33 results about "Missing person" patented technology

The invention discloses an intelligent rescue method for lost old people based on a PTS algorithm and an RF algorithm. The method comprises the steps that S1, family members of the lost old people rapidly record cases; s2, the command platform carries out task scheduling, carries out priority calculation on missing information of the old people according to a PTS algorithm, and sends rescue tasks to volunteers according to priorities; s3, the volunteer checks the current location, the position information of other volunteers and the thermodynamic diagram of people searching on the map according to the rescue system, and plans a people searching route, and S4, if a suspected lost person is found, the suspected lost person is photographed and uploaded, the suspected lost person is automatically compared with the lost person in the photo library, the information of the elder with the matching degree higher than 80% is synchronized to the family member end and the volunteer end, and the elder can search for the volunteer. After confirmation, the search and rescue task can be judged to be completed; s5, if abnormity occurs during search and rescue, the background can check task positioning and rescue details at any time, and rescue resources are manually adjusted and allocated; and S6, after the rescue task is finished, the system integrates, counts and stores related information, and subsequently assists prediction of the next search and rescue task through an RF machine learning algorithm.

To provide a surveillance system and a method for surveillance that can efficiently collect images and other information useful for searches for missing persons and investigations of incidents and accidents.SOLUTION: As a surveillance center that conducts surveillance of a preset region, the system includes: a drive recorder for capturing images of surroundings of a mounted vehicle and storing the captured images, or a communication unit for communicating with the drive recorder and a communication terminal capable of transmitting and receiving data with the drive recorder; a location information processing unit for collecting a travel trajectory or a position of the communication terminal or the drive recorder; and an analysis unit for, when a surveillance image capturing a surveillance target location, mobile object, or person within the region is required, determining, based on the travel trajectory or the position obtained by the location information processing unit, the drive recorder of a vehicle that is likely to provide the surveillance image, and collecting, via the communication unit, the captured images stored in the determined drive recorder, analyzing the collected images, and thereby obtaining information regarding the surveillance target location, mobile object, or person.SELECTED DRAWING: Figure 2

The invention discloses a distributed intelligent processing system and method containing an SRAM (Static Random Access Memory), relates to the technical field of lost person searching, and aims to solve the problems of low efficiency and low reliability when lost persons are searched in the prior art. The system comprises a plurality of Internet of Things cameras, a plurality of edge computing nodes, a plurality of mobile terminals and a cloud computing center, each Internet of Things camera is used for transmitting acquired and processed initial personnel information to the edge computing node of the corresponding area; each edge computing node is used for screening the initial personnel information to obtain first suspected lost personnel information and transmitting the first suspected lost personnel information to the cloud computing center; each mobile terminal transmits acquired and processed second suspected lost person information to the cloud computing center; and the cloud computing center is used for processing the information stored in the storage module to search the target lost person. The method and the device are used for improving the searching efficiency and the reliability of searching the lost person.

Embodiments of the present application provide an information processing method, device and equipment for emergency rescue, and a storage medium, and relate to the technical field of information processing. The information processing method for emergency rescue comprises the following steps: obtaining personal information of a missing person, wherein the personal terminal of the missing person comprises a user identification card integrated with a Beidou satellite navigation positioning system; generating an emergency rescue scheme according to the personal information of the missing person, wherein the emergency rescue scheme comprises a rescue range; and sending emergency rescue information to personal terminals in the rescue range through the Beidou satellite navigation positioning system. The information processing method for emergency rescue can achieve the technical effect of improving the efficiency of emergency rescue.

1. Name of this design product: Graphical user interface for displaying missing person information on an electronic device. 2. Purpose of this design product: for use in an electronic device. 3. The key design point of this design product lies in the graphical user interface content on the screen. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. Due to the conventional design of the electronic equipment, other views are omitted. 6. Designate Design 1 as the base design. 7. Purpose of the graphical user interface: In the application interface, information about missing persons in the surrounding area is displayed, and users can click on the person information in the interface to view details. The gray frame part in the graphical user interface of this design product is the content screen, for example, the gray frame part is a picture.

This application discloses a smart home system based on security technology, relating to the fields of smart home and smart elderly care technology, including: a terminal acquisition layer, a network edge computing layer, a cloud platform layer, and an interactive application layer; the terminal acquisition layer integrates elderly care wristbands, environmental sensors, fall radar, smart cameras, door magnets, positioning tags, and companion robots; the cloud platform layer deploys a data fusion engine, an AI big data model, a video analysis module, and a positioning service engine. This invention achieves functions such as health anomaly monitoring and medication reminders, environmental safety early warning and automatic control, anti-wandering voice reminders, dangerous area protection, real-time positioning of people and objects, multimodal fall detection, voice control of home appliances and monitoring of abnormal electricity use, intelligent object search, AI big data model video retrieval, and community-linked missing person search. Through multimodal data fusion and AI big data model-driven interaction, it achieves proactive smart monitoring of the elderly's lives, improving the level of intelligence in elderly care monitoring and the user experience.

