28results about "Counting objects with random distribution" patented technology

Properly manage the cleaning of ion exchange resins. [Solution] The ion exchange resin cleaning system 1 comprises a container 2 for cleaning the ion exchange resin 3, a cleaning water supply pipe L2 for supplying cleaning water to the container 2, a discharge pipe L4 for discharging the cleaning wastewater, and a measuring device 5 connected to the discharge pipe L4 for measuring the water quality of the cleaning wastewater. The measuring device 5 comprises an evaporation unit 52 that evaporates the cleaning wastewater to form residual particles, and a measuring unit 53 that measures the number of residual particles.

The concentration of non-volatile dissolved substances in the water flowing through the water treatment system must be properly managed. [Solution] The water treatment system 1 has a measuring device 5 that introduces the water flowing through the water treatment system 1 as the water to be measured and measures the water quality of the water to be measured. The measuring device 5 has an evaporation unit 52 that evaporates the water to be measured to form residual particles, and a measuring unit 53 that measures the number of residual particles.

The application relates to a crowd behavior attribute counting method, system and product, and belongs to the field of computer vision.The counting method comprises the following steps: acquiring a complex crowd image; constructing a multi-scale feature fusion attention mechanism crowd behavior attribute counting neural network trunk; training the multi-scale feature fusion attention mechanism crowd behavior attribute counting neural network trunk based on the complex crowd image; acquiring a complex crowd image to be counted; and inputting the complex crowd image to be counted into the trained counting neural network to obtain a counting result.The above scheme in the application is suitable for dividing the behavior attributes of large-scale high-density crowds and detecting the number of crowds, and effectively improves the accuracy of detecting the number of specific crowds.

The invention relates to a surgical instrument counting device for counting one or more different types of tools (h) for use in a surgical procedure, which comprises: an image-capturing camera (2); an electronic device (3) connected to the camera (2) and linked to a processing unit (3.1) that processes the images captured by the camera and executes counting algorithms; software with image recognition algorithms that uses artificial intelligence and computer vision, which is installed in the processing unit (3.1) and is capable of detecting and counting one or more different types of tools (h), including groups or families of tools, and capable of self-learning; and a support (4) suitable for mounting and positioning the camera (2) on a surface (5) on which tools (h) forming the set of instruments necessary for a surgical procedure are disposed.

To provide an information processing device that can more accurately grasp the storage status. [Solution] The information processing device according to the present invention comprises: a distance measurement information acquisition unit that acquires distance measurement information of a space including a three-dimensional virtual space area of ​​a predetermined size by a distance measuring sensor mounted on a moving body that moves based on a self-position estimation means; a calculation unit that calculates the amount of space occupied by an object present in the three-dimensional virtual space area based on the acquired distance measurement information of the three-dimensional virtual space area and pre-stored topographic information of the space including the three-dimensional virtual space area; and a request information generation unit that generates request information requesting the replenishment of the object based on the time-series change in the amount of space occupied by the object.

The application discloses a kind of crop kernel intelligent counting and internal quality multidimensional measurement system based on multistage drop difference dispersion and edge cloud cooperation, system includes multi-channel intelligent transfer warehouse machine electric feeding device, multistage ladder dynamics drop difference conveying device, inverted multispectral transmission imaging perception module, deep learning adaptive measurement module and automatic weighing recovery module.Parameter hot load is realized by scanning code and internet of things, adaptive anti-blocking feeding is realized by using rudder rotating baffle and two-stage vibration feeding disc coupling;Grain physical dispersion is realized by using multistage ladder gravity and collision tumbling;By inverted linear array CMOS camera and multi-band transmission light source, the characteristics of external contour and internal transmittance are synchronously acquired when grain falls.Lightweight YOLOv11 network is deployed on edge to accurately detect dense small targets, and gray threshold is combined to realize full and empty grain classification and statistics.The application can realize high-throughput, high-precision and automatic measurement of grain number, grain shape and quality parameters of multiple varieties of crops.

The present application relates to the field of particle detection, and specifically provides a method and device for identifying and counting ultrafine particles based on photoelectric effect, and a storage medium, comprising: obtaining photoelectric signals generated by a flow of particles to be detected passing through a photoelectric detection array; extracting original features of the photoelectric signals, combining time domain decomposition and frequency domain transformation to construct an initial signal feature matrix; performing multi-scale tensor decomposition and signal component screening on the initial signal feature matrix to generate enhanced photoelectric signals; determining a polarization coherence angle interval based on the enhanced photoelectric signals, extracting polarization energy features, analyzing polarization state conversion characteristics, and establishing a three-dimensional polarization feature fingerprint; performing adaptive segmentation processing on the enhanced photoelectric signals, extracting oscillation feature spectrum, and combining the three-dimensional polarization feature fingerprint to obtain a feature correlation matrix; and constructing a multi-dimensional classification criterion based on the feature correlation matrix, and determining a final particle count result accordingly. The present application improves the accuracy and recognition ability of ultrafine particle counting, and is particularly suitable for high-density micro-nano particle detection in complex environments.

