Automatic following face lamp based on camera AI recognition function

Abstract

The utility model relates to the technical field of portrait collection device, solved the technical problem that needs frequently to the data of camera to adjust, especially based on automatic following face lamp of camera AI identification function, including as the support base's link seat, its characterized in that: the link seat top end is provided with the light sensing camera shell, the light sensing camera shell inside installation has the light supplementing lamp, the link seat bottom end is installed with the camera shell, the camera shell is installed with portrait collection camera, the camera shell is installed with the multi -dimensional adjusting mechanism for automatic tracking face, the utility model discloses due to the setting of multi -dimensional adjusting mechanism, possess automatic tracking face function, can real -time adjustment light supplementing angle according to face position change, ensure that light supplementing always accurate cover face area, avoid the picture light and shade uneven that leads to because face moves, enhance the stability and definition of live picture, improve overall use convenience.

Description

Technical Field

[0001] This utility model relates to the technical field of human image acquisition devices, and in particular to an automatic face-following lamp based on camera AI recognition function. Background Technology

[0002] With the widespread adoption of live streaming, various types of cameras have emerged. Due to the diverse live streaming environments, cameras need to be adjusted in real time according to the usage scenario to cope with different situations and make the live stream image clearer and brighter. However, existing fill lights require manual tracking and lighting of the subject's face during use. To achieve better lighting effects, it is sometimes necessary to pause and reshoot multiple times. This process is not only complex and lengthy but also severely depletes the subject's physical strength, thus affecting the subsequent shooting results. To address the above issues, this application provides an automatic face-following light fixture based on camera AI recognition functionality. Utility Model Content

[0003] To address the shortcomings of existing technologies, this invention provides an automatic face-following lamp based on camera AI recognition, which solves the technical problem of needing to frequently adjust camera data and achieves the goal of improving the efficiency of live streaming image adjustment.

[0004] To solve the above technical problems, this utility model provides the following technical solution: an automatic face-following lamp based on camera AI recognition function, including a connecting base as a supporting foundation, a light-sensing camera housing is provided at the top of the connecting base, a fill light is installed inside the light-sensing camera housing, a camera housing is installed at the bottom of the connecting base, a human face acquisition camera is installed on the camera housing, and a multi-dimensional adjustment mechanism for automatically tracking human faces is installed on the camera housing; The multi-dimensional adjustment mechanism includes a rotating bracket two fixedly connected to the bottom of the camera housing. A horizontal adjustment motor is installed inside the camera housing. A motor docking bracket connected to the transmission end of the horizontal adjustment motor is fixedly connected to the top of the rotating bracket two. A rotating base is fixedly connected to the bottom of the rotating bracket two. A pitch adjustment motor is installed inside the rotating base. An active bevel gear is connected to the transmission end of the pitch adjustment motor. A support base is provided below the rotating base. A docking base is installed on both sides of the top of the support base. A fixed rail tooth that meshes with the active bevel gear is fixedly connected to one side of the docking base.

[0005] Preferably, the other side of the docking base is rotatably connected to a driven stabilizing bevel tooth that meshes with the active bevel tooth.

[0006] Preferably, a switch button is installed on the camera housing below the portrait capture camera, and a light sensor is installed on the inner side of the light sensor housing outside the fill light.

[0007] Preferably, a rotating bracket is fixedly connected to the inner side of the camera housing, and an intelligent processing control board is installed at the top of the rotating bracket. The signal output terminals of the light-sensing camera and the portrait acquisition camera are both connected to the signal input terminal of the intelligent processing control board.

[0008] Preferably, an intelligent processing control board is installed at one end of the rotating bracket inside the camera housing.

[0009] Preferably, the signal output terminal of the intelligent processing control board is connected to the signal input terminals of the horizontal adjustment motor and the pitch adjustment motor, and a triangular support frame is installed at the bottom of the docking base to provide support for it.

[0010] The automatic face-following lamp based on camera AI recognition function according to the claim is characterized in that: the signal output terminal of the intelligent processing control board is connected to an external display module.

[0011] By employing the above technical solution, this utility model provides an automatic face-following lamp based on camera AI recognition function, which has at least the following beneficial effects: 1. Due to the multi-dimensional adjustment mechanism, this utility model has an automatic face tracking function, which can adjust the supplementary light angle in real time according to the changes in the face position, ensuring that the supplementary light always accurately covers the face area, avoiding uneven brightness of the picture caused by face movement, enhancing the stability and clarity of the live broadcast picture, and improving the overall ease of use.