A system and method for conducting a search for a search subject. The system and method includes receiving a request to initiate a search for a search subject having an associated mobile device, the mobile device having a mobile telephone number. A search record is created and associated with the mobile telephone number and the location information is forwarded to one or more search agencies. The method includes communicating with the search subject and obtaining search information for the search subject; and communicating the search to the one or more search agencies.

The invention provides a method for predicting positions of lost persons under mountain torrent and debris flow disasters, and belongs to the field of disaster rescue. The method comprises the following steps: acquiring multi-source data fusing a thermal infrared image, a radar image and a terrain; feature extraction is carried out on the acquired multi-source data, so that the positions of the lost persons under the mountain torrent and debris flow disasters can be identified in a multi-source mode from person tracks, human body heat radiation and human body skeleton detection; constructing a comprehensive analysis function based on the extracted features; and based on the comprehensive analysis function, obtaining predicted values of different positions at the time t, and completing prediction of the position of the lost person. The invention aims to solve the problems of low accuracy and low efficiency of the existing lost person position prediction method.

The invention discloses a body source identification method and system based on 3D dental image registration comparison, and the method comprises the steps: S1) image collection: collecting an initial dentition 3D image, and determining an identification scene in combination with the natural wear degree of the dentition; s2) image preprocessing: preprocessing the initial dentition 3D image to obtain a 3D dental image to be registered; s3) image registration: registering the 3D dental image to be registered, and calculating a global or local feature registration result; and S4) body source identification: comparing a registration result with a preset threshold value, and outputting a body source identification conclusion in combination with an identification scene. According to a specific identification scene, global and local feature registration results are comprehensively considered, 3D dental image information is fully utilized, and a new effective means support is provided for identification of identity of the same twin and body source identification of finding missing population and unknown corpses, wreckage or residual teeth.

The method of the embodiment of the present invention proposes a drone rescue method and system based on deep learning, wherein the management server receives the data information of the missing person sent by the mobile terminal, and sends the target tracking task to the drone group; the drone group takes aerial photos along the preset route; the management server compares and identifies the aerial data, and sends the identified suspected image to the drone group; the drone group takes secondary aerial photos and locates the suspected target; the management server sends the data to the mobile terminal. The present invention generates the activity range of the missing person by setting the initial position assessment, and then completes the aerial coverage of the activity range through the coordination of the drone group, and then accurately identifies the target from the aerial image through the combination of recognition model and manual work, which is accurate, efficient and convenient, and avoids the problems of high cost, time consumption and low efficiency in manual search.

The application provides a method for predicting the position of missing personnel under debris flow disaster, and belongs to the field of disaster rescue. The method comprises the following steps: obtaining multi-source data fused with thermal infrared image, radar image and terrain; performing feature extraction on the obtained multi-source data to detect the position of missing personnel under debris flow disaster from the multi-source identification of personnel trajectory, human body heat radiation and human body skeleton; constructing a comprehensive analysis function based on the extracted features; obtaining the prediction value of different positions at time t based on the comprehensive analysis function, and completing the prediction of the position of missing personnel. The application aims to solve the problems of low accuracy and low efficiency of the existing method for predicting the position of missing personnel.

The present invention provides a powder composition that enables efficient and simple support for searching for or tracking missing persons, such as elderly people who wander or lost children, and particularly a powder composition for supporting the search for or tracking of missing persons. [Solution] The powder composition 1 of this invention contains porous particles and a fragrance component supported on the porous particles, wherein the porous particles, as primary particles, have one or more macropores and one or more micropores smaller in size than the macropores, and the fragrance component is selected from substances that have a boiling point of 150°C or higher and are liquid at 10°C to 30°C.

An attribute-based missing person tracking apparatus and method are disclosed. The attribute-based missing person tracking apparatus according to an embodiment of the present invention comprises: a me

An embodiment of the present invention discloses a method, device, equipment and medium for crowd density statistics based on key point detection. The method includes: obtaining image data; processing the image data to obtain a sample map; inputting the sample map into a crowd density statistics model for head probability prediction to obtain a head probability map; and calculating the number of people according to the head probability map. The present invention not only relies on head key points, but also relies on key points of other parts of the human body for recognition, increases the model supervision information to improve the representation ability of the human body density feature map, accelerates the model training convergence speed, facilitates crowd density prediction, and solves the problem of missing person statistics due to partial occlusion of human body parts. In addition, the correct rate of the model for crowd density map prediction is improved through multi-feature fusion and attention mechanism.

