A method and system for controlling light

Abstract

This invention relates to the field of lighting control technology, specifically a lighting control method and system. The lighting control method includes the following steps: obtaining the influence range of the lighting; identifying several designated targets within a certain range; marking each designated target; obtaining the current distance between each designated target and the lighting source; obtaining the current output power of the lighting source; and outputting a protection signal when a marker enters the influence range, and the current distance is less than a preset distance threshold, and the output power is greater than a preset power threshold. This invention solves the complex problem of the degree of lighting effect in a simple way, replacing complex energy density calculations, and intuitively and quickly achieves safety judgment, providing a new perspective on solving the impact of lighting sources on designated targets.

Description

Technical Field

[0001] This invention relates to the field of lighting control technology, and more specifically, to a lighting control method. Background Technology

[0002] Lighting has a wide range of applications, especially on stage. Lighting can create various atmospheres; a good lighting atmosphere enhances and complements a scene, attracting the audience's attention and generating resonance. To satisfy the diversity of lighting, different combinations are needed to achieve various effects. High-quality stage lighting requires an effective combination of various lights in terms of power, type, and effects, and precise program control to achieve the best lighting results. Good stage lighting can fully showcase the desired scene on stage. Through a variety of lighting effects and color combinations, using equipment such as beam lights, moving head lights, and laser lights to create static or dynamic scenes, different color combinations and design schemes can present different atmospheres, more fully showcasing the beauty of the stage.

[0003] However, these lights go beyond traditional lighting applications; their effects are more flexible, and their applicability is broader, often accompanied by the use of high-power lights. High-power output lights produce high-intensity light, which can easily cause burns to the human body. If it shines into the eyes, it can easily cause eye damage in a short time. Even when it shines on the surface of an object, it can cause the surface to heat up, potentially igniting flammable materials. In the combined use of lights, in addition to high-power lights, laser light sources are often also included. Whether it's high-power light sources or laser light sources, high-power illumination is unavoidable to be effective on a large stage. To ensure the safety of people and objects within the area affected by the lights and to eliminate potential safety hazards, the lights need to be managed properly. Although there are similar safety protection technologies in the existing field, they are usually computationally complex and have slow response times. Summary of the Invention

[0004] The present invention aims to overcome at least one of the defects of the prior art and provide a lighting control method to solve the safety problems in the existing lighting environment.

[0005] The technical solution adopted by this invention is a lighting control method, characterized by comprising the following steps:

[0006] The system acquires the influence range of the light illumination; identifies several designated targets within a certain range; marks each designated target; acquires the current distance between each designated target and the light source; acquires the current output power of the light source; and outputs a protection signal when a mark enters the influence range, the current distance is less than a preset distance threshold, and the output power is greater than a preset power threshold.

[0007] Before obtaining the influence range of the light, the following steps are also included: obtaining the operating status of the light; the operating status includes dynamic illumination part and static illumination part; predicting the motion trajectory of the light source in the dynamic illumination part through the input light illumination angle parameters; and determining whether the marker has entered the influence range by analyzing whether the motion trajectory safely avoids the marker.

[0008] To obtain the influence range of the light, specifically, an image acquisition device that moves with the light source is set up near the current light source; a current image with light spots is acquired along the illumination direction of the light source; the shape of the light spots is separated from the current image, and the boundary lines of the light spots are marked; the influence range of the light is obtained by framing the boundary lines.

[0009] After marking the boundary line of the light spot, the steps include: obtaining the theoretical shape of the light spot based on the beam shape of the light source and the shape of the light-shielding components in the light path; and correcting the boundary line based on the theoretical shape to eliminate irregular and / or occluded parts in the boundary line.

[0010] For each specified target, a label is generated. Specifically, each specified target is obtained from the current image through neural network target detection, and the current distance and current position are obtained. Based on the current distance and current position, a bounding box is drawn for each specified target according to its size. After the bounding box is drawn, a label corresponding to the specified target is generated. The label changes as the specified target changes.

[0011] The process involves outlining each specified target based on its current distance and position. Specifically, the relative position between the specified target and the boundary line is obtained to determine the center of the outline; the size of the outline is determined based on the distance between the specified target and the light source; and the outline is completed based on the center of the outline and its size.

