CN117729675A - System and method for intelligently controlling illumination through movement of video perceptions - Google Patents
System and method for intelligently controlling illumination through movement of video perceptions Download PDFInfo
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- 230000033001 locomotion Effects 0.000 title claims abstract description 76
- 238000005286 illumination Methods 0.000 title claims abstract description 41
- 238000000034 method Methods 0.000 title claims abstract description 16
- 230000008447 perception Effects 0.000 title description 2
- 238000001514 detection method Methods 0.000 claims abstract description 40
- 238000012544 monitoring process Methods 0.000 claims abstract description 20
- 230000009545 invasion Effects 0.000 claims abstract description 8
- 238000007726 management method Methods 0.000 claims description 16
- 238000013473 artificial intelligence Methods 0.000 claims description 14
- 238000013500 data storage Methods 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 9
- 238000003066 decision tree Methods 0.000 claims description 9
- 230000007613 environmental effect Effects 0.000 claims description 9
- 238000013527 convolutional neural network Methods 0.000 claims description 8
- 238000013135 deep learning Methods 0.000 claims description 8
- 238000005265 energy consumption Methods 0.000 claims description 8
- 230000009471 action Effects 0.000 claims description 7
- 230000035945 sensitivity Effects 0.000 claims description 7
- 238000013528 artificial neural network Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 6
- 238000012706 support-vector machine Methods 0.000 claims description 6
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- 230000009286 beneficial effect Effects 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The invention provides an intelligent lighting system and method through movement of a video perceptron, wherein the method comprises the following steps: the camera monitors the environment to obtain a monitoring picture, and transmits the picture to the artificial intelligent module to perform intrusion detection of the object; the artificial intelligent module detects the invasion of the object according to the picture provided by the camera, learns and predicts the moving mode of the object, and informs the gateway through a network protocol in real time after detecting the invasion of the object; after the gateway receives the notification, the surrounding internet of things equipment is controlled in a linkage mode, so that more accurate and efficient illumination control is achieved, and intelligent illumination control is achieved. The invention realizes illumination linkage by utilizing a video sensing scheme, and is economical and practical and can ensure accuracy compared with radar, infrared and sound control modes; the movement of the object can be detected more accurately, so that the accuracy of the linkage control of the lighting equipment is improved.
Description
Technical Field
The invention relates to the technical field of the Internet of things, in particular to an intelligent lighting system and method through movement of a video perceptive object.
Background
In lighting applications, it is generally desirable to perform a fast response to switching/dimming of a lamp by a coordinated triggering, such as an infrared triggering scheme, a microwave radar triggering scheme, a sound control scheme, etc. commonly used in the market, but all the existing schemes have defects that are difficult to eliminate due to the influence of environmental factors, and as the video sensing scheme is more mature, a scheme of intelligently lighting by moving a video sensing object is developed.
The existing scheme is low in accuracy due to various limitations, purchasing cost is high, later maintenance cost is low, and the later maintenance cost is troublesome.
Namely, the prior art has the following main problems:
1. the accuracy is not high: the existing illumination control schemes, such as an infrared triggering scheme, a microwave radar triggering scheme, a sound control scheme and the like, are not high in accuracy due to the influence of environmental factors; false or missing report may occur, and such inaccurate condition may cause untimely on or off of the lighting device, resulting in energy waste and poor user experience;
2. the cost is high: the existing lighting control scheme needs to purchase and install special sensing equipment such as an infrared sensor, a microwave radar and the like, and the purchase cost and the installation cost of the equipment are relatively high;
3. later maintenance is difficult: existing solutions may require periodic maintenance and calibration to ensure their proper operation and accuracy. These maintenance and calibration operations may require specialized technicians to perform, increasing the cost of maintenance at a later stage;
4. the reaction rate is insufficient: existing lighting control schemes, particularly voice or radar based schemes, may suffer from insufficient response speed. For example, after a user enters a room, the lighting device may take several seconds to react and turn on the lights;
5. insufficient scalability and flexibility: existing solutions may only be suitable for specific application scenarios, and may require the use of different devices and solutions for different environments and needs, which greatly limits their scalability and flexibility.
Accordingly, the prior art has shortcomings and needs further improvement.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides an intelligent lighting system and method through movement of a video perceptron.