The utility model relates to the related technical field of counting devices, and provides a source counting tool which comprises a tool table and a pushing piece, a groove set and counting marks are arranged on the tool table, the groove set comprises a plurality of groove positions, the groove positions are used for containing objects to be counted, the counting marks are used for displaying the number of the groove positions, and the pushing piece is movably connected with the tool table. The pushing piece is used for pushing the to-be-counted objects to move. A plurality of objects (sealed seed sources) to be counted are placed on the tool table, and one object to be counted can be just placed in one groove position. When a plurality of to-be-counted objects fall into the corresponding slot positions, the number of the to-be-counted objects is obtained based on the setting of the counting identifiers; when redundant objects to be counted appear, the pushing piece can move relative to the tool table to push the objects to be counted to move away from the tool table. Compared with the prior art in which tweezers are manually adopted to count one by one, the automatic counting device saves time and labor, is low in error rate, and is favorable for avoiding the influence of articles to be counted on operators.

The utility model discloses a precise seed counting and bed placing tool, and relates to the technical field of seed counting in a seed germination experiment. The device comprises a seed box, the bottom of the seed box extends outwards to form a boss, the boss is matched with a cover, a sliding device is arranged in the seed box and comprises a sliding rod, the two ends of the sliding rod can be installed in sliding grooves in the corresponding sides in a sliding mode respectively, and a handle and a brush are arranged on the sliding rod. A seed containing plate, a seed counting plate and a push plate are sequentially laid in the seed box. According to the utility model, through the integrated structure arrangement, the device comprises the sliding device, the seed containing plate, the seed counting plate and the push plate, the one-stop operation from seed mixing to quantitative distribution to neat arrangement is realized, the experiment preparation time is shortened, the operation steps are simplified, and the seed counting plate is provided with a plurality of uniformly arranged and hole-shaped seed leaking holes, so that the seed counting efficiency is improved. The number of the seeds placed each time is ensured to be accurate, and the distribution condition of the seeds on the germination bed is adjusted by adjusting the position of the push plate, so that the seeds are uniformly arranged.

A well counting device comprises an image acquisition unit that acquires one or more images of a plurality of wells capturing a target substance; and a counting unit that counts the number of wells emitting fluorescence among the plurality of wells for each of the one or more images acquired by the image acquisition unit, wherein the counting unit counts the number of wells emitting fluorescence, excluding a well that also emits fluorescence in adjacent wells, among the plurality of wells.

The utility model discloses dual-drive fixed-distance image measurement equipment, which comprises a bearing box main body, a shooting module arranged at the top end in the bearing box main body, a dual-drive lifting module arranged in the bearing box main body and positioned below the shooting module, and a display control screen arranged on the side surface of the bearing box main body, the code scanning gun is arranged on the bearing box body and is in linkage with the display control screen, the door sensor is arranged on the front face of the bearing box body, and the height sensor is arranged in the bearing box body and is used for sensing the height of materials borne on the dual-drive lifting module. According to the dual-drive fixed-distance image measuring equipment, the counting accuracy of the whole box of material pipes can be effectively improved, the bulk material pipes can be gathered to improve the counting accuracy of the bulk material pipes, and development and progress of the industry are well promoted.

The present application relates to a kind of tea tree planting in the monitoring method of pest control, it includes the following steps: a, first adopt main network to carry out feature extraction to image sample, shallow feature of image sample is simultaneously selected and regression operation is carried out;B, the deep feature in each layer of main network is gradually stacked to shallow feature by the way of up-sampling and convolution layer combination in each layer;C, the deep feature of each layer of main network is fused with the shallow feature of each layer after corresponding stacking again, as the output layer of neural network, and complete the regression identification of tea green leafhopper;Meanwhile, according to the identification and regression operation result combination demarcated yellow board range, complete the deduplication processing of the same position tea green leafhopper repeated identification on different output layer, finally quantity is calculated.The monitoring method can efficiently complete the identification, counting of tea green leafhopper, and the judgment accuracy is high, time-saving and labor-saving, saves manual cost.

