CN210274639U

CN210274639U - Intelligent whole-house lighting system based on human body posture recognition

Info

Publication number: CN210274639U
Application number: CN201920883667.9U
Authority: CN
Inventors: 蔡俊; 王文焕; 陈程; 陈晓烽; 谢旭
Original assignee: Anhui University of Science and Technology
Current assignee: Anhui University of Science and Technology
Priority date: 2019-06-13
Filing date: 2019-06-13
Publication date: 2020-04-07
Anticipated expiration: 2029-06-13

Abstract

The utility model provides a whole house intelligent lighting system based on human gesture discernment, the utility model aims at utilizing human gesture analysis and identification method to carry out the scene analysis of human activity, accomplish whole house light scene control with intelligent lighting system cooperation again, provide energy-conserving, comfortable lighting environment for the resident. The system judges the activity type of the resident by an analysis and judgment module formed by a human body posture analysis method, and then the scene control system finishes the regulation and control of the whole house lighting system according to a scene control strategy, so that the resource utilization rate, the living comfort level and the convenience of the existing family lighting are improved, and the trouble and inconvenience of frequent light control of the resident are eliminated. The system collects space images through the image sensor, classifies the activity types by utilizing a human body posture analysis and recognition method, and switches the indoor lighting atmosphere into a proper scene, so that the illumination of the whole house is adjusted to meet the requirement of the optimal scene, and the high combination of intellectualization and humanization is realized.

Description

Intelligent whole-house lighting system based on human body posture recognition

Technical Field

The utility model relates to an intelligent whole-house lighting system based on human gesture recognition belongs to artificial intelligence control technical field.

Background

With the rapid development of the economy of China, the living conditions of urban residents are generally improved, and the corresponding lighting power consumption also greatly rises. However, the traditional home and office lighting system lacks an intelligent power management means, resulting in a great waste of electric energy. With the development of science and technology, the concept of changing life by science and technology is more and more deeply concentrated, and the smart phone gradually changes the life style of human beings, and the intelligent lighting system can be managed and energy-saving on global hot topics, so that the smart lighting system becomes a field which is attracted attention in the lighting industry. In family life, lighting equipment is an important component in family life, and the reasonable light regulation and control in the family life are very important. The intelligent lighting system effectively relieves the contradiction between the lighting comfort level and energy conservation and consumption reduction, has the characteristics of safety, rapidness, intellectualization and individualization, and plays a great role in creating a safe, comfortable and convenient living environment and improving the life quality of people. The utility model discloses an intelligent whole house lighting system based on human gesture discernment through image acquisition with carry out the analysis and recognition to human gesture, selects scene lighting scheme intelligently, realizes an intelligent whole house lighting system.

SUMMERY OF THE UTILITY MODEL

The utility model provides a whole house intelligent lighting system based on human gesture discernment, the utility model aims at utilizing human gesture analysis and identification method to carry out the scene analysis of human activity, accomplish whole house light scene control with intelligent lighting system cooperation again, provide energy-conserving, comfortable lighting environment for the resident. The system judges the activity type of the resident by an analysis and judgment module formed by a human body posture analysis method, and then the scene control system finishes the regulation and control of the whole house lighting system according to a scene control strategy, so that the resource utilization rate, the living comfort level and the convenience of the existing family lighting are improved, and the trouble and inconvenience of frequent light control of the resident are eliminated. The whole house lighting system collects space images through the image sensor, classifies activity types by utilizing a human body posture analysis and recognition method, and switches indoor lighting atmosphere into a proper scene, so that the lighting of the whole house is adjusted to meet the requirement of the optimal scene, and high combination of intellectualization and humanization is realized. The system improves the economy and environmental protection under the combined action of intellectualization and humanization, and greatly improves the social benefit and the economic benefit.

