45 results about "Person number" patented technology

An evaluation assistance device (1) according to the present disclosure comprises: a flow of people information acquisition unit (15) that acquires flow of people information indicating the flow of people in the surroundings of an advertising medium (3); a range acquisition unit (11) that acquires a visibility range, which is the range in which the advertising medium (3) can be seen and is defined as three-dimensional data; and a number of views calculation unit (12) that uses the visibility range and the flow of people information to calculate a number of views, which is the number of people who have viewed the advertising medium (3).

The purpose of the present invention is to provide a system and a method for measuring the number of persons in a room, which can accurately correct the error between the number of persons entering and exiting a floor and can accurately calculate the number of persons in the room in the floor. The present invention is provided with: a difference calculation unit (25) for calculating the difference between the number of entering people and the number of leaving people in a floor of a building on the basis of elevator operation data, said difference being the difference between the total number of entering people and the total number of leaving people in the floor of the building; a correction processing data calculation unit (26) for time series data of the number of people entering / leaving the floor, the correction processing data for correcting at least one of the number of people entering the floor and the number of people leaving the floor within a given time period being obtained on the basis of the difference from the total number of people entering the floor and the number of people leaving the floor; and an online calculation unit (30) for calculating the number of people in the room on the floor by correcting the number of people who have calculated the correction processing data among the number of people entering the floor and the number of people leaving the floor on the basis of the operation data of the elevator.

The present application relates to a kind of coal mine underground number of people statistics method based on two-part graph, belong to artificial intelligence field.The image of coal mine entry or underground key place is used as input data, yolov5 is used as the main network of target detection, interval time T is obtained, and two-part graph of personnel in the coal mine entry area is formed, Hopcroft-Karp algorithm is used to match personnel at T1 and T2 time, and the number of people entering and leaving is counted;The present application is based on yolov5 lightweight personnel detection model, can realize rapid iteration and implementation deployment in field application under the condition of meeting the prediction accuracy.

A system is provided.SOLUTION: This system is provided with a means for collecting basic information on inheritance from a user, a means for collecting information on the number of persons concerned in the inheritance and relations, a means for automatically generating necessary documents based on the collected information, a means for presenting the confirmation and correction of the generated documents to the user, and a means for monitoring and managing the progress conditions of the presented documents.SELECTED DRAWING: Figure 1

The present invention discloses a method for counting people in a wireless indoor environment based on complex domain channel state information, and belongs to the technical field of wireless communication number counting. In view of the problem that the existing work extracts features from the amplitude or phase difference of the CSI matrix, the features used are single, and the influence of the number of active people on the CSI cannot be fully reflected, and the accuracy is not ideal. The present invention extracts complex domain channel state information from Wi-Fi devices, and performs denoising preprocessing on the original complex domain channel state information from the amplitude and phase difference; extracts feature vectors from the preprocessed complex domain channel state information; the CSI obtained under different active number of people has obvious differences in the extracted features; the different feature vectors obtained are input into different CNN networks, and a weight layer is added to adjust the output of each network, and the output result of the weight layer is the counted number of people. Compared with the existing number estimation method based on CSI amplitude, the accuracy is improved by 8.2%.

An information processing apparatus, an information processing method, and an information processing program capable of acquiring the scale of the number of persons who contact information (reach) with high accuracy and a small processing load (for example, arithmetic operation amount) are provided. An information processing apparatus (1) includes: an individual reach acquisition unit (10) that acquires a first reach that is a scale of the number of persons who contact first information, a second reach that is a scale of the number of persons who contact second information,... and an N-th reach that is a scale of the number of persons who contact N-th information, when N is defined as a natural number of three or more; and a total reach acquisition unit (20) that acquires a total reach that is a union of the first reach, the second reach,... and the N-th reach, wherein the total reach acquisition unit (20) considers a component in which two of the first to N-th reaches have an overlapping relationship, while ignoring a component in which three or more reaches have an overlapping relationship, as an incremental reach that is a scale of the number of persons who do not contact one information and contact the other information.

