CN111885777A - Control method and device for indoor LED lamp - Google Patents
Control method and device for indoor LED lamp Download PDFInfo
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- CN111885777A CN111885777A CN202010801898.8A CN202010801898A CN111885777A CN 111885777 A CN111885777 A CN 111885777A CN 202010801898 A CN202010801898 A CN 202010801898A CN 111885777 A CN111885777 A CN 111885777A
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/30—Driver circuits
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/10—Controlling the intensity of the light
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/20—Controlling the colour of the light
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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
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- Circuit Arrangement For Electric Light Sources In General (AREA)
Abstract
The invention provides a control method and a device of an indoor LED lamp, wherein the method comprises the following steps: the light intensity sensor detects the indoor illumination intensity and sends the detected illumination intensity to the controller; the controller compares the detected illumination intensity with an illumination threshold value, wherein the illumination threshold value comprises a first threshold value and a second threshold value, and the first threshold value is larger than the second threshold value; when the detected illumination intensity is larger than a first threshold value or the detected illumination intensity is smaller than a second threshold value, acquiring a facial image of the indoor person, and identifying the facial expression of the indoor person; when the facial expression of the indoor personnel is happy, the brightness of the LED lamp is not adjusted; when the facial expression of the indoor personnel is aversion, the brightness of the LED lamp is adjusted. The application improves the use experience of the indoor LED lamp.
Description
Technical Field
The invention relates to the field of information processing, in particular to a method and a device for controlling an indoor LED lamp.
Background
A light Emitting diode (led), which is a solid semiconductor device capable of converting electrical energy into visible light, can directly convert electricity into light. The heart of the LED is a semiconductor wafer, one end of the wafer is attached to a support, the other end of the wafer is a cathode, and the other end of the wafer is connected with an anode of a power supply, so that the whole wafer is packaged by epoxy resin.
The semiconductor wafer is composed of two parts, one of which is a P-type semiconductor in which holes predominate and the other of which is an N-type semiconductor in which electrons predominate. When the two semiconductors are connected, a P-N junction is formed between them. When current is applied to the wafer through the wire, electrons are pushed to the P region where they recombine with holes and then emit energy in the form of photons, which is the principle of LED lamp illumination. The wavelength of the light, i.e., the color of the light, is determined by the material forming the P-N junction. LEDs can emit light directly in red, yellow, blue, green, cyan, orange, violet, white.
At present, the use experience of indoor LED lamps needs to be improved.
Disclosure of Invention
In order to solve the problem that the use experience of an indoor LED lamp at present needs to be improved, the embodiment of the application provides a control method and device of the indoor LED lamp.
In a first aspect, an embodiment of the present application provides a method for controlling an indoor LED lamp, including:
the light intensity sensor detects the indoor illumination intensity and sends the detected illumination intensity to the controller;
the controller compares the detected illumination intensity with an illumination threshold, the illumination threshold comprising a first threshold and a second threshold, the first threshold being greater than the second threshold;
when the detected illumination intensity is larger than the first threshold value or the detected illumination intensity is smaller than the second threshold value, acquiring a facial image of the indoor person, and identifying the facial expression of the indoor person;
when the facial expression of the indoor personnel is happy, the brightness of the LED lamp is not adjusted;
when the facial expression of the indoor personnel is aversion, the brightness of the LED lamp is adjusted.
Wherein the identifying of the facial expression of the indoor person comprises:
face verification, face detection and expression recognition are carried out through a deep convolutional neural network, confidence coefficients are returned for a series of expressions of all faces on the image, and recognition results are returned through JSON.
Wherein, the obtaining of the face image of the indoor person comprises:
the face image of the indoor person is obtained through the image acquisition equipment.
Wherein the expression includes anger, slight, disgust, fear, happiness, sadness, and surprise.
In a second aspect, the present application provides a control device for an indoor LED lamp, comprising:
the light intensity sensor is used for detecting the indoor illumination intensity and sending the detected illumination intensity to the controller;
a controller for comparing the detected illumination intensity to an illumination threshold, the illumination threshold comprising a first threshold and a second threshold, the first threshold being greater than the second threshold;
the controller is further configured to: when the detected illumination intensity is larger than the first threshold value or the detected illumination intensity is smaller than the second threshold value, acquiring a facial image of the indoor person, and identifying the facial expression of the indoor person;
the controller is further configured to: when the facial expression of the indoor personnel is happy, the brightness of the LED lamp is not adjusted; when the facial expression of the indoor personnel is aversion, the brightness of the LED lamp is adjusted.