[0012] 2. Due to the setting of the light-sensing camera, this utility model can collect ambient brightness in real time and combine it with skin color analysis to automatically adjust the lighting effect. It eliminates the need for frequent manual operation, significantly improves the quality of live broadcast images and adjustment efficiency, provides users with a convenient and efficient live broadcast experience, and reduces the cumbersome operation caused by manual adjustment. Attached Figure Description

[0013] The accompanying drawings, which are provided to further illustrate this application and form part of this application, illustrate exemplary embodiments of this application and are used to explain this application, but do not constitute an undue limitation of this application.

[0014] In the attached diagram: Figure 1 This is a schematic diagram of the triangular support frame installation structure of this utility model; Figure 2 This is a three-dimensional structural diagram of the present invention; Figure 3This is a schematic diagram of the mounting structure of the light-sensing camera housing of this utility model; Figure 4 This is a schematic diagram of the camera housing mounting structure of this utility model; Figure 5 This is a schematic diagram of the supplementary lighting installation structure of this utility model; Figure 6 This is a schematic diagram of the installation structure of the rotating bracket of this utility model; Figure 7 This is a schematic diagram of the support base installation structure of this utility model; Figure 8 This is a schematic diagram of the installation structure of the pitch adjustment motor of this utility model.

[0015] In the diagram: 1. Connector; 2. Light sensor camera housing; 3. Camera housing; 4. Multi-dimensional adjustment mechanism; 41. Rotating bracket one; 42. Rotating bracket two; 43. Intelligent processing control board; 44. Motor docking bracket; 45. Horizontal adjustment motor; 46. Rotating base; 47. Pitch adjustment motor; 48. Active bevel gear; 49. Support base; 410. Docking base; 411. Fixed rail gear; 412. Driven stabilizing bevel gear; 5. Human face capture camera; 6. Switch button; 7. Fill light; 8. Light sensor camera; 9. Tripod support frame. Detailed Implementation

[0016] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0017] Existing fill lights require manual tracking and illumination of the subject's face during use. To achieve better lighting, it's sometimes necessary to pause and reshoot multiple times. This process is not only complex and time-consuming but also severely depletes the subject's energy, thus affecting the final shooting results. Please refer to... Figures 1-8This embodiment provides an automatic face-following light fixture based on camera AI recognition, solving the technical problem of needing frequent adjustments to camera data. The device includes a connecting base 1 as a supporting foundation, a light-sensing camera housing 2 at the top of the connecting base 1, a fill light 7 installed inside the light-sensing camera housing 2, a camera housing 3 at the bottom of the connecting base 1, a portrait capture camera 5 mounted on the camera housing 3, and a multi-dimensional adjustment mechanism 4 for automatic face tracking. Intelligent scene lighting is achieved through the fill light 7, face capture and locking through the portrait capture camera 5, and multi-dimensional rotation adjustment through the multi-dimensional adjustment mechanism 4 in conjunction with the portrait capture camera 5, thus realizing automatic fill light under face tracking.

[0018] Existing fill lights for live streaming typically rely on manual tracking of the face by operators to provide illumination based on the live streamer's location. However, this method is not only cumbersome and time-consuming, but also requires frequent adjustments, especially in situations with large movements. Without adjustments, the image quality deteriorates, reducing the overall live stream viewing experience. To address this issue, a multi-dimensional adjustment mechanism 4 is proposed. The multi-dimensional adjustment mechanism 4 includes a rotating bracket 42 fixedly connected to the bottom of the camera housing 3. A horizontal adjustment motor 45 is installed inside the camera housing 3. A motor docking bracket 44, connected to the transmission end of the horizontal adjustment motor 45, is fixedly connected to the top of the rotating bracket 42. A rotating base 46 is fixedly connected to the bottom of the rotating bracket 42. A pitch adjustment motor 47 is installed inside the rotating base 46, and an active bevel gear 48 is connected to the transmission end of the pitch adjustment motor 47. A support base 49 is located below the rotating base 46. Both sides of the top of the support base 49 are fitted with docking bases 410, and a fixed track gear 411, meshing with the active bevel gear 48, is fixedly connected to one side of the docking base 410.

[0019] During use, the horizontal adjustment motor 45 installed inside the camera housing 3 drives the entire camera housing 3 and above to rotate horizontally with the rotating bracket 42 as support. Meanwhile, the pitch adjustment motor 47 drives the active bevel gear 48 at its transmission end to rotate. During this process, since the fixed track gear 411 is fixed, the active bevel gear 48 will adjust the pitch and angle along the outer teeth of the fixed track gear 411 that meshes with it. Thus, the two adjustments achieve multi-dimensional adjustment in the vertical and horizontal directions. Furthermore, since the pitch adjustment motor 47 has a self-locking function, it can lock the angle of adjustment. This allows the fill light 7 to locate the face in real time, thereby driving the fill light 7 to track and illuminate the face, thus avoiding manual fill light and improving fill light efficiency and image acquisition effect.