In order to achieve the above object, the present invention is specifically as follows:
the invention provides a system for intelligently controlling illumination through movement of a video percept, comprising:
the system comprises a camera, a gateway, an artificial intelligent module, a data storage module and an energy management module;
the camera is used for monitoring the environment to obtain a monitoring picture, and transmitting the picture to the artificial intelligent module for intrusion detection of the object;
the artificial intelligent module is used for learning and predicting the movement mode of the object according to the picture provided by the camera, and forming an alarm signal after the intrusion of the object is detected so as to realize more accurate and efficient illumination control;
the artificial intelligent module is integrated in the camera;
the gateway is used for connecting the camera and the lighting equipment, receiving the alarm signal and controlling the state of the lighting equipment according to the alarm signal;
the data storage module is used for storing video data monitored by the camera and historical data of object movement so as to be used for learning and prediction by the artificial intelligence module;
the data storage module is integrated on the camera;
the energy management module is used for monitoring and optimizing the energy consumption of the lighting equipment so as to realize more energy-saving lighting control.
Further, the camera performs intrusion detection of the object including motion detection, shape detection, and color detection, so as to accurately identify movement of the object; the camera is selected from any one of high definition, infrared and panorama types to meet the monitoring requirements under different environments and conditions.
Further, the lighting equipment controlled in a linkage way comprises an LED lamp, a fluorescent lamp and an incandescent lamp so as to meet different lighting requirements; the linkage actions of the gateway comprise turning on and off a lamp, adjusting brightness and color temperature, and dynamically adjusting the state of the lighting equipment according to the movement of an object and the change of the environment.
Further, communication protocols between the camera and the gateway comprise http/https, FTP, SMTP, TCP/IP and UDP, and the protocols can be selected and configured according to network environment and security requirements, so that effective transmission of information and security of a system are ensured; the communication protocol between the camera and the gateway adopts encryption technology to protect the safe transmission of information.
Further, the artificial intelligent module adopts one or more machine learning algorithms such as a neural network, a support vector machine, a decision tree and the like to improve the learning and predicting capability of the object movement mode; the camera adopts a deep learning algorithm to carry out intrusion detection of the object so as to improve the detection accuracy and sensitivity.
The neural network can automatically extract the characteristics and modes of the movement of the object by learning a large amount of video data, so that the movement of the object can be more accurately identified and predicted; the support vector machine can find the optimal dividing boundary according to the existing object movement data so as to realize classification and prediction of the object movement; the decision tree can be constructed according to various attributes of the object movement, and the prediction of the object movement is realized through branch selection of the decision tree. In addition, the camera adopts a deep learning algorithm to perform intrusion detection of objects, such as Convolutional Neural Network (CNN) or YOLO (You Only Look Once), so as to improve the detection accuracy and sensitivity. By these methods, the artificial intelligence module can better understand and predict movement of objects, thereby enabling more accurate and efficient lighting control.
Further, the gateway dynamically adjusts the state of the lighting equipment according to the alarm signal and the environmental parameter of the camera so as to realize more intelligent lighting control; the gateway can also communicate with other intelligent home devices to realize linkage control of the whole intelligent home system.
Further, the system carries out remote management and control through the cloud platform so as to realize wider intelligent control;
the system also includes a user interface module for providing manual control of the lighting device by the user and viewing video data monitored by the camera and historical data of movement of the object.
The invention also provides a method for intelligently controlling illumination through the movement of the video perceptron, which adopts the system and comprises the following steps:
s1, a camera monitors the environment to obtain a monitoring picture, and the picture is transmitted to an artificial intelligent module to perform intrusion detection of an object;
s2, the artificial intelligent module detects the invasion of the object according to the picture provided by the camera, learns and predicts the moving mode of the object, and informs the gateway through a network protocol in real time after detecting the invasion of the object;
and S3, after the gateway receives the notification, the gateway controls surrounding Internet of things equipment in a linkage manner so as to realize more accurate and efficient illumination control and realize intelligent illumination control.
Further, the IP address of the camera and the IP address of the gateway to which the lamp belongs are under the same network segment so as to perform effective network communication;
after receiving the alarm signal, the gateway performs switching or dimming linkage action according to a preset strategy so as to realize intelligent control of illumination.
