Intelligent ai golf teaching camera

Abstract

This utility model discloses an intelligent AI golf teaching camera, including a front shell and a rear shell, which are connected by a snap-fit. The front shell has a fixed glass panel and a camera bracket installed inside. The bracket has a posture camera and a trajectory camera tilted on it, which are used to collect the swing action and the ball trajectory, respectively. The outer side of the front shell has an elliptical conical opening that matches the camera, forming an "eyelash"-like anthropomorphic design. The motherboard integrates a BirdieCoach hardware module, which completes the core AI calculation through a local main control unit. The mobile phone is only used as a display and interaction medium. The rear shell has a fan bracket that holds the battery. The fan is close to the motherboard and the battery, and together with the bottom ventilation port, it forms an active heat dissipation channel. The rear shell has a built-in magnetic ring for easy installation. The motherboard integrates an IMU sensor to calibrate the tilt state of the device in real time. This design achieves high-precision motion analysis and teaching guidance through dual-camera collaboration, local AI calculation, and emotional interaction, and is portable, has efficient heat dissipation, and strong user stickiness.

Description

Technical Field

[0001] This utility model relates to the field of AI camera technology, specifically to an intelligent AI golf teaching camera. Background Technology

[0002] Currently, golf enthusiasts primarily rely on traditional human coaches, general video analytics software, or commercially available golf aids to improve their skills. Traditional coaches are expensive, have inflexible scheduling, and struggle to provide long-term, personalized tracking and analysis of users' swing data. Commercially available golf analytics devices, such as radar-based or dedicated high-speed camera ballistic trackers, while providing shot data, are typically expensive, bulky, and poorly portable. Furthermore, their functionality focuses on data presentation, lacking effective interactive instruction and personalized training suggestions.

[0003] Existing products are mostly pure tools, lacking emotional communication through facial expressions. The cold interaction leads to low user willingness to continue using them. They overuse radar / high-speed photography solutions, neglect the progress of computer vision, rely on mobile phone computing power or cloud data transmission, have low heat dissipation capacity, and short operating time. Utility Model Content

[0004] The purpose of this invention is to solve the problems existing in the background technology mentioned above and to provide an intelligent AI golf teaching camera.

[0005] This utility model achieves the above-mentioned objectives through the following technical solution: an intelligent AI golf teaching camera, comprising a front shell and a rear shell, which are connected by multiple snap-fit ​​fasteners; a glass panel is fixedly bonded to the front shell, and a camera bracket is installed inside the front shell. A posture camera and a trajectory camera are respectively installed on the camera bracket at an angle to both sides. The posture camera is used to capture the user's swing action, and the trajectory camera is used to capture the flight trajectory of the golf ball. Camera openings at an angle to both sides are respectively matched on the outer side of the front shell. The camera openings are elliptical slots, and the walls of the slots are conical. A power board and a main board are installed on one side of the camera bracket inside the front shell. The main board includes a hardware processing module, which uses a built-in main control processing unit to complete the core AI calculations.

[0006] Furthermore, the hardware processing module adopts the BirdieCoach hardware module, which uses the built-in main control processing unit to complete the core AI calculation; the camera establishes a connection with the user's smartphone, but the user's smartphone only serves as a display and interaction medium and does not undertake the calculation task of the AI ​​algorithm.

[0007] Furthermore, a fan bracket is installed inside the rear shell, and rib groups are symmetrically arranged on the two inner sidewalls of the front shell. Each rib group includes two ribs, one upper and one lower. The fan bracket is fitted between the ribs, and a battery is sandwiched between the fan bracket and the rear shell. A fan is installed on the fan bracket, and the fan is located between the motherboard and the battery. A ventilation opening is provided at the bottom of the front shell directly below the fan.

[0008] Furthermore, a cover plate is provided between the glass panel and the front shell, and the cover plate is provided with an oblique elliptical slot to fit the camera opening; a small screen is installed on the front shell below the camera opening; the small screen, the glass panel and the cover plate are all fixed to the reserved opening and position of the front shell in sequence by adhesive.