[0012] To determine if a marker has entered the influence range and if the current distance is less than a preset distance threshold, the system determines whether the marker has entered the influence range by checking if there is an intersection between the outline and the boundary line; and it quickly determines whether the current distance is less than the preset distance threshold by checking the change in the size of the outline.

[0013] Before identifying several specified targets within a certain range, the process includes the following steps: inputting the specified targets to be identified; inputting several multi-angle training images of each specified target; labeling the features of the training images with categories, sizes, and distances; training the neural network based on the images and labels; and identifying several specified targets within a certain range, specifically, identifying several specified targets within a certain range through the neural network.

[0014] A lighting control method further includes the steps of: setting a safe operating range for the light source; detecting whether the influence range of the light source is within the safe operating range; and if not, outputting a protection signal.

[0015] After outputting the protection signal, the process also includes the step of executing a safety strategy based on the protection signal; the safety strategy includes reducing the output power and / or increasing the projection angle.

[0016] Furthermore, a lighting control system is provided, comprising: a motor, a light source, a camera, a main controller, a motor controller, a light source controller, and a target detector, as well as the aforementioned lighting control method;

[0017] The camera acquires the influence range of the light illumination and several designated targets within a certain range; the target detector marks each designated target and acquires the current distance between each designated target and the light source; the light source controller acquires the current output power of the light source.

[0018] When the marker enters the influence range, the target detector sends a first signal to the main controller; when the current distance is less than a preset distance threshold, the target detector sends a second signal to the main controller; when the output power is greater than a preset power threshold, the light source controller sends a third signal to the main controller; when the main controller receives the first, second, and third signals simultaneously, it outputs a protection signal.

[0019] Compared with existing technologies, the beneficial effects of this invention are as follows: By directly displaying the specific information of the specified target during the detection process through marking, it is helpful to quickly eliminate and extract a large number of specified targets that need to be tracked, thereby reducing the computational difficulty; by using the three conditions of influence range, current distance and output power, it solves the problem of the complex degree of light irradiation in a simple way, replacing the complex energy density calculation, and intuitively and quickly realizes the judgment of safety, providing a new perspective on solving the influence of light source on specified targets. Attached Figure Description

[0020] Figure 1 This is a flowchart of the control method in this invention.

[0021] Figure 2 This is a schematic diagram of the control system in this invention.

[0022] Figure 3 This is a schematic diagram of the on-site tracing and light spot boundary lines in this invention.

[0023] Figure 4 This is a physical diagram of the lighting control system in this invention.

[0024] Figure 5 This is an internal schematic diagram of the lighting control system in this invention.

[0025] Explanation of reference numerals in the attached diagram: Light source 100, camera 200, motor 300. Detailed Implementation

[0026] The accompanying drawings are for illustrative purposes only and should not be construed as limiting the invention. To better illustrate the following embodiments, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual product dimensions; it is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.

[0027] Example 1

[0028] like Figure 1 As shown, this embodiment is a lighting control method including the following steps: obtaining the influence range of the light illumination; identifying several designated targets within a certain range; marking each designated target; obtaining the current distance between each designated target and the light source; obtaining the current output power of the light source; and outputting a protection signal when the mark enters the influence range, and the current distance is less than a preset distance threshold, and the output power is greater than a preset power threshold.

[0029] The light source can be a high-powered spotlight or a laser light, etc. The affected area of ​​the light source refers to the area illuminated during the illumination process. Through image capture and neural network analysis, various designated targets within a certain range can be quickly identified. Designated targets refer to flammable materials that may heat up and burn under the influence of the light source, people or other living beings that could be harmed, or reflective objects that cause irregular light dispersion, making high-power light uncontrollable. The area for acquiring designated targets is no smaller than the illuminated area of ​​the light source. Each designated target entering the range of the neural network needs to be individually marked. The marking records the distance information of the designated target and changes continuously as the designated target changes.

[0030] Because distance information and images exhibit certain patterns of change, neural networks can rapidly update the labeled information. A protection signal is used to trigger the light's protection mechanism, ensuring protection during the illumination of other targets. Triggering this protection signal requires three conditions to be met simultaneously: first, the target must be within the light's illumination range (generally referring to the light spot); second, the distance between the target and the light source must be less than a preset safety threshold, typically identified by a neural network; and finally, the current light source's output power must be less than the preset safety threshold. Here, output power refers to the power preset in the program, not the actual power.

