27 results about "Home surveillance" patented technology

A system includes control circuitry configured to manage faults of an electrical system. The system is configured to monitor consumption for a plurality of electrical circuits, such as branch circuits, and generate device information about a device based on an electrical current measurement from at least one electrical circuit of the plurality of electrical circuits to which the device is coupled. The system is also configured to determining that an event has occurred based on the device information and interrupt current of the at least one electrical circuit, generate a notification, communicate a control signal to the device in response to the event occurring to mitigate the event, actuate a second device in response to the event, or a combination thereof.

Example embodiments monitor a dwelling or set of dwellings. In an example embodiment, a neural network classifier is applied to first audio data to determine a first confidence level that the first audio data represents a monitored apparatus in a first state. A first population spectral signal is obtained based on a first population of audio signals classified as representing the monitored apparatus in the first state. A first measured spectral signal is obtained from the first audio data. A first distance measure is calculated between the first measured spectral signal and the first population spectral signal. A determination is made of whether the monitored apparatus is in the first state based on the first confidence level and on the first distance measure. State changes of the apparatus may be monitored, and an alert may be issued if abnormal state changes are detected.

1. Name of the product in this design: Car dashcam (with rotating lens). 2. Purpose of this design: To record information such as sound, images, and driving trajectory of a vehicle during its journey. The camera lens can rotate to record video and sound from multiple angles. It can be used as an accessory to record videos of cars with other dashcams, or as a home surveillance camera. 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.

1. The name of the product of this design: PTZ camera. 2. Purpose of this design product: for home surveillance cameras. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the key points of the design: 3D drawing of Design 1. 5. Designate Design 1 as the base design.

1. Name of the product in this design: Camera. 2. Purpose of this design: A camera for home surveillance. 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 view 1.

1. The name of the design product: intelligent router (FTTR). 2. The use of the design product: the overall use of the design product is for AI interaction, smart home management, and real-time network coverage, intelligent voice control, home monitoring, and Internet of Things connection; the local use is the same as the overall use. 3. The design points of the design product: the shape of the product. 4. The picture or photo that best indicates the design points: Design 1, perspective view 1. 5. Design 1 is designated as the basic design. 6. Other circumstances that need to be explained: In Design 1, Design 2, Design 5, Design 6, the content shown by the dashed line does not constitute part of the design to be protected.

A base station used in a home security or home automation / / control system is described. The base station is configured to automatically accept new sensors or control modules by placing such new sensors or control modules in proximity to the base station.

The invention provides a multi-mode home security anomaly detection method and device and a medium. The method comprises the steps of obtaining home monitoring multi-mode data; extracting a feature vector of each modal data in the family monitoring multi-modal data, and splicing and fusing the feature vector with the candidate abnormal semantic vector to obtain a multi-modal feature tensor; inputting the multi-modal feature tensor into a trained lightweight neural network model, and outputting a confidence coefficient weight of each modal; the confidence coefficient weight of each mode is optimized through DDPG reinforcement learning, and the optimized confidence coefficient weight of each mode is obtained; and inputting the confidence coefficients of all the modals into a pre-trained Transform sequence modeling network to obtain an identification result of home security anomaly detection. According to the method, the device and the medium, the problem of low recognition accuracy in a complex environment due to the fact that an existing home security anomaly detection method mostly depends on a single mode to carry out anomaly detection can be solved.

The utility model discloses an integrated head shaking machine module for a household monitoring camera, which is characterized in that an up-and-down rotating component and a left-and-right rotating component are firstly connected through a quick mounting structure to form the integrated head shaking machine module with an integral structure, and then the integrated head shaking machine module is mounted on a camera shell; according to the utility model, all the components are assembled in a prefabricated manner outside the camera shell to form the integrated head shaking machine module with an integral structure, and then the integrated head shaking machine module is integrally installed on the camera shell. The device has the characteristics of high assembly efficiency and convenience in assembly, and is also convenient to store and transport.

The invention discloses a family safety AI monitoring method and system based on multi-modal algorithm fusion, and particularly relates to the technical field of smart home monitoring. The method comprises the following steps: acquiring original video image data and original audio data in a home monitoring scene; performing target identification by using a convolutional neural network model, generating bounding box position information of a monitored object, and extracting behavior characteristics of the monitored object by using a long-short term memory neural network; performing feature extraction on the audio frame sequence, and identifying a corresponding sound event type in combination with an event classification model; synchronously correcting the target position information, the behavior characteristics and the sound event type to generate a joint behavior characteristic vector; performing abnormal behavior recognition based on the joint feature vector, judging whether the monitored object has a predefined risk behavior, and outputting a behavior recognition result; and a home security alarm instruction is generated according to the behavior recognition result, and the alarm content is pushed to the user terminal, so that the accuracy and the real-time performance of the home monitoring system are improved.

