Intelligent light supplementing system in article picture shooting process

By setting reflective cloth and multiple light sources in the fill light box, combining the image acquisition module to analyze the outline of the object and automatically adjust the brightness of the light source, the problem of uneven fill light is solved, and the image quality and recognition accuracy of 3D modeling are improved.

CN120704038APending Publication Date: 2025-09-26DONGGUAN SUGAR & LIQUOR GRP MEIYIJIA CONVENIENCE STORE CO L
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202510871733.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-26
Publication Date
2025-09-26

AI Technical Summary

Technical Problem

Existing fill-light studios are prone to insufficient fill-light or oversaturation when shooting highly reflective materials, which introduces redundant optical features into the image, increases computing costs, and affects the recognition accuracy of 3D modeling.

Method used

Reflective cloth and multiple light sources are set up in the fill light box to direct the reflected light to the front of the product. Combined with the image acquisition module to analyze the shape of the object, the brightness of the light source is automatically adjusted to eliminate shadows and light spots, achieving uniform fill light.

Benefits of technology

Effectively eliminate shadows and light spots, reduce lighting unevenness, improve image quality, reduce subsequent computing costs, and improve the recognition accuracy of 3D modeling.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN120704038A_ABST
    Figure CN120704038A_ABST
Patent Text Reader

Abstract

The invention relates to the technical field of shooting light supplementation, in particular to an intelligent light supplementation system in an article picture shooting process, which comprises a light supplementation box body, one side of the light supplementation box body is a shooting side, and the shooting side is provided with an opening for a camera to shoot; the inner bottom wall of the light supplementing box body is provided with a rotating table used for containing objects and a driving piece used for driving the rotating table to rotate. A first light source is arranged on a first side wall, close to the shooting side, in the light supplementing box body, and a second light source is arranged on a second side wall, close to the shooting side, in the light supplementing box body; reflecting cloth is arranged on the shooting side of the light supplementing box body. In a better example, at least two pieces of reflective cloth can be further configured, and the at least two pieces of reflective cloth are arranged around the camera. The method and the device have the effect of avoiding the condition of insufficient supplementary light or supersaturated supplementary light easily occurring in the shooting process of the front side of the commodity.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of shooting fill light, and in particular to an intelligent fill light system in the object picture shooting process. Background Art

[0002] With the development of AI image recognition technology, the construction of product galleries requires an increasing number of product images, and the quality of the images is also required to be higher. Usually, a turntable drives the product to rotate, and the camera collects multiple frames of images during the rotation process and stitches them together to obtain a three-dimensional model of the product.

[0003] Existing fill-light photography studios mostly adopt a pentahedron structure (top, bottom, left and right sides, and back), and a camera shooting port must be reserved on the front. This design makes it easy for the front of the product to have insufficient fill light (such as shadows, black marks) or oversaturated fill light (such as light spots, bright stripes) during shooting. Especially when shooting highly reflective materials (non-transparent glass bottles, metal bottles, non-transparent plastic beverage bottles), the reflection path of some light sources on the surface of the product will interfere with the camera imaging, forming artifacts.

[0004] The uneven fill illumination problem mentioned above will directly lead to the introduction of redundant optical features (such as asymmetric light and dark stripes) in the captured image. In the subsequent image feature extraction and 3D modeling process, complex algorithms are required to eliminate noise, which greatly increases the computing cost and easily causes distortion of model surface details, affecting recognition accuracy. Summary of the Invention

[0005] In order to avoid insufficient fill light or oversaturated fill light when shooting the front of a product, the present application provides an intelligent fill light system for shooting pictures of an item.

[0006] The above-mentioned invention objective of this application is achieved through the following technical solutions: An intelligent light-filling system for capturing an object image, comprising: A fill light box, one side of which is a shooting side, and an opening is provided on the shooting side for a camera to shoot; The inner bottom wall of the fill light box is provided with a rotating table for placing items, and a driving member for driving the rotating table to rotate; A first light source is provided on a first side wall of the fill light box adjacent to the shooting side, and a second light source is provided on a second side wall of the fill light box adjacent to the shooting side. The shooting side of the fill light box is provided with a reflective cloth.

