3D Studio Booth Automation with Sensor-Driven Camera Control
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Solution Overview
Problem
Setting up a 3D studio environment for high-quality 3D photography is time-consuming and labor-intensive, requiring manual adjustment of camera settings and background selection based on the subject's characteristics, which becomes difficult when the subject changes pose, shape, or color.
Innovation Solution
A 3D studio system that includes camera and sensor modules dispersed around the subject, a database for storing and correlating camera and driving setting data with sensing signals, and a booth control unit that automatically adjusts camera positions and backgrounds based on real-time sensing data, optimizing the 3D photography environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual adjustment of camera settings and background selection is performed based on subject characteristics, then high-quality 3D images can be obtained, but the process requires a lot of time and effort
Solution Approach 1:
The system enables self-service automation where the subject itself provides the information needed for optimization. Sensors automatically detect subject characteristics (shape, size, color, position) and the system autonomously selects optimal camera settings and background configurations from pre-stored data, eliminating manual intervention while maintaining high image quality
Solution Approach 2:
The system performs preliminary action by pre-storing optimal camera settings, driving settings, and background selections in a database before actual photographing occurs. When a subject is detected, the system quickly retrieves and applies the pre-prepared optimal settings based on subject characteristics, avoiding time-consuming real-time manual adjustments
2Manufacturing precision
If manual adjustment of camera settings and background selection is performed based on subject characteristics, then high-quality 3D images can be obtained, but the process is labor-intensive
Solution Approach 1:
The system enables self-service automation where the subject itself provides the information needed for optimization. Sensors automatically detect subject characteristics (shape, size, color, position) and the system autonomously selects optimal camera settings and background configurations from pre-stored data, eliminating manual intervention while maintaining high image quality
Solution Approach 2:
The system replaces manual mechanical adjustment operations with automated sensing and control systems. Sensors detect subject characteristics and the control unit automatically adjusts camera positions, zoom levels, and background selections based on retrieved optimal settings, substituting human operators with automated electronic control
3Manufacturing precision
If the photographing environment is re-set to conform to changed subject characteristics, then optimal 3D images can be obtained, but difficulties are caused in re-setting
Solution Approach 1:
The system performs preliminary action by pre-storing optimal camera settings, driving settings, and background selections in a database before actual photographing occurs. When a subject is detected, the system quickly retrieves and applies the pre-prepared optimal settings based on subject characteristics, avoiding time-consuming real-time manual adjustments
Solution Approach 2:
The system utilizes parameter changes by storing multiple sets of optimal settings corresponding to different subject parameters (shape, size, color, position). When subject characteristics change, the system detects the new parameters and retrieves the corresponding pre-stored setting parameters, enabling quick adaptation without manual re-configuration
Data Source
AI summary
A three-dimensional studio system includes a booth including camera modules each including a camera and a driving device and sensor modules; a database configured to store camera setting data and driving setting data; a booth control unit configured to transfer a photographed image of the camera to an external image processing device, and provide a camera control signal and a driving control signal to the camera and the driving device, respectively; and a statistical analysis unit configured to back up the camera setting data and the driving setting data in the database by reflecting a rendering correction value.