Projector Recommendation System Using Look-Up Table Matching
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Solution Overview
Problem
It is challenging for system providers to recommend an appropriate projector for users based on limited information such as site size, projection plane size, and environmental brightness due to the variety of projectors available on the market.
Innovation Solution
A projector recommendation method and system that utilizes a look-up table to calculate and match user input parameters like projection plane size, distance, and environmental brightness with projector specifications, generating a recommendation list or notice for suitable projectors, incorporating calculations for throw ratio, minimum projection brightness, and resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual recommendation process is used by system provider, then flexibility in handling various projector options is maintained, but time consumption and operational complexity increase significantly
Solution Approach 1:
The system enables self-service by allowing users to input their own projection requirements (projection plane size, projection distance, environmental brightness) and automatically generate personalized projector recommendations without requiring system provider intervention. The calculation unit automatically processes these inputs to determine optimal projector specifications.
Solution Approach 2:
The system performs preliminary actions by pre-storing comprehensive projector specification data in the database and pre-establishing the recommendation algorithm. When a user provides basic requirements, the system quickly matches these against the pre-stored data to generate recommendations, eliminating the need for real-time manual analysis of various projector options.
2Measurement precision
If comprehensive projector information is stored in database, then recommendation accuracy improves, but system complexity and data management difficulty increase
Solution Approach 1:
The system segments the complex recommendation task into distinct functional modules: an input unit for collecting user requirements, a calculation unit for processing specifications, and a database for storing projector data. This modular segmentation reduces overall system complexity by making each component's function clear and manageable.
Solution Approach 2:
The calculation unit serves as an intermediary between the user's basic requirements and the comprehensive projector database. It translates user inputs (projection plane size, distance, brightness) into specific projector specifications by querying and filtering the database, thereby managing the complexity of matching comprehensive data with user needs.
3Productivity
If automated calculation system is implemented, then recommendation speed increases, but initial system setup complexity increases
Solution Approach 1:
The system utilizes parameter changes by accepting variable user inputs (different projection plane sizes, distances, and brightness levels) and automatically adjusting the calculation to determine appropriate projector specifications. This allows the system to handle diverse requirements while maintaining a consistent calculation framework, improving productivity without proportionally increasing complexity.
Data Source
AI summary
A projector recommendation method includes steps of providing a look-up table, wherein the look-up table records a plurality of projectors and a plurality of projection parameters corresponding to each of the projectors; inputting a size of a projection plane, a projection distance and an environmental brightness; calculating a projection length according to the size of the projection plane, a target aspect ratio and a blending manner, calculating a target throw ratio according to the projection distance and the projection length, and calculating a target minimum projection brightness according to the environmental brightness, a predetermined brightness level and a projection area; and generating a projector recommendation result according to the target minimum projection brightness, the target throw ratio, a target resolution corresponding to the target aspect ratio and the projection parameters.