1. The utility model discloses realize that utility model purpose adopts following technical scheme:

an intelligent whole-house lighting system based on human body posture recognition is formed by combining an image acquisition module, a human body posture analysis algorithm unit, a scene mode analysis unit, a human-computer interface, a scene mode storage module, a light regulation and control unit, a lamp set and the like. The image acquisition module consists of an infrared sensor and a CMOS image sensor; the human body posture analysis algorithm unit judges the human body posture by adopting image processing and recognition technologies such as image segmentation, image edge processing, automatic white balance, characteristic parameter extraction, characteristic recognition and the like; the scene mode analysis unit judges the activity mode of the person by adopting fuzzy judgment of fuzzy membership and matches the activity mode with the scene in the scene mode storage module. The human-machine interface is used for manually inputting scene modes and corresponding parameters. The light regulation and control unit completes on-off control and brightness control of a plurality of light groups of each house in a wired or wireless signal transmission mode. The control of the switch and the brightness has a corresponding relation with the scene mode, and different scene mode requirements are met.

Furthermore, the image acquisition module comprises an infrared sensor and a CMOS image sensor. The infrared sensor absorbs infrared radiation energy of a human body and can form infrared thermal imaging information. The CMOS illumination sensor converts the illumination intensity value into a voltage value to collect indoor brightness signals to capture scene information and form an optical image; the human body posture analysis algorithm unit comprises image processing and algorithm processing, the posture of the human body is recognized from the image and information from the image acquisition module, then the acquired scene data of different modes are subjected to image enhancement and registration through the numerical processor, and the posture recognition and the scene mode recognition are carried out by utilizing an artificial intelligence algorithm or a neural network, so that the trunk posture and the activity type of the human body are determined. The human body posture analysis algorithm unit judges the human body posture by utilizing algorithms such as image target recognition, pattern matching and the like, and divides the human body posture into standing, walking, sitting, lying and other modes. The trunk and limb forms of the human body are identified through a pattern identification algorithm, the activity state of the human body is judged by utilizing the fuzzy membership degree relation, and finally the activity pattern and the type of the human body are matched.

The scene mode analysis unit extracts scene characteristics by using the result of the human body posture analysis algorithm unit, matches and compares the scene characteristics with the characteristics in the scene mode storage module, and distinguishes various behavior modes of human activities, including: reading, working, watching television, gathering, meeting, body-building, resting, entertainment and the like. The light regulation and control unit analyzes and matches the obtained scene mode by using the scene mode, and controls each lamp group of each room in a wired or wireless mode to obtain set ambient lighting, so that the intelligent control of the whole-house lighting is realized. The light regulation and control unit comprises a lamp group controller and a driving circuit. Each lamp group respectively corresponds to a living room lamp group, a bedroom lamp group, a study lamp group, a kitchen lamp group and the like. The brightness and the on-off state of the lamp groups are driven and adjusted by the light control unit according to the parameters of the scene mode analysis unit.

The utility model has the advantages that:

the whole-house intelligent lighting system based on human body posture recognition can enable the control of family lighting engineering to be more humanized and intelligent, the artificial participation degree can be greatly reduced, the living comfort and the safety of people are improved, the power consumption of the lighting lamp can be intelligently managed, the lighting lamp can be effectively protected, the service life is prolonged, and the maintenance cost of a lamp bank is reduced. The whole-house intelligent lighting system has good energy-saving and environment-friendly effects.

Description of the drawings:

fig. 1 is a system block diagram of the apparatus of the present invention.

Detailed Description

The invention is further explained by the following embodiments in conjunction with the drawings:

as shown in fig. 1, a basic structure of a whole-house intelligent lighting system based on human body posture recognition is formed by combining an image acquisition module 1, a human-computer interface 2, a scene mode storage module 3, a light regulation and control unit 4, a lamp group 5, a scene mode analysis unit 6, a human body posture analysis algorithm unit 7 and the like, wherein the image acquisition module 1 can adopt image acquisition devices such as an infrared sensor, a CMOS image sensor, a CCD image sensor and the like; the human-computer interface 2 can adopt the modes of keyboard, mouse, touch screen, voice and the like to input the light regulation and control parameters and the mode name definition. The scene mode storage module may employ a non-volatile storage device to store information such as parameters input by the human-computer interface, and the device may be an EEPROM, a flash memory chip, an SD card, a solid state disk, and the like.

