46 results about "Smart toys" patented technology

This invention discloses a tactical competitive data interaction method and system based on an offline physical battlefield, relating to the field of offline real-world entertainment and multi-platform client linkage technology. The method includes: players registering and binding their accounts via any mainstream mini-program or H5 client such as WeChat, Alipay, Douyin, Meituan, and Xiaohongshu; setting up minefields (including proprietary toy mines), wearable smart equipment (including smart helmets, smart vests, and smart toy guns), escape room puzzle areas, and withdrawal points on the offline physical battlefield; anti-theft tags embedded in items on the battlefield and in the minefield; and an alarm sounding when a player dies without leaving with all items; collecting player offline behavior data and synchronizing it to the server; unified settlement at the cashier, with data synchronized to various mini-programs and H5 clients; enabling data reuse, online virtual auctions for offline redemption, and lottery activities; and the system including an offline physical terminal, multi-platform clients, and a server, with the server handling data processing, algorithm calculations, and anti-theft management. This invention solves the problems of existing offline tactical competitive experiences being monotonous, inefficient in operation, prone to item loss, and insufficient online-offline linkage, enhancing player immersion and stickiness, forming a unique technological barrier, and facilitating lightweight promotion.

The invention relates to a self-adaptive voice dialogue generation system of an intelligent toy and a use method thereof, and belongs to the technical field of voice dialogues of intelligent toys, the self-adaptive voice dialogue generation system comprises a voice acquisition module, a voice recognition module, a user portrait module, a dialogue management module, a natural language generation module, a safety filtering module and a voice synthesis module, the voice acquisition module acquires user voice signals, the voice recognition module is connected with the voice acquisition module and converts the voice signals into text information, and the user portrait module establishes and dynamically updates personalized user portraits corresponding to users. The user portrait at least comprises a cognitive level quantized value, an interest preference vector and an emotion mode label which are calculated on the basis of interaction historical data. According to the method, a high-fault-tolerance voice processing chain is formed from directional pickup of a beam forming algorithm at a hardware end to a CNN-LSTM acoustic model optimized for children at a software end, so that the smoothness and the stability of an interaction process in a real children use scene are fundamentally guaranteed.

The invention discloses an intelligent toy dynamic action control method and device based on natural language understanding. According to the device, an ESP32 is used as a core controller, a microphone, a Wi-Fi module and an audio output unit are integrated, voice semantics of a user are analyzed through a cloud large model, a structured instruction containing'action types' and'parameter values' is generated, and an external execution mechanism is driven to complete physical actions. The system supports multi-expression unified response, composite instruction automatic disassembly and plug-and-play functions, and is suitable for various interactive electronic devices with motor or electromagnetic driving capability. According to the method, dynamic action response under natural language control is realized, and the method has the advantages of high interaction authenticity, high universal adaptability, no need of firmware burning and the like.

1. Name of the product in this design: Intelligent Toy Mechanism. 2. Intended use of this design: for recreational toys. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The utility model discloses a light control system and an intelligent toy. The light control system comprises a brightness acquisition module, a voice acquisition module, a control chip and a light module. The brightness acquisition module acquires the brightness of the surrounding environment and feeds back a brightness signal to the control chip, and the control chip judges whether the surrounding environment becomes dark or not; when a brightness signal value transmitted by the brightness acquisition module is lower than a brightness threshold value, the control chip judges that the surrounding environment is darkened, the voice acquisition module acquires sound in the surrounding environment and feeds back a sound signal to the control chip, and the control chip judges whether the sound in the surrounding environment is uniform breath sound or not; and when the control chip judges that the sound in the surrounding environment is uniform breathing sound, the control chip controls the light module to reduce the light brightness. According to the intelligent toy, through the cooperative work of the brightness acquisition module and the voice acquisition module, the intelligent toy can automatically adjust the light brightness when detecting that the surrounding environment becomes dark and recognizing uniform breath sounds, and sleep is facilitated.

1. The name of the design product: the movement for AI intelligent toy. 2. The use of the design product: for placing inside the plush toy, providing sound and light effects, also for soothing baby children, helping sleep. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention is applicable to the technical field of artificial intelligence, and provides an intelligent toy control method based on semantic risk detection, which comprises the following steps: acquiring voice data of a target user, and performing voice-to-text processing on the voice data to obtain corresponding target text data; performing semantic risk analysis on the target text data through a preset semantic risk detection model, and outputting a semantic risk analysis result corresponding to the target text data and a corresponding risk level tag; and based on the semantic risk analysis result and the corresponding risk level label, determining a target safety response strategy in a preset safety response strategy library, and controlling the intelligent toy to execute the target safety response strategy. The problems that an existing method depends on a universal semantic recognition and content filtering algorithm, under the condition that language expression is not standard, semantic misjudgment or missed judgment is prone to occurring, a real-time detection and intervention mechanism for voice behaviors is lacked, and potential risk behaviors cannot be actively recognized in the interaction process are solved.

