52 results about "Active perception" patented technology

This invention is a vision tracking control method that can realize real time tracking eye's sight point movement by computer pattern identification. This method can realize the tracking of eye's sight point by building view angle boundary proportion model as data imitation sample. By this method, computer can acquire people's command information automatically by actively apperceive mode.

The invention discloses an integrated session environment-oriented information recommendation method. In the method, a real-time active information acquiring technique is adopted and the method comprises the following steps of: during the session, actively perceiving specific topics in the current session; judging the change of the topics; automatically generating index words to retrieve under the condition that the topic changes; and presenting the search results to users. At the same time, the method integrates the characteristics of continuous change and flow of the integrated session environment information; the topic of a speech text is analyzed by adopting the method of the combination of field characteristics and the common characteristics, and the screening of important information is realized through the coordination of a plurality of users so that the information recommendation is realized. The method, which is tested in the integrated session environment, can be applied in the environments such as instant communication, network meeting and the like, so that the information searching cost is greatly reduced and the information use ratio is effectively increased.

The invention relates to an article classification and recovery method based on multi-modal active perception, and belongs to the technical field of robot application. The method comprises the steps that firstly, a target detection network model facing a target article is built, then a grabbing pose for grabbing the target article is obtained, and a mechanical arm system is guided to actively grabthe target article in a pinching mode according to the grabbing pose; the tail ends of fingers of a mechanical arm are provided with touch sensors, and touch signals on the surface of the target article can be obtained in real time while the target article is grabbed; and feature extraction is conducted on the obtained touch information, the feature information is input into a touch classifier for identifying the material of the article, and classification and recovery of the target article are completed. According to the article classification and recovery method based on multi-modal activeperception, visual and touch multi-modal information is utilized, a robot is guided to actively grab the target article in the most suitable pose through a visual detection result and collect the touch information, article material identification is achieved, and article classification and recovery are completed; and various recyclable articles made of different materials can be automatically identified, and high universality and practical significance are achieved.

The invention relates to self-checkout equipment and a self-checkout method. The equipment is provided with a sensing module used for sensing whether a human body is close to the self-checkout equipment and outputting a sensing signal under a condition that the human body is sensed, an identification module used for identifying commodity identification information and human body biological characteristic information, a communication module used for communicating with the outside and wirelessly intercepting mobile equipment, and a main control module used for receiving the sensing signal and judging whether the self-checkout equipment needs to be triggered to work and be matched with a customer equipment address and a payment account based on the sensing signal. According to the self-checkout equipment and the self-checkout method, the human body can be actively sensed and a service can be started, and the payment based on the biological characteristics of the human body can be optimized; and the self-checkout equipment is easy to arrange and does not need to be matched with other equipment.

The invention provides a method and system for environmental perception simulation of a virtual human. The method comprises the steps that the virtual human and a target chased by the virtual human are created, so that the position and the speed of the virtual human are determined; binocular vision is achieved; according to the speed of the virtual human, the binocular vision is periodically sent to the target chased by the virtual human and according to the binocular vision, information of barrier impact points in the environment where the virtual human is located and a preset behavior inference knowledge base, chasing motion of the virtual human is determined; the chasing motion of the virtual human is executed, so that the purposes that the virtual human percepts the chased target and determines a chasing path actively in the dynamic virtual environment which is not completely known are achieved.

The embodiment of the invention relates to a multi-sensor based facing sweeping method and a sweeping vehicle. The multi-sensor based facing sweeping method comprises the following steps: receiving first acquisition information uploaded by a drive sensor; fusing the first acquisition information to obtain first fused information, and judging whether a current sweeping area is a facing area or notaccording to the first fused information; when the current sweeping area is not the facing area, generating a first sweeping path according to the first fused information, and enabling the sweeping vehicle to sweep according to the first sweeping path; when the current sweeping area is the facing area, receiving second acquisition information uploaded by a driven sensor; fusing the first acquisition information uploaded by the drive sensor with second acquisition information uploaded by the driven sensor to obtain second fused information; and generating a second sweeping path according to thesecond fused information, and sweeping by the sweeping vehicle according to the second sweeping path. The multi-sensor based facing weeping method adopts an active perception and passive perception fusing scheme, so that the sweeping vehicle can sweep the area more comprehensively.

