Conference light control system and method based on AI vision

Abstract

The invention discloses a conference light control system and method based on AI vision, and relates to the technical field of intelligent lighting, and the system comprises a signal transmitting module which is used for locking a target light signal of to-be-adjusted light equipment and transmitting a target light signal containing preset recognition information; the visual acquisition module is used for acquiring the target optical signal in real time; the AI processing module is used for carrying out dual identification verification on the acquired target light signal, calculating the angle deviation of the target position relative to the current irradiation direction of the light, generating a corresponding light direction control instruction and sending the control instruction to the lamp control panel; the control execution module is used for receiving the light direction control instruction, outputting a driving signal and adjusting a light irradiation angle to accurately focus a target position; the method has the advantages of high efficiency, accuracy and low operation threshold.

Description

Technical Field

[0001] This invention relates to the field of intelligent lighting technology, specifically to a conference lighting control system and method based on AI vision. Background Technology

[0002] In conference room settings, lighting systems are crucial infrastructure for ensuring efficient meetings. Currently, most conference rooms use fixed, high-positioned lighting equipment. To meet the diverse lighting needs of different meeting scenarios (such as presentations, discussions, and video conferences), existing technologies primarily rely on manual adjustment of the lighting direction via remote control. The operation process involves the lighting operator holding a traditional remote control, visually observing the actual lighting position, and continuously pressing buttons on the remote to adjust the lighting angle until the light reaches the desired area.

[0003] However, the existing technical solution has the following significant drawbacks, making it difficult to meet the needs of efficient and precise lighting control in conference rooms: Firstly, it is inefficient to operate: due to the high installation position of the lights, operators need to repeatedly observe and adjust the remote control buttons, and a single light position adjustment often takes tens of seconds or even minutes. Frequent light adjustments in a conference setting will seriously waste time and affect the progress of the meeting; Secondly, it lacks precision: relying on manual observation to determine the light position is easily affected by factors such as ambient light in the conference room (such as natural light from windows and lights from other equipment) and the angle of observation, making it difficult to accurately position the lights. When operating in the target area, issues such as illumination deviation and uneven brightness may occur, affecting the meeting experience. Thirdly, the operation threshold is high: operators need to have certain operating experience and be proficient in the "observation-adjustment-re-observation" cycle. Novices are prone to adjustment errors, increasing personnel training costs and operational difficulty. Fourthly, the adaptability is poor: traditional remote controls usually only support basic directional control (such as up and down, left and right), and cannot flexibly adjust to complex meeting room layouts (such as multi-zone lighting, dynamic tracking lighting). In multi-lamp collaborative control scenarios, problems such as confused light signals and operational errors are prone to occur. Summary of the Invention

[0004] This invention provides a highly efficient, precise, and easy-to-operate conference lighting control system to solve the problems of low operational efficiency and insufficient precision in the existing technology that relies on manual lighting adjustments.

[0005] This invention provides the following technical solution: a conference lighting control system based on AI vision, comprising:

[0006] The signal transmission module is used to lock onto the target light number of the lighting equipment to be adjusted and to transmit a target light signal containing preset identification information;

[0007] The visual acquisition module is used to acquire the target light signal in real time;

[0008] The AI ​​processing module is used to perform dual recognition and verification on the collected target light signal, calculate the angular deviation of the target position relative to the current illumination direction of the light, generate the corresponding light direction control command, and send the control command to the lighting control board.

[0009] The control execution module is used to receive light direction control commands and output drive signals to adjust the light illumination angle to accurately focus on the target position.

[0010] As a further technical solution of the present invention, the signal transmitting module is composed of a remote controller. The remote controller includes a housing, on which a light input button and a start button are provided. A power supply is also provided inside the housing. The remote controller has a built-in signal transmitting unit, which is an invisible light LED bead installed on the remote controller. The invisible light LED bead emits invisible light at a specific flashing frequency.

[0011] As a further technical solution of the present invention, the signal transmitting unit may also be a laser transmitter installed on a remote control, wherein the laser transmitter emits a laser with a specific coded identifier.

[0012] As a further technical solution of the present invention, the visual acquisition module includes a camera installed in the lighting equipment of the conference room. The camera hardware is based on the Hisilicon 3516cv610 chip and a 1080P wide-angle lens. The camera is equipped with a filter for filtering visible light to identify invisible light emitted by invisible light beads at a specific flashing frequency.