The present invention relates to an intelligent system and method for analyzing, evaluating, predicting and managing the behavior and development of a child on the basis of a multi-sensor and physical AI. The intelligent method according to the present invention comprises steps in which a management device: collects health and development information about a child in a care facility, and multimodal information about the child from a multi-sensor including a plurality of intelligent CCTVs, smart toys, and wearable devices in the care facility; analyzes, evaluates and predicts, on the basis of the collected information, the behavior and development state of the child in real time by using a physical AI algorithm; and predicts customized information required for the growth and development of each child according to the results of the analysis, evaluation and prediction, thereby providing the results and the predicted customized information to a guardian terminal or an expert terminal.

The invention relates to an AI anthropomorphic robot system with multi-user independent memory ability and a method, and relates to the technical field of AI toy interaction. According to the method, through cooperation of three-layer architecture of a hardware layer, a software layer and a model service layer, the intelligent toy only equipped with one set of audio input and output equipment can provide multiple users with consecutive, personalized and personified dialogue accompanying like own exclusive equipment, and finally physical single-channel, multi-channel and multi-user interaction is achieved. According to the technical scheme, innovative experience of logic multi-session channels is achieved, the toy achieves the function of simulating sounds of other people, law compliance requirements are deeply integrated into core logic of a toy system while interactive experience is guaranteed, and real-time safety monitoring and automatic risk intervention of the interactive process are achieved.

The invention is suitable for the technical field of artificial intelligence, and provides an intelligent toy control method based on dynamic intimacy, and the method comprises the steps: responding to a feeding operation of a target user, and determining a target feeding article in the feeding operation and a corresponding feeding article type; performing multi-dimensional attribute semantic recognition on the target feeding article through a preset semantic extension model, and outputting a multi-dimensional semantic feature corresponding to the target feeding article; calculating a current intimacy value through a preset intimacy evolution strategy based on the multi-dimensional semantic features; and based on the current intimacy value, determining a target feedback strategy from a behavior strategy library of the intelligent toy, and controlling the intelligent toy to execute a corresponding action behavior according to the target feedback strategy. According to the method and the device, the problem of poor user experience caused by lack of individuation and emotional coherence of generated feeding feedback content due to lack of understanding of dimensions such as semantics, scenes and emotions when matching is performed based on general names in an existing method is solved.

1. Name of the product in this design: Doll (Big-Eyed Yellow). 2. Purpose of this design: For use in intelligent AI toy dolls. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention relates to the technical field of intelligent interaction of pets, and discloses an AI intelligent interaction system for pets, which comprises a pet body, a main control chip, a voice acquisition module, a display module, a sensing module, a feedback execution module, an NFC friend-making module, an offline wake-up word recognition module and an intimacy management module. The induction module is used for identifying shaking actions or touch induction received by the pets, the feedback execution module is used for outputting feedback signals, the NFC friend making module is used for triggering interaction between different pets, and the offline wake-up word identification module is used for waking up the pets without a network. The intimacy management module is used for recording the interaction behavior between the user and the pet body and calculating the intimacy. A social scene is covered through the NFC friend-making module, interaction between toys is achieved, the guidance and use threshold of green hands is lowered, and the whole scene from single-person accompanying to multi-person interaction is covered; due to the integrated design, the AI pet intelligent toy can be developed step by step, the user experience is better, and the activity of the user can be improved.

The present application relates to the technical field of children's intelligent toys, and particularly relates to a children's professional experience modular toy using NFC identification and AIGC content generation. The toy comprises a modular professional experience house, which is provided with a plurality of NFC identification points provided with RFID sensor antenna coils; an NFC interaction module, which is detachably placed on the NFC identification points and internally encapsulates an RFID electronic tag storing professional type and / or prop attribute data; and an RFID sensor, a single-chip microcomputer, a Wi-Fi module and a loudspeaker integrated in the house. The RFID sensor reads the RFID electronic tag data through the antenna coil and uploads the data to the single-chip microcomputer, the single-chip microcomputer calls a cloud AIGC model to generate a professional plot text through the Wi-Fi module, and drives the loudspeaker to perform voice broadcast. The present application solves the problems of lack of intelligent interaction, fixed content and inability to dynamically generate plots of existing children's professional experience toys, and has the advantages of modular assembly, NFC intelligent identification, AIGC dynamically generated content, support for online updates and outstanding educational value.

1. Name of the product in this design: Intelligent Toy (AI Magic Mirror). 2. Intended use of this design: for toys. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1.

