84results about How to "Improve counting accuracy" patented technology

The invention belongs to the technical field of image analysis, and particularly relates to a multi-expert voting type crowd counting method based on scene understanding, which comprises the following steps of: extracting visual features from an input image and extracting text features from a text prompt by utilizing a backbone network comprising an image encoder, a text encoder and a feature enhancer; projecting the text features into an embedding space which is the same as the visual features for alignment; constructing a local subject expert used for local crowd target detection, a global context expert used for understanding the overall layout of the scene, a spatial relationship expert used for modeling the spatial relationship between crowds, and an attribute feature expert used for processing the appearance and attribute information of the target in the scene; a knowledge distillation strategy is adopted, and experts are trained in a fine-grained mode; and obtaining the output of each expert, and outputting a final counting result through a decoder. According to the method, the fine-grained crowd counting performance in a complex scene can be optimized by utilizing a voting mechanism and a knowledge distillation strategy of a multi-expert system.

The invention discloses a lightweight scenic spot pedestrian counting system based on improved YOLOv10n and DeepSort. According to the method, an improved YOLOv10n model is adopted as a detector to obtain a target detection result in a video scene. The influence of outdoor weather on a detection result is considered, and the detection result is more accurate under a complex background by fusing an attention feature fusion structure DC-FFA of dynamic convolution. A DeepSort multi-target tracking model is fused, pedestrians are tracked through Hungary matching and Kalman filtering, an SEAMNet36 pedestrian re-recognition network is designed, and appearance features of the pedestrians can be better extracted. In the counting aspect, the counting algorithm based on biconvex trajectory measurement and calculation can count the number of pedestrians in the picture and calculate the number of pedestrians entering and leaving the monitoring picture. According to the method, the model parameter quantity is reduced while the tracking accuracy is improved, the stronger apparent feature extraction capability is realized through a lighter network, the problems of missing detection, false detection, too many ID hopping times and the like in the prior art are solved, and the detection and tracking effects are improved.

The invention belongs to the field of artificial intelligence and financial science and technology, and relates to a sheep flock counting method based on small target detection, which comprises the steps of preprocessing a collected original sample data set, obtaining a training set and a test set, training a pre-constructed initial target detection model by using the training set and the test set, and obtaining a final target detection model. The target detection model comprises a backbone network, a neck network and a detection head network, predicting the to-be-counted sheep flock pictures through the trained target detection model, and recognizing the number of the sheep flock in the pictures. The invention further provides a sheep flock counting device and equipment based on small target detection and a storage medium. In addition, the invention also relates to a block chain technology, and the target detection model can be stored in a block chain. The counting efficiency and accuracy can be improved, and manpower and material resources are saved.

The invention discloses a multi-channel seed counting monitoring system based on data fusion, which is applied to the technical field of automatic seed counting of seed metering devices, and comprises a seed flow dispersion structure, a photoelectric sensor and a signal processing module, the signal processing module is used for processing output signals acquired by the photoelectric sensor from each seed monitoring channel, the method specifically comprises the following steps: determining a seed passing event based on digital signal level change of each seed monitoring channel, and updating a counter in combination with an event triggering interval threshold value to obtain a total seed count; in each time step length, performing state prediction by using an unscented Kalman filtering algorithm, generating Sigma points, propagating the Sigma points by using a system model, calculating a mean value and a covariance of a prediction state, and updating state estimation by combining the propagated Sigma points converted by an observation model; and adjusting the count of the seed monitoring channel and the total seed count based on the updated state estimation, and updating the counter. The seed counting accuracy is improved.

The embodiment of the invention discloses a frequency divider. The frequency divider comprises an odd number path, an even number path and a frequency dividing ratio judging device, the odd-numbered paths, the even-numbered paths and the frequency dividing ratio judger can receive the frequency dividing ratio sent by the frequency dividing ratio provider and a clock signal input by the input clock; the odd number path is used for triggering a first counter and a second counter included in the odd number path to count the input clock signals and outputting a first output signal under the condition that the frequency dividing ratio represents an odd number; the even-number path is used for triggering a third counter included in the even-number path to count the input clock signal and outputting a second output signal under the condition that the frequency dividing ratio represents an even number; and the frequency dividing ratio judging device is used for determining a frequency dividing signal at least from the first output signal or the second output signal and the clock signal according to the frequency dividing ratio and outputting the frequency dividing signal.

