Robot Projector Dynamic Area Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional projector-equipped robots fail to optimize image projection based on the type of content and ambient environment, resulting in suboptimal imaging services for users.
Innovation Solution
A robot with a projector and a controller that selects a projection area based on information related to the content and user viewing, using a driving unit and angle-adjustable projector to project images optimally, considering factors like illuminance and physical features of the space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the robot projects images to the closest preset screen or wall or ceiling, then the projection operation is simple, but the imaging service quality is suboptimal
Solution Approach 1:
The system dynamically adjusts the projection area selection based on content type and ambient environment conditions. The controller automatically determines optimal projection parameters by analyzing real-time environmental data and content characteristics, transforming the static preset projection into a dynamic adaptive process that optimizes imaging quality without requiring manual intervention
Solution Approach 2:
The system incorporates environmental sensing capabilities that continuously monitor ambient conditions and provide feedback to the controller. This feedback mechanism enables the system to automatically adjust projection parameters based on detected environmental factors, thereby optimizing imaging quality while maintaining operational simplicity
2Ease of manufacture
If the robot projects images to a preset screen or wall or ceiling, then the projection setup is straightforward, but the projection area cannot be optimized according to content type and ambient environment
Solution Approach 1:
The projection system is designed to handle multiple content types and environmental conditions through a single unified controller that automatically selects appropriate projection areas. The system can adapt to various projection scenarios (different content types, ambient conditions, and spatial configurations) without requiring separate setup procedures, thereby maintaining simplicity while enhancing adaptability
Solution Approach 2:
The system automatically adjusts projection parameters including area selection, size, and positioning based on content type and ambient environment conditions. The controller modifies these parameters dynamically without requiring changes to the physical projection setup, thereby maintaining ease of manufacture while achieving optimization
3Device complexity
If the robot uses a fixed projection area, then the device structure is simple, but it cannot provide immediate image projection to areas adjacent to the user
Solution Approach 1:
The system pre-identifies multiple potential projection areas within the environment and maintains readiness to project to any of these areas. By having projection areas pre-mapped and available for selection, the system can immediately project images to areas adjacent to the user without requiring complex real-time calculations or structural modifications
Solution Approach 2:
The controller acts as an intermediary that manages the selection between fixed projection areas based on user position and content requirements. This intermediary function enables rapid redirection of projection to adjacent areas without requiring the robot to physically move or complex structural changes, thereby maintaining device simplicity while improving delivery speed
Data Source
AI summary
Disclosed is a robot projecting an image that selects a projection area in a space based on at least one of first information related to content of an image to be projected and second information related to a user viewing the image to be projected, and projects the image to the projection area.