The invention discloses a toy interaction system and method based on multi-agent coordination in the technical field of intelligent toys. The method comprises the steps that S1, an intelligent toy end and a cloud coordination server are arranged; s2, obtaining a user interaction text of a to-be-interacted user; s3, setting toy role configuration of the intelligent toy terminal; s4, analyzing according to the user interaction text to obtain a cue word mode and an output cue word template of the first interaction toy corresponding to the user to be interacted, and obtaining a cue word mode and an output cue word template of the questioning intelligent toy according to the cue word mode and the cue word template; s5, a broadcast toy terminal is obtained according to the first interaction toy and the questioning intelligent toy; and S6, performing audio broadcasting on toy interaction contents corresponding to the broadcasting toy terminal in the intelligent toy terminal based on the toy interaction sequence. Natural and smooth multi-agent dialogue experience is provided, and meanwhile richness of the toy interaction process is enhanced.

1. The name of the design product: robot (dead machine). 2. The use of the design product: for product image, such as brand IP image, advertising image, peripheral cultural and creative product image, intelligent toy or doll, intelligent robot, etc. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view 1. 5. The top view has been embodied in the perspective view, and the top view is omitted; the bottom view is not common, and the bottom view is omitted.

The invention is suitable for the technical field of artificial intelligence, and provides an intelligent toy control method based on dialogue analysis, and the method comprises the steps: receiving the input data of a target child user; performing acoustic preprocessing on the input data through a preset acoustics-text joint model to obtain acoustic emotion features; performing fuzzy matching and feature mapping processing on the acoustic emotion features, and outputting character feature vectors; dynamically updating the character portrait of the target child user according to the character feature vector in combination with a context memory library to obtain an updated character portrait; and according to the updated character portrait, determining a target guiding strategy in a preset guiding strategy library, and controlling the intelligent toy to execute the target guiding strategy. According to the method, the problem that the long-term character tendency of children cannot be effectively described due to the fact that in an existing method, instant emotion judgment is carried out through single matching or a single keyword, and subtle evolution of characters cannot be dynamically captured through continuous and natural dialogues is solved.

A rotary display toy based on persistence of vision relates to the field of intelligent toys and comprises a base, a controller, a rotator, a transparent disc and a lamp strip. The controller and the lamp strip are embedded into the transparent disc and fixedly matched with the transparent disc, and the controller is electrically connected with the lamp strip and used for controlling the content displayed by the lamp strip; the rotator is fixed to the base, the transparent disc is installed on the rotator, and the rotator is used for driving the transparent disc, the lamp strip and the controller to rotate relative to the base. According to the structural design of the display toy, the safety can be improved, the service life of the light bar is prolonged, and the compactness of the whole structure is improved.

The invention relates to an anti-false-triggering voice wake-up control system of a stuffed toy and a use method of the anti-false-triggering voice wake-up control system, and belongs to the technical field of intelligent toys. The anti-false-triggering voice wake-up control system comprises a voice acquisition module, a signal processing module, a feature comparison module, a wake-up execution module, an environment acquisition module and a mode selection module which are arranged in a stuffed toy body; the voice acquisition module comprises a primary microphone and a secondary microphone, and the signal processing module comprises an overall planning operation unit and a voice activity detection unit and is used for carrying out noise reduction and enhancement operation on voice to obtain voice data; the feature comparison module comprises a prefabricated sound storage unit, a prefabricated sound processing unit, a matching unit and a speaker recognition unit. According to the invention, the system has high-precision false triggering prevention capability, and based on the dual-microphone differential noise reduction and spatial beam forming technology, the system can effectively distinguish the target voice from various interference signals, so that the false wake-up rate can be effectively reduced, and the practicability and reliability of the product are greatly improved.

The invention discloses an emotion accompanying AI toy system based on a multi-modal perception and fusion algorithm, relates to the technical field of artificial intelligence and intelligent toys, and combines a deep learning model to perform fusion analysis on expressions, voices and tones and touch behaviors of children by using multi-modal perception technologies such as computer vision, voice recognition and touch sensing. Precise recognition of the emotional state of the user is realized through a multi-level weighted fusion algorithm, so that anthropomorphic feedback, including voice pacifying, light change, action response and the like, adaptive to the emotional state is output. The method can be widely applied to the fields of child emotion accompanying, intelligent toy interaction, auxiliary treatment of special children and the like.

