51results about "Counting objects with random distribution" patented technology

To provide a method of counting the number of round bars allowing for correctly counting the number of round bars irrespectively of the position of a rest surface.SOLUTION: A method of counting the number of round bars includes: acquiring height data in an upper-half outer periphery of a plurality of round bars arrayed at a constant interval in an array direction; taking a highest position of obtained height data as a reference position and identifying a position where height becomes minimal or minimum respectively on positive and negative sides in the array direction within a predetermined range determined from a diameter of the round bar with reference to the reference position as a boundary; adding a range from a negative minimal or minimum position over to a positive minimal or minimum position through the reference position, as an existence range of one round bar, to the number of round bars; taking a highest position of remaining height data excepting height data present in the existence range of the one round bar as a next reference position and identifying a position where the height becomes minimal or minimum on positive and negative sides respectively in the array direction within a predetermined range determined from the diameter of the round bar with reference to the next reference position as a boundary; and adding the same as a next existence range of a round bar to the number of round bars into calculation of the number of round bars.SELECTED DRAWING: Figure 3

A hole counting device is provided with: an image acquisition unit that acquires one or more images obtained by capturing an image of a plurality of holes that capture a target substance; and a counting unit that counts the number of fluorescent holes among the plurality of holes for each of the one or more images acquired by the image acquisition unit, and that counts the number of fluorescent holes by excluding fluorescent holes among adjacent holes among the plurality of holes.

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.

Method and apparatus (1) for detecting passengers getting on and / or getting off a means of transportation (T), comprising a) an acquisition phase (P1), wherein at least one image is acquired which comprises at least one portion depicting at least one portion of a door of said means of transportation (T), b) a processing phase (P2), wherein it is determined whether said door is in a closed state or in an open state on the basis of said at least one image, and a detection phase (P3), wherein at least one passenger getting on or getting off said means of transportation (T) is detected when said door is in the open state.

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 high-precision predatory mite counting device comprises a base, a temperature box, a stereoscopic microscope, a counting structure, a walking column and a dismounting assembly, a positioning seat is driven to move through cooperation of a moving motor, a threaded rod, a threaded ring and a threaded block, so that the counting structure enters the temperature box and is stored in the temperature box with the environment temperature being 36 DEG C for 2 h, and then the predatory mites are counted. After all the predatory mites climb out and are limited by an insect sticking plate to move, the counting difficulty is reduced, a counting plate is moved out of the temperature box through a moving motor, a dismounting column drives a reset column to move, the reset column drives a reset plate to move, and the reset plate drives a limiting column to move and extrudes a reset spring; the relative positions of the limiting columns and the limiting holes are controlled, so that the positioning seat and the dismounting seat are quickly dismounted, the counting structure is conveniently moved to the position of the stereoscopic microscope, manual counting one by one is carried out under the stereoscopic microscope, and the working efficiency is improved.

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.

Exemplary methods and systems for identifying suspect cytological specimens containing target cells are disclosed. One exemplary method includes acquiring a first image associated with a first region of the cytological specimen through a first objective lens, acquiring a second set of one or more images associated with a first subregion of the first region through a second objective lens, identifying a first number of target cells, and determining whether the first number of target cells is greater than a threshold number. If the first number of target cells is greater than the threshold number, the exemplary method prompts a warning. If not, the exemplary method further includes acquiring a third set of one or more images associated with a second subregion through a second objective lens, and identifying a second number of target cells associated with the second subregion.

The invention relates to a neutron spectrum and proton spectrum distinguishing measurement method and device based on a multi-ball measurement system, and the method comprises the steps: obtaining a current neutron and proton spectrum through employing an SAND-II few-channel spectrum unfolding algorithm based on a neutron and proton response function matrix of the multi-ball measurement system and an original count obtained through a to-be-measured field test; obtaining an original deviation between the measured value and the calculated value; reducing the count of each channel of the current neutron spectrum according to a set proportion, and calculating based on the SAND-II few-channel spectrum unfolding algorithm again to obtain a new proton spectrum, a new proton count, a new neutron spectrum and a new neutron count, and obtaining a new deviation between the total count and the original count; obtaining a plurality of deviations by changing the set proportion for multiple times; and finally, taking the neutron spectrum and the proton spectrum corresponding to the minimum value in all the deviations as measurement results. According to the invention, the neutron and proton real-time distinguishing measurement with relatively wide energy range and relatively high precision in a high-altitude region of the earth or in other neutron-proton mixed fields is realized.