The application discloses an integrated full-medicine robot intelligent pharmacy and a use method thereof. The intelligent pharmacy comprises a pharmacy body, a medicine shelf for placing medicines is arranged in the pharmacy body, a plurality of medicine storage baskets are placed on the medicine shelf, an X-axis transmission device moving along an X direction is arranged on one side of the medicine shelf, a Z-axis transmission device is vertically slidably arranged on the X-axis transmission device, a medicine taking and storing device and an electric mechanical hand are arranged on the Z-axis transmission device, a scanning mechanism for identifying the traceability code of the medicines in the medicine storage baskets is arranged on the medicine taking and storing device, a medicine supplementing device and a first medicine dispensing device are further arranged in the pharmacy body, and a second medicine dispensing device is arranged in communication with the outside of the pharmacy body. The electric mechanical hand, the medicine taking and storing device are driven by the X-axis transmission device and the Z-axis transmission device to move to the medicine shelf to take and place the medicines, and the first medicine dispensing device, the second medicine dispensing device and the medicine supplementing device are cooperated to realize automatic identification, dispensing and supplementing of the full medicines, so that the phenomenon of medicine clamping and medicine taking error is avoided.

The application discloses a light-proof flow cell and relates to the field of particle counter accessories, which comprises a first shell and a second shell, flow holes are formed in the first shell and the second shell, a wear-resistant light-blocking layer is arranged between the first shell and the second shell, a plurality of first plug-in holes are formed in the second shell, and a plurality of corresponding first plug-in columns are arranged in the plurality of first plug-in holes. The first shell and the second shell are made of quartz diamond material, and the hardness is high, so that the contact with the detection liquid is diamond material, the wear resistance can be improved, the first plug-in hole and the first plug-in column are arranged at four corners and are matched, and the butt joint precision is improved, so that the grinding effect of the flow holes by the grinding liquid can be effectively reduced, the phenomenon that the pore size of the flow cell becomes large can be avoided, and therefore the accuracy is not greatly affected during counting, and the stability during use and the counting accuracy are improved.

An automatic counting, checking and collecting device comprises a supporting frame, a material distributing disc is fixed to the supporting frame, a rotating disc is arranged on the material distributing disc, a plurality of fan-shaped grooves with the same size are formed in the rotating disc, a plurality of containing holes used for containing products are formed in the fan-shaped grooves, the containing holes penetrate through the fan-shaped grooves, and the rotating disc is arranged on the supporting frame. A fan-shaped blanking hole corresponding to the fan-shaped groove is formed in the material distributing disc, a driving assembly for driving the rotating disc to rotate is arranged below the rotating disc, and a camera for scanning the number of products is further arranged above the rotating disc; the driving motor drives the rotating disc to improve the counting efficiency and accuracy, the counting scheme that the circular rotating disc tool is combined with the groove is matched with the camera for automatic scanning confirmation, the problems that manual counting is prone to fatigue and inattention are effectively solved, it is ensured that the counting result is accurate, and meanwhile the labor cost and the labor intensity can be reduced.

The utility model relates to a microorganism counting device which comprises a cabinet body, a transparent lens, a magnifying lens and a bearing assembly, a working platform is formed at the top of the cabinet body, and an observation hole is formed in the working platform. The transparent mirror is installed in the observation hole, is provided with criss-cross separation lines, and is divided into a plurality of counting areas by the separation lines. And the magnifying lens is movably arranged on the working platform. The bearing assembly is inserted into the cabinet body and comprises a frame, clamping plates and an elastic structure, the two clamping plates are distributed at intervals in the horizontal direction, the clamping plates are elastically connected with the frame through the elastic structure, and the two clamping plates are used for clamping vessels. The microbe counting device has the characteristics of small operation difficulty, capability of relieving eye fatigue of an operator and high counting accuracy.

