Cost Calculation for Projection Mapping Objects
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Solution Overview
Problem
In projection mapping, it is challenging to accurately forecast the cost of creating image content for stereoscopic objects, as each object requires individually tailored content, leading to varying costs based on size, shape, and other factors.
Innovation Solution
A cost calculation method using a computer that estimates the shape of an object by analyzing a captured image, calculates the cost of creating a projected image based on the object's shape, and notifies the estimated cost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If individually tailored image content is created for each projection target object, then the image matching accuracy is improved, but the cost and time required for content creation increases
Solution Approach 1:
The system performs preliminary actions by automatically capturing images of the projection target object, estimating its shape, and calculating the required cost before actual content creation begins. This preliminary analysis enables clients to understand the scope and cost implications of individualized content creation, allowing for better planning and resource allocation before the time-intensive content creation process starts.
2Manufacturing precision
If individually tailored image content is created for each projection target object, then the image matching accuracy is improved, but the cost increases
Solution Approach 1:
The system implements feedback by automatically analyzing the captured images of the projection target object, estimating its shape characteristics, and calculating the cost required for creating matched content. This automated feedback loop provides clients with accurate cost estimates before content creation begins, enabling informed decision-making about whether to proceed with individualized content creation or consider alternative approaches.
Solution Approach 2:
The system replaces manual mechanical assessment methods with automated image analysis and shape estimation algorithms. Instead of manually measuring and evaluating projection target objects, the system uses computer vision technology to automatically capture images, estimate shapes, and calculate costs, significantly reducing the time and labor required while improving accuracy.
3Measurement precision
If manual shape estimation and cost calculation is performed for each projection target, then the cost estimation accuracy is improved, but the productivity decreases
Solution Approach 1:
The system replaces manual mechanical assessment methods with automated image analysis and shape estimation algorithms. Instead of manually measuring and evaluating projection target objects, the system uses computer vision technology to automatically capture images, estimate shapes, and calculate costs, significantly reducing the time and labor required while improving accuracy.
Solution Approach 2:
The system enables self-service by automatically performing image capture, shape estimation, and cost calculation without requiring manual intervention. Clients can simply provide the projection target object images, and the system autonomously processes them to generate accurate cost estimates, eliminating the need for time-consuming manual assessments.
Data Source
AI summary
According to an aspect of the present disclosure, there is provided a cost calculation method, by a computer, including estimating a shape of at least one object by analyzing a captured image obtained by capturing an image of the at least one object, calculating, based on the shape of the at least one object, cost concerning creation of an image to be projected onto the at least one object using a projector, and notifying the cost.