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 invention discloses a medicine bottle counting method, system and device and a computer readable storage medium. The method comprises the following steps: acquiring a preset target medicine bottle image; performing clustering processing on the target medicine bottle image to obtain clustering center data; calculating intersection-to-union ratio data corresponding to the target medicine bottle image according to the clustering center data; performing comparison processing on a preset threshold value and the intersection-to-parallel ratio data to obtain a comparison result; and counting the medicine bottles corresponding to the medicine bottle scatter points in the target medicine bottle image according to the comparison result. According to the embodiment of the method, the medicine bottles can be counted through clustering processing of the target medicine bottle images, and the accuracy of counting the medicine bottles is improved.

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 display device is used for a number-of-fish counting system for counting the number of fish. The display device is provided with a display unit that displays a plurality of selectable instruction items on a main screen. The plurality of instruction items include a recording instruction item that instructs a processing device of the number-of-fish counting system to execute or stop recording of video of fish, and an analysis instruction item that instructs the processing device to count the number of the fish by analyzing the fish on the basis of the recorded video.

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 embodiment of the invention provides a material counting and positioning method and device, a sample image comprises a plurality of materials and marks the areas where the materials are located, and the sizes of the areas can reflect the sizes of the materials to a certain extent, so that the size features are added in the training process, and the training efficiency is improved. And the target material detection model can be compatible with materials of different sizes. Meanwhile, the marked areas are not overlapped, so that the target material detection model can learn how to distinguish the materials and the gaps between the materials in the training process, the confidence coefficient of the materials in the obtained confidence coefficient graph is relatively high, and the confidence coefficient of the gaps between the materials is relatively low; therefore, each connected domain formed by the pixel points with the pixel values larger than the confidence threshold value in the confidence map can be regarded as the area where the material is located, namely, the number of the connected domains is the number of the materials, the possibility that multiple materials are wrongly recognized as one material can be effectively reduced, and then the counting accuracy is improved.

To provide an image processing device and a method which can estimate a collection form of a collection object, and estimate a quantitative value of the collection object on the basis of the collection form.SOLUTION: An image processing device 100 which estimates a quantitative value of a collection object in an image comprises: an input unit 201 which accepts an input image; a collection object detection unit 202 which detects the collection object in the input image; a collection form estimate unit 203 which estimates a collection form of the detected collection object; and a quantitative value estimate unit 204 which estimates the quantitative value of the detected collection object on the basis of the estimated collection form.SELECTED DRAWING: Figure 2

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.

Provided in the embodiments of the present application are a material counting method, a material positioning method, and an apparatus. A sample image comprises a plurality of materials and the areas where the materials are located are labeled, and the size of an area can reflect the size of a material to a certain extent. Therefore, size features are added in a training process, enabling a target material detection model to be compatible with materials of different sizes. Moreover, since the labeled areas do not overlap each other, the target material detection model can learn how to distinguish materials and gaps between the materials in the training process. Therefore, in an obtained confidence map, the materials have a higher level of confidence, while the gaps between the materials have a lower level of confidence, and thus each connected component formed by pixel points with pixel values greater than a confidence threshold value in the confidence map can be regarded as the area where one material is located, that is, the number of connected components is the number of materials. Therefore, the possibility of mistakenly recognizing a plurality of materials as one material can be effectively reduced, and thus the accuracy of counting is further improved.

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.

A soaking sheet quantity detection device relates to the technical field of quantity detection devices and comprises a base, an electronic scale body is fixed on the base, a positioning frame is placed on the electronic scale body through a positioning structure, a collection box is horizontally arranged in the positioning frame in a reciprocating sliding mode, and a counting camera located above the collection box is vertically lifted above the base. According to the utility model, the problems in the prior art that errors are often caused by manual counting for product quantity accounting, the shipment quantity is not enough, and a part of more products can be packaged before each time of packaging and shipment are solved; and after an operator pours the soaking pieces into a collection box, the cooling pieces are easy to overlap, the operator is not easy to count the regrouped soaking pieces, and the counting efficiency is reduced.

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.

A cyclone separation system (1) for separating live insects, comprising a discharge nozzle (5) having a discharge end (7) comprising a discharge channel (8) for discharging live insects from the cyclone separation system (1) when in use. The discharge channel (8) comprises primary air injection channels (11) arranged to provide an injected upstream air flow (F) in an upstream direction (U) back into the discharge nozzle (5) for stopping discharge of live insects. The discharge nozzle (5) comprises an inner wall part (12) extending between an intake end (6) of the discharge nozzle (5) and the discharge channel (8), wherein the inner wall part (12) comprises elongated secondary air injection channels (13) extending from the discharge channel (8) in the upstream direction (U), wherein the secondary air injection channels (13) are arranged to provide an injected lateral air flow (V) along the inner wall part (12).