The present invention belongs to the technical field of tree counting, and specifically relates to an automatic counting device for forestry trees and a method thereof; the device comprises a touch rod, a buffer cavity is arranged inside the touch rod; a counter is also installed on the touch rod; a touch pressure relief mechanism is also arranged on the touch rod, and the touch pressure relief mechanism is used to adjust the impact force generated when the touch rod contacts the tree; the touch pressure relief mechanism comprises an auxiliary cylinder slidably arranged on the end point of the touch rod, and one end of the auxiliary cylinder is located in the buffer cavity; a breathable round block is fixedly installed in the buffer cavity, and a pressure absorbing and energy absorbing unit is arranged on the breathable round block, and the breathable round block divides the buffer cavity into two areas; the touch rod is protected by the touch pressure relief mechanism, so that the wear of the touch rod is avoided during frequent counting, and the service life of the device is improved. At the same time, the above-mentioned buffering force can also prevent the internal parts of the touch rod and the precision instruments such as the counter from being vibrated and impacted, and the use effect of the device is improved.

The invention discloses a rape pod detection and counting method and system based on YOLOv8, and the method comprises the steps: constructing a rape inflorescence pod image data set, and carrying out the training and testing of the YOLOv8, and obtaining a detection model with stable and standard detection precision; inputting the detected rape inflorescence silique image into the detection model, and outputting a bounding box and confidence coefficient for calibrating the rape silique by the detection model; and sorting the bounding boxes, calculating an overlapping degree between two adjacent bounding boxes, screening the bounding boxes according to the overlapping degree, and counting the number of the bounding boxes reserved by screening to obtain the total number of rape inflorescence siliques. The detection model obtained by the method meets the detection requirements of small-target rape pods, the problems of missing detection and repeated counting are solved through bounding box screening, and the counting accuracy is high. According to the system, full-process automation of input-detection-counting-output is achieved, the operation threshold is lowered, and the actual use requirement of a user can be better met.

The application discloses a kind of particle counting device and particle counting method, and particle counting device includes counting cabin, light transmission tray, light source piece, image acquisition module and controller.Light transmission tray is located on counting cabin and can move between loading station and counting station, wherein, counting station is located in counting cabin;Light source piece is located in counting cabin and is located at the underside of light transmission tray;Image acquisition module is located in counting cabin and is located at the upside of light transmission tray, and image acquisition module is used to image shooting on the particle on light transmission tray;Controller is connected with image acquisition module and is configured as: obtaining the particle picture of image acquisition module shooting, and counting particle according to particle picture.The particle counting device in the application counts the particle picture of image acquisition module shooting by setting controller and image acquisition module cooperation, improves the accuracy of counting result, and can significantly improve the speed of particle counting.

The invention discloses a production work reporting device for industrial MES, which comprises a first transmission structure, a second transmission structure, a movable limiting device, a buffer transfer device, a piezoelectric counter, a photoelectric sensor and an operation table, and is characterized in that the first transmission structure is erected on the second transmission structure; the movable limiting device is rotationally arranged at the discharging end of the first conveying structure. The buffer transfer device comprises a rotating arm capable of rotating and resetting, a bearing structure and a trigger head, and the bearing structure is arranged at one end of the rotating arm and used for jacking the movable limiting device so that the workpieces on the first conveying structure can be conveyed into the bearing structure; the trigger head is arranged at the other end of the rotating arm so as to trigger the piezoelectric counter when the bearing structure sinks due to the gravity of the workpiece; the photoelectric sensor is arranged on a transmission path of the second transmission structure, and the piezoelectric counter and the photoelectric sensor are electrically connected with the operation table. According to the invention, under the condition that accurate work reporting is achieved, the equipment cost is lower than the work reporting cost of an RFID tag.

The present invention discloses a fish counting method based on density map regression, comprising the following steps: step S1: constructing a fish data set of different densities; step S2: constructing a U-Fish network architecture; step S3: constructing a U-Fish loss function; step S4: optimizing the image quality by using an image enhancement method, and mixing the original image with the enhanced image to train the constructed U-Fish model, and obtaining a fish counting model after the training; step S5: inputting the image to be detected and its corresponding enhanced image into the trained fish counting model, and the model outputs a density map and a counting result. The present invention can effectively overcome the influence of water surface reflection and fish overlap, improve the counting accuracy, and reduce the complexity of model calculation.