Wherein the controller is further configured to:
face verification, face detection and expression recognition are carried out through a deep convolutional neural network, confidence coefficients are returned for a series of expressions of all faces on the image, and recognition results are returned through JSON.
Wherein the controller is further configured to:
the face image of the indoor person is obtained through the image acquisition equipment.
Wherein the expression includes anger, slight, disgust, fear, happiness, sadness, and surprise. .
In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and the computer program is used for implementing the steps of any one of the above methods when executed by a processor.
In a fourth aspect, the present application provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of any one of the above methods when executing the program.
The control method and the control device for the indoor LED lamp have the following beneficial effects:
the method includes the steps that whether the brightness of an LED exceeds a preset threshold value or not is detected, if the brightness of the LED is within the preset threshold value range, the brightness of the LED is normal, if the brightness of the LED is not within the preset threshold value range, the facial expression of indoor personnel is detected, when the facial expression of the indoor personnel is happy, the indoor personnel feel comfortable to the brightness of the LED, and the brightness of an LED lamp does not need to be adjusted; when the facial expression of the indoor person is aversion, the indoor person feels uncomfortable to the brightness of the LED, and the brightness of the LED lamp needs to be adjusted. Therefore, the use experience of the indoor LED lamp is improved.
Drawings
Fig. 1 is a schematic flow chart of a control method of an indoor LED lamp according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a control device of an indoor LED lamp according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
The present application is further described with reference to the following figures and examples.
In the following description, the terms "first" and "second" are used for descriptive purposes only and are not intended to indicate or imply relative importance. The following description provides embodiments of the invention, which may be combined or substituted for various embodiments, and this application is therefore intended to cover all possible combinations of the same and/or different embodiments described. Thus, if one embodiment includes feature A, B, C and another embodiment includes feature B, D, then this application should also be considered to include an embodiment that includes one or more of all other possible combinations of A, B, C, D, even though this embodiment may not be explicitly recited in text below.
The following description provides examples, and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made in the function and arrangement of elements described without departing from the scope of the disclosure. Various examples may omit, substitute, or add various procedures or components as appropriate. For example, the described methods may be performed in an order different than the order described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.
As shown in fig. 1, the present application provides a method for controlling an indoor LED lamp, including the steps of: s101, detecting indoor illumination intensity by a light intensity sensor, and sending the detected illumination intensity to a controller; s103, the controller compares the detected illumination intensity with an illumination threshold value, wherein the illumination threshold value comprises a first threshold value and a second threshold value, and the first threshold value is larger than the second threshold value;
s105, when the detected illumination intensity is larger than a first threshold value or the detected illumination intensity is smaller than a second threshold value, acquiring a facial image of the indoor person, and identifying the facial expression of the indoor person; s107, when the facial expression of the indoor personnel is happy, the brightness of the LED lamp is not adjusted; when the facial expression of the indoor personnel is aversion, the brightness of the LED lamp is adjusted.
Wherein, discerning indoor personnel's facial expression includes: face verification, face detection and expression recognition are carried out through a deep convolutional neural network, confidence coefficients are returned for a series of expressions of all faces on the image, and recognition results are returned through JSON. JSON (JavaScript Object Notation) is a lightweight data exchange format. It stores and represents data in a text format that is completely independent of the programming language, based on a subset of ECMAScript (js specification set by the european computer association). The compact and clear hierarchy makes JSON an ideal data exchange language.
Wherein, acquire indoor personnel's facial image, include: the face image of the indoor person is obtained through the image acquisition equipment. Expressions include anger, slight, disgust, fear, happiness, sadness, and surprise.
Expression recognition is an important direction for computer understanding of human emotion and an important aspect of human-computer interaction. Expression recognition refers to selecting expression states from a still picture or video sequence to determine the emotional and psychological changes of a person. Through a large number of experiments, the american psychologists Ekman and Friesen in the 70's of the 20 th century defined six basic expressions in humans: happiness, anger, surprise, fear, disgust and sadness. Human Face Expression Recognition (FER) has wide research prospects in human-computer interaction and emotion calculation, including human-computer interaction, emotion analysis, intelligent security, entertainment, network education, intelligent medical treatment and the like.