[0031] Before obtaining the influence range of the light, the following steps are also included: obtaining the operating status of the light; the operating status includes dynamic illumination part and static illumination part; predicting the motion trajectory of the light source in the dynamic illumination part through the input light illumination angle parameters; and determining whether the marker has entered the influence range by analyzing whether the motion trajectory safely avoids the marker.

[0032] The motion state is the preset state of the light source, the state in which the light is about to be emitted. It is generally divided into moving illumination state and stationary illumination state, but a common combination is the integration of both, encompassing both dynamic and static illumination processes. The moving illumination process is accompanied by the trajectory of the light source's movement. By analyzing this trajectory, the safety of the light source's illumination can be more accurately controlled and assessed. Because the speed of movement varies, dynamic illumination cannot determine the light spot first and then whether it enters the affected area, as is the case with static illumination. Instead, it uses the trajectory to predict whether the designated target falls within the affected area, thus compensating for the difficulty in determining whether a designated target falls within the affected area during movement.

[0033] To obtain the influence range of the light, specifically, an image acquisition device that moves with the light source is set up near the current light source; a current image with light spots is acquired along the illumination direction of the light source; the shape of the light spots is separated from the current image, and the boundary lines of the light spots are marked; the influence range of the light is obtained by framing the boundary lines.

[0034] Setting up the image acquisition device near the current light source actually refers to its proximity to the lamp head. The image acquisition device typically uses a camera, mounted at the lamp head location, aligned with the projection direction. Since the light spot and the target image originate from the same image, they are highly comparable, eliminating the need for further relative position analysis. This meets the requirement for rapid distance determination between the light spot and the target in real-time detection, simplifying analysis and quickly determining whether a protection signal needs to be issued and implementing security strategies. Light spot recognition can employ image segmentation techniques, including but not limited to brightness threshold segmentation, edge detection segmentation, and deep learning segmentation algorithms. In practice, the light source does not directly use a laser beam; instead, the laser light source passes through a filter and excitation material to form a white luminous surface, which is then projected as a white circular light spot through an imaging lens. By further defining the position and direction of the image acquisition device, the image size is reduced, decreasing the required analysis and computational load, while simultaneously increasing image accuracy and effectiveness and reducing useless image portions. This achieves precise acquisition and efficient analysis.

[0035] After marking the boundary line of the light spot, the steps include: obtaining the theoretical shape of the light spot based on the beam shape of the light source and the shape of the light-shielding components in the light path; and correcting the boundary line based on the theoretical shape to eliminate irregular and / or occluded parts in the boundary line.

[0036] In practical use, the light spot is easily obstructed by the designated target or other targets, and the boundary may also be slightly blurred or irregular due to lens limitations. Since incomplete or irregular boundaries often hinder the identification of the designated target, correcting and completing the boundary line is of practical significance. Correcting the boundary line helps eliminate problems caused by occlusion, such as inaccurate analysis and light interference, making the judgment process more accurate.

[0037] Each specified target is labeled. Specifically, each specified target is obtained from the current image through neural network target detection, and the current distance and current position are obtained; a bounding box is drawn for each specified target based on the current distance and current position; the bounding box is formed to form the label corresponding to the specified target; the label changes as the specified target changes.

[0038] The bounding box accurately identifies the location of a specified target, and further, the size of the bounding box reflects the distance between the target and the light source, achieving a concise analysis interface. The simple bounding box display fully reflects the relative relationship between the target and the light source, making it intuitive and convenient for monitoring. Furthermore, the size of the bounding box reflects the distance, consistent with the distance variation patterns in the image, exhibiting a clear commonality that facilitates more accurate estimation by the neural network with smaller errors.

[0039] The process involves outlining each specified target based on its current distance and position. Specifically, the relative position between the specified target and the boundary line is obtained to determine the center of the outline; the size of the outline is determined based on the distance between the specified target and the light source; and the outline is completed based on the center of the outline and its size.

[0040] To determine if a marker has entered the influence range and if the current distance is less than a preset distance threshold, the system determines whether the marker has entered the influence range by checking if there is an intersection between the outline and the boundary line; and it quickly determines whether the current distance is less than the preset distance threshold by checking the change in the size of the outline.