The present invention appropriately manages the concentration of a nonvolatile dissolved substance contained in water to be measured flowing through a water treatment system or the like. This measurement device 5, which measures the water quality of water to be measured, comprises: an evaporation unit 52 that evaporates the water to be measured to form residual particles; and a determination unit 53 that determines the number of residual particles. This water treatment system 1 comprises a measurement device 5 that introduces water flowing through the water treatment system 1 as water to be measured and measures the water quality of the water to be measured. This ion exchange resin cleaning system 101 comprises: a container 102 in which an ion exchange resin 103 is cleaned; a cleaning water supply pipe L102 that supplies cleaning water to the container 102; a discharge pipe L104 that discharges cleaning wastewater; and a measurement device 5 that is connected to the discharge pipe L104 and measures the water quality of the cleaning wastewater.

The invention relates to the field of particle detection, and particularly provides a photoelectric effect-based ultrafine particle identification and counting method and device, and a storage medium, and the method comprises the steps: obtaining a photoelectric signal generated when a to-be-detected particle flow passes through a photoelectric detection array; extracting original features of the photoelectric signals, and combining time domain decomposition and frequency domain transformation to construct an initial signal feature matrix; performing multi-scale tensor decomposition and signal component screening on the initial signal feature matrix to generate an enhanced photoelectric signal; determining a polarization coherence angle interval based on the enhanced photoelectric signal, extracting polarization energy characteristics, analyzing polarization state conversion characteristics, and establishing a three-dimensional polarization characteristic fingerprint; adaptive segmentation processing is carried out on the enhanced photoelectric signal, an oscillation characteristic spectrum is extracted, and a characteristic incidence matrix is obtained in combination with the three-dimensional polarization characteristic fingerprint; and constructing a multi-dimensional classification criterion based on the feature incidence matrix, and determining a final particle counting result according to the multi-dimensional classification criterion. The method improves the precision and recognition capability of ultrafine particle counting, and is especially suitable for the detection of high-density micro-nano particles in a complex environment.

A component count device (100) comprises: an oscillation unit (20) which oscillates a housing unit (2) which houses a plurality of components (1); a photographing unit (30) which continuously photographs the components in the housing unit being oscillated by the oscillation unit; and an information processing unit (41) which, on the basis of photographic images (50) sequentially photographed by the photographing unit, tracks the components being moved by oscillation and which counts the number of the components in the housing unit.

An information processing program causes a computer to obtain a plurality of captured images of fish in a plurality of directions within a corf from a plurality of imaging devices. Based on the distance from the imaging devices to each of the captured images of each of the fish, a plurality of sets of first fish positional information in a given area from a given position in the corf is aggregated into a second fish positional information representing a position of one fish, and estimating information on the fish based on the second fish positional information.

The utility model discloses a kind of rotating automatic sequencing devices of microbial sample, it is related to microbial sample detection technical field, comprising: conveying component, sequencing component and sample culture dish, the sequencing component is installed on conveying component, the sample culture dish on conveying component is guided by sequencing component, so that it is neatly sorted;Pushing component and rotating stacking component, the pushing component is installed on conveying component, the sample culture dish neatly sorted on conveying component is pushed to rotating stacking component by pushing component, so that it is vertically stacked one by one. By placing sample culture dish on conveying component, and guiding it by sequencing component, so that it is neatly sorted, subsequently by pushing component, the sample culture dish neatly sorted on conveying component is pushed to rotating stacking component one by one and is stacked, so that it is vertically stacked one by one, realize automatic sorting and arranging of sample culture dish, reduce manual operation, improve efficiency.

A well counting device comprises an image acquisition unit that acquires one or more images of a plurality of wells capturing a target substance; and a counting unit that counts the number of wells emitting fluorescence among the plurality of wells for each of the one or more images acquired by the image acquisition unit, wherein the counting unit counts the number of wells emitting fluorescence, excluding a well that also emits fluorescence in adjacent wells, among the plurality of wells.

The invention discloses a method for rapidly counting the number of tobacco plants transplanted in a tobacco field. The method comprises the following steps: preparing a square rope frame material: measuring a rope with a required length by using a ruler; four bamboo poles are used for stretching a rope into a square rope frame, the area is marked as S1, a five-point sampling method is adopted, a first sampling point (2), a second sampling point (3), a third sampling point (4), a fourth sampling point (5) and a fifth sampling point (6) are arranged in the tobacco field (1) through the square rope frame, each sampling point completely covers three ridges or four ridges of tobacco seedlings, the number of the tobacco seedlings (7) in each sampling point is counted, and the number of the tobacco seedlings (7) in each sampling point is calculated. Correspondingly recording as a1, a2, a3, a4 and a5; obtaining the tobacco field area S of tobacco plants needing to be counted; and calculating the quantity X of tobacco seedlings transplanted in the tobacco field. The method can quickly and accurately verify the actual plant number after transplanting, and is simple in tool and low in cost.