And a deep convolutional neural network is adopted to fuse the facial expression feature extraction and the expression classification into an end-to-end network. VGG19 and Resnet18 are respectively adopted to complete the recognition and classification of expressions. In the design, we explore two methods for calculating the loss function, the first is a cross-entropy loss function. The model obtains the output probability of each class after the full connection layer, but the probability is not normalized at the moment, and the probability is normalized to 1 through a softmax layer, so that the data processing is easier.
Micro-expressions are psychological terms, a transient facial expression that humans make unconsciously when trying to hide a certain emotion. They correspond to seven emotions common to the world: disgust, anger, fear, sadness, happiness, surprise and slight. The duration of micro-expressions is only 1/25 seconds to 1/5 seconds, expressing the real emotion that one is trying to suppress and hide. While a subconscious expression may last only a moment, sometimes the opposite emotion is expressed.
And detecting the human face in the image, and marking a frame for the human face. After the human face is detected, the human face can be analyzed, and 72 key points such as eye, mouth and nose contours are obtained to accurately identify various human face attributes such as sex, age, expression and other information. The technology can adapt to various actual environments such as large-angle side faces, sheltering, blurring, expression change and the like.
After the expressions of the indoor personnel are recognized, the mood state of the indoor personnel can be calculated. According to the mood state, the color of the LED lamp is adjusted so that the color of the LED lamp accords with the mood of indoor personnel, and the mood of the indoor personnel is adjusted by using the color of the LED lamp.
The method includes the steps that whether the brightness of an LED exceeds a preset threshold value or not is detected, if the brightness of the LED is within the preset threshold value range, the brightness of the LED is normal, if the brightness of the LED is not within the preset threshold value range, the facial expression of indoor personnel is detected, when the facial expression of the indoor personnel is happy, the indoor personnel feel comfortable to the brightness of the LED, and the brightness of an LED lamp does not need to be adjusted; when the facial expression of the indoor person is aversion, the indoor person feels uncomfortable to the brightness of the LED, and the brightness of the LED lamp needs to be adjusted. Therefore, the use experience of the indoor LED lamp is improved.
As shown in fig. 2, the present application provides a control device for an indoor LED lamp, including: the light intensity sensor 201 is used for detecting the indoor illumination intensity and sending the detected illumination intensity to the controller; a controller 202 for comparing the detected illumination intensity with an illumination threshold, the illumination threshold comprising a first threshold and a second threshold, the first threshold being greater than the second threshold; the controller is further configured to: when the detected illumination intensity is larger than a first threshold value or the detected illumination intensity is smaller than a second threshold value, acquiring a facial image of the indoor person, and identifying the facial expression of the indoor person;
the controller is further configured to: when the facial expression of the indoor personnel is happy, the brightness of the LED lamp is not adjusted; when the facial expression of the indoor personnel is aversion, the brightness of the LED lamp is adjusted.
Wherein the controller is further configured to: face verification, face detection and expression recognition are carried out through a deep convolutional neural network, confidence coefficients are returned for a series of expressions of all faces on the image, and recognition results are returned through JSON.
Wherein the controller is further configured to: the face image of the indoor person is obtained through the image acquisition equipment. Expressions include anger, slight, disgust, fear, happiness, sadness, and surprise.
In the present application, embodiments of a control apparatus for an indoor LED lamp are substantially similar to embodiments of a control method for an indoor LED lamp, and please refer to the description of the embodiments of the control method for an indoor LED lamp.
It is clear to a person skilled in the art that the solution according to the embodiments of the invention can be implemented by means of software and/or hardware. The "unit" and "module" in this specification refer to software and/or hardware that can perform a specific function independently or in cooperation with other components, where the hardware may be, for example, an FPGA (Field-Programmable Gate Array), an IC (Integrated Circuit), or the like.
Each processing unit and/or module according to the embodiments of the present invention may be implemented by an analog circuit that implements the functions described in the embodiments of the present invention, or may be implemented by software that executes the functions described in the embodiments of the present invention.
The embodiment of the invention also provides a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the program is executed by a processor to realize the steps of the control method of the indoor LED lamp. The computer-readable storage medium may include, but is not limited to, any type of disk including floppy disks, optical disks, DVD, CD-ROMs, microdrive, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.
Fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present application, such as a laptop computer, a desktop computer, a workstation, a personal digital assistant, a server, a blade server, a mainframe computer, and other suitable computers, as shown in fig. 3. The computer device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The computer apparatus of the present application comprises a processor 401, a memory 402, an input device 403 and an output device 404. The processor 401, memory 402, input device 403, and output device 404 may be connected by a bus 405 or otherwise. The memory 402 stores thereon a computer program that is executable on the processor 401, and the processor 401, when executing the program, implements the above-described method steps of controlling the indoor LED lamp.
The input device 403 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the data processing computer apparatus, such as a touch screen, keypad, mouse, track pad, touch pad, pointer stick, one or more mouse buttons, track ball, joystick or other input device. The output devices 404 may include a display device, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibrating motors), among others. Display devices may include, but are not limited to, Liquid Crystal Displays (LCDs), Light Emitting Diode (LED) displays, plasma displays, and touch screens.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
All functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A control method of an indoor LED lamp is characterized by comprising the following steps:
the light intensity sensor detects the indoor illumination intensity and sends the detected illumination intensity to the controller;
the controller compares the detected illumination intensity with an illumination threshold, the illumination threshold comprising a first threshold and a second threshold, the first threshold being greater than the second threshold;
when the detected illumination intensity is larger than the first threshold value or the detected illumination intensity is smaller than the second threshold value, acquiring a facial image of the indoor person, and identifying the facial expression of the indoor person;
when the facial expression of the indoor personnel is happy, the brightness of the LED lamp is not adjusted;
when the facial expression of the indoor personnel is aversion, the brightness of the LED lamp is adjusted.
2. The method for controlling the indoor LED lamp according to claim 1, wherein the identifying facial expressions of indoor people comprises:
face verification, face detection and expression recognition are carried out through a deep convolutional neural network, confidence coefficients are returned for a series of expressions of all faces on the image, and recognition results are returned through JSON.
3. The method for controlling the indoor LED lamp according to claim 1 or 2, wherein the step of acquiring the face image of the indoor person comprises the following steps:
the face image of the indoor person is obtained through the image acquisition equipment.
4. The method of controlling an indoor LED lamp according to claim 1 or 2, wherein the expression includes anger, slight, disgust, fear, happiness, sadness, and surprise.
5. A control device of an indoor LED lamp is characterized by comprising:
the light intensity sensor is used for detecting the indoor illumination intensity and sending the detected illumination intensity to the controller;
a controller for comparing the detected illumination intensity to an illumination threshold, the illumination threshold comprising a first threshold and a second threshold, the first threshold being greater than the second threshold;
the controller is further configured to: when the detected illumination intensity is larger than the first threshold value or the detected illumination intensity is smaller than the second threshold value, acquiring a facial image of the indoor person, and identifying the facial expression of the indoor person;
the controller is further configured to: when the facial expression of the indoor personnel is happy, the brightness of the LED lamp is not adjusted; when the facial expression of the indoor personnel is aversion, the brightness of the LED lamp is adjusted.
6. The control device for the indoor LED lamp as claimed in claim 5, wherein the controller is further configured to:
face verification, face detection and expression recognition are carried out through a deep convolutional neural network, confidence coefficients are returned for a series of expressions of all faces on the image, and recognition results are returned through JSON.
7. The control device for the indoor LED lamp as claimed in claim 5 or 6, wherein the controller is further configured to:
the face image of the indoor person is obtained through the image acquisition equipment.
8. The control apparatus of the indoor LED lamp according to claim 5 or 6, wherein the expression includes anger, slight, disgust, fear, happiness, sadness, and surprise.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 4.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1-4 are implemented when the program is executed by the processor.