This application discloses a method, apparatus, device, and storage medium for identifying population changes, applied in the field of population census. The method includes: acquiring initial height data of rented rooms collected by an ultrasonic device in the current period; performing density distribution analysis on the initial height data using a kernel density estimation algorithm to obtain a height distribution probability formula; fitting the height distribution probability formula into a height curve using a grid data cross-validation method; performing peak analysis on the height curve to determine the number and height of people in the rented room; and determining whether population change has occurred based on the number and height. This application utilizes density distribution analysis and grid data cross-validation to overcome the inaccuracies in detecting multiple people in existing technologies. Specifically, when multiple people are present in a rented room, this method can accurately detect the number and height of people in the room, and determine whether there has been a change in the number of people or population movement based on their height and number of people in the room.

The invention provides an indoor people counting method based on ultra wide band channel impulse response (UWB CIR), and belongs to the field of context awareness. According to the method, CIR signals in an indoor environment are collected, and a series of operations such as preprocessing, sample screening, difference and principal component analysis (PCA) are performed, so that a first principal component vector is extracted as a key feature; and finally, carrying out accurate statistics on the number of indoor people by utilizing a machine learning classifier. According to the method, the influence of noise and an indoor background environment can be effectively removed, key features related to the change of the number of people are extracted, and high-precision indoor number of people classification is realized through a support vector machine (SVM) classifier. The method is suitable for various scenes such as smart home, location service and public security, and has the advantages of high accuracy, strong anti-interference capability and good privacy protection.

The number of people who took a specific action after interacting with the target content will be determined, taking into account the circumstances at the time of interaction with the target content. [Solution] The information processing device of the present invention acquires, for each person who has come into contact with the target content, first location information indicating the location at the time of contact with the target content, associated with identification information assigned to the terminal used to come into contact with the target content, and also acquires behavioral information regarding actions after coming into contact with the target content, associated with identification information assigned to the terminal possessed by the person, identifies specific persons who have taken a specific action from among multiple persons, and outputs information corresponding to the number of specific persons, based on the first location information associated with the identification information of the terminal used by the specific person to come into contact with the target content and the behavioral information associated with the identification information of the terminal possessed by the specific person when they took the specific action, in correspondence with the location of the specific person at the time of contact with the target content.

The invention relates to a forensic physical evidence multi-person identity authentication method. The method comprises the following steps: S1, optimizing a short tandem repeat map mathematical model; s2, preprocessing the short tandem repeat map mathematical model to obtain sites containing information; s3, using a mean shift algorithm to process peak points in the atlas, converging to a density local maximum point, and outputting the number of modes as the preliminary estimation of the number of contributors of the locus; s4, judging the mixing ratio of each contributor by using a gradient descent algorithm; and S5, generating an initial vector depending on the mixing ratio according to the mixing ratio, performing sliding matching by keeping the contribution amount of the contributor unchanged, finding an allele size value suitable for genome information contributed by each contributor, and generating a genotype by searching an id corresponding to the nearest allele size in an original map. By means of the design, DNA information of multiple persons can be processed, and contributor composition and proportion of all components in mixed data are analyzed.

This application provides a method, electronic device, storage medium, and program product for detecting the number of people. The method includes: acquiring a visible light image and an infrared image of a region to be identified; inputting the visible light image and infrared image into an image feature determination model to output a fused feature map, wherein the fused feature map includes N feature points; matching a target feature point in the fused feature map with at least one preset head count description vector to obtain a target head count description vector corresponding to the target feature point, wherein the target feature point is any feature point; determining the number of people corresponding to the target head count description vector as the number of people corresponding to the target feature point; labeling the fused feature map with the number of people corresponding to each feature point to obtain a fused density map; and determining the number of people based on the fused density map. This method reduces the influence of noise in the image and solves the problem of low accuracy in current personnel counting.

The invention provides a people counting system and a people counting method, and the system comprises a PIR sensor which is used for detecting whether a person passes through a preset area or not, and transmitting a trigger signal when detecting that the person passes through the preset area; the controller is awakened when the PIR sensor sends out the trigger signal, further awakens the event camera, and counts the number of wire passing people according to event data collected by the event camera; the event camera is used for collecting event data after being awakened; the method for counting the number of people passing the line comprises the following steps of: S1, decoding an accumulated event within a preset time length to generate a plurality of frames of original images; s2, identifying a target in the original image and performing trajectory tracking; s3, for each effective area, performing trajectory tracking by using a central point, and counting the number of people passing the line according to the obtained trajectory; according to the technical scheme, people counting is carried out by combining the PIR sensor and the event camera, low power consumption is achieved, and high accuracy is achieved.