[0007] In a preferred example, the present application can be further configured as follows: the reflective cloth is provided in at least two pieces, and the at least two reflective cloths are provided around the camera.

[0008] In a preferred example, the present application can be further configured as follows: a back light source is provided on the back wall of the fill light box body opposite to the shooting side, and a bottom light source is provided on the inner bottom of the fill light box body.

[0009] In a preferred example, the present application may be further configured as follows: an image acquisition module is provided on the top wall of the fill light box, and the image acquisition module is used to capture images of items in the box; The system also includes: A discrimination module is used to analyze the object image to determine whether the object's outline meets a preset condition, or Receive a determination instruction input by a user to determine whether the outer contour of the object meets a preset condition; The adjustment module is used to adjust the brightness of the light source in the fill light box according to preset rules if the outline of the object meets the preset conditions.

[0010] In a preferred example, the present application may be further configured as follows: the first light source includes a plurality of first lamp bodies; the second light source includes a plurality of second lamp bodies; The regulation module includes: An analysis unit is used to analyze the interference lamp body in the first lamp body and the second lamp body, which generates reflected light that interferes with camera imaging when irradiating the curved surface; An adjustment unit is used to adjust the brightness of the interference lamp body.

[0011] In a preferred example, the present application can be further configured as follows: the adjustment unit includes: The brightness of the interference lamp body is adjusted to zero.

[0012] In a preferred example, the present application can be further configured as follows: the analysis unit includes: A coordinate set mapping subunit is used to obtain the pixel coordinate set of the object outline in the object image, and map the coordinates of the camera position of the image acquisition module and the camera coordinate system of the image acquisition module to the plane coordinate system of the top view angle in the box to obtain the top plane coordinate set of the object outline; The analysis subunit is used to analyze the coordinates of the interfering lamp body that interferes with the camera shooting in the overhead perspective plane coordinate system in the box based on the pre-calibrated camera coordinates, the coordinates of each lamp body and the overhead plane coordinate set of the object outline.

[0013] In a preferred example, the present application can be further configured as follows: the analysis subunit includes: A light path simulation component, configured to generate a plurality of emission light paths for each lamp body according to a preset rule, and generate a plurality of incident points based on the intersections of the plurality of emission light paths and the outline of the object; a judgment component, comprising calculating a reflected light path based on each incident point and judging whether the reflected light path passes through a camera coordinate; The interfering lamp body confirmation component is used to regard the lamp body to which the reflected light belongs as an interfering lamp body if there is any reflected light path passing through the camera coordinates.

[0014] In a preferred example, the present application can be further configured as follows: it also includes a preview module for generating a shooting preview image to a display module; and receiving a confirmation instruction input by a person to control the camera and the rotating stage to execute a multi-frame shooting action.

[0015] In summary, this application includes at least one of the following beneficial technical effects: 1. The image acquisition module identifies the outline of the product, and the system analyzes the parts of the object's curved surface and the light source reflection angle that affect the imaging, turns off the interfering light source, and can automatically control and manage the lighting effect; 2. After adding a front diffuser, the frontal illumination difference when photographing an 8cm diameter cylinder dropped from 300 lux to within 50 lux. For highly reflective materials (such as metal cans), disabling the sidelights can reduce specular reflection intensity by over 90%, achieving a shadowless effect when used with a diffuser. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the shadow and light bars of the article of this application; Figure 2 This is a schematic diagram of a top-down perspective of the interior of a fill light box during shooting in the background technology of this application; Figure 3 This is a schematic diagram of the positions of the items inside the fill light box, the rotating stage, and the image acquisition module during the shooting of this application; Figure 4 This is a schematic diagram of the top-down perspective of the fill light box when shooting this application; Figure 5 It is a schematic diagram of the outlines of different products when photographed for this application; Figure 6 This is a schematic diagram of the module connections of the intelligent fill light system during the image shooting process of the object in this application. DETAILED DESCRIPTION

[0017] The following description of exemplary embodiments of the present application is made in conjunction with the accompanying drawings, including various details of the embodiments of the present application to facilitate understanding. These details should be considered as merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present application. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0018] It should be noted that the terms "first," "second," and the like in the present invention are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than that illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure.

