128 results about "Object search" patented technology

The invention relates to the technical field of supply chain management data analysis, and discloses a supply chain management data analysis system and method based on machine learning, and the system comprises a supplier object search module, a supplier object service quality analysis module, and a supplier object selection module. The method comprises the following steps: accurately searching a qualified historical supply quality number of a material purchasing target supplier based on target supplier object parameters in combination with an intelligent search algorithm and supplier historical supply behavior information, and accurately analyzing a historical supply quality behavior completion result of the material purchasing target supplier in combination with numerical analysis; supplier service level accurate data analysis is performed by adopting an intelligent search algorithm in combination with the historical supply quantity of a material purchasing target supplier, quality behavior analysis parameters and different supply behavior supplier service level parameters, so that enterprise supply chain supplier service quality dynamic and accurate analysis is realized; and the intelligence and quality of enterprise supply chain management are improved.

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.

The invention relates to a key value caching system based on a partition namespace solid state disk. The system comprises an object and metadata insertion module, an object searching module and an object expelling module. The key value is mapped to the offset in the logic partition through a hash function, and efficient search is realized by using a page-level bloom filter; object write-in data and a first metadata buffer area are written into a disk in batches by adopting a log structure to form a first-in first-out logic partition chain; caching the hot object metadata by the system, and performing classified management on the object according to the access frequency: loading the object metadata of which the access frequency exceeds a first preset frequency after unloading, and dynamically loading the object metadata of which the access frequency is lower than a second preset frequency after unloading; in the eviction process, in combination with the second metadata buffer area and the real-time access condition, high-frequency access objects are selectively recycled. Through Hash mapping, the page-level Bloom filter and the object management based on the access frequency, the performance and efficiency of the key value caching system are improved.

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 trajectory-based object search process includes receiving a user request specifying a geographic region of interest and / or a time period of interest. A set of video-derived object trajectories is identified based on the user request. At least one event is identified based on the set of video-derived object trajectories, by processing each video-derived object trajectory individually or by aggregating video-derived object trajectories, from the set of video-derived object trajectories, that overlap with respect to at least one feature. For each event, a preview image is selected that includes a thumbnail image and / or a video frame, based on the user request and using a ranking algorithm, and event metadata associated with the preview image is received. Also for each event, a video segment associated with that event is received, and the preview image and / or the video segment is caused to be displayed to a user associated with the user request.

To provide a rough estimation system capable of easily grasping variation in amount of money when specifications of a region of a building are changed.SOLUTION: There is provided a rough estimation system 1 that roughly estimates the estimated amount of money for a planned object to be built, and the rough estimation system comprises: a basic information input part which can input basic information on the planned object (an operation input part 12 and an arithmetic part 22, step S21); a storage part which stores money amount information on objects having been estimated before and amount information on the objects (a server 20, steps S11 to S13 in Fig.4); a reference object search part which can search for reference objects as reference among the objects stored in the storage part in roughly estimating an estimated amount of the planned object (an arithmetic part 22, step S22); and an arithmetic part which can roughly estimate estimated amounts of the planned object, region by region, based upon the amount information on the searched reference objects and the basic information on the planned object (the arithmetic part 22, step S24).SELECTED DRAWING: Figure 6

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.

Optical designs for an afocal telescope system that is switchable between a relatively low magnification, large field of view mode (e.g., for object searching) and a relatively high-magnification, low field of view mode (e.g., for object inspection) are described. An approach to designing such multiconfiguration afocal telescopes is developed and demonstrated. Freeform surfaces are used to maximize the achievable diffraction-limited zoom ratio while staying in a compact volume for a two-position multiconfiguration afocal telescope. In some embodiments, a 5x zoom ratio is achieved with a compensated exit pupil and diffraction-limited performance. A significant benefit in optical performance when using freeform reflective surfaces in such a multiconfiguration afocal telescope is shown compared to more conventional surface types.

