Intelligent illumination regulation and control system based on AI video image recognition and analysis

Abstract

The utility model relates to the technical field of intelligent lighting control, in particular to an intelligent lighting regulation and control system based on AI video image recognition and analysis, which comprises a power supply module, a control module, a lighting module, an image acquisition module, an induction module, a wireless communication module, a mosquito repelling assembly and a buzzer. The lighting module comprises a lighting lamp; the image acquisition module comprises an infrared camera and an intelligent identification chip; the sensing module comprises a brightness sensor; the mosquito repelling assembly comprises an electric spray head and a container provided with the electric spray head, and the container is filled with mosquito repelling liquid; the control module is electrically connected with the power supply module, the illumination module, the image acquisition module, the induction module, the wireless communication module, the electric nozzle and the buzzer. According to the utility model, the AI video image recognition and analysis technology is utilized to realize the automatic control of the illuminating lamp, and the situation that people stay under the lamp and are bitten by mosquitoes is effectively avoided.

Description

Technical Field

[0001] The utility model relates to the technical field of intelligent lighting control, and in particular to an intelligent lighting control system based on AI video image recognition and analysis. Background Art

[0002] A lighting lamp is a commonly used electrical lighting device. When the device is powered on, the lamp starts to emit light, which is used to provide light for users, so that users can have better light illumination in their lives regardless of whether the light is dim or at night. Existing lighting fixtures can only play the role of lighting or decoration, and need to be operated and controlled at a close distance, or operated through fixed control buttons, with single functions and cumbersome operation.

[0003] At present, China Patent Publication No. CN220292223U discloses an intelligent lighting control system, which includes a top fixing plate, a protective plate fixedly connected to the surface of the top fixing plate, and an LED light board arranged at the bottom of the top fixing plate; the utility model arranges a top fixing plate, a protective plate, an LED light board, a lampshade body, a mounting plate, an adjustment column, an arc frame, a collar and an infrared sensor. The LED light board cooperates with the infrared sensor to directly detect the human body within the detection range of the infrared sensor to provide lighting for the residents, and the infrared sensor can adjust the direction of the infrared sensor according to the specific space of the corridor under the limit adjustment of the collar and the arc frame, so as to adjust the detection range of the infrared sensor, expand the detection range of the equipment, and adapt to the specific environment and space of the external corridor, thereby preventing the situation that the average waiting time of the elevator increases and exceeds the light-emitting timing time of the voice-controlled induction lamp, and the residents need to speak twice to wake up the lamp.

[0004] However, due to the limited detection distance and angle of infrared sensors, when the human body is far away, the sensor may not be able to detect the presence and activities of the person, thus affecting the timeliness of lighting adjustment; and because there are more mosquitoes in summer, lights can easily attract mosquitoes. If people stay under the lights for a long time, they are prone to being bitten by mosquitoes. Utility Model Content

[0005] Therefore, in response to the above-mentioned problems, the present invention proposes an intelligent lighting control system based on AI video image recognition and analysis to solve the problem that the intelligent lighting system in the prior art is not equipped with a mosquito repellent device.

[0006] In order to achieve the above purpose, the utility model adopts the following technical solutions:

[0007] An intelligent lighting control system based on AI video image recognition and analysis includes a power module, a control module, a lighting module, an image acquisition module, a sensing module, a wireless communication module, a mosquito repellent component and a buzzer.

[0008] The lighting module includes a lighting lamp; the image acquisition module includes an infrared camera and an intelligent recognition chip; the sensing module includes a brightness sensor; the mosquito repellent component includes an electric nozzle and a container equipped with the electric nozzle, and the container is filled with mosquito repellent liquid.

[0009] The control module is electrically connected to the power module, the lighting module, the image acquisition module, the sensing module, the wireless communication module, the electric spray head and the buzzer respectively.

[0010] Furthermore, the sensing module also includes an ultrasonic sensor, and the ultrasonic sensor is electrically connected to the control module.

[0011] Furthermore, a manual adjustment switch is included, and the manual adjustment switch is electrically connected to the control module.

[0012] Furthermore, a mobile terminal is included, and the mobile terminal is communicatively connected with the control module via the wireless communication module.

[0013] Furthermore, the wireless communication module adopts one of a Bluetooth module, a Wi-Fi module, a 2G / 3G module and a ZigBee module.

[0014] By adopting the above technical solution, the beneficial effects of the utility model are:

[0015] 1. By setting up power modules, control modules, lighting modules, image acquisition modules, sensing modules and wireless communication modules, the automatic management of lighting is realized, and the intelligent control goal of "lights on when people come and lights off when people leave" is achieved, avoiding waste of resources and effectively promoting energy-saving effects; by setting up infrared cameras and using the AI ​​video image recognition and analysis technology of intelligent recognition chips, the lighting can be intelligently controlled by identifying the morphological characteristics of people, which greatly improves the intelligence and convenience of the lighting control system. This improvement solves the possible detection blind spots of infrared sensors, making the lighting control system more sensitive and ensuring a good user experience.

[0016] 2. By setting up mosquito repellent components and buzzers, when the system detects that a person stays within the range for more than 3 minutes, the mosquito repellent function is turned on, the control module controls the buzzer to sound a prompt, and then the controller controls the electric sprayer to spray mosquito repellent water for a few seconds. The sprayed mosquito repellent water is dispersed in the surrounding in the form of fine mist to achieve the mosquito repellent effect, effectively avoiding the trouble of being bitten by mosquitoes when staying for a long time. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a circuit connection diagram of the intelligent lighting control system of the utility model.