The invention relates to screw counting equipment which comprises a discharging structure, a conveying structure, a counting device and a collecting structure. The discharging structure comprises a discharging bin, the discharging bin comprises a feeding bin and a discharging pipe, a driving mechanism is fixed to the upper portion of the feeding bin and provided with a rotating shaft, a cam is fixed to the rotating shaft, a stirring rod is arranged on the cam, and when the rotating shaft rotates, the stirring rod is driven by the cam to rotate around the rotating shaft; the conveying structure comprises a conveying belt, a plurality of screw placing grooves are formed in the conveying belt, and the screw placing grooves are located below an outlet of the discharging pipe; the counting device adopts photoelectric counters, and the photoelectric counters are arranged on the two sides of the material conveying structure; according to the screw counting equipment, the number of large-batch screws can be conveniently and rapidly counted, the automation degree is high, the efficiency is high, and the precision is high.

The utility model provides a counting device under a low-power optical microscope, which belongs to the technical field of biological instruments and comprises a glass slide, bosses, a liquid adding area and a counting area are arranged on the glass slide, the liquid adding area is positioned between the two bosses, the liquid adding area is communicated with the counting area, and counting scales are arranged on the counting area; the liquid adding areas are used for adding sample liquid to the liquid adding areas, the counting areas are used for observing and detecting the sample liquid, and the number of the liquid adding areas and the number of the counting areas are both three. The counting device provided by the utility model is suitable for an optical microscope under a 40-time lens, the width of the long-strip-shaped counting hole of the counting area is just equal to the width of a visual field, the visual field is clear and is not easy to mix, and the counting device only needs to move towards one direction (leftward or rightward) during counting, so that the counting accuracy and efficiency are greatly improved, and the counting efficiency is greatly improved. The problems of inaccurate counting such as weighing and missed counting when the sample liquid is counted under an optical microscope at present are effectively solved.

The utility model discloses a visual counting machine in the technical field of counting machines, the counting machine comprises a rack, and a stock bin, a blanking groove, a vibration assembly, a scale hopper and a camera which are arranged on the rack, the vibration assembly comprises an obliquely arranged vibration disc and a driving piece used for driving the vibration disc to vibrate, the high end of the vibration disc is located below the discharging groove, a discharging gap is formed between the high end of the vibration disc and the discharging groove, an adjusting piece used for adjusting the height of the discharging gap is arranged on the discharging groove, an inclined sliding groove is further formed in the machine frame, the high end of the sliding groove is located below the low end of the vibration disc, and the low end of the sliding groove extends to the position over the scale hopper. The particle counting machine can be suitable for materials with different particle sizes, can eliminate the influence of vibration on the particle falling speed and track, can adjust the discharging speed, and is matched with a light supplementing measure and the like, so that the image acquisition effect, the counting precision, the counting efficiency and the like are obviously improved.

This utility model relates to the field of PET cold-pressed sheet processing technology, and discloses a PET cold-pressed sheet stacking and counting device, comprising: a frame, including a frame plate and several support legs, the support legs being fixedly disposed below the frame plate; a counting component, including a weighing scale and a display screen, the weighing scale being fixedly disposed above the frame plate, the display screen being fixedly disposed on the front side of the frame plate, and a control board electrically connected to the weighing scale being built-in; an auxiliary packaging component, including a strapping groove and positioning rods, the strapping groove being disposed on the frame plate, and the positioning rods being fixedly disposed at the four corners above the frame plate; and a compaction mechanism, including a pressure plate and a support, the support being fixedly disposed on the rear side of the frame plate, with a movable plate rotatably connected to its upper end, one end of the movable plate being driven to rotate by a stepper motor fixedly disposed on the support, and the pressure plate being disposed below the extended end of the movable plate and being driven to rise and fall by a cylinder fixedly disposed on the movable plate. The advantages of this utility model are: accurate counting, small error, and easy packaging after counting.

The utility model discloses a kind of grip balls with counting function, it is related to grip ball technical field, including grip inner ball and counting component, the grip inner ball is integrated structure, the counting component is set to the inside of grip inner ball, and counting component includes elastic silica gel frame, pressure sensor, LCD display screen, MCU chip, silica gel vertical plate, arc support, movable rod and press ball, the elastic silica gel frame is set to the right side in grip inner ball inside, and elastic silica gel frame and grip inner ball are the integrated structure of close connection, and the inside of elastic silica gel frame is provided with pressure sensor, the upper side of grip inner ball is equipped with LCD display screen. The grip ball with counting function, by counting component, so that the device can be automatically counted during use, improve counting accuracy by electronic counting, realize data visualization, quantization exercise effect, by preventing the component to make the device can prevent grip ball sliding off hand during use.