[0013] As a further technical solution of the present invention, the control execution module consists of a lighting control board and a lighting drive mechanism of the original lighting equipment in the conference room. The AI ​​processing module is directly connected to the original lighting control board of the lighting equipment through a serial port. The AI ​​processing module sends direction control commands to the lighting control board. After receiving the control commands sent by the AI ​​processing module, the lighting control board controls the lighting drive mechanism to drive the lighting equipment to rotate, thereby adjusting the position of the light illumination.

[0014] This invention also discloses an AI vision-based conference lighting control method applicable to the above-mentioned control system, comprising the following steps:

[0015] S1. Place the remote control at the target location to be illuminated, and transmit a target light signal containing preset recognition information to the vision acquisition module through the remote control;

[0016] S2. The target light signal is acquired in real time using the visual acquisition module and transmitted to the AI ​​processing module;

[0017] The S3 AI processing module performs dual recognition and verification of the target light signal. After confirming the validity of the signal, it calculates the angular deviation of the target position relative to the current illumination direction of the light, generates the corresponding light direction control command, and sends the control command to the lighting control board.

[0018] S4. The control execution module receives the light direction control command and outputs the drive signal to adjust the light illumination angle to accurately focus on the target position.

[0019] As a further technical solution of the present invention, in S1, before placing the remote control at the target position to be illuminated, the operator first inputs the corresponding light number into the remote control according to the lighting device to be adjusted, and then presses the control start button. At this time, the invisible light beads built into the remote control start to flash according to the flashing frequency preset by the user. After the remote control is placed at the target position to be illuminated, it is necessary to ensure that the invisible light beads are facing the camera direction on the corresponding lighting device.

[0020] As a further technical solution of the present invention, in S2, the AI ​​processing module analyzes the collected light signal based on the preset dual recognition rules of visible light and custom flashing frequency: firstly, it filters out non-target signals in the visible light, and secondly, it determines whether the remaining light signal meets the custom flashing frequency of the invisible light lamp bead of the remote control. If both are met, it is determined that the target signal has been identified.

[0021] As a further technical solution of the present invention, in S3, during the adjustment process, the camera provides real-time feedback on the deviation between the light illumination position and the target position until the deviation is less than a preset threshold X, then the adjustment stops and the light positioning is completed.

[0022] As a further technical solution of the present invention, if multiple lighting devices need to be adjusted at the same time, the controller can repeat steps S1-S4 for each lighting device in sequence, or input multiple light numbers at once and set a unified target position, and the cameras can independently identify and perform adjustments.

[0023] The present invention has the following beneficial effects:

[0024] 1. Since the visual acquisition module and AI processing module are integrated into one, namely the AI ​​camera, the target position can be automatically identified and control commands can be generated. There is no need for manual observation and repeated button adjustments, which reduces the manual intervention and shortens the adjustment time, resulting in a significant improvement in operating efficiency. It only takes 3 seconds for a single lighting device to go from start control to complete positioning. Compared with the tens of seconds or even minutes of manual observation and adjustment in the existing technology, the efficiency is improved by more than 10 times.

[0025] 2. After capturing the target light signal, the AI ​​camera will also use the AI ​​processing module to identify the flicker frequency of the target light signal, thereby ensuring that the light signal collected by the camera is correct, effectively filtering out ambient stray light interference and avoiding misjudgment; at the same time, based on the 1080P wide-angle lens and pixel coordinates, the angle deviation is calculated and adjusted to be controlled within ±0.5°, ensuring that the light accurately illuminates the target area.

[0026] 3. Since the AI ​​camera undertakes core tasks such as signal recognition, position calculation, and command generation, it integrates complex adjustment logic into the system, simplifying the manual operation process. This allows lighting adjustment personnel to complete only two steps: "entering the light number and placing the remote control," without the need for professional experience, thus significantly lowering the operational threshold. Attached Figure Description

[0027] Figure 1 This is a flowchart of the system's operation in this invention.

[0028] Figure 2 This is a structural block diagram of the system in this invention. Detailed Implementation

[0029] The technical solutions of the embodiments of this specification will be explained and described below with reference to the accompanying drawings. However, the following embodiments are only preferred embodiments of this specification and not all of them. Other embodiments obtained by those skilled in the art based on the embodiments in the implementation methods without creative effort are all within the protection scope of this specification.

[0030] The terms "first," "second," "third," etc., in the description, claims, and accompanying drawings are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such processes, methods, products, or apparatus.

