Drone Exercise Video Capture for Consistent Athlete Tracking
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Solution Overview
Problem
Conventional methods for acquiring exercise videos and data face challenges such as difficulty in capturing consistent angles, high costs due to labor-intensive photographer requirements, and limited precision in posture analysis, especially when athletes move outside the camera's view or change direction.
Innovation Solution
A system utilizing a drone equipped with sensors and a camera, which receives input values for flight height, sensor distance, and angular displacement to maintain consistent positioning and capture video data, allowing for precise exercise video recording and data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a camera is installed at a fixed position to capture exercise video, then the camera structure is simple and stable, but it is difficult to record movement when the athlete moves outside the camera angle and cannot maintain consistent capture angles
Solution Approach 1:
The patent transforms the static camera system into a dynamic drone-based system that can actively move and adjust its position to track the athlete throughout the exercise area, ensuring continuous and consistent video capture regardless of athlete movement
Solution Approach 2:
The drone is equipped with automatic position holding functionality and athlete tracking capabilities that allow it to autonomously maintain optimal capture positions without requiring manual intervention, ensuring reliable and consistent video recording
2Adaptability or versatility
If a track is used to move the camera to follow the athlete, then the camera can move with the athlete, but it is difficult to consistently obtain video at the same angle unless the athlete moves parallel to the track
Solution Approach 1:
The drone provides three-dimensional movement capability compared to the linear track, allowing it to dynamically adjust its position and orientation to maintain consistent capture angles from any direction during athlete exercise
Solution Approach 2:
The drone incorporates sensors and control systems that continuously monitor the athlete's position and the drone's own orientation, automatically adjusting flight parameters to maintain the desired capture angle consistency
3Manufacturing precision
If professional photographers are used to acquire exercise video, then video quality can be improved, but high labor costs are incurred and consistent angle capture depends on photographer capability
Solution Approach 1:
The drone system performs automatic athlete tracking and position holding functions autonomously through integrated sensors and control algorithms, eliminating the need for skilled photographers while maintaining high video quality through automated precision positioning
Solution Approach 2:
The patent replaces the manual mechanical operation of photographers with an automated drone system equipped with sensors and intelligent control, substituting human skill with automated technological functions
4Ease of operation
If conventional naked eye observation by coaches is used to analyze exercise posture, then the method is simple to implement, but the precision is limited and cannot provide efficient posture improvement
Solution Approach 1:
The patent replaces subjective human visual observation with objective automated video analysis systems that use computer vision and image processing algorithms to precisely measure and evaluate athlete posture, providing quantifiable and accurate performance data
Data Source
AI summary
A method for obtaining an exercise video may be disclosed. According to an embodiment of the present invention, the method may comprises the steps of: receiving a first value for specifying a flight height of a drone, a second value for specifying a distance between a first sensor of the drone and a first point on a surface of a first athlete, and a third value for specifying an angular displacement of the drone in a direction from the first point toward the first sensor with respect to a front direction of the first athlete, confirming information that the drone is at the same height as the first value and obtaining video data obtained by a measurement value of at least one sensor of the drone and the first sensor.