92 results about "Object search" patented technology

The invention discloses an intelligent following robot object searching method and system based on graph structure memory. The method comprises the steps that the robot follows a user to move in real time, actively senses behaviors of the user and obtains an observation result; organizing a graph structure based on an observation result to form an initial pragmatic memory graph; forming structured memory based on the initial pragmatic memory graph, wherein the structured memory comprises continuously maintained and updated working memory and long-term memory for storing behavior habits of people; querying in the working memory or the long-term memory according to the question proposed by the user to obtain a query result; and outputting a voice prompt according to the query result. The system comprises an object observation module, a memory creation module, a structured memory storage module, a memory recall module and a reminding module. According to the method, the observation angle is flexible and active, the storage space is greatly saved, the query efficiency is improved, and based on graph structure memory, the method is closer to the memory and recall mode of human beings.

Provided in the present disclosure are a commodity object search method and apparatus, and an electronic device and a storage medium. According to the embodiments of the present disclosure, on the basis of a search request triggered on the basis of a client, search basis data for searching for a commodity object may be acquired first; then, on the basis of the search basis data, a first prompt word corresponding to a commodity object search scenario is generated, and interaction with a large language model is performed by means of the first prompt word, so as to obtain search intent information corresponding to the current commodity object search; and finally, on the basis of the search basis data and the search intent information, a second prompt word corresponding to the commodity object search scenario is generated, and interaction with the large language model is performed by means of the second prompt word, so as to obtain a search result corresponding to the current commodity object search. By using the solution, interaction can be performed with a large language model, so as to deeply analyze and understand a search intent of a client user in searching for a commodity object, and provide a more accurate commodity object recommendation scheme on the basis of the search intent.

A device and a method for image search in a surveillance camera system are disclosed. An image search device according to an embodiment of the present specification comprises a database for storing images captured from a plurality of cameras spaced apart from each other and metadata of the images, wherein, when a probe image is input, the device restricts a search range for searching for the same person as a person of interest in the probe image according to a predetermined criterion, performs primary ranking on an image within the restricted search range on the basis of feature vector information of the image, and then performs re-ranking according to an additional image similarity on the basis of a result of the primary ranking. Accordingly, the accuracy of an image search can be improved while reducing the amount of computation required for the image search. In the present specification, one or more among a surveillance camera, an autonomous vehicle, a user terminal, and a server may be linked to an artificial intelligence module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 5G services, and the like.

The invention relates to the field of robot navigation, and particularly discloses a target object searching method and system based on node information, a terminal and a medium, and the method comprises the steps: constructing a building, floor, room and object layered scene map from top to bottom; extracting object information in the room nodes by using a large language model, and taking the extracted information as node information of the room nodes; folding the layered scene map to obtain a simplified scene map, and adding corresponding node information to each room node in the simplified scene map; in response to a navigation task instruction, inputting the simplified scene map added with the node information and the navigation task instruction into the large language model, so that the large language model is positioned to a room node matched with the navigation task; and unfolding the positioned room node, and finding a target object from the current room node by using a large language model. The efficiency and precision of target object searching are improved, and the operation efficiency of the robot is improved.

The present invention belongs to the field of image recognition technology, and discloses an adaptive face search method, system, medium, device and terminal, which initializes the face search engine, uploads the face picture to be searched or added; uses the face feature extraction module to extract features from the face picture; the face search engine receives the scheduling of the face search module, searches and adds face feature vectors and returns the results to the face search module. The face search method and system of the present invention, which are based on decision trees, face feature recognition and vector search engines, can achieve accurate identification of face feature points. The present invention calculates the feature differences between faces through an algorithm, which can provide assistance for object search and personnel identity authentication. The decision tree of the present invention can determine the optimal index construction method under different data levels, and realize the adaptive search strategy under the condition of continuous growth of data volume; combined with fixed and mobile monitoring systems, it can achieve prevention and control of key personnel in the monitoring area.