[0019] In this document, the term "and / or" simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document, unless otherwise specified, generally indicates an "or" relationship between the related objects.

[0020] Please refer to the following Figure 1-6 Describe the intelligent fill light system for the object image shooting process of this application.

[0021] Existing fill-light studios often use a five-sided structure (top, bottom, left and right sides, and back), but the front requires a reserved camera aperture. As a result, fill-light sources or reflective cloth are often not deployed in the front area. This design can easily cause insufficient fill-light (such as shadows and black marks) or oversaturated fill-light (such as light spots and bright streaks) when photographing the front of some products. This is especially true when photographing highly reflective materials (non-transparent glass and metal bottles, non-transparent plastic beverage bottles). The reflection path of some light sources on the product surface can interfere with the camera image, resulting in light pollution artifacts.

[0022] The uneven fill illumination problem mentioned above will directly lead to the introduction of redundant optical features (such as asymmetric light and dark stripes) in the captured image. In the subsequent image feature extraction and 3D modeling process, complex algorithms are required to eliminate noise, which greatly increases the computing cost and easily causes distortion of model surface details, affecting recognition accuracy.

[0023] To address these issues, this application discloses an intelligent fill-light system for capturing images of items. By adding reflective fabric to the front (shooting side) of a fill-light box, the reflective fabric reflects light from other directions (such as the top and sides) and directs it toward areas of the product's front that would otherwise be unlit, effectively eliminating shadows or black marks caused by a lack of frontal light. For example, when photographing a non-transparent glass bottle, the front reflective fabric can fill in dark details in the bottle label area, preventing the label text from being lost due to shadows.

[0024] The intelligent fill light system for the object picture shooting process includes a fill light box, one side of the fill light box is a shooting side, and the shooting side is provided with an opening for camera shooting; the inner bottom wall of the fill light box is provided with a rotating table for placing objects, and a driving member for driving the rotating table to rotate; the driving member can be a motor, etc.

[0025] A first light source is arranged on the first side wall of the fill light box body adjacent to the shooting side, and a second light source is arranged on the second side wall of the fill light box body adjacent to the shooting side; the first light source includes a plurality of first lamp bodies; the second light source includes a plurality of second lamp bodies; the plurality of first lamp bodies are distributed on the first side wall, and the plurality of second lamp bodies are distributed on the second side wall.

[0026] The first light source and the second light source are used to fill in the light of the object to be photographed. A reflective cloth is also provided on the shooting side of the fill-in light box. The light source can be cold white light.

[0027] In one embodiment, at least two reflective sheets are provided, and the at least two reflective sheets are arranged around the camera. For example, if there are two reflective sheets, they can be respectively arranged on opposite sides of the camera; if there are three or more reflective sheets, they can be distributed around the camera.

[0028] By reflecting light from other directions (such as the top or sides), reflective fabric directs light to areas of the product's front that aren't directly illuminated, effectively eliminating shadows or black marks caused by a lack of frontal light. For example, when photographing a glass beverage bottle, front-facing reflective fabric can fill in dark details in the label area, preventing the label text from being lost due to shadows. This effectively fills in dark areas on the front, achieving both light filling and shadow elimination.

[0029] On the other hand, reflective cloth reduces the intensity difference of light sources on both sides through diffuse reflection, alleviates bright stripes or highlight overflow caused by excessive side fill light, makes the overall lighting more uniform, and achieves a balanced light ratio.

[0030] In some embodiments, a back light source is provided on the back wall of the fill light box body opposite to the shooting side, and a bottom light source is provided on the inner bottom of the fill light box body.

[0031] It is understandable that the settings of the bottom light source and the backlight source are turned on when the outer packaging of the items is transparent and light can penetrate, and when some figures need to be light-transmitting.

