Projector Beam Auto-Adjustment Using AI Surface Feedback
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Solution Overview
Problem
Conventional electronic devices with projectors require manual user intervention to determine the location, angle, brightness, and height for beam output, which is inefficient and inconvenient.
Innovation Solution
An electronic device equipped with a camera, projector, adjustment device, driving device, and processor, utilizing AI models to autonomously identify optimal locations and adjust beam output parameters for optimal image projection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual user intervention is used to determine beam output parameters, then the device can be operated with simple hardware, but the operation efficiency and convenience deteriorate
Solution Approach 1:
The electronic device automatically determines beam output parameters (location, angle, brightness, height) using its own camera and processor without requiring external manual intervention. The device serves itself by capturing images, processing them to identify projection surfaces, and autonomously adjusting projector settings based on the analyzed environment.
Solution Approach 2:
The patent replaces manual mechanical adjustment of beam parameters with an automated optical and computational system. The camera captures visual information, the processor analyzes images to determine optimal projection parameters, and the projector automatically adjusts its beam output based on digital processing results rather than manual mechanical control.
2Ease of operation
If automated beam output is implemented, then operation convenience improves, but the complexity of the device increases
Solution Approach 1:
The electronic device integrates multiple functions into a single system: the camera serves both for general imaging and for analyzing projection surfaces, the processor handles both general computation and specific beam parameter determination, and the projector adjusts both beam location and angle automatically. This multi-functionality reduces the need for separate dedicated components for each function.
Solution Approach 2:
The device automatically performs the complete workflow from environment scanning to beam parameter determination and adjustment without user intervention. The camera captures images, the processor analyzes them to identify suitable projection surfaces and determine optimal parameters, and the projector self-adjusts its output, creating a self-service system that improves ease of operation.
3Measurement precision
If AI models are used to determine optimal locations, then measurement precision improves, but the processing time and complexity increase
Solution Approach 1:
The processor performs preliminary analysis of captured images to identify potential projection surfaces and pre-determine optimal beam parameters before actual projection begins. By analyzing the environment in advance and pre-calculating the best projection location and parameters, the system reduces the time needed during actual operation while maintaining high precision.
Solution Approach 2:
The system uses feedback from image analysis to continuously refine beam parameter determination. The camera captures images of the projection surface, the processor analyzes these images to determine optimal parameters, and this information feeds back to adjust the projector settings. This closed-loop feedback mechanism improves precision by using actual environmental data while managing processing time through efficient iterative analysis.
Data Source
AI summary
An electronic device according to an embodiment may include a camera, memory, a driving device configured to move a location of the electronic device, a projector configured to output a beam, an adjustment device configured to adjust at least one of an angle or a height of the beam output from the projector, and a processor. The processor according to an embodiment may be configured to identify, when the electronic device is located in a predetermined space, first values for locations at which a beam corresponding to a content is to be output through the projector in the predetermined space. The processor according to an embodiment may be configured to determine a first location at which a beam corresponding to a content is to be output through the projector, based on the first values, and control the driving device so that the electronic device is moved to the first location. The processor according to an embodiment may be configured to output, when the electronic device is moved to the first location, a first beam for testing through the projector on a first surface corresponding to the first location. The processor according to an embodiment may be configured to identify whether the first image satisfies a designated image condition by inputting, to a first artificial intelligence (AI) model stored in the memory, a first image which is captured through the camera, corresponding to the first beam which is displayed on the first surface. The processor according to an embodiment may be configured to control, based on identifying that the first image does not satisfy the designated image condition, at least one of the adjustment device or the driving device so that the first image satisfies the designated image condition. The processor according to an embodiment may be configured to, based on identifying that the first image satisfies the designated image condition, output the first beam corresponding to the content through the projector on the first surface while controlling, at least one of the adjustment device or the driving device to a state corresponding to the designated image condition.