The invention relates to a multi-connected space real-time people number estimation method and system. The method comprises the following steps: constructing a mathematical model based on a target area; in the mathematical model, dividing at least two spaces, dividing a region communicating the two spaces into channels, setting direction attributes of the channels, and constructing a directed communication relation graph according to the spaces and the channels; and identifying the target personnel passing through all the channels and the advancing tracks of the target personnel, and counting the real-time number of people in each space according to the directed communication relation graph. The system is supported by a hardware carrier and applies the method. The problem that the global number of people in the multi-connected space cannot be monitored and estimated in real time in the prior art is effectively solved.

To provide an information processing system, an information processing method, and a program configured to estimate the appropriate number of human resources in each of a plurality of organization units constituting an organization.SOLUTION: In an information processing system, a client device includes at least one control unit. The control unit acquires internal information of an organization, and estimates the number of persons in each of a plurality of organization units constituting the organization, based on the internal information. The control unit determines a sufficiency rate of the number of persons in each of the organization units constituting the organization, based on the appropriate number of persons and the number of persons belonging to each of the organization units constituting the organization. The control unit outputs a screen including information indicating the sufficiency rate.SELECTED DRAWING: Figure 4

To provide a security guard reservation system suitable to reflect desire of a client.SOLUTION: A security guard reservation system: registers a plurality of periods during which a security company can dispatch a security guard, an area and dispatch information related to the number of persons who can be dispatched about each of the plurality of periods in association with security company information; acquires request information related to the area in which a contractor requests dispatch of the security guard; and presents the plurality of periods during which the security guard can be dispatched and the number of persons who can be dispatched about each of the plurality of periods, on the basis of the dispatch information corresponding to the area related to the acquired request information. The security guard reservation system: acquires the request information related to the period and the number of persons set by the contractor in the range of the presented period and the number of persons; registers the acquired request information in association with contractor information; and matches the security company and the contractor suitable to the period, the area and the number of persons related to the dispatch information and the request information, on the basis of the dispatch information and the request information.SELECTED DRAWING: Figure 12

The invention relates to an individual interpersonal contact number prediction method, system and device and a storage medium. The method comprises the following steps: obtaining questionnaire survey data of individual resident travel activities and interpersonal contact; extracting individual attribute features and travel activity features of individual residents from the questionnaire survey data; constructing and training an individual interpersonal contact mode prediction model by applying a machine learning algorithm based on the demographic features and the travel activity features; and performing individual interpersonal contact number prediction by using the trained individual interpersonal contact mode prediction model, and outputting an individual interpersonal contact number prediction value. According to the method, the dynamic travel activity features and the static demographic attributes are fused, and machine learning modeling is utilized, so that refined individual behaviors can be captured, the number of individual contact persons can be more reliably predicted, and the assessment accuracy of the disease transmission risk is improved.

The invention discloses a recognition method, device and equipment for personnel abnormal behavior monitoring and a medium, and relates to the technical field of camera monitoring. The method comprises the following steps: acquiring a shot image and preprocessing the shot image; detecting the preprocessed image through a head counting algorithm, identifying position information of all persons in the image, and generating a unique person number for each person; inputting the preprocessed image and the number and position information of the personnel into a large model, analyzing the personnel in the image by the large model according to at least one set problem, judging whether an abnormal behavior exists or not, and returning the number and position information of the person corresponding to the personnel judged to have the abnormal behavior; and drawing an annotation graph according to the figure number and the position information provided by the large model. According to the identification method and device for monitoring the abnormal behaviors of the personnel, the equipment and the medium provided by the invention, machine room deployment and a private line network are not needed, the hardware configuration requirement is low, and meanwhile, the dependence on high-quality annotation data is greatly reduced.