In step S2, the system further includes an artificial intelligence module predicting a subsequent lighting requirement according to a movement mode and an environmental parameter of the object, and notifying the gateway to perform corresponding lighting equipment control;
in step S3, after the camera detects the intrusion of the object, the system may automatically send alarm information to the user to implement a safety protection function;
and step S4 is further included after the step S3, and the energy management module optimizes the energy use of the lighting equipment according to the current energy consumption condition and the predicted lighting requirement so as to realize more energy-saving lighting control.
The technical scheme of the invention has the following beneficial effects:
1. the method realizes illumination linkage by utilizing a video sensing scheme, and is economical and practical and can ensure accuracy compared with radar, infrared and sound control modes;
2. accuracy is improved: by using the video sensing technology, the invention can more accurately detect the movement of the object, thereby improving the accuracy of the linkage control of the lighting equipment, and compared with the traditional infrared or microwave radar triggering scheme, the video sensing scheme can more accurately identify the movement of the object, reduce the situations of false alarm and missing alarm and improve the user experience;
3. the cost is reduced: the invention uses the camera equipment, so that the cost of purchasing and installing special radar, infrared and sound control sensing equipment is avoided; in addition, due to the maturity of the video sensing technology, the maintenance and calibration cost in the later period can be reduced;
4. the response speed is high: according to the invention, the gateway is notified in real time, so that the lighting equipment can quickly respond to the movement of the object, and the response speed of the lighting equipment is improved;
5. improving the economic benefit: through accurate illumination control, the invention can effectively save electric power, thereby improving economic benefit;
6. flexibility and expandability are improved: the invention is not only suitable for specific application scenes, such as offices or home environments, but also can be expanded to other scenes, such as markets, public places and the like, and has good flexibility and expandability.
Drawings
FIG. 1 is a schematic diagram of a system of the present invention;
fig. 2 is an overall flow chart of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples; it is to be understood that the specific embodiments described herein are merely illustrative of the invention and not limiting thereof; it should be further noted that, for convenience of description, only some, but not all of the drawings related to the present invention are shown.
As shown in fig. 1, the present invention provides an intelligent lighting system through movement of a video percept, the system comprising:
the system comprises a camera, an artificial intelligent module, a gateway, a data storage module and an energy management module;
the camera is used for monitoring the environment to obtain a monitoring picture, and transmitting the picture to the artificial intelligent module for intrusion detection of the object;
the artificial intelligent module is used for learning and predicting the movement mode of the object according to the picture provided by the camera, and forming an alarm signal after the intrusion of the object is detected so as to realize more accurate and efficient illumination control;
the artificial intelligent module is integrated inside the camera;
the gateway is used for connecting the camera and the lighting equipment, receiving the alarm signal and controlling the state of the lighting equipment according to the alarm signal;
the data storage module is used for storing video data monitored by the camera and historical data of object movement so as to be used for learning and prediction by the artificial intelligence module;
the data storage module is integrated on the camera;
and the energy management module is used for monitoring and optimizing the energy consumption of the lighting equipment so as to realize more energy-saving lighting control.
The camera performs intrusion detection of the object including motion detection, shape detection and color detection so as to accurately identify movement of the object; the camera is selected from any one of high definition, infrared and panorama types to meet the monitoring requirements under different environments and conditions.
The lighting equipment controlled in a linkage way comprises an LED lamp, a fluorescent lamp and an incandescent lamp so as to meet different lighting requirements; the linkage actions of the gateway comprise turning on and off a lamp, adjusting brightness and color temperature, and dynamically adjusting the state of the lighting equipment according to the movement of an object and the change of the environment.
The communication protocols between the camera and the gateway comprise http/https, FTP, SMTP, TCP/IP and UDP, and the protocols can be selected and configured according to network environment and security requirements, so that effective transmission of information and security of the system are ensured; the communication protocol between the camera and the gateway adopts encryption technology to protect the safe transmission of information.
The artificial intelligent module adopts one or more machine learning algorithms such as a neural network, a support vector machine, a decision tree and the like to improve the learning and predicting capability of the object movement mode; the camera adopts a deep learning algorithm to carry out intrusion detection of the object so as to improve the detection accuracy and sensitivity.