[0031] In the following description, terms such as “inner,” “outer,” “upper,” “lower,” “left,” and “right” are used only to facilitate the description of the embodiments and to simplify the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this specification.

[0032] The data involved in this application are all information and data authorized by users or fully authorized by all parties, and the collection, use, and processing of relevant data comply with the relevant laws, regulations, and standards of relevant countries and regions.

[0033] Before introducing the technical solutions described in this specification, the application scenarios of the technical solutions and related technologies are introduced.

[0034] In the scenario of a regular meeting / group discussion, many people sit around the conference table. It is necessary to ensure uniform lighting on the desktop documents and the faces of the participants to avoid local shadows affecting communication. In the scenario of a speech / presentation, the core lighting area is around the podium, whiteboard, or projection screen. It is necessary to avoid direct light shining into the eyes of the speaker while ensuring that the displayed content (documents, PPT) is clearly visible. In the scenario of a video conference, it is necessary to meet the shooting requirements of the camera, with uniform lighting on the faces of the participants (avoiding backlighting and shadows), and soft and non-reflective lighting in the background area to ensure that the remote end can clearly see the expressions of the speakers and the desktop materials. In the scenario of a large conference room / multi-area linkage, the conference room has a large area and a large number of lighting devices. It is necessary to achieve synchronous or differential control of multiple lights. However, manually adjusting the lighting position and angle has many drawbacks. Therefore, this application proposes a conference lighting control system based on AI vision, which focuses on conference rooms and similar indoor gathering scenarios, and provides accurate and efficient lighting solutions for the differential lighting requirements of different conference types.

[0035] Please refer to the appendix Figure 1-2 , this specification provides a conference lighting control system based on AI vision. The remote control is used as a locator for the target position. The visual acquisition module collects the target optical signal emitted by the signal emission unit, and the AI processing module analyzes and calculates the collected target optical signal and generates the corresponding lighting direction control instruction, and adjusts the lighting irradiation angle through the control instruction, which has the advantages of accurate positioning and high adjustment efficiency. At the same time, the system also has a low operation threshold, low hardware cost, strong compatibility, and meets the requirements of complex scenarios; it includes the following four modules:

[0036] The signal emission module is used to lock the target lamp number of the lighting device to be adjusted and emit the target optical signal containing the preset identification information;

[0037] The visual acquisition module is used to collect the target optical signal in real time;

[0038] The AI processing module is used to perform double identification and verification on the collected target optical signal, calculate the angle deviation of the target position relative to the current lighting irradiation direction, generate the corresponding lighting direction control instruction, and send the control instruction to the lamp control board;

[0039] The control execution module is used to receive light direction control commands and output drive signals to adjust the light illumination angle to accurately focus on the target position.

[0040] Example 1

[0041] The signal transmitting module consists of a remote controller, which includes a housing. The housing has a light input button and a start button. The light input button includes 0-9 number keys and supports single and dual light input. The housing also contains a power supply for powering the electrical components inside the remote controller. The remote controller has a built-in signal transmitting unit that transmits a target light signal containing preset identification information.

[0042] The signal transmitting unit is an invisible light LED bead mounted on the remote control. The invisible light LED bead emits invisible light at a specific flashing frequency. Preferably, the frequency of the invisible light emitted by the invisible light LED bead is adjustable, and the frequency range can be set to 0.5-10Hz. Users can customize the flashing frequency of the invisible light LED bead, such as 1Hz, 2Hz, 5Hz, etc. The invisible light LED bead emits infrared invisible light with a wavelength of 940nm. This infrared invisible light can be collected in time by the visual acquisition module, and at the same time, it can avoid interfering with the ambient light in the conference room.

[0043] Specifically, the remote control housing is made of ABS material (120mm×60mm×20mm). The front features 0-9 number keys for inputting indicator lights and a red start button. The side has a frequency adjustment DIP switch (5 levels, corresponding to 0.5Hz, 1Hz, 2Hz, 5Hz, and 10Hz). The housing contains one infrared invisible light LED, a button battery, and a frequency control chip. When the indicator light "3" is input and the start button is pressed, the invisible light LED flashes at the 2Hz frequency set by the DIP switch (0.5 seconds cycle, 0.25 seconds on, 0.25 seconds off).