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 embodiment of the invention provides a content creation object searching method, which comprises the following steps of: acquiring an input search request expression which is expressed by using a natural language; splitting the search request expression into a single word or a single phrase based on an inner word code allocated for the content authoring object; based on the logical relationship between single words or single phrases, constructing a logical framework comprising multi-dimensional screening conditions; the logic framework is converted into a structure expression, and database table fields are matched in a content creation object database on the basis of the structure expression; searching content creation objects in a content creation object database based on the matched database table fields to obtain a plurality of pieces of content creation object description information; and converting the search request expression into a question vector, converting each piece of content creation object description information into a context statement vector to calculate a matching degree evaluation score of the two pieces of content creation object description information, and returning the content creation object according to the matching degree evaluation score.

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 relates to a multi-level page display method and device, equipment, a storage medium and a program product. The method comprises the steps that a search input box is displayed in an initial page; in response to a target object search instruction triggered for the search input box, displaying a multi-level page; the multi-level page at least comprises a search result page and an atmosphere layer page of the target object; a dynamic video corresponding to a preset element is displayed in the atmosphere layer page; the preset elements comprise elements associated with the search content or the search time corresponding to the search instruction. According to the invention, the diversity of page display forms and display contents is improved.

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 utility model discloses a lighting appliance, which belongs to the lighting technology and solves the problem that the lighting angle of the existing flashlight with an object searching function cannot be adjusted, the lighting appliance is divided into two parts, the first part can be used for independent lighting, such as the flashlight, the first part is provided with a first end and a second end, and the first end is configured to emit lighting rays outwards; the second part can be bent, the second part is provided with a third end, a fourth end and a light guide body for conducting light from the third end to the fourth end, and the second part is detachably connected to the first end through the third end so that the second part can be connected to the first part or detached from the first part. Therefore, the first part can be independently used for emitting illumination light outwards through the first end to achieve illumination, and the second part can be connected to the first part to be assembled for illumination. Due to the fact that the second part can be bent, the illumination direction and the touch distance of the fourth end are adjusted by bending the second part to adjust the orientation of the fourth end, and the fallen object can be found conveniently.

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 invention discloses a region segmentation and autonomous target searching method based on environmental semantic information, and belongs to the technical field of robot autonomous navigation and environmental perception. Comprising the steps of performing region division on a to-be-searched region based on environment semantic information, and constructing a map; for each region, detecting an object in the region in real time by using a deep learning model, and obtaining position coordinate information of the object, an object name and a category of the region to which the object belongs; counting the frequencies of different types of objects in each region, and naming the current region according to the type of the object with the highest occurrence frequency; and according to the name of a to-be-searched object in the target search task, corresponding to the region category to which the to-be-searched object belongs, performing target search based on the map. According to the method, automatic region naming and accurate segmentation based on object categories are realized by simulating a human cognitive mode, dynamic task adjustment and efficient object searching are supported at the same time, and the navigation efficiency and the reliability of target positioning are remarkably improved.

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.

The invention relates to the technical field of intelligent door locks, and discloses an equipment position reminding method and device, equipment, a medium and a program product.The method comprises the steps that after an operation signal for a door lock is received, identity information of a user is obtained, and equipment information of bound equipment is confirmed according to the identity information; performing retrieval according to the equipment information, judging whether the user carries the bound equipment or not, and if yes, uploading the retrieval information to a cloud connected with the intelligent door lock so as to enable the cloud to generate corresponding equipment position information; and when a search instruction of the user for the target equipment is received, obtaining target position information issued by the cloud, and sending a position prompt to the user according to the target position information. According to the invention, the carried equipment is retrieved through the intelligent door lock when the user goes in and out, and the position information of the equipment can be determined according to the condition that the equipment passes through the intelligent door lock, so that a corresponding position prompt is given in time when the user searches the equipment, the object searching convenience is improved, and time and energy are saved for the user.

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.

To provide a system and a method for mobility object tracking which allows tracking of an object to be performed in real time, on the basis of LIDAR data and mobility movement data, when searching for an object through an artificial nerve net.SOLUTION: A mobility object tracking method includes the steps of: acquiring an image using a camera; starting an object search with respect to the total image through an object search algorithm using a controller; determining whether or not the object search using a controller has been completed; predicting an object search range based on movement data of a mobility and LIDAR data using the controller, when the object search is determined to be not completed; and conducting an object search for the object search range predicted through the object search algorithm using the controller.SELECTED DRAWING: Figure 5