The invention discloses a household robot article searching method and system based on a multi-source pre-built map, and the method comprises the following steps: S1, controlling a household robot to move in a household scene through employing an autonomous synchronous positioning and mapping technology, obtaining environment data obtained by a multi-source sensor carried by the household robot, and storing the environment data in a database; constructing an environment map fusing the ground occupation information and the overlook visual information, wherein the environment map is used as a multi-source pre-established map for subsequent article search; s2, calculating three types of scores of each landmark in the home scene; calculating the comprehensive score of each landmark according to the three types of scores of each landmark, and selecting the first K landmarks with the highest comprehensive score to construct an associated landmark set; and S3, in combination with the multi-source pre-established map and the associated landmark set, constructing a high-low layer collaborative target exploration mechanism, and realizing layer-by-layer reasoning from region planning to action execution. According to the method, the semantic reasoning result is accurately sent to the ground, the actual navigation behavior is driven, and the accuracy of target positioning and the efficiency of path planning are improved.

Embodiments of the present application provide a data retrieval method, device and equipment and storage medium, relating to the technical field of data analysis. The method comprises: in response to a retrieved request, determining a target search term and a request object; based on an object search term library corresponding to the request object and a pre-constructed business system search term library, performing word segmentation processing on the target search term respectively, and based on the word segmentation processing result corresponding to the business system search term library and a pre-set priority label, establishing a corresponding search index; and based on the business system corresponding to the request object, the word segmentation result obtained based on the object search term library and the search index, obtaining a search result. The embodiments of the present application solve the problem that the search result cannot meet the user's expectation when the search engine searches diversified data in the prior art.

An image search device includes at least one processor and at least one memory storing instructions, where, by executing instructions stored on the at least one memory, the at least one processor is configured to: receive a plurality of images and a plurality of metadata from a plurality of camera devices through a communication interface; receive an object search command and a property search command inputted by a user; extract objects corresponding to the object search command based on the plurality of metadata, and extract properties of the extracted objects; generate a search interface including a property search menu which displays a list of the extracted properties for selection through the property search command; and display the generated search interface, where, based on the object search command being changed, the properties displayed in the property search menu are changed in the search interface according to the changed object search command.

The invention discloses an intelligent object searching and cleaning method based on SLAM and RRT technologies, belongs to the technical field of intelligent robots, and aims at solving the problems that an existing product is single in function, poor in environmental adaptability, low in intelligence and lack of industrial standards. The robot comprises an object searching module, a cleaning module, a control module, an interaction module and an industrial standard adaptation module, the object searching module achieves differentiated grabbing through multi-sensor fusion, SLAM + improved RRT navigation and optimized YOLOv5s recognition in cooperation with a replaceable mechanical arm, the cleaning module comprises a replaceable cleaning assembly and a material self-adaption and stain detection unit, a robot body is designed in an IP67 waterproof and foldable mode, the robot body is adapted to a wet / narrow space, and the robot body is provided with an intelligent control module. The interaction module achieves real-time control through APP dual connection and H.265 low-delay video transmission, indexes are standardized through modularization, and a valuables payment mechanism is established. Cleaning and object searching are integrated, the object searching efficiency is improved, the coverage rate of cleaning blind areas is high, the robot is suitable for family and commercial scenes, industry standardization is promoted, and the robot has high practicability and market value.

The invention relates to the technical field of motion trail tracking, in particular to an object motion trail tracking method and system based on visual features. The method comprises the steps of collecting continuous target object search image information and target object template image information based on an object motion video stream, and performing information interaction processing on template features and search features; obtaining a to-be-selected predicted target object bounding box based on the time sequence features and the search features subjected to information interaction processing, judging whether the to-be-selected predicted target object bounding box meets the selection accuracy requirement or not based on the average coverage of the to-be-selected predicted target object bounding box, and extracting three-dimensional point cloud data of a target object in the predicted target object bounding box. Inverse density sampling processing is carried out on the three-dimensional point cloud data to obtain a to-be-processed point set, and an object motion trajectory vector is generated based on the to-be-processed point set, so that the precision and robustness of object motion trajectory tracking can be improved.