The invention discloses a scenic spot people searching management method based on pattern recognition, and relates to the technical field of scenic spot management, and the method comprises the following steps: carrying out the on-site deployment of face recognition equipment; real-time monitoring and intelligent retrieval are carried out in the scenic spot; linkage tracking is carried out through a radar and a dome camera; performing playback and deep analysis on the historical video; people searching information is published, and linkage response is carried out; according to the method, the snapshot threshold value, the snapshot interval and the storage period are set, high-quality face images can be efficiently obtained, invalid data are reduced, image quality inspection is achieved by automatically filtering blurred, side face and low-resolution images and reserving front face high-definition images, the accuracy of subsequent recognition is improved, and the recognition efficiency is improved. The cameras and the scenic area are associated through the marking device, the GIS map is fused, the visual management and rapid positioning capability is improved, the cameras are classified according to the areas, batch configuration and permission issuing are facilitated, and the management efficiency is improved.

A system is provided.SOLUTION: The system includes a means for inputting specific information (name, address, physical feature, etc.) of a missing person and extracting existence confirmation information by using natural language processing, a means for collecting external information such as a report from a shelter, SNS data, and a news article and automatically analyzing and arranging it, and a means for quickly notifying a person concerned of the collated existence confirmation information.SELECTED DRAWING: Figure 1

The invention provides a genetic relationship identification method and system based on SNP (Single Nucleotide Polymorphism) mismatch rate and homozygous site conjoint analysis and application, and belongs to the technical field of genetic relationship identification. According to the method, through a comprehensive analysis strategy, the accuracy and reliability of genetic relationship judgment are remarkably improved, and particularly, the distinguishing capacity of complex genetic relationships such as full sibs, half sibs, undules and news, grandgrants and grandgrandgrandgrants is substantially enhanced. According to the method, the misjudgment risk caused by sample degradation, DNA trace or crowd background difference is effectively reduced, so that a higher practical value and a wider application range are shown in practical applications such as forensic medicine identity confirmation, missing person checking and genetics pedigree reconstruction; and a firmer technical support is provided for judicial expertise and genetic counseling services.

The present application relates to artificial intelligence technology, disclose a kind of based on address book's person searching recommendation method, device, equipment and storage medium.The method comprises: obtaining the voice data of user and text operation is carried out, obtain text sentence, extract the keyword in the text sentence, and utilize keyword set to query pre-constructed address book database, obtain person searching result set, obtain the knowledge graph of user and the recommendation knowledge graph of each person searching result in person searching result set, text clustering is carried out to the user knowledge graph and each the recommendation knowledge graph, obtain the clustering score corresponding to the user and each recommended character of the user;According to the clustering score and the preset recommendation sorting strategy, the sorting operation based on name character length and clustering relationship is carried out to each recommended character, and recommendation sorting result is obtained.The present application can increase the accuracy of address book person searching.

A system is provided.SOLUTION: A system comprising: means for acquiring image data of a missing person; means for operating a generative model to generate predictive facial image data from the image data; means for storing the generated predictive facial image data; means for acquiring video data in real time from a surveillance camera; means for extracting a facial image from the video data; means for matching the extracted facial image with the predictive facial image data and calculating a match rate; and means for generating and notifying an alert if the match rate exceeds a certain threshold.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: A system comprising: means for collecting image and sensor data of a disaster-stricken area; means for transmitting the collected data to a central server; means for integrating the data transmitted to the central server; means for predicting a probability of presence of a missing person based on the integrated data; and means for displaying and notifying a prediction result.SELECTED DRAWING: Figure 1

The invention relates to the technical field of emergency rescue, and discloses an emergency rescue method, system and device and a storage medium, and the system comprises a rescue center platform, a mobile terminal carried by a lost person, and an unmanned flight device configured with a communication relay device. The mobile terminal is provided with a Beidou chip capable of receiving Beidou emergency information; the rescue center platform responds to the emergency rescue instruction and generates a rescue scheme according to the travel information of the lost person; the rescue information is broadcasted to a mobile terminal in a rescue range through a Beidou satellite; after receiving the rescue information, the mobile terminal is also used for displaying the current equipment position information and the rescue point position information so as to guide the lost person to move towards the rescue point position; and meanwhile, the rescue center platform controls the unmanned flight device to search and fly within the rescue range and provides a communication network signal, so that the lost person can perform information interaction with the rescue center platform through the mobile terminal.