[0041] Before identifying several specified targets within a certain range, the process also includes the step of inputting the specified targets to be identified.

[0042] Input several multi-angle training images of each specified target; label the features of the training images with category, size and distance; train the neural network based on the images and labels; identify several specified targets within a certain range, specifically, identify several specified targets within a certain range through the neural network.

[0043] Specifically, target detection and ranging can be based on deep learning neural networks for target detection, and the detection algorithms include, but are not limited to, SSD and YOLO. Flammable materials can refer to items such as curtains, sofas, and chairs.

[0044] The lighting control method further includes the steps of: setting the safe operating range of the light source; detecting whether the influence range of the light source is within the safe operating range; if not, outputting a protection signal.

[0045] In actual lighting applications, such as stage lights, the beam of light is generally limited to the stage. The stage area is defined as a safe operating range, limited by the rotation range of the light head. For safety, the light source should not be projected onto the audience area or cameras filming the stage. When a stage light is detected rotating to the angle corresponding to the audience area or camera, a protection signal is triggered. This is unrelated to the designated target, but rather to the movement of the light source. The setting of the safe operating range creates an additional, independent, redundant protection mechanism, further enhancing the overall system's safety during use.

[0046] After outputting the protection signal, the process also includes the step of executing a safety strategy based on the protection signal; the safety strategy includes reducing the output power and / or increasing the projection angle.

[0047] Example 2

[0048] like Figure 4 and Figure 5As shown, a lighting control system includes: a motor 300, a light source 100, a camera 200, a main controller, a motor 300 controller, a light source controller, and a target detector. The motor 300 controls the rotation of the light source 100. The camera 200 is mounted on the lamp head of the light source 100 for capturing light spots and detecting designated targets. The main controller receives signal input from a control console to control the power and movement of the light source 100. The motor 300 controller controls the movement of the motor 300. The light source controller controls the power and other changes of the light source. The target detector analyzes the images from the camera 200 to detect designated targets. A lighting control method is stored in the main controller and executed by the main controller.

[0049] Before use, deep learning of the neural network is required for the camera 200 and the object detector. This involves using pre-taken photos and inputting information such as the object's location, size, category, and distance. This allows for accurate identification of the object's type and distance when it is seen again later. In practice, targets that need to be safely avoided, such as people or flammable materials, are identified. The target is then photographed from multiple angles using a mobile phone, and each photo is labeled with its location, size, category, and distance. After the object detector identifies the target, the neural network is repeatedly trained until the loss function between the predicted and training values ​​is less than the target value, thus completing the training and deployment.

[0050] In actual use, the main controller first acquires the operating status of the light source 100 to confirm its operating status. If it is in motion, the target detector predicts the trajectory of the light source 100 in the dynamically illuminated area using the input light illumination angle parameters. By analyzing whether the trajectory safely avoids the current marker of the designated target, it determines whether the designated target has entered the influence range. If the light source 100 is stationary, the camera 200 acquires a current image with a light spot along the illumination direction of the light source 100. The target detector separates the shape of the light spot from the current image and marks its boundary line. The influence range of the light is obtained by defining the boundary line.

[0051] After marking the boundary line of the light spot, the process further includes the following steps: the target detector obtains the theoretical shape of the light spot based on the beam shape of the light source 100 and the shape of the light-shielding components in the optical path; the boundary line is corrected according to the theoretical shape to eliminate irregular and occluded parts, thereby obtaining a regular and complete boundary line to determine the influence range of the light. (See...) Figure 3As shown, the ellipse forming the dashed line in the figure represents the area of ​​influence. The target detector, through camera 200, acquires each specified target within a certain range and marks them according to the actual state of the specified targets, such as distance and size. Specifically, it obtains each specified target from the current image through neural network target detection and calculates the current distance and current position; it then performs size matching bounding boxes on each specified target based on the current distance and current position; after bounding, it forms a label corresponding to the specified target; the label changes as the specified target changes.