[0044] The visual acquisition module includes a camera installed on the conference room lighting equipment. The camera hardware is based on the Hisilicon 3516cv610 chip and a 1080P wide-angle lens. The camera is equipped with a filter for filtering visible light to identify invisible light emitted by invisible light beads at a specific flicker frequency. Preferably, one camera is fixedly installed on each conference room lighting equipment. The filter inside the camera can filter out ambient stray light and only allow invisible light with a specific frequency to pass through, thus ensuring the capture of the target light signal and enabling the AI ​​processing module to judge the target light signal information.

[0045] Specifically, each conference room lighting unit has a camera mounted on top using M3 screws. The camera hardware uses a Hisilicon 3516cv610 main chip, paired with a 1080P wide-angle lens; this type of camera is also known as an AI camera. The camera lens has a built-in dedicated narrowband filter with a bandwidth of 935-945nm, allowing only infrared light with a wavelength of around 940nm and custom-frequency flickering light to pass through, filtering out ambient light such as natural light from windows and projector light. The AI ​​processing module connects directly to the existing lighting control board of the lighting equipment via a serial port. The serial communication baud rate is set to 9600bps, allowing real-time sending of horizontal / vertical control commands to the lighting control board, such as "rotate horizontally to the left by 15°" or "rotate vertically downwards by 8°".

[0046] After the implementation of the aforementioned conference lighting control system, the integration of the visual acquisition module and AI processing module into a single unit—the AI ​​camera—automatically identifies the target location and generates control commands. This eliminates the need for manual observation and repeated button adjustments, reducing manual intervention and adjustment time, thus significantly improving operational efficiency. A single lighting device can complete positioning from start-up control in just 3 seconds, compared to the tens of seconds or even minutes required for manual observation and adjustment in existing technologies—an efficiency improvement of more than 10 times. After capturing the target light signal, the AI ​​camera further processes it using the AI ​​processing module to identify the flicker frequency of the target light signal, ensuring the accuracy of the captured light signal and effectively filtering out ambient light interference to avoid misjudgments. Simultaneously, based on the 1080P wide-angle lens and pixel coordinates, the angle deviation can be calculated and controlled within ±0.5°, ensuring precise illumination of the target area. Since the AI ​​camera handles core tasks such as signal recognition, position calculation, and command generation, it integrates complex adjustment logic into the system, simplifying the manual operation process. Lighting adjustment personnel only need to complete two steps: "inputting the light number and placing the remote control," requiring no professional experience and significantly lowering the operational threshold.

[0047] The control execution module consists of the existing lighting control board and lighting drive mechanism of the conference room's lighting equipment. The AI ​​processing module is directly connected to the existing lighting control board via a serial port. The AI ​​processing module sends direction control commands to the lighting control board. After receiving the control commands from the AI ​​processing module, the lighting control board controls the lighting drive mechanism to rotate the lighting equipment, thereby adjusting the lighting position. The lighting drive mechanism is a stepper motor. When the lighting control board receives the control commands, the stepper motor drives the lighting equipment to rotate, thus adjusting the lighting position.

[0048] Specifically, the existing 28BYJ-48 stepper motor (step angle 5.625° / 64, reduction ratio 1:64) in the conference room is used as the lighting drive mechanism. The motor output shaft is connected to the rotating bracket of the lighting equipment through a coupling, which can realize bidirectional angle adjustment of 0-360° horizontally and 0-90° vertically.

[0049] Since the AI ​​camera is based on the HiSilicon 3516cv610 chip, it has the advantages of small size and low cost, and is suitable for the limited installation space of lighting equipment. There is no need to add a complicated control system to the lighting equipment. At the same time, it can be directly connected to the original lighting control board through the serial port, without the need for large-scale modification of the existing lighting equipment, which reduces the cost of hardware replacement and construction difficulty, and has strong compatibility.

[0050] Because the system supports independent control of a single light and collaborative control of multiple lights, the position of the lights can be flexibly adjusted for different meeting scenarios (such as speeches, group discussions, and video conferences). The remote control supports a customizable flashing frequency, which can be adjusted according to the ambient light intensity of the meeting room, further improving the stability of signal recognition. Compared with traditional remote controls that only support basic directional control, the system has significantly enhanced adaptability and meets the needs of complex scenarios.

[0051] Because the AI ​​camera only starts working at high load when adjusting the lights, it can enter a low-power standby state after completing the positioning; the remote control uses invisible light beads, which consumes far less energy than traditional visible light indicator lights; at the same time, it reduces the frequent start and stop of the light drive mechanism (stepper motor) caused by repeated manual adjustments, thus extending the service life of the equipment.