[0020] To provide stable support to the other side of the active bevel gear 48 as it rotates along the outer teeth of the fixed guide gear 411, the other side of the docking base 410 is rotatably connected to a driven stabilizing bevel gear 412 that meshes with the active bevel gear 48.

[0021] To facilitate light sensing and capture by the portrait capture camera 5, and to provide feedback to the control terminal for automatic supplementary lighting of the captured image, a switch button 6 is installed on the camera housing 3 below the portrait capture camera 5, and a light sensor camera 8 is installed on the inner side of the light sensor housing 2 outside the supplementary light 7.

[0022] The process is made intelligent and automated by inputting commands in advance into the intelligent processing control board 43. A rotating bracket 41 is fixedly connected to the inside of the camera housing 3. The intelligent processing control board 43 is installed on the top of the rotating bracket 41. The signal output terminals of the light-sensing camera 8 and the portrait acquisition camera 5 are connected to the signal input terminals of the intelligent processing control board 43. The intelligent processing control board 43 is installed inside the camera housing 3 at the top of the rotating bracket 41. The signal output terminal of the intelligent processing control board 43 is connected to the signal input terminals of the horizontal adjustment motor 45 and the pitch adjustment motor 47.

[0023] During use, the ambient brightness is collected by the light sensor camera 8 and fed back to the control terminal. The control terminal then controls the fill light 7 to make adaptive adjustments, thereby improving the fill light effect. It can also be connected to external ceiling lights, live streaming lights, spotlights and downlights as needed, and can intelligently fill light on the captured portrait according to the scene requirements.

[0024] It should be noted that, in this document, the terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0025] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An automatic face-following lamp based on camera AI recognition function, comprising a connecting base (1) as a supporting foundation, characterized in that: The top of the connector (1) is provided with a light-sensing camera housing (2), and a fill light (7) is installed inside the light-sensing camera housing (2). The bottom of the connector (1) is provided with a camera housing (3), and a human face acquisition camera (5) is installed on the camera housing (3). A multi-dimensional adjustment mechanism (4) for automatically tracking human faces is installed on the camera housing (3). The multi-dimensional adjustment mechanism (4) includes a rotating bracket (42) fixedly connected to the bottom of the camera housing (3). A horizontal adjustment motor (45) is installed inside the camera housing (3). A motor docking bracket (44) connected to the transmission end of the horizontal adjustment motor (45) is fixedly connected to the top of the rotating bracket (42). A rotating base (46) is fixedly connected to the bottom of the rotating bracket (42). A pitch adjustment motor (47) is installed inside the rotating base (46). An active bevel gear (48) is connected to the transmission end of the pitch adjustment motor (47). A support base (49) is provided below the rotating base (46). A docking base (410) is installed on both sides of the top of the support base (49). A fixed rail gear (411) that meshes with the active bevel gear (48) is fixedly connected to one side of the docking base (410).

2. The automatic face-following lamp based on camera AI recognition function according to claim 1, characterized in that: The other side of the docking base (410) is rotatably connected to a driven stabilizing bevel tooth (412) that meshes with the active bevel tooth (48).

3. The automatic face-following lamp based on camera AI recognition function according to claim 1, characterized in that: A switch button (6) is installed on the camera housing (3) below the portrait acquisition camera (5), and a light sensor camera (8) is installed on the inside of the light sensor housing (2) outside the fill light (7).

4. The automatic face-following lamp based on camera AI recognition function according to claim 2, characterized in that: A rotating bracket (41) is fixedly connected to the inside of the camera housing (3). A smart processing control board (43) is installed on the top of the rotating bracket (41). The signal output terminals of the light-sensing camera (8) and the portrait acquisition camera (5) are connected to the signal input terminal of the smart processing control board (43).

5. The automatic face-following lamp based on camera AI recognition function according to claim 4, characterized in that: The top of the rotating bracket (41) is located inside the camera housing (3) and is equipped with an intelligent processing control board (43).

6. The automatic face-following lamp based on camera AI recognition function according to claim 5, characterized in that: The signal output terminal of the intelligent processing control board (43) is connected to the signal input terminals of the horizontal adjustment motor (45) and the pitch adjustment motor (47), and a triangular support frame (9) for providing support is installed at the bottom of the docking base (410).

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