The present disclosure relates to a person detection device, a method, and a computer program product. The person detection device has: a detection section (31) that detects one or more person regions from an image; a consolidation section (33) that consolidates two or more person regions into one consolidated person region in a case where the two or more person regions overlap each other by a predetermined amount or more; a skeleton detection section (34) that determines a skeleton of an undetermined and foremost person among one or more persons included in the consolidated person region by inputting the consolidated person region to a skeleton detector; a mask section (35) that updates the consolidated person region by masking a region showing the foremost person within the consolidated person region based on the skeleton of the foremost person; and a repetition control section (36) that repeats the processing of the skeleton detection section and the mask section for the updated consolidated person region until a skeleton of a person is not detected, and counts the number of skeletons detected from the consolidated person region as the number of persons represented in the consolidated person region.

A multi-person attitude estimation method based on a commercial WiFi signal comprises the following steps: firstly, building a channel state information acquisition platform by using a transceiver, carrying out amplitude and phase preprocessing on data, then outputting a feature tensor through a data fusion module, and inputting a deep convolutional neural network to extract a person number feature and an attitude feature; and finally, dynamically controlling the number of human skeleton points in the posture branch by using the output result of the people number identification branch to realize posture estimation under different people numbers. According to the method, the postures of multiple persons can be estimated at lower cost, higher recognition accuracy can be obtained, and the method has certain application value for intelligent safety monitoring and the like under the condition of multiple persons indoors.

The invention relates to the technical field of people counting, and particularly provides an in-out people counting method and device, a storage medium and computer equipment. Under the condition that an intersection point is generated between the moving track of the target person and the virtual separation line, taking a video frame corresponding to the intersection point as a line-crossing frame, taking the position of the target person in the first N video frames of the line-crossing frame as a position before line-crossing, and taking the position of the target person in the last M video frames of the line-crossing frame as a position after line-crossing; and direction consistency judgment is carried out on the target personnel according to the N positions before line crossing and the M positions after line crossing. And when the target personnel are respectively located in different place areas before and after line crossing, and the target personnel are located in the second area continuously in multiple frames after line crossing, the number of people entering and exiting is triggered to be updated. Therefore, invalid line crossing behaviors caused by the conditions of edge wiping of the personnel identification frame, rapid turning-back after line crossing, repeated entering and exiting in a short time and the like can be filtered, and accurate statistics of the number of people entering and exiting is achieved.

To determine the appropriate number of human resources in each of a plurality of organization units constituting an organization.SOLUTION: In an information processing system, a server device and a client device are connected to communicate with each other over a network. The server device receives, from the client device, a request to display a sufficiency rate display screen based on a predetermined operation, to obtain internal information of an organization, estimates the appropriate number of persons in each of a plurality of organization units constituting the organization based on the internal information, determines a sufficiency rate of the number of persons in each of the organization units constituting the organization based on the appropriate number of persons and the number of persons belonging to each of the organization units constituting the organization, and outputs a screen including information indicating the sufficiency rate to the client device.SELECTED DRAWING: Figure 4

The present invention makes it possible to accurately predict, when a customer arrives at a certain point using a first transportation facility, the demand for a second transportation facility available to the customer from that point. This demand prediction device comprises: a people arrival count acquisition unit that acquires a people arrival count, which is the number of people who arrive at a prescribed point using a first transportation means, from reservation information of the first transportation means; an attribute information acquisition unit that acquires attribute information of the people who arrive at the prescribed point; and a prediction unit that predicts, at the prescribed point, the demand for one or more second transportation means available to the people who arrive at the prescribed point, on the basis of the people arrival count and the attribute information.

The invention provides an open laboratory safety management system based on people number state recognition, and relates to the technical field of intelligent security and protection, and the system comprises a video collection subsystem which deploys a wide-angle camera to output a high-definition video stream; the dynamic people number analysis unit counts the number of people in real time through an improved convolutional neural network, and generates a vacancy trigger instruction when the people return to zero; the non-contact equipment monitoring array adopts a Rogowski coil current sensing and machine vision dual-mode technology to acquire the equipment state; the security decision control center responds to the vacancy instruction to scan the equipment state and generate an alarm signal; and the multi-mode communication gateway distributes alarms through the dual-channel wireless transmission module. Equipment inspection is automatically triggered in a vacant state, and the defect of missing inspection of traditional access control is eliminated; the current and vision fusion monitoring avoids the contact transformation risk; non-human body interference is accurately eliminated through a dual-threshold target filtering algorithm; the risk grading alarm mechanism dynamically adapts to the equipment danger grade; millisecond-level seamless switching between dual-mode communication and lithium battery backup is realized.

