Computer Vision Bridle Calibration for Live Rigging Setup
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Solution Overview
Problem
Current rigging systems in the entertainment industry require expensive and time-consuming calibration processes, especially in temporary environments where locally-hired staff may not be familiar with the setup, necessitating a simpler and more efficient method to determine the initial positions of rigging elements for live performances.
Innovation Solution
The implementation of computer vision cameras to capture images of the rigging system, process this information into base position data, and transmit it to a control system for precise calibration and setup of the rigging elements before each performance, replacing traditional position sensors and length measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional calibration equipment and methods are used to determine base positions of rigging systems, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces traditional mechanical calibration equipment (such as laser scanners, total stations, and specialized measurement devices) with a computer vision-based optical system. The CV camera captures images of the rigging system, and software algorithms automatically determine base positions of winches and other components, eliminating the need for complex mechanical measurement tools while maintaining measurement precision.
2Measurement precision
If traditional calibration methods are used to determine rigging system positions, then measurement accuracy is improved, but loss of time increases
Solution Approach 1:
The system performs self-calibration by automatically capturing images of the rigging system and using computer vision algorithms to determine base positions without requiring manual measurement or complex setup procedures. The CV camera and processing software work together to autonomously complete the calibration task, significantly reducing the time required compared to traditional methods that require manual operation of specialized equipment.
3Ease of operation
If simple and inexpensive calibration methods are used, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent replaces complex mechanical measurement systems with a simple computer vision-based approach using standard CV cameras and image processing software. This substitution maintains measurement precision through sophisticated algorithms while dramatically simplifying the operation, allowing locally-hired staff to perform calibration without extensive training or specialized knowledge.
4Ease of operation
If multiple staff members are deployed for calibration, then ease of operation is improved, but loss of substance increases
Solution Approach 1:
The calibration system is designed to be easily operable by a single person or even automated with minimal human intervention. The CV camera automatically captures images and the software processes them to determine base positions, reducing the need for multiple staff members and thereby reducing labor costs while maintaining operational capability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces labor costs and setup time, enabling rapid and accurate calibration of complex staging systems, even in international touring scenarios where language barriers may exist, by using low-cost cameras to determine the initial positions of winches and other rigging components.
Implementation Method 1
capturing images of the rigging system during the movement using at least one computer vision camera to determine a base position of the movement mechanisms
Data Source
AI summary
Systems and methods use a computer vision camera to determine where bridles and other rigging items are positioned and provide that information to a control system. This information is used to place the elements of the rigging system before each live performance.