[0009] Furthermore, the posture camera and the trajectory camera are fixed to the camera bracket with self-tapping screws. The camera bracket, the power board, and the motherboard are all fixed to screw posts of corresponding lengths inside the front shell with self-tapping screws. A Type-C board is also fixed to the inner side wall of the front shell with self-tapping screws.

[0010] Furthermore, the fan bracket is fixed to the rear shell with self-tapping screws, and the fan is fastened to the fan bracket with screws and nuts. The fan bracket presses the battery tightly inside the rear shell. Both the rear shell and the fan bracket are provided with ribs to jointly position the battery.

[0011] Furthermore, a magnetic ring is glued to the pre-drilled hole on the inner side of the rear shell, and a switch board is installed on the inner side of the rear shell by self-tapping screws. A switch button is installed on the rear shell on one side of the switch board using a snap-fit ​​method. The switch button is fixed to the rear shell by a limiting step on the back of the rear shell.

[0012] Furthermore, a silicone ring for waterproofing is installed at the seam between the front and rear shells, and a charging port silicone plug is provided on the front shell outside the Type-C board.

[0013] Furthermore, the motherboard integrates an IMU sensor, which serves as the core sensor for trajectory accuracy calibration. The IMU sensor is integrated into the motherboard and directly connected to the hardware processing module via a bus to achieve real-time compensation for the device's tilt state.

[0014] Furthermore, the user activates the BirdieCoach hardware module and the smartphone, and the two automatically establish a connection via a Wi-Fi network.

[0015] Compared with the prior art, the beneficial effects of this utility model are:

[0016] 1. The dual-camera tilted layout, combined with the elliptical conical opening, achieves a human-like "eyelash" appearance. The screen expression display method and voice feedback through the mobile phone connection endow the camera with human-like emotional interaction capabilities and vivid appearance, solving the problem of lack of emotional connection in existing technologies; the BirdieCoach module independently completes AI calculations, freeing it from dependence on mobile phones / cloud.

[0017] 2. The lightweight design and magnetic back structure greatly simplify the installation and adjustment process, solving the problem of complex use of existing technologies. The fan is fixedly mounted on the fan bracket with screws and nuts, and its position is close to the battery and motherboard to achieve efficient heat dissipation. The fan bracket also presses the battery firmly against the back cover. Both the back cover and the fan bracket have ribs to help position the battery. A ventilation port is located directly below the fan to ensure that cool air can enter smoothly, flow through the motherboard and battery and other heat-generating components, and then be exhausted by the fan, forming an effective heat dissipation airflow to ensure stable operation in high-temperature environments.

[0018] 3. By using dual cameras with optimized attitude and trajectory, combined with IMU-corrected horizontal reference, and utilizing a "cloud-local" hybrid computing architecture for multimodal data analysis, it provides more accurate and comprehensive teaching guidance than traditional methods. By replacing expensive traditional sensors with advanced AI vision algorithms, it significantly reduces hardware costs and makes high-level golf analysis and teaching services more accessible. Attached Figure Description

[0019] Figure 1 This is a three-dimensional structural diagram of the present invention;

[0020] Figure 2 This is an exploded view of the present invention;

[0021] Figure 3 This is a schematic diagram of the front shell of this utility model;

[0022] Figure 4 This is a schematic diagram of the front shell and the cover color plate in this utility model;

[0023] Figure 5 This is a schematic diagram of the camera bracket and camera in this utility model;

[0024] Figure 6 This is a schematic diagram of the battery, fan bracket, and fan inside the rear shell of this utility model;

[0025] Figure 7 This is a three-dimensional structural diagram of the present invention.

