90results about How to "Fast count" patented technology

An automatic high-speed pill counting apparatus comprising: a cylindrical pill hopper 3 having a pill exit 10 and a center hole in a base plate 2; a rotational separative feeder 5 mounted in the cylindrical pill hopper and removably fitted on a shaft 6 borne in the center hole of the base plate, the feeder including an upper diametrically smaller portion 5b and a lower diametrically larger portion 5c having an external diameter approximate to the internal diameter of the lower portion of the pill hopper, a multiplicity of vertically through holes 5c being formed in the outer circumference of the lower diametrically larger portion and allowed to come into alignment with the pill exit for accommodating a plurality of pills vertically, the multiple vertically through holes 5d being enlarged at their lower portions, a ring-shaped slit 8 being formed in such a position in the outer circumference of the lower diametrically larger portion as to accommodate substantially one pill from the bottom; and a pill separating plate 11 mounted on the cylindrical pill hopper 3 above the pill exit and having an inwardly projected tip fitted loosely in the slit 8. The apparatus can count the pills quickly and accurately while preventing the inner wall of the cylindrical portion of the hopper from becoming dirty and the pills from being soiled or broken.

A system, method, and computer product for taking installation information off areas of digital plans for estimating and evaluating with predetermined material, labor rates, and costs. The system incorporates typical areas and typical groups for repeating objects in applications such as office buildings and hotels. The system automatically sums individual inputs and facilitates sharing, bidding, and evaluation of areas. Drawings are color coded to communicate to the operator what status is. Areas and conditions can be duplicated, manipulated, copied, pasted, grouped, reassigned, and adjusted to reuse in other parts or plans.

The invention provides an optical biosensor used for detecting surface cleanliness rapidly, and a testing method thereof. The sensor comprises a sampling stick, a detection cavity, a liquid storage tank and a reaction chamber. The sampling stick comprises a handle, a spacing ring, a sampling swab and a pointed casing; the liquid storage tank is provided with a plurality of uniform sealing pieces which are in fixed connection through screw threads, and an ATP extractant and a neutralization reagent used for neutralizing the remaining extractant are sealed therein; and the lateral wall of the reaction chamber allows light to pass through, and a sensitive reagent is fixed at the bottom part in advance. When in detection, firstly, the sampling swab of the sampling stick is used for daubing and sampling the surface of an object to be detected; then, the pointed casing is screwed downwards; the sampling stick is inserted into the sampling detection cavity; and with the consideration of the fluorescence strength during the detection of a sample by an optical device, the surface cleanliness of the object to be tested can be determined by comparing the light intensity value with the standard sanitary threshold value. The sensor provided by the invention has the advantages of simple operation, convenient use, rapid response and disposability, and can be widely applied to the object surface cleanliness real-time detection and the field hygiene supervision in industries, such as food processing, cosmetics production, medical service and the like.

The invention provides a bar counting method based on machine vision. The method comprises the steps of acquiring end face images of bars, pre-processing the images, calculating the relative displacement of the bars, analyzing a connected area, counting matched bars, determining the positions of steel bar splitting lines, judging whether the primary steel bar splitting result is accurate or not and the like. Pre-processing of the images comprises smoothing, binaryzation and morphological operation; and analysis of the connected area comprises the steps of splitting stuck bars into single bars and then analyzing the information of the single bars using the connected area again. The method based on machine vision technology realizes automatic counting of bars and judgment of the steel bar splitting result, effectively solves the problems of overlapping and crossing of bars, is high in speed and accuracy, small in modification of a production line and easy to maintain, and greatly reduces the manpower cost of enterprises in production.

The invention provides bar counting method and device, wherein the method comprises the following steps of obtaining quantity of bar end faces in a current frame image, and marking the bar end faces in the current frame image; obtaining moving speed of bars on a transmission chain; obtaining a position in the next frame image of the last bar end face in the current frame image according to the moving speed of the bars; obtaining the quantity of bar end faces not marked in the next frame image according to the position in the next frame image of the last bar end face in the current frame image; accumulating the quantity of the bars and marking unmarked bar end faces according to the quantity of the bar end faces in the current frame image and the quantity of the unmarked bar end faces in the next frame image; and marking bar end faces reaching preset values in the frame images with a parting line when the accumulated quantity of bars reaches the preset value so as to show that the quantity of bars before the parting line reaches the preset value. By the invention, bars can be accurately counted.

A method for photon counting imaging with improved high-rate counting performance includes the step of applying an instant retrigger capability with adjustable dead time in cells of the detector array and operates an apparatus using a layer of photo-sensitive material, an L×K array of photodetector elements arranged in the layer of the photosensitive material, an N×M array of readout unit cells, including amplifying elements and at least one readout unit cells for at least one photodetector elements. The readout unit cells are controlled by signal processing elements with each readout unit cell having internal signal processing elements to generate a discriminator output signal representing an amplified signal of the electron-hole pairs generated by an incident photon or a number of incident photons in the respective photodetector element. The discriminator output signal is generated by comparing the amplified signal with a predetermined threshold level and the discriminator output signal is generated whenever the amplified signal exceeds the threshold level.