The invention discloses a filing and early warning method for preventing the old and children from losing an APP, and belongs to the technical field of safety equipment. The method comprises the steps of registration and completion of real name authentication, information filing, issuing of people searching enlightenment, issuing of lost people searching for family members, information processing, information comparison and information updating reminding. According to the APP filing and early warning method for preventing old people and children from losing, information of the old people or / and children or / and pets and the like at home can be effectively filed in advance by providing a mobile phone APP platform, a two-way channel for finding lost people and finding family members by the lost people is effectively provided, and especially in the same region, the lost people can be effectively prevented from losing the family members. A more efficient searching effect can be provided, and a searching period can be effectively shortened on the basis of a traditional mode of sending a friend circle and the like.

The invention discloses an implementation method of a geographic space agent, and relates to the technical field of geographic space. Comprising the steps of acquiring data: acquiring a geographic data set, an attribute data set, a personnel information data set, an intelligent multimedia equipment data set and a monitoring equipment data set, and setting up a server: setting up a cloud server, and setting a database in the cloud server to store each data set. Through a quick query method, a customer can use a mobile terminal to transmit missing person information to intelligent multimedia equipment, a query model firstly performs feature extraction on a missing person picture, and then performs feature comparison query based on monitoring data in a shopping mall to obtain a missing person. The missing person behavior track and the final appearance position information of the target person can be obtained, the target person position can be obtained by combining the target person behavior track and the final appearance position of the target person, finally the target person position is transmitted to the mobile terminal of the customer through the wireless communication technology, and the problem encountered by the customer is rapidly solved.

In certain aspects, the present disclosure relates to performing DNA-based kinship analyses that involve analyzing between 2,000 to 50,000 SNPs, including sample preparation and sequencing techniques and methods that can be used to calculate the degree of relationship of a DNA profile from a person of interest, such as a missing person or a victim of a conflict or disaster, to one or more reference DNA profiles in a set of reference DNA profiles, and to determine the degree of relationship between the DNA profiles and one or more reference DNA profiles in a set of reference DNA profiles. The reference DNA profile set includes at least one DNA profile from a relative of the person of interest.

Disclosed herein are an apparatus and method for tracking a missing person based on attributes. The apparatus for tracking a missing person based on attributes according to an embodiment of the present disclosure includes memory in which at least one program is recorded and a processor for executing the program. The program may perform receiving a missing person report including missing situation information and attribute information representing appearance of a missing person, acquiring CCTV video based on the missing situation information, extracting full-body image candidates assumed to be of the missing person, among the full-body images of human objects in the CCTV video, based on the attribute information, receiving a selection for one of the extracted full-body image candidates as the full-body image of the missing person, and tracking the travel path of the missing person by analyzing CCTV video based on the selected full-body image of the missing person.

The present invention provides a method and device for tracking human images based on a lost tracking YOLOV8 model, and relates to the field of image recognition technology. A lost tracking YOLOV8 model for finding lost people is constructed; a camera captured picture set is collected, and the lost tracking YOLOV8 model is trained to obtain a complete picture set of people; a portrait of the lost person is compared with a complete picture set of people to obtain a complete picture set of the lost person; a moving trajectory is obtained; and a message is pushed to a first target and a second target. In order to solve the technical problems of model instability, slow training speed, and inability to track lost people, the present invention improves the stability, accuracy, and speed of the model by improving the dynamic distribution strategy and adding a loss function to the existing YOLOV8 model; and the way of sending missing person messages is optimized, so as to make greater use of the power of the masses, shorten the time of tracking lost people, and avoid the possibility of more dangers.

The invention provides a search navigation system. The system comprises a help seeking terminal, a server and an assistance terminal. The help seeking terminal sends a search request containing the feature information of the target object and an estimated range to the server, and the server sends a search invitation to the assisting terminal falling into the estimated range. The assistance terminal feeds back searching information to the server, and the server extracts effective information and feeds back the effective information to the help seeking terminal in real time. The system breaks through the limitation of the existing navigation technology, realizes intelligent search based on target object characteristics, and improves the search efficiency and range. Through user cooperation, interactivity and real-time performance of the searching process are enhanced, and effective support is provided for searching of lost articles or lost people.

Disclosed herein are system, method, and computer program product embodiments for locating, identifying, and tracking a known criminal, fugitive, missing person, and / or any other person of interest. An embodiment operates by deploying an unmanned aerial vehicle, determining the mode of operation of the UAV, operating the UAV in accordance with the mode of operation of the UAV, determining whether a subject has been detected, capturing a first voice sample associated with the subject, authenticating the identity of the subject, and transmitting the GPS location of the unmanned aerial vehicle to a computing device.

The present disclosure in some embodiments relates to performing DNA-based kinship analysis involving the analysis of between 2,000 and 50,000 SNPs, including sample preparation and sequencing techniques and methods that can be used to calculate the degree of relatedness of a DNA profile from a person of interest (e.g., a missing person or a victim of conflict or disaster) to one or more reference DNA profiles in a reference set of DNA profiles that includes at least one DNA profile from a blood relative of the person of interest.