[0026] In the diagram: 1-Front shell, 2-Rear shell, 3-Glass panel, 4-Camera bracket, 5-Posture camera, 6-Trajectory camera, 7-Camera opening, 8-Power board, 9-Motherboard, 10-Fan bracket, 11-Rib, 12-Battery, 13-Fan, 14-Ventilation vent, 15-Cover plate, 16-Small screen, 17-Type-C small board, 18-Magnetic ring, 19-Switch small board, 20-Switch button, 21-Silicone ring, 22-Charging port silicone plug. Detailed Implementation

[0027] 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.

[0028] In the description of this utility model, it should be understood that the terms "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", and "outer" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this utility model and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this utility model.

[0029] Combination Figures 1 to 7 The intelligent AI golf teaching camera shown includes a front shell 1 and a rear shell 2, which are connected by multiple clips. To facilitate injection molding, both the front and rear shells are designed with a draft angle of more than 1 degree. A glass panel 3 is fixedly bonded to the front shell 1, and a camera bracket 4 is installed inside the front shell 1. A dual-camera module, namely a posture camera 5 and a trajectory camera 6, is installed on the camera bracket 4. The dual-camera module is not installed perpendicular to the glass panel 3. Its imaging light cone intersects the glass panel 3 at an angle. Thus, the posture camera 5 and the trajectory camera 6 are installed at an angle to both sides on the camera bracket 4. When the imaging light cones of the two enter the lens, they intersect the glass panel 3 at an angle.

[0030] To complement this, camera openings 7, angled to both sides, are provided on the outer surface of the front shell 1. These camera openings 7 are elliptical slots with conical walls. A cover plate 15 is provided between the glass panel 3 and the front shell 1, also featuring angled elliptical slots to fit the camera openings 7. A small screen 16 is mounted on the front shell 1 below the camera openings 7. This design makes the front of the camera appear like eyes with long "eyelashes," greatly enhancing the product's vividness and anthropomorphic features, eliminating the rigidity of traditional camera openings. Furthermore, the unique "eyelash" opening design on the front of the camera, combined with the dynamic expression screen of the small screen 16, allows AI to display anthropomorphic expressions based on the current state (such as thinking, analysis completed, or celebrating for you). The small screen 16 uses an OLED screen and is glued sequentially to the pre-reserved openings and positions on the front shell 1, along with the glass panel 3 and the cover plate 15. In addition to its original functions (anthropomorphic appearance, light blocking, and structural fixation), the cover plate 15 also solves the integrated manufacturing problem with a split design. That is, it replaces the partial painting of the front shell 1, simplifies the manufacturing process of the front shell 1 by split assembly, reduces the number of times the front shell 1 is painted, and both the front shell 1 and the cover plate 15 can be injection molded in a single color.

[0031] The posture camera 5 and the trajectory camera 6 are fixed to the camera bracket 4 with self-tapping screws, and the camera bracket 4 is fixed to the corresponding screw posts inside the front shell 1 with self-tapping screws.

[0032] Example 1

[0033] The posture camera 5 is used to capture the user's swing motion. Its ISP processing flow retains standard basic processing such as color correction, white balance, and noise reduction, but does not include electronic image stabilization (EIS) or additional filters, and outputs a high-quality 1080p@60fps RGB video stream. The ISP needs to have excellent automatic exposure (AE) and wide dynamic range (WDR / HDR) processing capabilities to adapt to varying outdoor lighting conditions. Its horizontal field of view (FOV) is approximately 65°.

[0034] The trajectory camera 6 is used to capture the flight path of a golf ball. To ensure calculation accuracy, its image data, after basic correction, bypasses the non-linear processing of the ISP and directly outputs linear Raw Bayer format raw data at a maximum resolution of 4K and 60fps. Its focal length is no less than 7mm, the focusing distance is approximately 2 meters, and the horizontal field of view (FOV) is approximately 70°.