The invention discloses a digital auditing method for a vehicle, and the method comprises the following steps: A, extracting a vehicle driving track and refueling bill data to the local, processing the data, and importing the data into a database template; B, recording by using a vehicle GPS system, and performing integral operation and weighted calculation on longitude and latitude data difference values; and C, establishing a logic analysis model by taking the driving kilometers and the refueling cost as driving data, editing a logic judgment program, and finally performing vehicle fuel consumption comparison and refueling authenticity verification. The method has the advantages of active sensing, instant early warning and auxiliary decision making; the auditing work efficiency can be greatly improved. Meanwhile, the oil consumption condition of the vehicle can be dynamically monitored. Longitudinal comparison on a time axis and transverse comparison among different drivers are formed, so that the burden of auditors is reduced, human errors can be reduced, the auditing quality is improved, and the problems of irrelevance of vehicle management mass data, non-intuitiveness of dataanalysis results and the like in the supervision work are solved.

The invention provides a tourism intelligent perception system based on the Internet of Things, and the system comprises a perception equipment module which is tourism and traffic perception equipment; a intelligent gateway platform comprising a data access subsystem which is in communication connection with the sensing equipment module and can realize access, full life cycle management and onlinemanagement of the heterogeneous sensing equipment; a data processing subsystem connected with the data access subsystem and is used for carrying out standardized processing and forwarding on the datatransmitted by the sensing equipment module; and an intelligent service module connected with the data processing subsystem and is used for realizing various services of the traffic and tourism intelligent service. According to the system, through data fusion of the Internet of Things, tourists are taken as the center, and relevant tourism information can be actively sensed by means of terminal device, so that tourism plans can be arranged and adjusted in time.

The invention provides a cell-based active intelligent sensing device. The device comprises a detector, an active camera unit and an image processing unit; wherein the detector is used for detecting whether a target object exists in a to-be-detected area; the area which can be detected by the detector is called as a cell area; the cell area is divided into n*k cell units; the active camera unit includes a controller and a plurality of active cameras; each active camera is provided with a rotation holder for adjusting a rotation angle of the active camera and a capturing range of each active camera is the same as one cell unit; the controller is used for adjusting the rotation holder of the corresponding active camera according to a signal of the detector; and the image processing unit is used for synthesizing pictures captured by the active cameras. The cell-based active intelligent sensing device can actively sense a target object, the area which can be detected by the detector is divided into subareas, clear images are captured for the subareas by use of the calibrated active cameras when the target object is available, and the active cameras are facilitated to capture one or more cell units.

The invention relates to a T-shaped active perception system and method applied to long material stacking batch number recognition, and belongs to the technical field of long material product storagestacking information management of steel rolling production lines of iron and steel enterprises. The system comprises an RFID tag card, a first RFID non-contact card reader, a motion lifting device, alifting controller, a wireless router, a first wireless network card, a stacking data management and control terminal, a second wireless network card, a third wireless network card, a second RFID non-contact card reader, a fourth wireless network card and the like. When long products are hoisted in and out of a warehouse through a travelling crane, the long products are hoisted; the batch information of each bundle is updated in real time; therefore, the accurate management of the stacking position of the long material product bundle is realized; Accurate statistics of warehouse-in and warehouse-out conditions and long material product inventory information is realized, the problems of errors and the like caused by ever-changing production site conditions when manual statistics is used inthe past are solved, the human resource cost is reduced, and the automation and intelligent management level of a long material finished product warehouse is improved.

The invention relates to the technical field of sensors, in particular to a multi-perception sensor applied to the Internet of Things, a sensor network and a perception method. The sensor comprises asensor shell, a multi-perception sensor part and a sensor energy supply part, wherein the multi-perception sensor part and the sensor energy supply part are arranged in the sensor shell; the sensor energy supply part is used for supplying energy to the multi-perception sensor part; wherein the multi-perception sensor part comprises a passive sensor part and an active sensor part; the passive sensor part is used for passively sensing the change of environmental parameters and acquiring a parameter change result; the method has the advantages of high sensing efficiency, high sensing accuracy andhigh safety, and has an active sensing function.