The utility model discloses an elevator car top junction box detection device utilizing a CAN communication function of a PLC. The elevator car top junction box detection device is characterized by comprising a PLC detection box shell, a plug-in wiring port, a connecting cable, a 24V switching power supply and a digital detection step sequence counting display, the programmable controller PLC is at least provided with a CAN communication port and a programming port, the programmable controller PLC is provided with more than 32 I / O ports, the physical layer of the CAN communication port meets the CAN communication standard, and the baud rate can be freely programmed; and the plug-in wiring port has the same plug-in wiring port and standard as the car roof wiring box. The detection task is completed directly, independently, simply, quickly and efficiently in the states of finding wrong display parts and the like, line missing detection is avoided, the problem of board replacement in detection is solved, the test is simpler and more convenient, the detection working efficiency is improved, and new problems and fault points caused by board replacement are eliminated.

The invention discloses an insect catching device for an orchard and a counting method. The insect catching device for an orchard is provided with a counting component on an insect falling channel, and the counting component includes a current sensor, a boost valve, a negative pressure fan and a counting sensor component. The current sensor detects the current change of the electric shock net to detect whether a pest falls into an insect receiving plate, and when the pest falls into the insect falling channel, the boost valve cooperates with the negative pressure fan to control the flow direction and flow rate of the air in the insect falling channel, so that the pest passes through the counting sensor component with the air flow, thereby avoiding repeated counting caused by the pest moving back and forth in the insect falling channel and improving the counting accuracy.

The embodiment of the invention provides a goods counting method, electronic equipment and a storage medium. The method comprises the following steps: acquiring an image frame sequence acquired by at least one image acquisition device, and performing vehicle detection according to the image frame sequence to acquire a vehicle detection result; according to a vehicle detection result, extracting a position area of the vehicle in each image frame, and obtaining a vehicle area image; performing illumination influence processing on the vehicle area image, performing cargo instance segmentation processing, and obtaining a cargo segmentation result corresponding to each vehicle; according to the cargo segmentation result corresponding to each vehicle, obtaining a single-frame cargo counting result of each vehicle in each image frame; according to the position information of each vehicle in each image frame, performing position association on the same vehicle, and obtaining track information of each vehicle; and performing time sequence fusion on the track information of the same vehicle and the single-frame cargo counting result to obtain the final cargo quantity corresponding to each vehicle. The goods counting device achieves the effect of improving the goods counting accuracy and stability.

This utility model discloses an automatic bottle cap counting device, comprising a base plate, a vertical plate, a flat plate, a first fixing plate, and a second fixing plate. Vertical plates are fixed to both sides of the top of the base plate, and a flat plate is fixed to the top of each vertical plate. Support frames are fixed to both sides of the top of the base plate, and a conveyor frame is mounted on the top of each support frame. A digital display electronic counter body is mounted on one side of the surface of the conveyor frame, and an infrared transmitter is mounted on one side of the top of the conveyor frame. The first fixing plate is mounted on one side of the top of the base plate, and a receiver is mounted on the surface of the first fixing plate. The second fixing plate is fixed to one side of the top of the base plate. This utility model not only improves the counting accuracy of the bottle caps and fulfills the function of limiting the size of bottle caps of different specifications, thus expanding the applicability of the device, but also avoids material accumulation and enhances the ease of use of the device.

The embodiment of the invention provides a signal processing device and method and a chip, and the device comprises a signal generation module, a counting module, a register module, a control module and an audio processing module, and the signal generation module is used for generating a first clock signal according to a first frequency control word; the counting module is used for counting a first number of first clock signals in N preset clock periods by adopting a circular windowing mode, and storing the first number into the register module; the control module is used for acquiring the first number from the register module, comparing the first number with a preset clock period to obtain a comparison result, and determining an adjustment strategy corresponding to the first frequency control word according to the comparison result, so that an input clock signal and an output clock signal of the audio processing module are kept in a fixed phase; the problem that the deviation of the output clock signal in one direction becomes larger and larger is avoided, and the problem of sound interruption is solved, so that high-quality signal transmission of an audio system is realized.