The neural network can automatically extract the characteristics and modes of the movement of the object by learning a large amount of video data, so that the movement of the object can be more accurately identified and predicted; the support vector machine can find the optimal dividing boundary according to the existing object movement data so as to realize classification and prediction of the object movement; the decision tree can be constructed according to various attributes of the object movement, and the prediction of the object movement is realized through branch selection of the decision tree. In addition, the camera adopts a deep learning algorithm to perform intrusion detection of objects, such as Convolutional Neural Network (CNN) or YOLO (You Only Look Once), so as to improve the detection accuracy and sensitivity. By these methods, the artificial intelligence module can better understand and predict movement of objects, thereby enabling more accurate and efficient lighting control.
The gateway dynamically adjusts the state of the lighting equipment according to the alarm signal and the environmental parameter of the camera so as to realize more intelligent lighting control; the gateway can also communicate with other intelligent home devices to realize linkage control of the whole intelligent home system.
The system carries out remote management and control through the cloud platform so as to realize wider intelligent control;
at the same time, the system also comprises a user interface module for providing manual control of the lighting device by a user and viewing video data monitored by the camera and historical data of object movement
As shown in fig. 2, the present invention further provides a method for intelligently controlling illumination through movement of a video perceptron, which is implemented by adopting the system, and the method comprises the following steps:
s1, a camera monitors the environment to obtain a monitoring picture, and the picture is transmitted to an artificial intelligent module to perform intrusion detection of an object;
s2, the artificial intelligent module detects the invasion of the object according to the picture provided by the camera, learns and predicts the moving mode of the object, and informs the gateway through a network protocol in real time after detecting the invasion of the object;
and S3, after the gateway receives the notification, the gateway controls surrounding Internet of things equipment in a linkage manner so as to realize more accurate and efficient illumination control and realize intelligent illumination control.
The IP address of the camera and the IP address of the gateway to which the lamp belongs are positioned under the same network segment so as to carry out effective network communication;
after receiving the alarm signal, the gateway performs switching or dimming linkage action according to a preset strategy so as to realize intelligent control of illumination.
In step S2, the system further includes an artificial intelligence module predicting a subsequent lighting requirement according to a movement mode and an environmental parameter of the object, and notifying the gateway to perform corresponding lighting equipment control;
in step S3, after the camera detects the intrusion of the object, the system may automatically send alarm information to the user to implement a safety protection function;
and step S4 is further included after the step S3, and the energy management module optimizes the energy use of the lighting equipment according to the current energy consumption condition and the predicted lighting requirement so as to realize more energy-saving lighting control.
The following are specific embodiments:
example 1:
in an office, an IP camera and a set of LED lights are installed. Both the camera and the LED lamp are connected to a gateway device in the same network. When the camera detects that a person is in the office, it will send an alarm signal to the gateway via the HTTP protocol. And after the gateway receives the signal, the LED lamp is started immediately to provide illumination for the entered personnel. When the camera detects that no one is in the office, the camera sends a signal to the gateway again, and the gateway turns off the LED lamp, so that electric power is saved.
Example 2:
in a home environment, a camera and an intelligent light bulb are installed at the entrance of a home. Both the camera and the smart light bulb are connected to gateway devices in the same network. When the camera detects that someone is approaching the home, it will send an alarm signal to the gateway via HTTPS protocol. The gateway receives the signal and then immediately starts the intelligent bulb to provide illumination for the personnel entering. When the camera detects that the person is away, it will send a signal again to the gateway, which will turn off the intelligent light bulb.
Example 3:
in a school library, a camera and a set of LED lights are installed in each reading area. Both the camera and the LED lamp are connected to a gateway device in the same network. When the camera detects that the student enters the reading zone, it will send an alarm signal to the gateway via the HTTP protocol. And after receiving the signal, the gateway immediately starts the LED lamp to provide illumination for students. When the camera detects that no person exists in the reading area, the camera sends a signal to the gateway again, and the gateway turns off the LED lamp, so that electric power is saved.
Example 4:
in an intelligent home environment, both the living room and bedroom of the home have cameras and intelligent light bulbs installed, which are connected to gateway devices in the same network. The camera adopts a deep learning algorithm to carry out intrusion detection on an object, and when a person is detected to enter or leave, the camera sends an alarm signal to the gateway through an HTTPS protocol. After the gateway receives the signal, the state of the intelligent bulb is dynamically adjusted according to the alarm signal of the camera and environmental parameters (such as time, weather and the like), such as turning on and off, adjusting brightness, adjusting color temperature and the like.