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| CN202010801898.8A CN111885777A (en) | 2020-08-11 | 2020-08-11 | Control method and device for indoor LED lamp |
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| CN202010801898.8A CN111885777A (en) | 2020-08-11 | 2020-08-11 | Control method and device for indoor LED lamp |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113341477A (en) * | 2021-06-02 | 2021-09-03 | 江苏城乡空间规划设计研究院有限责任公司 | Urban green land protection method and system |
| CN114681258A (en) * | 2020-12-25 | 2022-07-01 | 深圳Tcl新技术有限公司 | Method for adaptively adjusting massage mode and massage equipment |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120268027A1 (en) * | 2009-11-26 | 2012-10-25 | Hyun Min Shin | Energy saving led having dimming function and mood-lighting control function |
| KR20130103985A (en) * | 2012-03-12 | 2013-09-25 | (주)유양디앤유 | Emotional lighting apparatus controllable according to external environment and control method thereof |
| CN104853481A (en) * | 2015-04-01 | 2015-08-19 | 浙江农林大学 | LED mood presenting and adjusting device and method |
| CN109104786A (en) * | 2018-07-24 | 2018-12-28 | 广东金熙商业建设股份有限公司 | A kind of intelligence context aware light source management system |
| CN109743825A (en) * | 2019-03-12 | 2019-05-10 | 深圳市沃特沃德股份有限公司 | Light adjusting method, device, storage medium and intelligent arrangement for reading |
| CN208971833U (en) * | 2018-07-20 | 2019-06-11 | 佛山科学技术学院 | A kind of intelligent sound identification interaction lighting system based on emotion judgment |
| CN110264544A (en) * | 2019-05-30 | 2019-09-20 | 腾讯科技（深圳）有限公司 | Image processing method and device, storage medium and electronic device |
| CN110958750A (en) * | 2018-09-25 | 2020-04-03 | 珠海格力电器股份有限公司 | Lighting equipment control method and device |
| CN110992455A (en) * | 2019-12-08 | 2020-04-10 | 北京中科深智科技有限公司 | Real-time expression capturing method and system |
| CN111191564A (en) * | 2019-12-26 | 2020-05-22 | 三盟科技股份有限公司 | Multi-pose face emotion recognition method and system based on multi-angle neural network |
| CN111275401A (en) * | 2020-01-20 | 2020-06-12 | 上海近屿智能科技有限公司 | Intelligent interviewing method and system based on position relation |
-
2020
- 2020-08-11 CN CN202010801898.8A patent/CN111885777A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120268027A1 (en) * | 2009-11-26 | 2012-10-25 | Hyun Min Shin | Energy saving led having dimming function and mood-lighting control function |
| KR20130103985A (en) * | 2012-03-12 | 2013-09-25 | (주)유양디앤유 | Emotional lighting apparatus controllable according to external environment and control method thereof |
| CN104853481A (en) * | 2015-04-01 | 2015-08-19 | 浙江农林大学 | LED mood presenting and adjusting device and method |
| CN208971833U (en) * | 2018-07-20 | 2019-06-11 | 佛山科学技术学院 | A kind of intelligent sound identification interaction lighting system based on emotion judgment |
| CN109104786A (en) * | 2018-07-24 | 2018-12-28 | 广东金熙商业建设股份有限公司 | A kind of intelligence context aware light source management system |
| CN110958750A (en) * | 2018-09-25 | 2020-04-03 | 珠海格力电器股份有限公司 | Lighting equipment control method and device |
| CN109743825A (en) * | 2019-03-12 | 2019-05-10 | 深圳市沃特沃德股份有限公司 | Light adjusting method, device, storage medium and intelligent arrangement for reading |
| CN110264544A (en) * | 2019-05-30 | 2019-09-20 | 腾讯科技（深圳）有限公司 | Image processing method and device, storage medium and electronic device |
| CN110992455A (en) * | 2019-12-08 | 2020-04-10 | 北京中科深智科技有限公司 | Real-time expression capturing method and system |
| CN111191564A (en) * | 2019-12-26 | 2020-05-22 | 三盟科技股份有限公司 | Multi-pose face emotion recognition method and system based on multi-angle neural network |
| CN111275401A (en) * | 2020-01-20 | 2020-06-12 | 上海近屿智能科技有限公司 | Intelligent interviewing method and system based on position relation |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114681258A (en) * | 2020-12-25 | 2022-07-01 | 深圳Tcl新技术有限公司 | Method for adaptively adjusting massage mode and massage equipment |
| CN114681258B (en) * | 2020-12-25 | 2024-04-30 | 深圳Tcl新技术有限公司 | Method for adaptively adjusting massage mode and massage equipment |
| CN113341477A (en) * | 2021-06-02 | 2021-09-03 | 江苏城乡空间规划设计研究院有限责任公司 | Urban green land protection method and system |
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Application publication date: 20201103 |