The application provides a greenhouse armyworm plate pest image acquisition and identification method based on deep learning, and belongs to the technical field of image processing. The method comprises the following steps: obtaining an armyworm plate image through a field acquisition device; performing a pretreatment operation on each initial armyworm plate image to obtain a plurality of sample armyworm plate images; inputting the plurality of sample armyworm plate images into an initial pest detection model, generating a candidate region by using a region proposal network, performing pooling and classification regression on each candidate region to obtain sample pest type and sample pest position information; calculating a region proposal network loss and a classification regression network loss according to the sample pest type and the sample pest position information, and determining total loss information according to the region proposal network loss and the classification regression network loss; inputting a to-be-detected armyworm plate image into a target pest detection model, sequentially passing through a region proposal network and a classification regression network to obtain target pest type and target pest position information.

The invention discloses a rapid counting method for clostridium butyricum high-concentration bacterial liquid, and relates to the technical field of microbiological detection. In order to solve the problems that the overall detection period is relatively long, and the requirement on rapid detection of the bacterial count within 12-18 hours in production cannot be met; the operation of adding the blocking agent is complex and has high requirements on technicians, and misoperation may cause non-uniform oxygen-free environment, so that the growth of thalli and the counting accuracy are influenced. According to the method, the bacterial count of the clostridium butyricum high-concentration bacterial liquid can be rapidly detected within 12-18 hours, especially when the spore count exceeds 25 billion / ml or higher, high precision is still kept, sample treatment steps are simplified, dyeing and image analysis technologies are optimized, the detection time is effectively shortened, bacterial count data are ensured to be accurate, a reliable basis is provided for bacterial powder preparation in production, and the method is suitable for industrial production. The production efficiency and the product quality are improved.

The application discloses a sugarcane seed stalk automatic counting and bagging device, and relates to the technical field of sugarcane seed stalk automatic packing, which solves the technical problems of low efficiency, easy error, complex bagging equipment and inability to continuously work in the process of bagging of the existing sugarcane seed stalk production line. The automatic counting and bagging device comprises a belt conveying device, a brush, a counter, a bagging device and a controller, wherein the bagging device is provided with a first bagging device and a second bagging device, both of which are slidingly installed on a slide rail perpendicular to the main conveying direction and are controlled to switch by a displacement driving device. When the counter detects that the current bagging quantity reaches a preset value, the controller automatically triggers the displacement action to move the full bagging device out and simultaneously moves the empty bagging device into a material receiving position, so that the whole bag changing process does not need to stop and continuous operation is realized. Meanwhile, a directional arrangement device and a roller brush are matched to prevent the bending and overlapping of the sugarcane seed stalks and to improve the packing accuracy.

The invention belongs to the technical field of nuclear radiation detection, and particularly relates to an ESEM-oriented radon solid track image counting method and system, and the method and system are composed of a solid track detector, an environment scanning electron microscope, a high-resolution camera, an image analysis processing system, a fixed frame and a communication module, and achieve the automatic image preprocessing and image edge detection. The method comprises the steps of image binarization threshold segmentation, morphological processing, connected component analysis, feature extraction, body track automatic counting, result output and the like, automatic collection and processing of a solid track image of a radon environment are completed, a marked image is obtained, the marked image comprises the marked solid track position and the serial number of a connected component, the marked image can be directly used for observing a sample, and the detection accuracy is improved. The requirements on chemical fixed trace and vacuum observation environment are reduced, the influence of charging effect and high vacuum environment on the sample is avoided, and real-time detection can be carried out.

The present invention belongs to the field of image analysis technology, and specifically relates to a multi-expert voting crowd counting method based on scene understanding, the steps of which include using a backbone network including an image encoder, a text encoder and a feature enhancer to extract visual features from an input image and extract text features from a text prompt; projecting the text features into the same embedding space as the visual features for alignment; constructing a local subject expert for local crowd target detection, a global context expert for understanding the overall layout of a scene, a spatial relationship expert for modeling the spatial relationship between crowds, and an attribute feature expert for processing the appearance and attribute information of targets in the scene; adopting a knowledge distillation strategy to train each expert in fine granularity; obtaining the output of each expert, and outputting the final counting result through a decoder. The present invention can optimize the fine-grained crowd counting performance in complex scenes by using the voting mechanism and knowledge distillation strategy of a multi-expert system.