The embodiment of the invention provides an information searching method and device, computing equipment, a storage medium and a program product. The method comprises the steps of sending intelligent service prompt information of a target renting type to a user side for display by the user side, sending at least one piece of demand inquiry information to the user side based on session connection with the user side in response to an intelligent service request sent by the user side, and obtaining at least one piece of reply information fed back by the user side, determining a plurality of renting requirements based on the at least one reply message by utilizing an artificial intelligence model, selecting at least one renting requirement with the search weight greater than or equal to a target weight threshold value to search whether at least one first renting object meeting the requirement exists or not, if not, increasing the target weight threshold value and then continuing to execute the search operation, and if yes, executing the search operation; and feeding back the related information of the at least one first renting object to the user side for the user side to display. According to the technical scheme provided by the embodiment of the invention, the search accuracy and efficiency of the rented object can be improved.

The invention discloses an unknown environment-oriented household robot article searching method and system, and belongs to the technical field of robots. The method comprises the following steps: constructing a multi-dimensional map comprising a semantic map, a historical track map and a visual correlation map; evaluating and determining an optimal leading-edge exploration point based on a perception-prior-behavior multi-dimensional scoring mechanism; carrying out local path planning by using a fast marching method, and generating a navigation action to realize autonomous navigation; and judging the existence of the target object through a dual verification mechanism combining semantics and vision. According to the system, by fusing a multi-dimensional map and a multi-dimensional scoring strategy, the efficiency, the success rate and the intelligent level of article search of the robot in an unknown home environment are remarkably improved.

Flight based marine object search, detection and identification systems and related techniques include an unmanned aerial system (UAS) having a flight platform configured to execute a search path to search for an underwater object, an imaging system comprising image capture components configured to generate a stream of images corresponding to a field of view of the UAS, and a logic device associated with the UAS and configured to analyze the stream of images using a marine video analysis (MVA) system to detect a region of interest comprising an underwater object, identify an underwater object in the detected region of interest, and notify a mobile structure of the identified object.

The invention discloses an object searching and lighting system and method based on Bluetooth AOA positioning, and relates to the technical field of Bluetooth positioning, the system comprises a Bluetooth tag module, the Bluetooth tag module is installed on a target object, a low-power-consumption Bluetooth chip is arranged in the Bluetooth tag module, and the Bluetooth tag module is used for periodically broadcasting unique ID information; and a positioning base station array module, wherein the positioning base station array module is deployed in an indoor environment. According to the system, Bluetooth AOA positioning and multi-mode feedback are integrated, accurate object searching guiding is achieved, the coordinates of an object are calculated through AOA positioning, six-color light and a buzzer are combined, and the feedback mode is dynamically adjusted according to the distance; a sleep wake-up mechanism reduces power consumption and improves equipment endurance; a multi-base station synchronization and Kalman filtering algorithm supports multi-label concurrent positioning, and the anti-interference capability is enhanced; direction deviation prompting and shielding response are realized, object searching experience in a complex environment is optimized, and the low-power-consumption and high-efficiency intelligent object searching system is constructed.

The embodiment of the invention provides an object search method, a display method, equipment, a storage medium and a program product, and the method comprises the steps: determining a target image provided by a user in response to an object search request; identifying a first object from the target image, and identifying object features of the first object; searching at least one second object which meets a matching requirement with the first object according to the object characteristics; and outputting a search result of the at least one second object. According to the technical scheme provided by the embodiment of the invention, the object searching efficiency and accuracy are improved.

An electronic device is provided. The electronic device includes a camera, a communication circuit, memory storing one or more computer programs, and one or more processors communicatively coupled to the camera, the communication circuit, and the memory, wherein the one or more computer programs include computer-executable instructions that, when executed by the one or more processors individually or collectively, cause the electronic device to extract, from an image obtained from the camera, a portion of the image including objects, determine a primary object to be searched for from among the objects in the image, determine an object associated with the primary object as a secondary object, from among other objects in the image, generate an image query including a portion of the image including at least one of the primary object or the secondary object, and including a request for information related to the primary object, and transmit the image query to a server through the communication circuit.

The disclosure relates to an interaction method and apparatus, an electronic device, and a storage medium. The method includes: displaying a video playback page, where the video playback page is used for playing a target video, and the target video is associated with a target object; displaying a target object search result display page and / or a guidance page if first operation information on the video playback page by a user satisfies a preset trigger condition and a target object search instruction is collected, where the guidance page includes search prompt information, and the search prompt information is used for showing an entry into the target object search result display page; and the target object search result display page is used for displaying search results related to the target object.