Example 5:
in a large mall, cameras and a set of fluorescent lamps are installed at each doorway and key aisle. Both the camera and the fluorescent lamp are connected to gateway devices in the same network. The system comprises an artificial intelligence module which is used for learning and predicting the movement mode of the customer, and when the camera detects that the customer enters or leaves, the camera sends an alarm signal to the gateway through the HTTP protocol. After the gateway receives the signal, the state of the fluorescent lamp is dynamically adjusted according to the prediction result of the artificial intelligent module, so that more accurate and efficient illumination control is realized.
Example 6:
on a factory production line, cameras and a set of LED lamps are installed in each key working area. Both the camera and the LED lamp are connected to a gateway device in the same network. The system comprises an energy management module which is used for monitoring and optimizing the energy consumption of the LED lamp. When the camera detects that a worker enters or leaves the work area, it will send an alarm signal to the gateway via HTTPS protocol. After the gateway receives the signal, the state of the LED lamp is dynamically adjusted according to the optimization result of the energy management module, such as turning on the lamp, turning off the lamp, adjusting the brightness and the like, so as to realize more energy-saving illumination control.
Example 7:
in a system for intelligently controlling illumination through movement of a video percept, the system comprising: the system comprises a camera, a gateway, an artificial intelligence module, a data storage module and an energy management module. The camera is used for monitoring the environment and carrying out intrusion detection of the object, and an alarm signal is formed after intrusion of the object is detected. The gateway is used for receiving the alarm signal of the camera and controlling the state of the lighting equipment according to the alarm signal. The artificial intelligence module is used to learn and predict the movement pattern of the object to achieve more accurate and efficient lighting control. The data storage module is used for storing video data monitored by the camera and historical data of object movement so as to be used for learning and prediction by the artificial intelligence module. The energy management module is used for monitoring and optimizing the energy consumption of the lighting equipment so as to realize more energy-saving lighting control.
Example 8:
on the basis of embodiment 7, intrusion detection of an object by a camera includes motion detection, shape detection, color detection, so as to accurately recognize movement of the object. The camera adopts various types such as high definition, infrared, panorama to satisfy the monitoring demand under different environment and the condition. In addition, the camera adopts a deep learning algorithm to perform intrusion detection of objects, such as Convolutional Neural Network (CNN) or YOLO (You Only Look Once), so as to improve the detection accuracy and sensitivity.
Example 9:
on the basis of embodiment 7, the lighting device controlled in a linked manner comprises an LED lamp, a fluorescent lamp and an incandescent lamp to meet different lighting requirements. The linkage actions of the gateway comprise turning on and off a lamp, adjusting brightness and adjusting color temperature, and the state of the lighting equipment can be dynamically adjusted according to the movement of an object and the change of environment. In addition, the gateway can also communicate with other intelligent home devices to realize the linkage control of the whole intelligent home system.
Example 10:
based on embodiment 7, the system performs remote management and control through the cloud platform so as to realize wider intelligent control. The system also includes a user interface module for providing manual control of the lighting device by the user and viewing video data monitored by the camera and historical data of movement of the object. In addition, after the camera detects the intrusion detection of the object, the system can automatically send alarm information to the user so as to realize the safety protection function.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the invention, and all equivalent structural changes made by the description of the present invention and the accompanying drawings or direct/indirect application in other related technical fields are included in the scope of the present invention.
Claims (10)
1. A system for intelligently controlling illumination through movement of a video percept, the system comprising:
the system comprises a camera, an artificial intelligent module, a gateway, a data storage module and an energy management module;
the camera is used for monitoring the environment to obtain a monitoring picture, and transmitting the picture to the artificial intelligent module for intrusion detection of the object;
the artificial intelligent module is used for learning and predicting the movement mode of the object according to the picture provided by the camera, and forming an alarm signal after the intrusion of the object is detected so as to realize more accurate and efficient illumination control;
the gateway is used for connecting the camera and the lighting equipment, receiving the alarm signal and controlling the state of the lighting equipment according to the alarm signal;
the data storage module is used for storing video data monitored by the camera and historical data of object movement so as to be used for learning and prediction by the artificial intelligence module;
and the energy management module is used for monitoring and optimizing the energy consumption of the lighting equipment so as to realize more energy-saving lighting control.