The light regulation and control unit can be realized by a control chip, such as a programmable device, a single chip microcomputer, a PLC and the like, and can complete the operations of parameter reading, wired or wireless communication, switch control, brightness regulation and control and the like. The lamp group 5 comprises lighting equipment of each room in the house, and can be light sources such as various spot lamps, down lamps, fluorescent lamps, LEDs and the like. The human body posture analysis algorithm 7 completes image data processing, human body posture analysis and recognition, and can utilize programmable equipment such as a digital signal processor, a single chip microcomputer and a microcomputer to analyze and recognize the human body posture by utilizing an image processing algorithm and a feature recognition algorithm. The scene control module 6 corresponds the human body posture to the scene mode by using a fuzzy control table or an expert mode definition, and determines the lamp group control logic and parameters required by the light control unit 4.

The infrared sensor is used for collecting human body heat signals to form an infrared thermal imaging image, the CMOS image sensor is used for collecting indoor brightness signals to capture scene information to form an optical image, then the image is transmitted to the human body posture analysis module 7, the collected scene data of different modes are subjected to image enhancement and characteristic matching through a signal processing algorithm, and then posture recognition and mode determination are carried out through an artificial intelligence algorithm or a neural network algorithm, so that the characteristics of the human body such as the trunk form, the human body posture, the human body activity type and the like are recognized. The posture of the human body is judged through the body recognition of the human body, the activity type of the human body is finally judged, and finally the living scene of the human body, such as rest, work, guest meeting, entertainment scene and the like, is judged according to the activity type of the human body. Through the controller in the scene mode analysis unit 6, the lamp group control signals and parameters corresponding to the characteristic scene modes are transmitted to the light regulation and control module, and then the on-off and brightness of each lamp group are driven in a wired or wireless communication mode.

And finally, acquiring, analyzing and judging the postures of the human body in the scene, and finally intelligently regulating and controlling the light of the whole house.

It is obvious to a person skilled in the art that the invention is not restricted to details of the above-described exemplary embodiments, but that it can be implemented in other specific forms without departing from the spirit or essential characteristics of the invention. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims

1. The utility model provides a whole room intelligence lighting system based on human gesture discernment which characterized in that: the system controller is composed of an image acquisition module, a human body posture analysis algorithm unit, a scene mode analysis unit, a light regulation and control unit, a human-computer interface and a scene mode storage module, data acquired by the image are sent to the human body posture analysis algorithm unit to analyze the human body activity state, scene mode matching is carried out through the scene mode analysis unit, the light regulation and control unit controls a plurality of lamp groups by using a mode matching result and a preset scene mode, and lighting control of the whole house is completed.

2. The whole house intelligent lighting system based on human body posture recognition as claimed in claim 1, wherein the image acquisition module can be composed of an infrared sensor and a CMOS image sensor, and can judge whether there is human body activity and acquire images of surrounding environment.

3. The whole-house intelligent lighting system based on human body posture recognition of claim 1, wherein the human body posture analysis algorithm unit performs human body posture judgment by using algorithms such as image processing, target recognition and pattern matching, and can perform target recognition on surrounding environment at the same time, and distinguish human body postures into behavior patterns such as standing, walking, sitting and lying.

4. The whole house intelligent lighting system based on human body posture recognition as claimed in claim 1, wherein the scene pattern analysis unit extracts scene features by using results of the human body posture analysis algorithm unit, and matches and compares the scene features with features in the scene pattern storage module to distinguish various behavior patterns of human activities, including: reading, watching television, gathering, building body, resting, etc.

5. The whole-house intelligent lighting system based on human body posture recognition according to claim 1, characterized in that the light regulation and control unit utilizes a scene mode obtained by analyzing and matching the scene mode to control each light group of each room in a wired or wireless manner to obtain set ambient lighting, thereby realizing intelligent control of the whole-house lighting.