The disclosed embodiments relate to a method, apparatus, and computer device for object search based on big data. The method comprises: obtaining multiple objects that match a search term and the names of multiple dimensions of the objects; matching the first segmentation in the search term in the order in which the first segmentation appears from the second segmentation of the names of the multiple dimensions in sequence to obtain multiple segmentation paths; determining the total weight of each segmentation path in the multiple segmentation paths based on the dimensional weight of the second segmentation in the segmentation path and the relationship weight between the second segmentation and the next second segmentation; taking the largest total weight as the correlation between the object and the search term, and determining the object with the largest correlation from the multiple objects as the target object. The use of this method can comprehensively consider the situation in which the segmentation of the search term appears in different positions and dimensions of the product, thereby improving the accuracy and quality of the search.

The invention relates to an object searching method and device, computer equipment, a storage medium and a computer program product. The method comprises the steps of obtaining at least one target historical selected object associated with a target search term; based on the target search word and the target historical selected object, extracting to obtain an information inquiry intention corresponding to the target search word; at least one information object and an information providing intention corresponding to the information object are obtained, the information providing intention is extracted based on a target historical search word corresponding to the information object, and the information object is a historical selected object associated with the target historical search word; and based on the target search word, the information inquiry intention, each information object and the information providing intention of each information object, determining the matching degree of each information object and the target search word. By adopting the method, the search accuracy can be improved.

The invention discloses a communication method, device and system, a storage medium and a program product. The method comprises the following steps: a second device receives a request or a trigger message for acquiring position information of a first environment Internet of Things device from a third device; the second device sends an acquisition instruction of the position information of the first environment Internet of Things equipment to the first device according to the request or the trigger message; the first device sends position information of the first environment Internet of Things equipment to the second device according to the acquisition instruction; and the second device sends the position information of the first environment Internet of Things equipment to a third device. According to the scheme of the invention, the second device can obtain the position information of the first environment Internet of Things equipment through the first device, thereby achieving the object searching and positioning based on the Internet of Things, and improving the positioning accuracy.

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.

The present application discloses an object matching method, a model training method, a product matching method and a storage medium. Among them, the method includes: obtaining an object search request and description information of a target object; performing semantic matching on multiple retrieval keywords and description information using a semantic matching model to obtain a target matching result between the object search request and the target object. In the process of model training, the present application uses adversarial training to improve the model's anti-interference ability to redundant information of keyword stacked text. Moreover, in the process of adversarial training, contrastive learning is integrated to enhance the model's distinction between positive and negative samples, thereby improving the representation ability of the object search request and the description information of the target object, thereby achieving the goal of improving the semantic matching model's recognition ability for subtle semantics and improving robustness, thereby achieving the technical effect of improving the model's recognition accuracy, and solving the technical problem of low recognition accuracy of the semantic matching model in the prior art.

The invention belongs to the technical field of mobile object cooperative control and path planning, and particularly relates to a heterogeneous multi-agent mobile object search and rescue planning method and system. According to the method, a search and rescue task is completed by searching a moving object, confirming the moving object and rescuing the moving object through partition cooperation and a dynamic task allocation mechanism. The heterogeneous division and partition strategy avoids duplication of labor and resource conflicts, and specialized division of labor enables various mobile objects to exert the maximum efficiency.

The invention provides an interaction control method and device for object display and electronic equipment. The method comprises the steps that in response to a rolling control instruction, an object display area is controlled to display a plurality of virtual objects in a rolling mode; the rolling speed of the virtual object is obtained, and an object search control matched with the rolling speed is displayed; wherein the object search control is used for searching virtual objects in a specified attribute range of specified object attributes; the range size of the specified attribute range is matched with the rolling speed; and in response to a trigger instruction for the object search control, displaying the virtual object in the specified attribute range in the object display area. In the mode, after the multiple virtual objects are controlled to be displayed in the object display area in a rolling mode, the object search control is displayed in the object display area according to the rolling speed of the virtual objects, and the specified virtual object can be displayed in the object display area after the object search control is subjected to the triggering operation, so that the efficiency of searching the specified object is improved, and the user experience is improved. And the interactive experience of players is improved.