[0035] Both cameras must support manual / automatic ISO control via API, with manual settings taking precedence over automatic. The cameras must be low-light optimized to ensure clear recognition of digital content on the indoor golf simulator screen. Track camera 6 must support real-time, frame-by-frame adjustment of the CMOS region of interest (ROI) reading via API to reduce data volume.

[0036] Example 2

[0037] The camera bracket (4) has a power board (8) and a motherboard (9) installed inside the front shell (1) on one side. The power board (8) and the motherboard (9) are fixed to screw posts of different lengths inside the front shell (1) by self-tapping screws. The motherboard (9) contains a hardware processing module. The hardware processing module uses the built-in main control processing unit to complete the core AI calculation. The hardware processing module uses the BirdieCoach hardware module. The BirdieCoach hardware module uses the built-in main control processing unit to complete the core AI calculation. The camera establishes a connection with the user's smartphone. The user's smartphone only serves as a display and interaction medium and does not undertake the calculation task of the AI ​​algorithm. The user starts the BirdieCoach hardware module and the smartphone, and the two automatically establish a connection through the Wi-Fi network.

[0038] The main control processing unit can be a high-performance SoC chip, which needs to integrate a multi-core central processing unit (CPU), a graphics processing unit (GPU), and an artificial intelligence coprocessor module (such as an NPU) that can provide at least 6 TOPS of computing power. In addition, the SoC also needs to have a built-in video processing unit (VPU) that supports hardware encoding and decoding of H.264 and H.265 formats to meet the needs of local AI computing and real-time processing of multiple high-definition video streams.

[0039] AI computing power: The artificial intelligence coprocessing module (which can be implemented by a combination of NPU, CPU, GPU or DSP) needs to have at least 6 TOPS of computing power, with an ideal target of about 13 TOPS, to meet the requirements of algorithms such as YOLO and OpenPose.

[0040] In addition, the hardware system adopts a hybrid cloud-local computing architecture. When the network is good, data is uploaded to the cloud server for deep analysis using a powerful Visual Language Model (VLM). When the network is poor or offline, the core AI calculations are performed using the main control processing unit built into the BirdieCoach hardware, ensuring the availability of basic functions.

[0041] Example 3

[0042] like Figure 3As shown, a fan bracket 10 is installed inside the rear shell 2, and ribs 11 are provided on the inner side of the front shell 1 to assist in positioning the fan bracket 10; rib groups are symmetrically provided on the two inner side walls of the front shell 1, each rib group including two upper and lower ribs 11, and the fan bracket 10 is snapped between the ribs 11; in addition, the buckles that cooperate between the front shell 1 and the rear shell 2 can also play a role in assisting in positioning and fixing the fan bracket 10.

[0043] like Figure 6 As shown, a battery 12 is sandwiched between the fan bracket 10 and the rear shell 2. A fan 13 is mounted on the fan bracket 10. The fan bracket 10 is fixed to the rear shell 2 by self-tapping screws. The fan 13 is fastened to the fan bracket 10 by screws and nuts. The fan bracket 10 presses the battery 12 tightly inside the rear shell 2. Ribs are provided on both the rear shell 2 and the fan bracket 10 to jointly position the battery 12.

[0044] Fan 13 is located between motherboard 9 and battery 12, in close proximity to both components for efficient heat dissipation. A vent 14 is located at the bottom of the front casing 1, directly below fan 13, ensuring smooth entry of cool air. This air flows over heat-generating components such as motherboard 9 and battery 12 before being exhausted by fan 13, forming an effective cooling airflow. This active air cooling system ensures stable high-performance operation of the device for extended periods in outdoor environments up to 40°C. Furthermore, battery 12 is a high-rate discharge lithium polymer battery with a capacity of 4000mAh to 5000mAh to meet the device's 2-3 hour battery life requirement under heavy load.