The present application provides a kind of crowd determination method, device, equipment and storage medium, the method comprises: obtaining the current frame image for target area;Determine the motion block corresponding to each pedestrian in each row in current frame image;In the case where the number of motion block in current frame image is less than the actual number of people of target area at last time, obtain the spatial position weight of target pedestrian;Target pedestrian is the pedestrian that exists in target frame image and does not exist in current frame image, and the difference between target frame image, which is the image with minimum difference from the collection time of current frame image, and current frame image is minimum;Spatial position weight is used to represent the occlusion relationship between target pedestrian and static element in target area;Based on the number of motion block and the number of target pedestrians whose spatial position weight is greater than preset weight, determine the number of people in target area.The present application can improve the accuracy of area number determination.

This invention relates to the field of data processing, and more particularly to a method, apparatus, computer equipment, and storage medium for detecting pedestrian flow. The method includes: acquiring current facial profile data of a target location and acquiring historical facial profile data of the target location; determining the real-time number of people in the target location based on the current facial profile data; determining the profile duplication rate based on the current facial profile data and the historical facial profile data; when the profile duplication rate is less than or equal to a preset duplication rate threshold, acquiring the location's capacity threshold and the number of people flowing through the target location at entrances and exits, and determining the number of people allowed to enter the target location based on the real-time number of people, the location's capacity threshold, and the number of people flowing through. This invention determines whether to determine the number of people allowed to enter based on the number of people flowing through entrances and exits by using the profile duplication rate. The profile duplication rate takes into account population mobility, which can improve the accuracy of people detection.

The invention discloses a high-speed rail platform safe riding system and method, and belongs to the technical field of high-speed rails, and the method comprises the following steps: obtaining passenger flow information, the passenger flow information comprising theoretical boarding people number and theoretical getting-off people number; determining predicted boarding people number and predicted getting-off people number based on the passenger flow information; determining a predicted boarding luggage amount based on the predicted boarding number of people; predicting a get-off luggage amount based on the predicted get-off number of people; determining a space equivalent based on the predicted boarding number of people, the predicted getting-off number of people, the predicted boarding luggage amount and the predicted getting-off luggage amount; and determining the opening mode of the platform door based on the space equivalent, the first equivalent threshold and the second equivalent threshold. When the passenger flow volume is large, the situation that passengers walk in the length direction of the train and get on and off the train normally is influenced can be avoided, the passenger flow is separated, the probability of stampede events when the passenger flow volume is dense can be effectively reduced, and therefore the effect of improving the safety coefficient is achieved.

A headcount estimation system (1001) according to the present disclosure comprises an image capture unit (11), an image processing unit (21), a congestion level evaluation unit (22), and a correction unit (23). The image capture unit (11) captures an image of a prescribed area. On the basis of the image captured by the image capture unit (11), the image processing unit (21) calculates the number of people in the prescribed area and the number of people in each of a plurality of sections obtained by dividing the prescribed area. The congestion level evaluation unit (22) evaluates the level of congestion in the prescribed area. The correction unit (23) identifies the section to be referred to on the basis of the level of congestion, and corrects the number of people in the prescribed area on the basis of the identified section.

The present application provides an elevator device which, under certain conditions, allows a hall call registration for a single elevator other than a single elevator stopped at a hall, thereby improving the transportation efficiency. As information for relaxing the restriction on the hall call period of the next single elevator, the congestion degree of the certain single elevator is calculated, and the hall call registration is allowed as necessary, i.e., the hall call operation determination control is performed. In the group management control device (20), an average weight of an adult is used as one person, a load-person number conversion table is prepared in advance, and the number of persons is calculated based on the load detected by the load detection sensor (36).

A system includes non-transitory computer-readable storage media configured to store instructions and processors communicatively coupled to the non-transitory computer-readable storage media. The processors may execute instructions, which may cause the system to perform operations. The operations may include obtaining first data associated with a person location, where the first data may be a subset of a collection of person location data. The operations may also include obtaining second data associated with one or more displays in a venue, where the second data may be a subset of a collection of display data. The operations may further include determining a first weight corresponding to the first data relative to the collection of person location data and a second weight corresponding to the second data relative to the collection of display data. The operations may also include obtaining an estimate of the viewership data using the first data and the second data.