The invention relates to the technical field of home safety, in particular to a home monitoring alarm system and device with voice call for help and infrared detection, and the system comprises a home terminal, a police service system terminal and a control center. The home terminal comprises a home monitoring sub-terminal, an infrared monitoring sub-terminal, a voice distress call sub-terminal and a control sub-terminal. The household environment condition can be monitored, and corresponding emergency rescue can be carried out according to the environment condition; the contact between the monitored person and the outside world can be ensured in an emergency, and the outside world can know the condition of the monitored person in time; an infrared detection alarm function is provided to ensure that the monitoring system obtains alarm information at the first time and sends out rescue; voice and infrared monitoring information is transmitted to the mobile terminal in a wireless mode through the monitoring device and the control device, and rescue is provided in time; when the mobile terminal loses connection, the voice call-for-help sub-terminal can still call for help to ensure that communication is not interrupted.

1. Name of the product in this design: Smart Router and its Main Body (FTTR). 2. Purpose of this design: This design is a smart home hub device based on a router. Its overall purpose is for AI interaction, smart home management, and to achieve network coverage, intelligent voice control, home monitoring and IoT connectivity; the partial uses are the same as the overall purpose. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. Design 1 is designated as the basic design. 6. Other situations requiring explanation: Design 7 is a partial design; the part indicated by the solid line is the part for which protection is sought, while the part indicated by the dashed line does not constitute part of the design for which protection is sought.

The present application relates to the field of smart home appliances, and discloses a control method for a home monitoring system, wherein the home monitoring system includes a first electrical appliance, and the control method includes: when the light intensity in the room is less than a preset light threshold, the first electrical appliance performs light compensation; the first electrical appliance identifies characteristic information of a living being entering the room; when the characteristic information does not match the user's preset information, the first electrical appliance activates an alarm mode. The control method adds a light compensation operation when the light intensity in the room is less than a preset light threshold, thereby effectively identifying the characteristic information of the current living being in the room even if the room is not bright enough, and comparing the characteristic information with the user's preset information. When the characteristic information does not match the user's preset information, the alarm mode is activated, so that the home monitoring system performs effective safety monitoring of the room. The present application also discloses a control device and electrical equipment for a home monitoring system.

Methods, systems, and apparatus, including computer programs encoded on a non-transitory computer storage medium, for receiving user-defined routes, each user-defined route including a tripwire of multiple tripwires and a direction, where each user-defined route includes an action of multiple actions executed by a sub-system of a home monitoring system, detecting a first signal at a first tripwire including a first direction, determining a set of user-defined routes including the first tripwire and the first direction, detecting a second signal at a second tripwire including a second direction, determining a particular user-defined route of the set of user-defined routes including the first tripwire and the first direction and the second tripwire and the second direction, determining an action executed by a sub-system of the home monitoring system for the particular user-defined route traversed by a user, and triggering execution of the action based on the second signal at the second tripwire.

The invention discloses a data processing method and device, equipment, a storage medium and a product. The method is applied to a cloud platform and comprises the steps that vehicle data sent by a target vehicle is received, and the vehicle data comprises vehicle basic information and a vehicle environment video; processing the vehicle data by using a preset large language model to generate first text information; converting the first text information into first voice information by using a preset voice text conversion model; and sending the first voice information and the vehicle environment video to a home monitoring device, so that the home monitoring device plays the first voice information and displays a video picture of the vehicle environment video. And the processing efficiency of interactive data between the vehicle and the home monitoring equipment is effectively improved.

An apparatus can include a mounting plate comprising a housing with the mounting plate configured to be secured to a surface and configured to mount a home monitoring device. The apparatus can further include a power supply enclosed within the housing configured to receive AC power at an input, convert the AC power to a DC power, and output the DC power to the home monitoring device via two or more electrical contacts.

Methods, systems, and apparatus, including computer programs encoded on a non-transitory computer storage medium, for receiving user-defined routes, each route including a tripwire of multiple tripwires and a direction, and including an action of multiple actions executed by a subsystem of a home monitoring system, detecting a first signal at a first tripwire including a first direction, determining a set of user-defined routes including the first tripwire and the first direction, detecting a second signal at a second tripwire including a second direction, determining a particular route of the set of user-defined routes including the first tripwire and the first direction and the second tripwire and the second direction, determining an action executed by a subsystem of the home monitoring system for the particular user-defined route, and triggering execution of the action based on the second signal at the second tripwire.

The present invention provides a lightweight family care system, electronic device and medium for fall recognition, including: a picture acquisition and video encoding module acquires picture frames from a lens sensor and sends them to a fall detection and recognition module, and at the same time performs h265 video encoding on the picture frames and saves them in a database; when the fall detection and recognition module detects a fall behavior while running a fall detection and recognition algorithm, it extracts the human skeleton key point information of the fall person and when using the human skeleton key point information for enhanced recognition to confirm the existence of the fall behavior, it reports the fall behavior event to the business processing module; when the business processing module receives the reported fall behavior event, it notifies the pre-configured family-related personnel. The lightweight fall recognition scheme of the system of the present invention can be well deployed on a low-cost, limited computing power home surveillance camera, and plays a role in protecting the safety of the elderly and children in the family.