The invention is suitable for the technical field of artificial intelligence, and provides a dialogue intention recognition method of an intelligent toy, and the method comprises the steps: obtaining the voice data of a target child user; performing acoustic and text parallel preprocessing on the voice data to obtain text semantic features corresponding to the voice data and acoustic emotion features corresponding to the voice data; performing feature fusion processing on the text semantic features and the acoustic emotion features to obtain fused features; performing intention recognition processing on the voice data based on the fusion feature to obtain a first dialogue intention; in combination with an intention memory database, performing rationality verification and correction on the first dialogue intention through a preset intention correction model to obtain a target dialogue intention; and based on the target dialogue intention, determining a target response strategy in a preset response strategy library, and controlling the intelligent toy to execute the target response strategy. The method solves the problems that an existing method is limited by diversity of child voice features and expression modes, and it is difficult to accurately judge the real intention of a child.

This invention belongs to the field of intelligent toy control technology. It discloses an interactive track toy sensing sound effect interaction system and method, comprising: capturing the magnetic field distortion signal of the permanent magnet marker at the bottom of the moving carrier through a magnetic induction array within the track; performing multi-node time-series comparison of the distortion signal, and determining the real-time track position and speed parameters based on the peak arrival time difference and amplitude attenuation characteristics; matching the position coordinates with the boundary of the scene trigger section to generate a sound effect trigger command; retrieving sound effect segments according to the scene type, dynamically adapting the playback rate and pitch based on the speed parameters to generate speed-related sound effect data; and implementing segmented progressive sound field projection according to the progressive position sequence of the moving carrier, driving the directional sound-generating components to output sequentially; greatly improving the quality of interactive track toy products.

The application discloses a type intelligent interaction method and system based on hierarchical semantic cross fusion. The method comprises the following steps: acquiring voice or text input information and an interaction scene; analyzing the input information and the interaction scene, and determining basic semantic information, an emotion category and a scene intention; converting the basic semantic information, the emotion category and the scene intention into low-dimensional vectors, and fusing the low-dimensional vectors through a dynamic weight adjustment mode to generate a thinking vector which comprehensively considers semantics, emotions and contexts; creating response content which conforms to language ability and reflects emotional needs according to the thinking vector; performing safety inspection on the response content, and fine-tuning output according to set preferences and restriction conditions to obtain final output content. Through implementation of the method of the application, the communication quality and intimacy between intelligent toys and children are significantly improved, so as to solve the problem of insufficient language adaptation for children in the prior art.

The application provides a cloud-based intelligent AI toy design method and system, relates to the technical field of toy design, and obtains reply content interaction information through deep analysis and fusion reply analysis of user interaction of an intelligent AI toy terminal combined with a cloud AI service platform, and performs user individualized push analysis to obtain individualized adjustment push information; the user interaction personality characteristics of each intelligent AI toy terminal are analyzed, individualized reply data is obtained according to the user interaction personality characteristic analysis information, user input information is obtained and the network connection state is judged, different network connection states are matched and responded according to the network connection state, instruction execution output data is obtained, and periodic management information of the intelligent AI toy terminal is obtained to obtain growth analysis report data which is sent to a parent management terminal. The application can integrate cloud intelligence, has the ability of continuous learning and personalization, and can provide the next-generation AI toy with growth care.

The application discloses a cut pile sensor and relates to the technical field of fabric sensing. The cut pile sensor comprises a substrate layer and a sensing layer arranged on the substrate layer; the sensing layer is composed of a plurality of array-arranged conductive units; each conductive unit is anchored on the substrate layer through conductive yarn interweaving and extends outward along the surface of the substrate layer to form an upright conductive pile bundle; the conductive pile bundle is configured to change the contact state inside and between the conductive pile bundles when being deformed due to external touch, so as to cause resistance change and output a tactile detection signal. The application connects the upright conductive pile bundle on the substrate layer as a detection head of the fabric sensor, effectively solves the problem that the traditional sensor is hard and difficult to identify low force threshold action, has the characteristics of strong tactile affinity, high detection sensitivity, strong anti-interference ability and simple preparation process, and is suitable for scenes such as intelligent toys and rehabilitation assistance.

The application provides a toy intelligent guidance method and system based on human-computer interaction, and belongs to the technical field of human-computer interaction and intelligent toys. The method comprises the following steps: determining a target guidance demand of a current user based on human-computer interaction data of an intelligent toy in a preset historical time period; determining a current data sensing mode of the intelligent toy based on the target guidance demand; and starting the current data sensing mode to guide the behavior of the current user. The system comprises a data storage module, a demand analysis module, a mode determination module and a guidance execution module, and is used for realizing the method. The application positions the user's ability short board based on historical interaction data, preferentially pushes challenging content to complete guidance, but when the user's participation degree is monitored to be reduced, the application can automatically switch to the user's preferred field to maintain learning motivation. Through continuous evaluation of the guidance effect, the proportion of strong and weak content is dynamically adjusted to achieve a balance between challenge and sense of achievement, and the user is ensured to be in a benign cycle in a comfort zone and a learning zone.