[0032] Objects with highly reflective surfaces are easily exposed, such as cans and mineral water bottles. For some objects with less reflective surfaces, it is necessary to turn on the fill light body of the first light source and the second light source close to the shooting side, such as clothing.

[0033] In one embodiment, an image acquisition module is provided on the top wall of the fill light box, and the image acquisition module is used to capture images of objects in the box; the intelligent fill light system for the object picture shooting process also includes a control module and an adjustment module, wherein the control module is used to analyze the object image to determine whether the object shape outline meets the preset conditions; the adjustment module is used to adjust the brightness of the light source in the fill light box according to preset rules if the object shape outline meets the preset conditions.

[0034] Specifically, the image acquisition module looks down at the center of the turntable, and the object is usually placed in the center of the turntable, so that when the image acquisition module acquires the object, a relatively standard side contour of the object can be obtained from the top-down angle. Specifically, after acquiring the image of the object on the turntable, the RGB image is first converted into a grayscale image for image preprocessing. This can be achieved through the cv2.cvtColor function of OpenCV, and the grayscale value is calculated using the ITU-R BT.601 standard weighted formula. The preprocessed image is then processed using an adaptive threshold segmentation method for foreground segmentation. The Canny edge detector can be combined to extract contour lines, and the high and low threshold ratios are automatically determined by the Otsu algorithm. Only the outermost contour is then retained as the object's outer contour to eliminate interference from the internal structure. The cv2.findContours function can be called and the RETR_EXTERNAL retrieval mode can be used.

[0035] After obtaining the object's outline, determine whether its similarity to the standard circle reaches the preset similarity. For example, for the retained object outline, further calculate its roundness feature (4π area divided by the square of the perimeter), and compare the result with the standard circle (theoretical value 1.0). If it is lower than the preset similarity, it will be excluded.

[0036] In one embodiment, the preset condition is satisfied by determining that the object's outer contour has an arc segment of at least a preset length or an arc segment that accounts for at least a preset proportion of the total circumference.

[0037] Specifically, it can be analyzed and judged in the following ways: 1. Contour preprocessing, including contour resampling and smoothing filtering, uses the Douglas-Peucker algorithm to perform polygonal approximation on the original contour, reducing redundant points while preserving shape features. By adjusting the epsilon parameter (recommended 0.2%-0.5% of the perimeter), aliasing noise is eliminated while preserving true arc features. The contour coordinate sequence is then smoothed using a Savitzky-Golay filter; this filtering method preserves high-frequency curvature information while suppressing local jitter.

[0038] 2. Arc segment identification: Point-by-point curvature calculation. Discrete curvature is calculated using the three-point method to identify potential arc segments. Curvature values ​​range from 0.0 to 1.0, with higher values ​​indicating greater curvature variation at that point (the curvature of an ideal arc should approach 0). Arc segment identification rules are based on the following mathematical conditions: ① Local consistency: The curvature values ​​of at least five consecutive points must be less than a threshold (recommended 0.15). ② Central angle range: This is determined by the angle between the arc's start and end points. The central angle of the true arc must be ≥ a preset angle, such as 30° or 60°. The preset angle can be determined based on the actual central angle that causes shadows or overexposure. ③ Radius consistency: The standard deviation of the distance from each point within the arc segment to the fitted center must be less than a preset percentage of the radius, such as 1% or 5%. This ensures the authenticity of the identified arc segments. Sliding window detection is then performed. A sliding window of size 15 (covering approximately 5% of the contour length) is used to scan the curvature sequence. Overlapping windows are merged to identify continuous arc segments.

[0039] Count whether the continuous arc segments reach a preset length; or calculate whether the arc length reaches a preset proportion of the total perimeter of the object's outline, for example, the preset proportion is ≥55%.

[0040] In one embodiment, a determination instruction input by a user may be received to determine whether the outer contour of the object meets a preset condition; If the object's outline meets preset conditions, the adjustment module adjusts the brightness of the light source within the fill light box according to preset rules. For example, this adjustment may include turning off or reducing the brightness of any lamp that may cause shadows, black marks, or two lines on the object's surface. These lamps are typically the lamps of the first and second light sources closer to the photographic side. In this embodiment, turning off the light source is preferred.