[0052] Example 2

[0053] The difference between this embodiment and embodiment 1 is that the signal transmitting unit can also be a laser transmitter mounted on a remote control. The laser transmitter emits a laser with a specific coded identifier. In this embodiment, there is no need to set a filter on the camera. The laser transmitter emits a narrow beam of laser of a specific color (such as red), and the laser beam is set with a unique coded identifier (such as pulse code). The AI ​​processing module identifies the target signal through a dual rule of "laser color and coded identifier": first, it identifies the laser of the target color, and second, it determines whether the laser matches the corresponding coded identifier. If both are satisfied, it is determined that the target signal has been identified.

[0054] This invention also discloses an AI vision-based conference lighting control method applicable to the above-mentioned control system, comprising the following steps:

[0055] S1. Place the remote control at the target location to be illuminated, and transmit the target light signal containing preset recognition information to the vision acquisition module through the remote control.

[0056] In S1, before placing the remote control on the target location to be illuminated, the operator first inputs the corresponding light number into the remote control according to the lighting equipment to be adjusted, such as "Light No. 1" or "Light No. 5"; then presses the control start button, at which time the invisible light beads built into the remote control begin to flash according to the flashing frequency preset by the user; after the remote control is placed on the target location to be illuminated (such as the tabletop of a lectern or a certain area of ​​a conference table), it is necessary to ensure that the invisible light beads are facing the camera direction on the corresponding lighting equipment.

[0057] S2. The target light signal is acquired in real time using the visual acquisition module and transmitted to the AI ​​processing module.

[0058] In S2, the AI ​​processing module analyzes the collected light signals based on preset dual recognition rules of visible light and custom flashing frequency: first, it filters out non-target signals in the visible light, and then determines whether the remaining light signals meet the custom flashing frequency of the invisible light LED beads of the remote control. If both are met, the target signal is identified. This method of light signal recognition can avoid misjudgment caused by ambient light (such as window reflections and indicator lights of other devices).

[0059] The S3 and AI processing modules perform dual recognition and verification of the target light signal. After confirming the validity of the signal, they calculate the angular deviation of the target position relative to the current illumination direction of the light, generate the corresponding light direction control command, and send the control command to the lighting control board.

[0060] In S3, during the adjustment process, the camera provides real-time feedback on the deviation between the light illumination position and the target position until the deviation is less than a preset threshold X, at which point the adjustment stops and the light positioning is completed; preferably, the threshold X is ±0.5°.

[0061] S4. The control execution module receives the light direction control command and outputs the drive signal to adjust the light illumination angle to accurately focus on the target position.

[0062] As a further technical solution of the present invention, if multiple lighting devices need to be adjusted at the same time, the controller can repeat steps S1-S4 for each lighting device in sequence, or input multiple light numbers at once and set a unified target position, and the cameras can independently identify and perform adjustments.

[0063] The above method will be further explained below with reference to specific implementation scenarios.

[0064] Scenario: A small 15㎡ conference room needs precise lighting for the speaker's presentation area (where the speaker sits on the podium). The conference room has one conference light that can be adjusted horizontally and vertically (light number 1). The light driver is a 28BYJ-48 stepper motor. The above method is used to adjust the position of the light.

[0065] First, turn on the power to the conference lights and control system. Then, the speaker holds the remote control and presses the "Light 1" button and the start button. The invisible light beads built into the remote control start to flash according to the flashing frequency preset by the user. The speaker places the remote control on the lectern table, while the invisible light beads face the camera on the conference lights.

[0066] The visual acquisition module filters out interference from ceiling lights, natural light from outside windows, etc., using a filter to capture only the target light signal emitted by invisible light beads. The AI ​​processing module first filters out the valid light signal through wavelength matching, and then analyzes the frequency to complete double verification. After confirming the legality of the signal, it calculates the deviation between the current illumination angle of the light and the target position in real time and generates an adjustment command. Assuming the initial situation is "the illumination angle is biased downward by 2.3°", the generated adjustment command is "rotate upward by 2.3°".

[0067] After receiving the adjustment instructions from the AI ​​processing module, the control execution module outputs a drive signal to drive the stepper motor to complete the "upward rotation of 2.3°" within 2.8 seconds.

[0068] After the light illumination angle is adjusted, the visual acquisition module collects the target light signal again, and the AI ​​processing module verifies the lighting accuracy, showing a deviation of 0.3° (≤±0.5° threshold). The system then stably maintains the current lighting state.