The invention relates to a retail trade system of a geographical position-based AR (Augmented Reality) platform. The system comprises a customer mobile phone terminal (1) and an LBS (Location Based Service) positioning server (2) connecting with the customer mobile phone terminal in a wireless manner, wherein a GPS (Global Positioning System) positioning module is arranged inside the customer mobile phone terminal (1), and position information is sent to the LBS positioning server (2); the LBS positioning server (2) sends AR promotional information to an APP of the mobile phone terminal according to a position; and the APP of the mobile phone terminal searches a dedicated SSID (Service Set Identifier) channel of a portable wifi probe in each of surrounding real stores at the same time; andonce the position is matched, a customer is determined entering the real store, which is taken as an AR communication performance basis, so as to prove that customers are attracted by the AR promotional information. The method is simpler and easier to operate, and helps the real stores to directly perform interactive promotion and communication with neighboring customers without intermedia; and meanwhile, the customers can actively know the promotion information of the stores on the site, so that the customers are stimulated to enter the stores to increase the sales conversion rate.

The invention provides an intelligent safety management platform and a method based on active perception, a medium and equipment. The intelligent safety management platform based on active perceptioncomprises a safety event active perception monitoring module which is used for obtaining abnormal event information, establishing an event driver, analyzing the event driver, judging whether the eventdriver is a safety event or not, if not, ignoring the event, and if yes, giving an event prompt according to the information of the safety event; an event handling auxiliary command decision module which is used for providing a safety management service auxiliary decision corresponding to the safety event for the safety event and handling the safety event; and a building safety condition visualization module which is used for carrying out after-event review and statistical analysis on the event driver. The problem of security difference strategies in different scenes is solved by actively sensing security events, so that security personnel can manage buildings more scientifically and efficiently, and humanized security management service is provided.

The invention provides a method for actively constructing an environment scene map by an intelligent agent based on visual information, an environment exploration method and intelligent equipment. The method comprises the following steps: collecting an environment scene image required by a training model and a corresponding environment scene map data set; collecting an intelligent agent exploration environment path required by the training model; training an active exploration model by adopting an environment scene image, a corresponding environment scene map data set and a collected agent exploration environment path; and an action is generated based on the trained active exploration model, the intelligent agent explores the environment by adopting the generated action, 3D semantic point cloud data is obtained in the exploration process, and then an environment scene map is constructed by utilizing the 3D semantic point cloud data. According to the method, the limitation that a traditional computer vision task can only passively perceive the environment can be overcome, the active exploration characteristic of the intelligent agent is utilized, the perception ability and the motion ability are combined to achieve scene maps of active perception, active exploration of the environment and active construction of the environment, and the method is applied to various vision tasks.

The invention relates to a man-machine coupled longitudinal collision avoidance control method. Theman-machine coupled longitudinal collision avoidance control method comprises a wire control brakingmodule, an active sensing module, and an anthropomorphic control module;theanthropomorphic control module comprises a driver model and a deep neural network anthropomorphic decision-making controller,the active sensing module obtains a real-time traffic condition and inputs to a driver model to output desired brake deceleration;according to basic experimental data of a driver and the active sensing module, the deep neural network anthropomorphic decision-making controller generates a large amount of experimental data by utilizing generative adversarial net technology, the deep neural networkis trained to generate a brake collision avoidance controller, and output information of the brake collision avoidance controller is transmitted to the wire control braking module to complete the braking collision avoidance.According to the man-machine coupled longitudinal collision avoidance control method, the problems that the collision avoidance controller of a vehicle has a narrow range of application and control is harsh are effectively solved, and adaptability of the brake collision avoidance system and the comfort of the driver and passenger are improved.

The invention discloses a visual and auditory collaborative power equipment inspection system and method. The inspection system comprises a multi-source data acquisition module, a data intelligent analysis module and an audio and visual collaborative monitoring module; the multi-source data acquisition module is used for acquiring visual and auditory multi-source data and sending the visual and auditory multi-source data to the data intelligent analysis module; the data intelligent analysis module is used for receiving the data acquired by the multi-source data acquisition module, carrying out overall processing and analysis on the data through data fusion and intelligent analysis, carrying out equipment fault identification and defect early warning on the multi-source data, and sending an equipment fault identification and defect early warning result to the audio and visual collaborative monitoring module; and the audio and visual collaborative monitoring module displays the equipment fault identification and defect early warning result. According to the inspection system and method, multi-source data monitored by visual and auditory sense and other sensors are fully applied, state active perception and attribute collaborative cognition of the power equipment are comprehensively improved, and the inspection efficiency and accuracy of the power equipment are improved.