[0041] In one embodiment, the adjustment module includes: An analysis unit is used to analyze the interference lamp body in the first lamp body and the second lamp body, which generates reflected light that interferes with camera imaging when irradiating the curved surface; The adjustment module includes an analysis unit and an adjustment unit, wherein the analysis unit is used to analyze the interference lamp body in the first lamp body and the second lamp body, which generates reflected light that interferes with camera imaging when irradiating the curved surface; The analysis unit includes a coordinate set acquisition subunit, a mapping subunit and an analysis subunit. The coordinate set mapping subunit is used to obtain the pixel coordinate set of the object outline in the object image, and map the camera position coordinates of the image acquisition module and the camera coordinate system of the image acquisition module to the plane coordinate system of the top view angle in the box to obtain the top plane coordinate set of the object outline; It is understandable that, since the object's outline is obtained by looking down at the image of the object on the rotating table, the pixel coordinate set of the object's outline can be directly converted into the object's outline camera coordinate set in the image acquisition module's camera coordinate system. The obtained object outline camera coordinate set can be directly mapped and converted into coordinates in the plane coordinate system of the top-down perspective inside the box, thereby obtaining the top-down plane coordinate set of the object's outline. Since the image acquisition module is fixed in position, and since the image acquisition module's perspective is to look down at the rotating table, that is, to look down at the bottom wall of the box, the plane coordinate system of the top-down perspective inside the box is a coordinate system with the bottom wall of the box as a plane or parallel to the bottom wall of the box. When the image acquisition module shoots, the bottom wall of the box is used as the background. Therefore, based on the pixel coordinate set of the object's outline in the object image, it can be directly mapped and converted to the plane coordinate system of the top-down perspective inside the box.

[0042] The analysis subunit is used to analyze the coordinates of the interfering lamp body that interferes with the camera shooting in the overhead view plane coordinate system in the box based on the pre-calibrated camera coordinates, the coordinates of each lamp body and the overhead plane coordinate set of the object outline.

[0043] Specifically, the analysis subunit includes a light path simulation component, a judgment component, and an interference lamp body confirmation component. In the top-view plane coordinate system within the box, the light path simulation component is used to generate multiple emission light paths for each lamp body according to preset rules, and generate multiple incident points based on the intersection of the multiple emission light paths and the outline of the object; The judgment component is used to calculate the reflected light path based on each incident point and judge whether the reflected light path passes through the camera coordinates; The interfering lamp body confirmation component is used to treat the lamp body to which the reflected light belongs as an interfering lamp body if there is any reflected light path passing through the camera coordinates.

[0044] Specifically, the camera coordinates can be a set of multiple coordinates of an area in the plane coordinate system of the overhead viewing angle inside the box corresponding to the actual position area of ​​the camera lens, or a set of multiple coordinates of the camera coordinates determined according to the axial angle of the camera. For example, a set of multiple coordinates of the camera coordinates is pre-calibrated using the reflection angle and the camera axial angle <5° as the interference standard.

[0045] The light path simulation component first discretizes the light direction of the lamp into N angles (for example, one angle every 5 degrees), calculates the incident point for each direction, and then calculates the reflection vector based on each light direction and the corresponding incident point. The reflected line determines whether it passes through the camera position. Specifically, the reflected line can be calculated by combining the tangent line of the arc segment where the incident point is located.

[0046] The adjustment unit is used to adjust the brightness of the interfering lamp. In one embodiment, if any reflection path interferes with the camera, the lamp is turned off, or in other words, the brightness of the interfering lamp is adjusted to zero.

[0047] The intelligent fill-light system for capturing object images also includes a preview module, which generates a preview image for the display module and receives confirmation commands from a human input to control the camera and turntable to execute multiple-frame captures. After capturing multiple frames of the object from different angles during its rotation, the camera uses stitching and cropping software to create object modeling materials. Furthermore, if a human input denies the image, the system adjusts the corresponding light brightness based on the human input light control commands to achieve adaptive adjustment.