The embodiments of the present disclosure disclose a method, apparatus, electronic device, and medium for storing object location information. A specific implementation of the method includes: acquiring target depth data, wherein the target depth data is obtained based on depth data captured for the area where the object to be identified is located; identifying the object to be identified based on the target depth data; generating object location information of the object to be identified based on the relative relationship between the position of the device capturing the depth data and the position of the identified object to be identified, wherein the object location information includes altitude information; and associating and storing the object location information of the object to be identified with a matching object tag. This implementation realizes the automatic recording of multi-dimensional location information of an object, providing a solid data foundation for subsequent object searches.

The application belongs to the technical field of computer communication, and particularly relates to an object search method and device, a computer readable medium and an electronic device. The method comprises the following steps: obtaining an object search request initiated by a current subject for an unrelated object, the current subject being an object entity registered on a current communication platform, and the unrelated object being another object entity which has not established a data communication association relationship with the current subject; searching for a target object matched with the object search request in a first object database and a second object database respectively; the first object database is used for recording object entities registered on the current communication platform, and the second object database is used for recording object entities registered on another communication platform which performs data communication with the current communication platform. The application realizes cross-platform user search, widens the search range of users, and improves the search efficiency of users.

The invention relates to the technical field of intelligent robots with bodies, and provides a semantic object searching navigation method, system and device based on multi-sensor fusion and a storage medium. The method comprises the following steps: in a process of constructing an environment map, positioning and identifying an article by fusing radio frequency identification (RFID) perception information and 3D visual perception information to obtain identification information, multi-semantic attribute information and spatial position information of the article; marking the identification information, the multi-semantic attribute information and the spatial position information of the article as points of interest in an environment map; in response to a received object searching instruction, analyzing the object searching instruction to determine a target object, and matching a target interest point corresponding to the target object from the environment map; performing path planning according to the position of the target interest point, and controlling the robot to move to the position of the target object. According to the method provided by the invention, the positioning precision and stability are improved, and high-precision autonomous object searching navigation from the object searching instruction to the accurate arrival of the target object position is realized.

This invention relates to the field of motion trajectory tracking technology, specifically to a method and system for object motion trajectory tracking based on visual features. The method includes: acquiring continuous target object search image information and target object template image information based on an object motion video stream; performing information interaction processing on template features and search features; obtaining candidate predicted target object bounding boxes based on temporal features and the information-interacted search features; determining whether the candidate predicted target object bounding boxes meet the selection accuracy requirements based on the average coverage of the candidate predicted target object bounding boxes; extracting 3D point cloud data of the target objects within the predicted target object bounding boxes; performing inverse density sampling processing on the 3D point cloud data to obtain a set of points to be processed; and generating an object motion trajectory vector based on the set of points to be processed. This method can improve the accuracy and robustness of object motion trajectory tracking.

The invention discloses a database creation method, device and equipment, a medium and a product, and belongs to the technical field of data processing. The method comprises the following steps: generating an object information combination according to object search information received by an object information configuration interface; in response to a field design triggering operation for the database table, displaying a field configuration interface; generating a target database table of the target database according to the field configuration information received by the field configuration interface; in response to a database creation instruction, establishing a communication connection with a source database, determining an object set based on the object information combination, searching diagnosis and treatment data of each object in the object set in the source database, and processing the diagnosis and treatment data of each object according to the target library table, target diagnosis and treatment data of all the objects are obtained, and a target database comprising the target diagnosis and treatment data of all the objects is created. According to the technical scheme provided by the embodiment of the invention, the database creation difficulty can be reduced.

The disclosure relates to an interaction method and apparatus, an electronic device, and a storage medium. The method includes: displaying a video playback page, where the video playback page is used for playing a target video, and the target video is associated with a target object; displaying a target object search result display page and / or a guidance page if first operation information on the video playback page by a user satisfies a preset trigger condition and a target object search instruction is collected, where the guidance page includes search prompt information, and the search prompt information is used for showing an entry into the target object search result display page; and the target object search result display page is used for displaying search results related to the target object.