[0069] Where there is no conflict, the technical features in this embodiment and implementation scheme can be combined arbitrarily.

[0070] The embodiments described above are merely preferred embodiments of this specification and are not intended to limit the scope of this specification. Any modifications and improvements made by those skilled in the art to the technical solutions of this specification without departing from the spirit of this specification should fall within the protection scope defined by the claims of this specification.

Claims

1. An AI vision-based conference light control system, characterized in that, The application relates to a conference light control method based on AI vision. The signal emitting module is used for locking a target light signal of a light device to be adjusted and emitting a target light signal containing preset identification information. The visual acquisition module is used for acquiring the target light signal in real time. The AI processing module is used for carrying out double identification verification on the acquired target light signal, calculating an angle deviation of a target position relative to a current light irradiation direction, generating a corresponding light direction control instruction, and sending the control instruction to a lamp control panel. The control execution module is used for receiving the light direction control instruction and outputting a driving signal to adjust the light irradiation angle to accurately focus on the target position.

2. The AI vision based conference lighting control system according to claim 1, wherein, The signal emitting module is composed of a remote controller, the remote controller comprises a shell, light signal input keys and a starting key are arranged on the shell, a power supply is further arranged in the shell, a signal emitting unit is arranged in the remote controller, the signal emitting unit is an invisible light bead arranged on the remote controller, and the invisible light bead emits invisible light with a specific flickering frequency.

3. The AI vision based conference lighting control system according to claim 2, wherein, The signal emitting unit can also be a laser emitter arranged on the remote controller, and the laser emitter emits laser with a specific coded mark.

4. The AI vision based conference lighting control system according to claim 2, wherein, The visual acquisition module comprises a camera arranged on a conference room light device, the camera hardware is based on a HiSilicon 3516cv610 chip and a 1080P wide-angle lens, and a filter for filtering visible light is arranged in the camera to identify invisible light with a specific flickering frequency emitted by the invisible light bead.

5. The AI vision based conference lighting control system according to claim 4, wherein, The control execution module is composed of a lamp control panel and a light driving mechanism of the original light device in the conference room, the AI processing module is directly connected with the original lamp control panel of the light device through a serial port, the AI processing module sends a direction control instruction to the lamp control panel, and after the lamp control panel receives the control instruction sent by the AI processing module, the lamp control panel controls the light driving mechanism to drive the light device to rotate, thereby realizing adjustment of the light irradiation position.

6. A conference light control method based on AI vision, which is suitable for the conference light control system in any one of claims 1-5, and comprises the following steps: S1, placing a remote controller at a target position to be irradiated, and emitting a target light signal containing preset identification information to the visual acquisition module through the remote controller; S2, acquiring the target light signal in real time by using the visual acquisition module and transmitting the target light signal to the AI processing module; S3, carrying out double identification verification on the target light signal by the AI processing module, calculating an angle deviation of a target position relative to a current light irradiation direction after confirming the signal validity, generating a corresponding light direction control instruction, and sending the control instruction to the lamp control panel; S4, receiving the light direction control instruction by the control execution module and outputting a driving signal to adjust the light irradiation angle to accurately focus on the target position.

7. The AI vision-based conference light control method according to claim 6, wherein, In S1, before placing the remote controller at the target position to be irradiated, an operator first inputs corresponding light signals into the remote controller according to the light device to be adjusted, and then presses a starting key, at this moment, the invisible light bead arranged in the remote controller starts flickering according to the flickering frequency preset by the user; when the remote controller is placed at the target position to be irradiated, the invisible light bead needs to be ensured to face the camera on the corresponding light device.

8. The AI vision-based conference light control method according to claim 6, wherein, In S2, the AI processing module analyzes the collected light signals based on the preset dual recognition rule of visible light and custom flicker frequency: first, filter the non-target signals in the visible light, and second, judge whether the remaining light signals meet the custom flicker frequency of the remote controller invisible light beads. If both meet, it is determined that the target signal is recognized. 9.The AI vision-based conference light control method according to claim 6, wherein, In S3, during the adjustment process, the camera real-time feedbacks the deviation between the light irradiation position and the target position until the deviation is less than the preset threshold X, then the adjustment is stopped, and the light positioning is completed.

10. The AI vision-based conference lighting control method of claim 6, wherein, If multiple light equipment need to be adjusted at the same time, the control personnel can repeat the steps S1-S4 for each light equipment in turn, or input multiple light numbers at once and set a unified target position, and the camera recognizes and executes the adjustment independently.

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