[0048] Various implementations of the systems and techniques described herein can be realized in digital electronic circuit systems, integrated circuit systems, dedicated ASICs (application specific integrated circuits), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpreted on a programmable system comprising at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0049] These computer programs (also referred to as programs, software, software applications, or code) include machine instructions for programmable processors and can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and / or device (e.g., a magnetic disk, an optical disk, a memory, a programmable logic device (PLD)) for providing machine instructions and / or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal for providing machine instructions and / or data to a programmable processor.

[0050] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0051] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.

[0052] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this application can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this application can be achieved. This is not a limitation herein.

[0053] The above specific embodiments do not constitute a limitation on the scope of protection of this application. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application shall be included within the scope of protection of this application.

Claims

1. The intelligent fill light system for the object picture shooting process is characterized by: include: A fill light box, one side of which is a shooting side, and an opening is provided on the shooting side for a camera to shoot; The inner bottom wall of the fill light box is provided with a rotating table for placing items, and a driving member for driving the rotating table to rotate; A first light source is provided on a first side wall of the fill light box adjacent to the shooting side, and a second light source is provided on a second side wall of the fill light box adjacent to the shooting side. The shooting side of the fill light box is provided with a reflective cloth.

2. The intelligent light-filling system for capturing an object image according to claim 1, wherein: The reflective cloth is provided in at least two pieces, and the at least two reflective cloths are provided around the camera.

3. The intelligent light-filling system for capturing an object image according to claim 1, wherein: A back light source is arranged on the back wall of the fill light box body opposite to the shooting side, and a bottom light source is arranged on the inner bottom of the fill light box body.

4. The intelligent light-filling system for capturing an object image according to claim 1, wherein: An image acquisition module is provided on the top wall of the light-filling box, and the image acquisition module is used to collect images of items in the box; The system also includes: A discrimination module is used to analyze the object image to determine whether the object's outline meets a preset condition, or Receive a determination instruction input by a user to determine whether the outer contour of the object meets a preset condition; The adjustment module is used to adjust the brightness of the light source in the fill light box according to preset rules if the outline of the object meets the preset conditions.

5. The intelligent light-filling system for capturing an object image according to claim 4, wherein: The first light source includes a plurality of first lamp bodies; the second light source includes a plurality of second lamp bodies; The adjustment module includes: An analysis unit is used to analyze the interference lamp body in the first lamp body and the second lamp body, which generates reflected light that interferes with camera imaging when irradiating the curved surface; An adjustment unit is used to adjust the brightness of the interference lamp body.

6. The intelligent light-filling system for capturing an object image according to claim 5, wherein: The adjustment unit includes: The brightness of the interference lamp body is adjusted to zero.

7. The intelligent light-filling system for capturing an object image according to claim 5, wherein: The analysis units include: A coordinate set mapping subunit is used to obtain the pixel coordinate set of the object outline in the object image, and map the coordinates of the camera position of the image acquisition module and the camera coordinate system of the image acquisition module to the plane coordinate system of the top view angle in the box to obtain the top plane coordinate set of the object outline; The analysis subunit is used to analyze the coordinates of the interfering lamp body that interferes with the camera shooting in the overhead perspective plane coordinate system in the box based on the pre-calibrated camera coordinates, the coordinates of each lamp body and the overhead plane coordinate set of the object outline.

8. The intelligent light-filling system for capturing an object image according to claim 7, wherein: The analysis subunits include: A light path simulation component, configured to generate a plurality of emission light paths for each lamp body according to a preset rule, and generate a plurality of incident points based on the intersections of the plurality of emission light paths and the outline of the object; a judgment component, comprising calculating a reflected light path based on each incident point and judging whether the reflected light path passes through a camera coordinate; The interfering lamp body confirmation component is used to treat the lamp body to which the reflected light belongs as an interfering lamp body if any reflected light path passes through the camera coordinates.

9. The intelligent light-filling system for capturing an object image according to claim 1, wherein: It also includes a preview module for generating a shooting preview image to a display module; and receiving a confirmation instruction input by a person to control the camera and the rotating stage to execute a multi-frame shooting action.