The invention discloses an electronic component automatic counting method based on connected domain recognition. The method, by using a way of processing a picture containing the number of componentsby using MATLAB, converts components into connected domains in a picture, and calculates the number of the connected domains to determine the number of the components to be counted. The method includes steps of image acquisition, binarization processing, hole filling processing, morphological opening operation edge processing, morphological corrosion processing, morphological opening operation connected domain expansion processing, connected domain marking, and counting. The count output is the number of the components to be counted. After importing the image, the method starts the output result with a single key and has high efficiency and accurate counting results, thereby solves low efficiency, high labor intensity, and inaccurate counting results in the prior art.

The invention belongs to the technical field of garden plant intelligent monitoring, and discloses a garden nursery stock intelligent detection counting method based on UAV and a convolutional neuralnetwork, and the method comprises the steps: collecting garden seedling image data through an unmanned plane under the conditions of sufficient illumination, no wind or breeze; screening the acquiredimage data according to the picture definition, and deleting an unclear image or an image with too dark light; cutting the image data, and unifying image color representation at the same time; preprocessing the image data; utlizing a Mask RCNN deep learning framework based on image segmentation to construct a convolutional neural network oriented to garden nursery stock intelligent detection and counting; and carrying out garden nursery stock intelligent detection and counting by utilizing the constructed convolutional neural network for garden nursery stock intelligent detection and counting.According to the invention, unmanned aerial vehicle remote sensing and the convolutional neural network are combined to carry out intelligent detection and counting of garden nursery stocks, and theblank of domestic intelligent detection and counting of garden nursery stocks can be filled.

A particle counter for optically detecting an unconstrained particle of less than one micron in size suspended in a flowing liquid includes a sample chamber having a fluid inlet and a fluid outlet; a laser module producing a laser beam; a beam shaping optical system providing a multiple laser beam pattern in the sample chamber, and a CMOS optical detector located to detect light scattered by the particles in the sample chamber, the detector producing an electric signal characteristic of a parameter of the particle. The particle counter has a particle sensing area within the sample chamber in which the intensity of light is at least 10 Watts/mm<2>, the sensing area having an area of 0.5 square mm or more. The detector has thirty or more detector array elements. The laser optical system reflects and refocuses the laser beam to effect multiple passes of the same laser beam through the sensing area.

The invention discloses a rapid analyzer for bacterial detection. The analyzer comprises a light source, a touch display screen, a drawer, a camera, a camera lens and a wireless transmission controller; the light source emits light of a specified wavelength; the light source is vertically mounted above the drawer; the drawer is disposed on a side surface of the analyzer; a sample to be tested is placed in the drawer; the camera and the camera lens are both used to collect images; the camera and the camera lens are both connected with the wireless transmission controller and are used for transmitting images to the controller; and the controller analyzes the bacteria information of the sample to be tested according to the images. The analyzer supports a variety of detection methods, such asa test film method and an enzyme substrate method, and so that more than one detection method can be supported; and the standardized interpretation of bacterial detection results is realized through an image recognition technology.

A device for rapidly counting and dispensing pills and capsules in blister packs or cards is provided. A movable plate with apertures, a sizing guide and a template fit inside a housing. The sizing guide has apertures corresponding to a particular size of pill or capsule, allowing the desired number of pills or capsules to be counted in a first section of the housing. When the excess pills or capsules are removed, the counted pills or capsules are transferred to the template containing a blister pack by moving the plate and placing its apertures in register with the sizing guide apertures.

The invention discloses a prod counting system having RFID labels and a method thereof. A tail part of a prod is provided with a handle, and a cavity is disposed in the handle, and an RFID label is disposed in the cavity in a sealed manner. The counting system comprises a plurality of prod counting devices, and each of the prod counting devices comprises an RFID antenna, which is connected with an RFID reading-writing module. The RFID reading-writing modules are used for reading the RFID labels disposed on the dining tables in the RFID antenna communication areas and the storage information of the RFID labels in the prods of the dining tables. The RFID reading-writing modules are connected with a control module, and the control module is used to parse the numbers of the dining tables and the numbers of the prods of the corresponding dining tables according to the storage information of the RFID labels, and the numbers of the dining tables and the number of the prods of the corresponding dining tables can be acquired at last.

The invention discloses a laser bidirectional pedestrian counting method based on Gaussian process regression. The method comprises the following steps of detecting return distance information by a laser range finder and converting the distance data into height data; acquiring the prospect height of a detecting point through an operation with a background model; generating a sequential height map; extracting a pedestrian height agglomerate in the sequential height map; selecting the geometric and shape characteristics of the height agglomerate, adopting a Gaussian process regression method and calculating the number of pedestrians in the pedestrian height agglomerate; using a sliding window with a dynamic size to act on the projection of the pedestrian height agglomerate along a time axis; positioning the pedestrian head area by calculating the maximum point of a mean value curve; after the pedestrian head is positioned, judging the pedestrian entering exiting directions by using a ballot method. By means of the top laser range finder for obliquely illuminating and scanning, the laser bidirectional pedestrian counting method based on Gaussian process regression can achieve rapid and accurate indoor and outdoor pedestrian counting and direction judging with no contact with pedestrians.

