9 results about "Home intelligence" patented technology

The present application provides a smart home control method, system, medium and product implemented based on an intelligent door lock, which relates to the field of image recognition technology for smart homes. The intelligent door lock detects the presence of a user, conducts door lock permission verification based on the identity verification result, and screens out users with legitimate permissions. Then, it notifies the smart home to start, so that it can change from active control to passive control, improving the portability and the atmosphere of home intelligence. After the permission verification is passed, the real-time image of the user is obtained, and then it is judged whether there is a triggering behavior based on the image. For the case of a triggering behavior, a corresponding triggering instruction is sent to make the smart home adjust according to the instruction parameters; if there is no triggering behavior, personalized matching instructions can also be sent according to the identity verification result to guide the adjustment. It endows the adjustment with more possibilities, making it have the richness like active adjustment, fully meeting the various usage requirements of users in different scenarios.

The invention relates to the field of home intelligence, in particular to home life service intelligent Internet of Things equipment, and indoor control equipment comprises a communication module, an identification module, a positioning module, a key module, a power supply module, audio equipment, a display screen and an equipment mainboard module. The communication module is used for interacting with indoor home equipment by using a wireless communication network; the identification module is used for identifying the identity of a user; the positioning module is used for positioning by using the Beidou positioning module, acquiring the position of mobile equipment in real time and confirming the position of a user; the key module is used for telephone dialing; the power supply module is used for supplying power to equipment to ensure that the equipment can stably operate for a long time; the audio equipment is used for playing voice information and performing man-machine interaction; the display screen is used as a carrier displayed by the cloud platform and is used for displaying image information; the equipment mainboard module comprises a mainboard circuit, a processor and a storage device, so that the efficiency and the performance of the equipment are improved.

1. Name of the design product: clothes care machine (home intelligence). 2. Use of the design product: used for fast drying, deodorizing, wrinkle removal, etc. 3. Design points of the design product: in shape. 4. Picture or photo that best indicates the design points: perspective view.

The application discloses a kind of based on image recognition's abnormal identification method and system of home intelligence agent, and the present application relates to the technical field of image recognition, and the dynamic space-time event of old man is determined based on the image recognition of multiple behavior images, and the multi-dimensional behavior model of old man is constructed in combination with the expression form and body form of old man, and multiple abnormal behavior nodes are determined according to the dynamic monitoring of the multi-dimensional behavior model, improve the accuracy of multiple abnormal behavior nodes.According to the abnormal behavior information, the past early warning information of old man and corresponding behavior image determine early warning review mechanism, and the multiple interaction events of old man are determined based on the response information combination of home intelligence agent, the early warning body area of old man is marked, and the real-time image corresponding to the early warning body area is marked, and the corresponding emergency event is determined according to the image recognition of the real-time image, improve the accuracy of the early warning body area of old man.

1. The name of the design product: home intelligence kind of vegetable machine. 2. The use of the design product: for carrying out vegetable cultivation. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective drawing.

1. The name of the design product: home wisdom window control graphical user interface for electronic equipment. 2. The use of the design product: an electronic device. 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: front view. 5. The use of the graphical user interface: to realize the human-computer interaction of program running operation, for simple home ecological remote control. 6. The human-computer interaction mode of the graphical user interface: interface change state diagram 1, the user interface displayed by sliding the screen on the front view, interface change state diagram 2, the user interface displayed by selecting and adding devices on the front view, interface change state diagram 3, the user interface displayed after adding devices, the text, numbers, temperature and time in the front view and interface change state diagrams 1, 2 and 3 are replaceable content.

This invention provides an intelligent clothes drying and storage system based on multimodal perception, including a control module, a sensing module, an execution module, and a communication module. The system achieves clothing sorting, drying, and storage through the synergy of multi-sensor fusion, a clothing recognition model, and automatic actuators. Based on data fusion and intelligent decision-making, the system determines whether the current environment is suitable for drying clothes and uses mechanisms such as motors, slide rails, circulating chains, or steel wire ropes to complete the drying and automatic storage of clothes. The system integrates IoT control functions, supporting remote control via Wi-Fi, enabling intelligent clothes drying and storage, and improving the level of home intelligence and the user's quality of life.

The present application belongs to the technical field of edge computing, and particularly relates to an efficient home computing capability optimization method based on edge computing. In order to solve the problem of shortage of home computing power caused by home intelligence, the present application introduces edge computing in home computing. The present application constructs a home computing power scheduling model, which is more suitable for the home scene associated with sub-tasks and reduces the task processing delay of home devices. The present application uses the block coordinate descent method to decompose the non-convex optimization problem into four sub-problems of unloading, computing power optimization, power distribution and bandwidth distribution. The present application proposes a HOME algorithm for overall optimization, which realizes the lightweight deployment in the home edge server to make task processing and resource allocation decisions quickly. Finally, a large number of experiments on real data prove the effectiveness and scalability of the method proposed in the present application for different scenarios.

The invention is applied to the technical field of smart home, and discloses a smart home control method and device, a home smart brain and a storage medium. The method comprises the following steps: acquiring a real-time scene video of the smart home and real-time state data corresponding to each home device in the smart home in real time; generating real-time environment perception data and real-time demand data corresponding to the current scene based on the real-time scene video and the real-time state data; determining to-be-controlled equipment and a control instruction corresponding to the to-be-controlled equipment in the home equipment based on the real-time environment sensing data and the real-time demand data by using a preset intelligent agent; and sending the control instruction to the to-be-controlled equipment, and triggering the to-be-controlled equipment to execute the control instruction. Therefore, the method does not need to depend on the active control of a user, achieves the automatic control of the home equipment in the smart home, and improves the automation and intelligentization of the control of the home equipment.