[0045] A magnetic ring 18 is glued to a pre-drilled hole on the inside of the rear shell 2. A switch board 19 is installed on the inside of the rear shell 2 with self-tapping screws. A switch button 20 is installed on the rear shell 2 on one side of the switch board 19 using a snap-fit ​​method. The switch button 20 is fixed to the rear shell 2 by a limiting step on the back of the rear shell 2. A silicone ring 21 for waterproofing is installed at the seam between the front shell 1 and the rear shell 2.

[0046] The USB-C charging port area on the side of the front cover 1 is recessed and equipped with a silicone plug 22 to ensure its waterproof performance. The silicone plug can be fixed to the front cover 1 by a mushroom-shaped buckle to prevent loss. A Type-C board 17 is also fixed on the inner wall of the front cover 1 by self-tapping screws. The silicone plug 22 is installed at the charging port of the front cover 1 on the outside of the Type-C board 17.

[0047] like Figure 1-2 As shown, the rear shell 2 is designed to be shorter in width than the front shell 1, which shifts the seam between the front and rear shells further back, making it less noticeable from the main viewing angle and improving the overall appearance. Silicone components such as the charging port waterproof plug are made of liquid silicone (LSR) material with a Shore hardness between 30A and 50A.

[0048] Example 4

[0049] The motherboard 9 integrates an IMU sensor, which serves as the core sensor for trajectory accuracy calibration. It is directly connected to the hardware processing module via the motherboard 9 and bus to achieve real-time compensation for the device's tilt state. The IMU sensor is a 6-axis IMU sensor with automatic calibration capability and low long-term drift. It is used to acquire the device's attitude. Its output fused attitude information relative to the direction of gravity (such as pitch and roll angles) is mainly used to correct the reference horizontal plane of the trajectory tracking algorithm to improve the accuracy of ballistic calculation.

[0050] Example 5

[0051] The small screen 16 uses a 1.3-inch OLED display module with a resolution of 64x128. This module can connect to the main control processing unit via a standard serial interface (such as I2C or SPI) and includes corresponding driver integrated circuits (ICs) to control the screen display. The glass panel 3 uses cover glass with an average visible light transmittance of greater than 91% and a haze of less than 1%, and is treated with surface anti-reflective (AR) and anti-fingerprint (AF) coatings. In addition, the glass panel 3 uses a black semi-transparent glass design to cover its internal structure when the camera display is off, improving the overall appearance of the device, while ensuring that some content is clearly visible when the display is on, balancing functionality and aesthetics.

[0052] The camera does not have a built-in speaker or microphone; audio interaction is achieved through a user's mobile app: audio input (such as the sound of a ball being hit) is received from the app via Wi-Fi; while system-generated voice feedback (such as coaching instructions) is packaged into audio information and transmitted to the phone, where it is played through the phone's speaker or connected headphones. The system must be capable of receiving and transmitting network audio streams.

[0053] As a smart AI camera, it is equipped with at least 16GB of available storage space and at least 4GB (ideally 8GB) of available memory.

[0054] It's important to note that BirdieCoach is a digital platform focused on golf instruction, providing online tools and resources for students and coaches. The platform covers a wide range of aspects, from online courses and video practice to skill tips and training plans. Skill tips (real-time feedback and suggestions) are key, while others serve as supplementary tools, aiming to create a complete ecosystem for golf instruction.

[0055] It will be apparent to those skilled in the art that this invention is not limited to the details of the exemplary embodiments described above, and that it can be implemented in other specific forms without departing from the spirit or essential characteristics of this invention. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of this invention is defined by the appended claims rather than the foregoing description. Thus, it is intended that all variations falling within the meaning and scope of equivalents of the claims be included within this invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0056] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A smart AI golf teaching camera, comprising a front shell (1) and a rear shell (2), which are connected by multiple snap-fit ​​fasteners; a glass panel (3) is fixedly adhered to the front shell (1), characterized in that: A camera bracket (4) is installed inside the front shell (1). A posture camera (5) and a trajectory camera (6) are respectively installed on the camera bracket (4) at an angle to both sides. The posture camera (5) is used to collect the user's swing action, and the trajectory camera (6) is used to collect the flight trajectory of the golf ball. Camera openings (7) at an angle to both sides are respectively matched on the outer side of the front shell (1). The camera openings (7) are elliptical slots, and the wall of the slot is a conical surface. A power board (8) and a motherboard (9) are installed on one side of the camera bracket (4) inside the front shell (1). The motherboard (9) contains a hardware processing module. The hardware processing module uses the built-in main control processing unit to complete the core AI calculation.