The invention provides an immunohistochemical cell image cell nucleus segmentation and counting method, which comprises the following steps: acquiring a pathological cell image through a preset input data source; determining a display image on an image display panel according to the pathological cell image and an input data source; determining a cell nucleus segmentation area on the display image through graph drawing; performing color correction and noise reduction on the cell nucleus segmentation region, and determining an initial cell image; processing the initial cell image, obtaining a negative area mask, a positive area mask and a cell nucleus contour, classifying cell nucleuses detected in the initial cell image according to the cell nucleus contour, the negative area mask and the positive area mask, and determining classified cell nucleuses; and counting the classified cell nucleuses, determining a diagnosis index according to the classified cell nucleuses, and optimizing a display result according to the diagnosis index.

The invention relates to a round tablet counting device, in particular to a round tablet counting device for the pharmacy department. According to the round tablet counting device for the pharmacy department, collection is convenient after counting, and tablets fall off more thoroughly in the pouring-out process. The round tablet counting device for the pharmacy department comprises a first supporting frame and a second supporting frame, and the second supporting frame is connected to the rear side of the first supporting frame. According to the round tablet counting device, a feeding assembly is arranged, the feeding assembly is matched with a counting assembly, the counting assembly can rapidly count the tablets on the feeding assembly, and therefore the tablet counting efficiency can be greatly improved; and through cooperation of a loading assembly and the feeding assembly, the feeding assembly can be rapidly filled with the tablets through the loading assembly, and then manpower consumption can be greatly reduced.

The invention discloses an intelligent electronic weighing, counting and checking system which takes a single chip microcomputer as a core, adopts a wireless communication and weighing technology as ameans, uses a scientific algorithm as a basis, and comprises a PC terminal (general machine) and intelligent electronic weighing and counting devices which are scattered in all places (various warehouses or stores). The intelligent electronic weighing, counting and checking system is characterized by comprising a single-chip microcomputer, a code scanning and commodity identifying module, a camera, a weighing device, a touch display screen, a storage module, a wireless communication module and a battery module. The standard commodities counted by weight or number can be counted and checked ona same device. When the standard commodities counted by number is counted, the minimum packaging number of the commodities needing to be checked can be quickly and accurately counted. The checked data and checking process data are stored and filed in real time, and can be transmitted to other data management systems in the commodity flow link, or used for centralized processing.

The invention relates to a method for preparing a human chromosome 7 enumeration probe and preparation of a human chromosome 7 enumeration kit by using the same. A human chromosome 7 can be accurately and quickly counted by applying the human chromosome 7 enumeration probe and the corresponding kit.

The invention provides a rice seed counting method based on 5G communication and image recognition processing, and the method comprises the following steps: S1, installing a seed counting device which comprises a vibration flattening mechanism, an image collection module, an image analysis counting module, a 5G communication module and a display; S2, sampling, and putting a to-be-tested sample into a tray of the vibration flattening mechanism, so that the to-be-tested sample is uniformly paved without overlapping and adhesion; s3, photographing the to-be-detected sample in the tray by using the image acquisition module, and obtaining a picture; s4, transmitting the picture to the image analysis and counting module through the 5G communication module for image analysis and processing to generate a counting result; and S5, sending the counting result to the display through the 5G communication module to display the counting result. The method has the advantages of being high in accuracy and detection efficiency, simple in structure, low in cost, easy to operate and the like, facilitates practical application and is suitable for being widely popularized.

The present invention relates to the field of mechanical technology, in particular to a coin counting and packing machine, which includes a supporting device, and a sorting unit, a counting unit and a packing unit arranged sequentially from top to bottom, wherein: the sorting unit is fixed to the supporting device connected, the sorting unit is used to classify the coins into different categories; the counting unit is fixedly connected with the supporting device, and the counting unit is used to count the number of various coins and separate a certain number of coins; the packing unit is fixedly connected with the supporting device, and the packaging The unit is used to wrap coins separated by the counting unit. The coin counting and packaging machine provided by the present invention is composed of a classification unit, a counting unit and a packaging unit, and integrates functions such as automatic classification, counting and packaging, and can quickly classify, count and package mixed coins of different denominations. The work efficiency is greatly improved, and it has broad application prospects.

The invention relates to radiation detection with a directly converting semiconductor layer for converting an incident radiation into electrical signals. Sub-band infra-red (IR) irradiation considerably reduces polarization in the directly converting semi-conductor material when irradiated, so that counting is possible at higher tube currents without any baseline shift. An IR irradiation device is integrated into the readout circuit to which the crystal is flip-chip bonded in order to enable 4-side-buttable crystals.