To provide technology for accurately counting an object included in a laminate.SOLUTION: A counting method acquires image data on a lamination surface of a laminate, partitions the image data into a plurality of predetermined regions with respect to a lamination direction and a width direction, generates a signal profile indicating each thickness component in the predetermined region, acquires a thickness component estimated from each predetermined region, and counts an object, on the basis of the thickness component.SELECTED DRAWING: Figure 1

The utility model provides an adjustable vegetable seed counting device, which relates to the technical field of breeding devices and comprises a positioning plate, a lifting component is arranged on the positioning plate and comprises a servo motor, and the servo motor is fixed on the positioning plate. Seeds at the top of the suction cup can be adsorbed by starting a vacuum pump to be matched with the suction cup, then a fixed number of seeds are adsorbed, a movable block is driven by a rotating rod to rotate with a fixed rod as a shaft, the upper end of the movable block rotates by 180 degrees, and at the moment, an L-shaped connecting rod, a mounting plate, the vacuum pump and the suction cup all rotate by 180 degrees; when seeds are sucked, the seeds which are not sucked on the suction cup can fall into the shell, at the moment, the vacuum pump is closed, the material receiving disc is used for receiving the seeds falling from the suction cup, the suction holes in the suction cup are shielded through the baffle, and the number of the seeds sucked by the suction cup each time can be adjusted.

The organizer, particularly for home peritoneal dialysis, comprises a base body into which the end sections of two tubes are detachably inserted. These tubes open into a selection device, which is also detachably inserted into the base body. A tubular extension protrudes from the selection device, which has a disc with a rotatable pointer. This pointer allows either one of the two tubes to be connected to the tubular extension in order to either supply fresh dialysis fluid to the abdominal cavity of a patient through the tubular extension or to drain the dialysis fluid through the other tube after a residence time in the abdominal cavity. The organizer is characterized in that a measuring device is integrated into the base body through which the draining tube passes, and that the measuring device is suitable for measuring leukocytes in the dialysis fluid.

Conventional management systems have limitations in the types of data they can process using images, making them impractical. [Solution] A management system is provided comprising: a shooting device that photographs an environment including one or more objects to be managed and acquires video; a computer connected to the shooting device and having a display unit that displays the video, and equipped with an image processing unit that has a function to process the video, wherein the image processing unit can set one or more detection frames in the video, can specify a specific color for each detection frame, and for each detection frame, acquires the date and time when the specified specific color was displayed in the detection frame, and the date and time when the specified specific color was no longer displayed in the detection frame, and counts the number of objects to be managed that have the target color corresponding to the specified color.

To provide a standalone and user-friendly equipment counting device, method, and program. [Solution] The equipment counting device 1 includes a trained model 100 that is machine-learned to individually identify the areas of equipment in image data and output the identified equipment areas, an image data acquisition unit 110 that acquires image data to be counted using a camera 10, a counting range input unit 120 that outputs the image data to be counted to a display device 20 and allows the user to input the counting range using an input device 30, a counting processing unit 140 that counts the number of equipment areas to be counted that are identified by the trained model 100 and included in the counting range, and an output control unit 150 that outputs the counted number to the display device 20 and / or controls the output of the equipment areas to be counted superimposed on the image data to be counted to the display device 20.

The application provides a method and system for flow cytometry classification and counting based on density estimation, and the method comprises the following steps: step 1, reading an original flow data file to obtain a data set; step 2, standardizing the data set; step 3, automatically reducing the dimension of the data set by using a UMAP algorithm; step 4, analyzing the cell distribution based on a density method, and automatically clustering a cell population with uniform distribution by using a DBSCAN algorithm; and step 5, performing flow cytometry counting. The method adopted by the application has a faster processing speed and higher calculation accuracy, and has important guiding significance in cell detection.

A method and apparatus (1) for detecting passengers getting on and / or off a means of transportation (T), comprising: a) an acquisition step (P1), in which at least one image having at least one portion displaying at least one portion of a door of the means of transportation (T) is acquired; b) a processing step (P2), in which, based on the at least one image, it is determined whether the door is in a closed state or an open state; and a detection step (P3), in which, if the door is in the open state, at least one passenger getting on or off the means of transportation (T) is detected.

The present disclosure relates to a string bowling machine and, more particularly, to a string bowling machine provided with a hybrid pin fall detection mechanism for detecting fallen pins after ball impact. The pin fall detection system includes: a vision system positioned to detect a fallen pin; and a machine pin-string sliding detection system to detect movement of individual strings attached to individual pins and which is used in tandem with the vision system to accurately determine which pins of the individual pins have fallen after a throw of a bowling ball.