[0052] Based on the current distance and current position, a bounding box is drawn for each specified target to match its size. Specifically, the target detector obtains the relative position between the specified target and the boundary line to determine the position center of the bounding box; the target detector determines the size of the bounding box based on the distance between the specified target and the light source 100; the bounding box is completed based on the position center and size of the bounding box, forming a rectangular marker, as shown in [reference needed]. Figure 3 As shown, the box can be a marker for a person or an object. In addition to outputting a protection signal based on the above judgment, the light source 100 also sets a safe operating range for itself; it detects whether the influence range of the light source 100 is within the safe operating range. If the movement of the light source 100 exceeds the safe operating range, a protection signal is output.

[0053] The safe operating range is set within the motor 300 controller. The safe operating range is distinguished by detecting the rotation range of the lamp head of the light source 100 and the controlled rotation range. When the motor 300 controller detects that the lamp head has entered an unsafe range, it sends a protection signal to the main controller.

[0054] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the technical solution of the present invention, and are not intended to limit the specific implementation of the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the claims of the present invention should be included within the protection scope of the claims of the present invention.

Claims

1. A lighting control method, characterized in that, Includes the following steps: To determine the range of influence of the light illumination; Identify several specified targets within a certain range; Mark each specified target and obtain the current distance between each specified target and the light source; Get the current output power of the light source; When the marker enters the influence range, and the current distance is less than a preset distance threshold, and the output power is greater than a preset power threshold, a protection signal is output. To obtain the influence range of the light, specifically, an image acquisition device that moves with the light source is set up near the current light source; a current image with light spots is acquired along the illumination direction of the light source; the shape of the light spots is separated from the current image, and the boundary lines of the light spots are marked; the influence range of the light is obtained by framing the boundary lines. Each specified target is labeled. Specifically, each specified target is obtained from the current image through neural network target detection, and its current distance and current position are obtained. Based on the current distance and current position, a bounding box is drawn for each specified target according to its size. After the bounding box is drawn, a label corresponding to the specified target is formed. The label changes as the specified target changes. Before determining the range of influence of the light, the following steps are also included: Obtain the operating status of the lights; The operating status includes both dynamic and static irradiation components; Predict the motion trajectory of the light source in the dynamic illumination section by inputting the light illumination angle parameters; By analyzing whether the movement trajectory safely avoids the marker, a judgment can be made as to whether the marker has entered the area of ​​influence.

2. The lighting control method according to claim 1, characterized in that, After marking the boundary line of the light spot, the following steps are also included: The theoretical shape of the light spot is obtained based on the beam shape of the light source and the shape of the light-shielding components in the light path; The boundary line is corrected based on the theoretical shape to eliminate irregular and / or occluded parts of the boundary line.

3. The lighting control method according to claim 1, characterized in that, The system determines if a marker has entered the affected area and if the current distance is less than a preset distance threshold. Specifically, Determine whether the mark is within the affected area by whether the outline and the boundary line intersect; The size of the outline can be changed to quickly determine whether the current distance is less than a preset distance threshold.

4. A lighting control method according to any one of claims 1-3, characterized in that, Before identifying several specified targets within a certain range, the following steps are also included: Input the specified target to be identified; Input several training images of each specified target from multiple angles; The features of the training images are labeled with category, size, and distance; Neural network training is performed based on images and annotations; Identify several specified targets within a certain range, specifically: A neural network is used to identify several specified targets within a certain range.

5. A lighting control method according to any one of claims 1-3, characterized in that, It also includes the following steps: Define the safe operating range of the light source; Check whether the area affected by the light source is within the safe operating range; If not, output a protection signal.

6. A lighting control method according to any one of claims 1-3, characterized in that, After outputting the protection signal, the following steps are also included: Execute security policies based on protection signals; Safety strategies include: reducing output power, And / or increase the projection angle.

7. A lighting control system, comprising: The device comprises a motor, a light source, a camera, a main controller, a motor controller, a light source controller, and a target detector, characterized in that it further comprises: a lighting control method as described in any one of claims 1-6; The camera acquires the range of influence of the light illumination and several designated targets within a certain range; The target detector marks each specified target and obtains the current distance between each specified target and the light source; The light source controller obtains the current output power of the light source; When the marker enters the area of ​​influence, the target detector sends the first signal to the master controller; If the current distance is less than the preset distance threshold, the target detector sends a second signal to the main controller; When the output power exceeds the preset power threshold, the light source controller sends a third signal to the main controller; When the main controller receives the first signal, the second signal, and the third signal simultaneously, it outputs a protection signal.

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