that they can objectively check the cleaning status without having to get out of the driver's seat, when using a vehicle mud-removal and cleaning device. [Solution] The vehicle mud-removal washing guide device 10 of the present invention comprises a rotation sensor 1 that measures the speed of a construction vehicle running on a group of rollers provided on a frame on which the front and rear tires of the construction vehicle are respectively placed, and a display device 2 that guides the washing state of the construction vehicle based on the measured speed. The display device outputs the washing state in a manner that can be visually recognized, and includes a light-emitting area composed of LED units, and guides the washing state by a bar graph meter in which the proportion of light emitted in the light-emitting area changes in a bar shape.

There is provided a method, device and computer program for navigating an agent in a multidimensional space, the method comprising: generating a data field that spatially corresponds to a multidimensional space in which an agent resides, wherein the data field is populated with observation comparison measure data with respect to a stored observation, the stored observation including second sensor data describing an environment of a first position in the multidimensional space, wherein the generating the data field comprises: obtaining a plurality of current observations made by the agent at different respective positions in the multidimensional space, the current observations including first sensor data describing an environment of each of the different respective positions in the multidimensional space; comparing each of the current observations with the stored observation to obtain respective observation comparison measure data for the different respective positions in the multidimensional space; and populating the data field with the observation comparison measure data according to the different respective positions in the multidimensional space; the method further comprising: determining a reliability measure associated with the stored observation by performing a reliability check of the data field; and managing a digital map of the multidimensional space by maintaining, updating, or deleting information in the digital map regarding the stored observation based on the reliability measure.

This utility model discloses a warehouse visual recognition device, including a loading vehicle body. The loading vehicle body includes a protective shell, a base plate, a drive motor, drive wheels, a steering wheel, and auxiliary support wheels. The drive wheels are limited and installed on both sides of the loading vehicle body via drive shafts. The base plate of the loading vehicle body is equipped with auxiliary support wheels. The device utilizes a combination of U-shaped fixing rods, U-shaped mounting rods, and buffer spring columns to prevent damage to the loading vehicle body due to collisions caused by external influences during operation. A high-definition image acquisition module and an image processing module preprocess the acquired images, effectively improving image quality. The recognition and analysis module employs a deep learning model trained on a large number of samples, enabling rapid and accurate extraction and recognition of warehouse features, significantly improving the efficiency of warehouse recognition. The supplementary lighting module automatically adjusts brightness according to lighting conditions, ensuring clear images can be acquired even in low-light environments.

This utility model provides a drug identification device, relating to the field of dispensing device technology. The drug identification device includes: a first visual recognition component, a tray, a conveying module, a turntable, a second visual recognition component, and a controller. The drug identification device provided in this embodiment uses the first visual recognition component to acquire the quantity, type, and position of the drugs on the tray. This allows the controller to control the conveying module to accurately pick up and move the drugs to the turntable. By installing a second visual recognition component on the side of the turntable, the device captures and identifies the drug's name, appearance, and dosage, enabling accurate and automatic drug identification, saving manpower, avoiding errors in drug use, and preventing risks to patient treatment outcomes.

The application discloses a building-to-building unmanned aerial vehicle monitoring method and device based on detection tracking, equipment and medium, relates to the unmanned aerial vehicle detection technical field, and includes: collecting target point cloud data in real time through a 4D millimeter wave radar to determine the spatial position information of the target unmanned aerial vehicle; adjusting the sensing direction of the visual sensing device according to the spatial position information, so as to obtain the visual recognition result of the target unmanned aerial vehicle through the visual sensing device and the pre-trained unmanned aerial vehicle recognition model; based on the spatial position information and the visual recognition result, the motion trajectory of the unmanned aerial vehicle is predicted, and the sensing direction is adjusted in real time according to the prediction result, so that the target unmanned aerial vehicle is in the image center position in the real-time image shot by the visual sensing device, and the real-time video stream of the unmanned aerial vehicle is obtained; through the cross-platform video stream transmission component, the real-time video stream of the unmanned aerial vehicle is forwarded and processed to be pushed to the target unmanned aerial vehicle monitoring platform, so that the target unmanned aerial vehicle monitoring platform provides the monitoring service of the target unmanned aerial vehicle.

The application discloses a kind of based on behavior tree and VLA's dual-arm robot task assembly method, specifically includes: when task starts, behavior tree is executed from root node, signal is sent to child node by fixed frequency;Proposition received by parsing perception module is extracted target object and its spatial relationship by conditional node, and three-dimensional information and attribute are obtained using visual recognition algorithm, to judge whether meet the requirement;Action node generates initial path according to motion planning module, trajectory optimization is carried out according to the dynamics constraint of manipulator, and deviation and disturbance in motion process are monitored in real time, timely adjustment is ensured to complete task, wherein user instruction and scene image information are integrated, joint angle and end effector instruction are generated by means of pre-trained multi-modal VLA model, guide dual-arm efficient cooperation, until successfully complete assembly operation.

The application relates to the technical field of power equipment inspection, in particular to a power equipment inspection method and system based on visual identification; the method comprises the following steps: collecting visible light images, infrared images, ultraviolet images and environment working condition identifiers, and generating a multi-environment three-mode inspection data set; mapping the visible light images, the infrared images and the ultraviolet images to an insulator cross-mode surface coordinate grid to obtain a three-mode coordinate observation point set, and generating a mode environment applicability structure; constructing a three-mode time sequence fingerprint, analyzing the time sequence change relationship of the three-mode time sequence fingerprint based on the environment working condition identifiers, and identifying a high-humidity sensitive grid set; performing state integration processing on the three-mode time sequence fingerprint of the spatial position in the insulator cross-mode surface coordinate grid, generating pollution flashover hidden danger judgment information of a target insulator, and outputting a power equipment inspection result containing the pollution flashover hidden danger judgment information. The application realizes the positionable inspection judgment of insulator pollution flashover hidden dangers in a high-humidity pollution environment.

The utility model relates to detection equipment technical field, concretely relates to electronic component detection equipment based on visual identification, include: machine table, rotate and install the rotary disc on the machine table, along the rotary disc rotation is equipped with feeding station, laser station, visual inspection station and unloading station in proper order, install the fixture on the rotary disc, the fixture includes: fixed plate, movable push pin and fixedly install the fixed pin on the fixed plate, in the utility model, through the depth of adjusting the top silk screwing into movable block, the compression degree of adjusting the spring, thereby change the spring elasticity, carry out the fixation to electronic component to carry out the detection.