1. Name of the design product: four-legged pet robot dog. 2. Use of the design product: family companionship, home monitoring. 3. Design features of the design product: in shape. 4. Picture or photo that best indicates the design features: perspective view. 5. The right view is symmetrical with the left view, and the right view is omitted.

Lightweight personal handheld home monitoring and managing device, which includes a sound sensor network / array of sound sensor networks combined with an Artificial Neural Network (ANN) and a build in system and methods, making this device an intelligent and portable apparatus to address specific health issues. The combined apparatus is used for managing and / or guidance and / or diagnosing and / or controlling and managing purposes. This present version of the apparatus will address pulmonary disorders and diseases or similar ailments.

In one embodiment, a sensor unit includes an outer housing including a top plate and a base member that together define an interior space, the top plate being configured to directly receive and support the leg of the piece of furniture, a load cell provided within the interior space configured to measure forces imposed by the leg on the top plate, the load cell including a planar metal plate having a deformable element to which the top plate is mounted and a sensor element mounted to the planar metal plate at a location at which the deformable element extends from the remainder of the planar metal plate, and an internal platform provided within the interior space and associated with the base member that supports the planar metal plate of the load cell in a manner in which the deformable element of the planar metal plate is free to deform when a force is imposed by the leg on the top plate.

Methods, systems, and apparatus, including computer programs encoded on a non-transitory computer storage medium, for receiving user-defined routes, each user-defined route including a tripwire of multiple tripwires and a direction, where each user-defined route includes an action of multiple actions executed by a sub-system of a home monitoring system, detecting a first signal at a first tripwire including a first direction, determining a set of user-defined routes including the first tripwire and the first direction, detecting a second signal at a second tripwire including a second direction, determining a particular user-defined route of the set of user-defined routes including the first tripwire and the first direction and the second tripwire and the second direction, determining an action executed by a sub-system of the home monitoring system for the particular user-defined route traversed by a user, and triggering execution of the action based on the second signal at the second tripwire.

The application discloses a kind of monitoring video storage method, device, electronic equipment and storage medium.The method comprises: obtaining the behavior signal of the home monitoring video to be stored, and determining historical model parameters and home environment context information according to the home monitoring video;According to the behavior evaluation model pre-trained, the behavior score of behavior signal is determined;According to the data fluctuation degree of behavior score, historical model parameters and home environment context information, video information comprehensive uncertainty is generated;The semantic density information of the home monitoring video is obtained, and storage evaluation parameters are generated according to video information comprehensive uncertainty and semantic density information;Based on the video storage strategy matched by storage evaluation parameters, the home monitoring video is stored.The technical scheme of the embodiment of the present application can avoid the single evaluation dimension by generating video information comprehensive uncertainty;By storing video using video storage strategy, the rationality of storage mode can be improved.

A system includes control circuitry configured to manage faults of an electrical system. The system is configured to monitor consumption for a plurality of electrical circuits, such as branch circuits, and generate device information about a device based on an electrical current measurement from at least one electrical circuit of the plurality of electrical circuits to which the device is coupled. The system is also configured to determining that an event has occurred based on the device information and interrupt current of the at least one electrical circuit, generate a notification, communicate a control signal to the device in response to the event occurring to mitigate the event, actuate a second device in response to the event, or a combination thereof.

A remote location monitoring system, for example, a home monitoring or weather monitoring system may include one or more sensors and / or receivers at a first location such as a residence or business to be monitored. The sensors and receivers may communicate with a remote central server via a gateway device and the detection data received from the sensors and receivers may be displayed via display circuitry coupled to a processor of the gateway device. The sensors, receivers, and gateway device may be controlled by users locally or remotely via the server. Users may register to receive remote notifications of weather events and other home monitoring events. Users may also access remotely sensors and receivers to configure alerts, notifications, and automatic responses for the devices and integrated appliances at the first location.

This invention provides a multimodal home security anomaly detection method, device, and medium. The method includes: acquiring multimodal home monitoring data; extracting feature vectors from each modality of the multimodal home monitoring data and concatenating and fusing them with candidate anomaly semantic vectors to obtain a multimodal feature tensor; inputting the multimodal feature tensor into a trained lightweight neural network model to output the confidence weight of each modality; optimizing the confidence weight of each modality through DDPG reinforcement learning to obtain the optimized confidence weight of each modality; and inputting the confidence weights of all modalities into a pre-trained Transformer sequence modeling network to obtain the recognition result of home security anomaly detection. This method, device, and medium can solve the problem that existing home security anomaly detection methods mostly rely on a single modality for anomaly detection, resulting in low recognition accuracy in complex environments.

The invention relates to generating operable insights from smart home event data. This document describes systems and techniques aimed at generating operable insights from smart home event data. Various examples are described herein, including a method that includes generating, by one or more home monitoring sensors, home data. The method further includes receiving, by a machine learning (ML) model, the home data, and generating, by the ML model, one or more correlations based on the home data. The method further includes generating a home operation based on the one or more correlations, and configuring, by the one or more processors, the home operation for output to a user.