2. The intelligent AI golf teaching camera according to claim 1, characterized in that: The hardware processing module uses a BirdieCoach hardware module, which utilizes the built-in main control processing unit to complete the core AI calculations; the camera establishes a connection with the user's smartphone, but the user's smartphone only serves as a display and interaction medium and does not undertake the calculation tasks of the AI ​​algorithm.

3. The intelligent AI golf teaching camera according to claim 1, characterized in that: A fan bracket (10) is installed inside the rear shell (2). Rib groups are symmetrically arranged on the two inner sidewalls of the front shell (1). The rib group includes two upper and lower ribs (11). The fan bracket (10) is clamped between the ribs (11). A battery (12) is sandwiched between the fan bracket (10) and the rear shell (2). A fan (13) is installed on the fan bracket (10). The fan (13) is located between the motherboard (9) and the battery (12). A vent (14) is opened at the bottom of the front shell (1) directly below the fan (13).

4. The intelligent AI golf teaching camera according to claim 3, characterized in that: A cover plate (15) is provided between the glass panel (3) and the front shell (1). The cover plate (15) is provided with an oblique elliptical slot to fit the camera opening (7). A small screen (16) is installed on the front shell (1) below the camera opening (7). The small screen (16), the glass panel (3) and the cover plate (15) are all fixed to the reserved opening and position of the front shell (1) in sequence by glue.

5. The intelligent AI golf teaching camera according to claim 4, characterized in that: The posture camera (5) and the trajectory camera (6) are fixed to the camera bracket (4) by self-tapping screws. The camera bracket (4), the power board (8), and the motherboard (9) are all fixed to the corresponding screw posts of different lengths inside the front shell (1) by self-tapping screws. A Type-C board (17) is also fixed to the inner wall of the front shell (1) by self-tapping screws.

6. The intelligent AI golf teaching camera according to claim 5, characterized in that: The fan bracket (10) is fixed to the rear shell (2) by self-tapping screws. The fan (13) is fastened to the fan bracket (10) by screws and nuts. The fan bracket (10) presses the battery (12) tightly inside the rear shell (2). Both the rear shell (2) and the fan bracket (10) are provided with ribs to jointly position the battery (12).

7. The intelligent AI golf teaching camera according to claim 6, characterized in that: A magnetic ring (18) is glued to the reserved hole on the inner side of the back shell (2). A switch board (19) is installed on the inner side of the back shell (2) by self-tapping screws. A switch button (20) is installed on the back shell (2) on one side of the switch board (19) by a snap-fit. The switch button (20) is fixed to the back shell (2) by the limiting step on the back of the back shell (2).

8. The intelligent AI golf teaching camera according to claim 7, characterized in that: A silicone ring (21) for waterproofing is installed at the seam between the front shell (1) and the rear shell (2), and a charging port silicone plug (22) is provided on the front shell (1) outside the Type-C board (17).

9. The intelligent AI golf teaching camera according to claim 1, characterized in that: The motherboard (9) integrates an IMU sensor, which serves as the core sensor for trajectory accuracy calibration. The IMU sensor is integrated into the hardware processing module via the motherboard (9) and directly connected to the bus to achieve real-time compensation for the tilt state of the device.

10. The intelligent AI golf teaching camera according to claim 2, characterized in that: The user activates the BirdieCoach hardware module and the smartphone, and the two automatically establish a connection via Wi-Fi.

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