[0018] Figure 2It is a structural schematic diagram of the intelligent lighting control system of the utility model. DETAILED DESCRIPTION

[0019] The utility model is now further described in conjunction with the accompanying drawings and specific implementation methods.

[0020] refer to Figure 1 and Figure 2 This embodiment provides an intelligent lighting control system based on AI video image recognition and analysis, including a power module 1, a control module 2, a lighting module 3, an image acquisition module 4, a sensing module 5, a wireless communication module 6, a mosquito repellent component and a buzzer 8. The power module 1 is used to supply power to various electrical components in the system, the control module 2 is used for signal processing and control of various components, the lighting module 3 is used to provide lighting, the image acquisition module 4 is used to collect and analyze video image information, and the wireless communication module 6 is used for transmission of wireless signals.

[0021] The power module 1 is powered by the mains; the control module 2 includes a processor; the lighting module 3 includes a lighting lamp 3; the image acquisition module 4 includes an infrared camera 41 and an intelligent recognition chip 42, the intelligent recognition chip 42 is arranged in the infrared camera 41, the intelligent recognition chip 42 adopts a T02 model intelligent recognition chip, and the T02 model intelligent recognition chip integrates AI intelligent face and human shape recognition functions; the sensing module 5 includes a brightness sensor 51, and the brightness sensor 51 is used to sense the brightness of the surrounding environment; the mosquito repellent component includes an electric nozzle 71 and a container 72 equipped with the electric nozzle 71, and the container 72 is filled with mosquito repellent liquid, which is harmless to the human body. The control module 2, the infrared camera 41, the sensing module 5, the mosquito repellent component and the buzzer 8 are all arranged on the lighting lamp 3.

[0022] The control module 2 is electrically connected to the power module 1 , the lighting module 3 , the image acquisition module 4 , the sensing module 5 , the wireless communication module 6 , the electric spray head 71 and the buzzer 8 , respectively.

[0023] In this specific embodiment, the sensing module 5 further includes an ultrasonic sensor 52, which is electrically connected to the control module 2. The ultrasonic sensor 52 is used to detect the distance between a person and the lighting lamp 3, so as to determine whether the person is in the spraying area of ​​the electric spray head 71.

[0024] In this specific embodiment, a manual adjustment switch 9 is also included, and the manual adjustment switch 9 is electrically connected to the control module 2. The manual adjustment switch 9 can be used to determine whether it is a high-incidence season for mosquito bites according to the seasonal climate, thereby turning on or off the mosquito repellent function.

[0025] In this specific embodiment, a mobile terminal 10 is further included. The mobile terminal 10 is connected to the control module 2 through the wireless communication module 6 . The mobile terminal 10 can remotely monitor the status of the lighting lamp 3 .

[0026] In this specific embodiment, the wireless communication module 6 adopts one of a Bluetooth module, a Wi-Fi module, a 2G / 3G module and a ZigBee module.

[0027] The above components are existing equipment and will not be described in detail here.

[0028] The system works as follows:

[0029] The infrared camera 41 collects images or videos, and uses the AI ​​video image recognition and analysis technology of the intelligent recognition chip to determine whether there are people entering the control area, and transmits the processing results to the control module 2; when it is detected that someone has entered the control area, the brightness of the surrounding environment is detected in real time by the brightness sensor 51, and then it is determined whether it is necessary to turn on the lighting lamp 3; if someone enters and the ambient brightness is low, the control module 2 controls the lighting lamp 3 to turn on; when the system detects that the person stays in the control range for more than 3 minutes, the mosquito repellent function will be automatically started. At this time, the control module 2 controls the buzzer 8 to emit a prompt sound. After the prompt, the control module 2 controls the electric nozzle 71 to spray mosquito repellent water for several seconds. The sprayed mosquito repellent water is dispersed in the surrounding in the form of fine mist, and finally falls on the surface of people and other objects. It has a mosquito repellent effect for a certain period of time, effectively avoiding the trouble of people being bitten by mosquitoes when they stay under the lamp for a long time.

[0030] Although the present invention has been specifically demonstrated and described in conjunction with the preferred embodiments, those skilled in the art should understand that various changes may be made to the present invention in form and detail without departing from the spirit and scope of the present invention as defined in the appended claims, all of which are within the scope of protection of the present invention.

Claims

1. An intelligent lighting control system based on AI video image recognition and analysis, characterized in that: It includes a power module, a control module, a lighting module, an image acquisition module, a sensing module, a wireless communication module, a mosquito repellent component and a buzzer; The lighting module includes a lighting lamp; the image acquisition module includes an infrared camera and an intelligent recognition chip; the sensing module includes a brightness sensor; the mosquito repellent component includes an electric nozzle and a container equipped with the electric nozzle, and the container is filled with mosquito repellent liquid; The control module is electrically connected to the power module, the lighting module, the image acquisition module, the sensing module, the wireless communication module, the electric spray head and the buzzer respectively.

2. According to claim 1, the intelligent lighting control system based on AI video image recognition and analysis is characterized in that: The sensing module also includes an ultrasonic sensor, and the ultrasonic sensor is electrically connected to the control module.

3. The intelligent lighting control system based on AI video image recognition and analysis according to claim 1 is characterized in that: A manual adjustment switch is also included, and the manual adjustment switch is electrically connected to the control module.

4. The intelligent lighting control system based on AI video image recognition and analysis according to claim 1 is characterized in that: A mobile terminal is also included, and the mobile terminal is communicatively connected with the control module via the wireless communication module.

5. The intelligent lighting control system based on AI video image recognition and analysis according to claim 1 is characterized in that: The wireless communication module adopts one of a Bluetooth module, a WiFi module, a 2G / 3G module and a ZigBee module.

Images