Gimbal Camera Surround Tracking With Yaw-Distance Steering Control
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Solution Overview
Problem
Existing methods for tracking and photographing targets, such as manual handheld cameras and remote-controlled drones, are labor-intensive, have insufficient tracking strength, and require multiple operators, failing to achieve fully automated and efficient target surveillance.
Innovation Solution
An automatic surround photographing system using a gimbal camera mounted on a robotic car with a steering gear, which calculates yaw axis gimbal angle and distance parameters to control the camera's rotation and the car's direction, ensuring the camera remains perpendicular to the target while maintaining a constant distance, using a PID algorithm to adjust the steering gear rotation angle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual tracking photography with handheld camera and stabilizer is used, then the photographer can track the target, but it requires more labor effort and is very laborious
Solution Approach 1:
The system uses automatic target recognition and tracking algorithms that enable the photographing system to automatically acquire, track, and capture images of targets without human intervention. The control unit autonomously processes video feeds, identifies targets, and adjusts camera parameters, making the system self-sufficient in performing photographing tasks.
Solution Approach 2:
The patent replaces manual mechanical operation with automated electronic control systems. The control unit uses image processing algorithms and automated feedback loops to control camera movement and positioning, substituting the mechanical stabilizer and manual tracking with electronic image stabilization and automated target acquisition systems.
2Adaptability or versatility
If remote-controlled drone aerial photography is used, then aerial views can be obtained, but tracking strength is insufficient and targeted video shooting function is insufficient
Solution Approach 1:
The system introduces an intelligent control unit as an intermediary between the camera system and the target. This control unit processes video feeds in real-time, identifies targets using image recognition algorithms, and automatically adjusts camera parameters and positioning to maintain optimal tracking, thereby enhancing both tracking accuracy and adaptability.
Solution Approach 2:
The patent implements real-time feedback loops where the control unit continuously monitors video feeds, analyzes target position and movement, and automatically adjusts camera settings and positioning. This closed-loop control system ensures high tracking accuracy while maintaining flexibility in shooting angles and distances.
3Adaptability or versatility
If remote-controlled drone aerial photography is used, then aerial views can be obtained, but battery life is short
Solution Approach 1:
The system uses standard consumer-grade cameras and power supplies that are readily available and can be easily replaced. Rather than relying on specialized long-lasting power sources, the system is designed to accommodate standard battery configurations that can be swapped out, making the system more practical and cost-effective.
4Reliability
If manual or drone-based tracking photography is used, then target tracking can be achieved, but two or more tracking photographers are required which does not conform to fully intelligent automation
Solution Approach 1:
The control unit is designed as a multi-functional intelligent system that performs target acquisition, tracking, image processing, and camera control all through a single automated platform. This universal system replaces the need for multiple specialized operators, consolidating all tracking and photographing functions into one intelligent unit that can independently manage the entire photographing process.
Data Source
AI summary
Disclosed are an automatic surround photographing method and system for a target. The method includes: obtaining an angle parameter of a yaw-axis gimbal, and processing an image obtained by a camera to obtain a distance parameter; obtaining, by means of calculation, a control parameter of a rotation angle of a steering gear according to the angle parameter of the yaw-axis gimbal and the distance parameter; and controlling, according to the angle parameter of the yaw-axis gimbal, the rotation of a gimbal of a gimbal camera so as to control the rotation of the camera, and controlling, according to the control parameter of the rotation angle of the steering gear, a rotation angle of the steering gear in a photographing-moving apparatus for placement of the gimbal camera, such that the photographing-moving apparatus surrounds and tracks a target, and performs surround photographing of the target.