2. The system for intelligently controlling illumination through movement of a video percept of claim 1, characterized in that intrusion detection of an object by a camera includes motion detection, shape detection, color detection to accurately identify movement of an object; the camera is selected from any one of high definition, infrared and panorama types to meet the monitoring requirements under different environments and conditions.
3. The system for intelligently controlling illumination through movement of a video perceptron of claim 1, characterized in that the ganged-controlled lighting devices include LED lights, fluorescent lights, incandescent lights to meet different lighting needs; the linkage actions of the gateway comprise turning on and off a lamp, adjusting brightness and color temperature, and dynamically adjusting the state of the lighting equipment according to the movement of an object and the change of the environment.
4. The system for intelligently controlling illumination through movement of a video perceptron of claim 1, characterized in that the communication protocols between the camera and the gateway include http/https, FTP, SMTP, TCP/IP, UDP, which can be selected and configured according to network environment and security requirements, ensuring effective transmission of information and security of the system; the communication protocol between the camera and the gateway adopts encryption technology to protect the safe transmission of information.
5. The system for intelligently controlling illumination through movement of a video perceptron of claim 1, characterized in that the artificial intelligence module employs one or more machine learning algorithms such as neural network, support vector machine, decision tree, etc. to enhance learning and prediction capabilities for object movement patterns; the camera adopts a deep learning algorithm to carry out intrusion detection of the object so as to improve the detection accuracy and sensitivity;
the neural network automatically extracts the characteristics and modes of the movement of the object by learning a large amount of video data, so that the movement of the object can be more accurately identified and predicted; the support vector machine finds the optimal dividing boundary according to the existing object movement data so as to realize classification and prediction of the object movement; the decision tree is constructed according to various attributes of the object movement, and the prediction of the object movement is realized through branch selection of the decision tree; the camera adopts a deep learning algorithm to carry out intrusion detection of objects, including Convolutional Neural Network (CNN) or YOLO (You Only Look Once), so as to improve the detection accuracy and sensitivity; so that the artificial intelligence module can better understand and predict the movement of the object to achieve more accurate and efficient lighting control.
6. The system for intelligently controlling illumination through movement of a video perceptron of claim 1, wherein the gateway dynamically adjusts the state of the illumination device based on the camera's alarm signal and environmental parameters to achieve more intelligent illumination control; the gateway can also communicate with other intelligent home devices to realize linkage control of the whole intelligent home system.
7. The system for intelligently controlling illumination through movement of a video perceptron of claim 1, characterized in that the system is remotely managed and controlled through a cloud platform to achieve a wider intelligent control;
the system also includes a user interface module for providing manual control of the lighting device by the user and viewing video data monitored by the camera and historical data of movement of the object.
8. A method for intelligently controlling illumination by movement of a video percept, employing the system of any of claims 1-7, the method comprising the steps of:
s1, a camera monitors the environment to obtain a monitoring picture, and the picture is transmitted to an artificial intelligent module to perform intrusion detection of an object;
s2, the artificial intelligent module detects the invasion of the object according to the picture provided by the camera, learns and predicts the moving mode of the object, and informs the gateway through a network protocol in real time after detecting the invasion of the object;
and S3, after the gateway receives the notification, the gateway controls surrounding Internet of things equipment in a linkage manner so as to realize more accurate and efficient illumination control and realize intelligent illumination control.
9. The method for intelligently controlling illumination through movement of a video percept of claim 8,
the IP address of the camera and the IP address of the gateway to which the lamp belongs are positioned under the same network segment so as to carry out effective network communication;
after receiving the alarm signal, the gateway performs switching or dimming linkage action according to a preset strategy so as to realize intelligent control of illumination.
10. The method for intelligently controlling illumination through movement of a video percept of claim 8,
in step S2, the system further includes an artificial intelligence module predicting a subsequent lighting requirement according to a movement mode and an environmental parameter of the object, and notifying the gateway to perform corresponding lighting equipment control;
in step S3, after the camera detects the intrusion of the object, the system may automatically send alarm information to the user to implement a safety protection function;
and step S4 is further included after the step S3, and the energy management module optimizes the energy use of the lighting equipment according to the current energy consumption condition and the predicted lighting requirement so as to realize more energy-saving lighting control.
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