Billboard Rating System Using Computer Vision
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Solution Overview
Problem
Current systems face challenges in tracking and ensuring billboards meet aesthetic and safety standards, often requiring physical audits and struggling to conform with local regulations, which can impact road safety and visual distractions.
Innovation Solution
A computer system and method that generates aesthetics and safety ratings for billboards using data from connected cars, cameras, and social media, creating 3D models and providing recommendations for improvement based on safety, aesthetics, and legal conformance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical audits are used to track billboard compliance, then measurement precision can be improved, but loss of time and productivity deteriorate due to manual inspection requirements
Solution Approach 1:
The patent replaces manual physical audits with an automated computer vision system using cameras, image processing algorithms, and machine learning models to detect and evaluate billboard compliance, thereby eliminating time-consuming manual inspections while maintaining or improving measurement precision
Solution Approach 2:
The system enables billboards to be automatically monitored and evaluated without human intervention, with the computer vision system performing self-assessment of compliance status, safety issues, and aesthetic ratings through automated image capture and analysis
2Reliability
If comprehensive safety and aesthetic monitoring is implemented, then reliability of compliance tracking improves, but device complexity increases due to multiple data sources and processing requirements
Solution Approach 1:
The patent implements a multi-functional system where a single integrated platform performs multiple functions including safety detection, aesthetic evaluation, compliance verification, and 3D modeling using common hardware and software components, thereby improving reliability without proportionally increasing complexity
Solution Approach 2:
The system merges multiple data sources (connected cars, cameras, social media) and processing functions into a unified computer vision platform that simultaneously handles safety, aesthetic, and compliance analysis, reducing overall system complexity through integration
3Productivity
If automated computer vision systems are deployed, then productivity improves through automation, but device complexity increases due to advanced processing requirements
Solution Approach 1:
The patent replaces manual auditing processes with automated computer vision technology, using algorithms and machine learning models to perform compliance checks, safety assessments, and aesthetic evaluations automatically, thereby dramatically improving productivity while managing complexity through software-based solutions
Data Source
AI summary
A method, computer system, and computer program product for billboard aesthetics and safety rating generator are provided. The embodiment may include receiving, by a processor, a plurality of information related to a billboard. The embodiment may also include extracting specific billboard information from the received data. The embodiment may further include generating ratings on safety, aesthetics and legal conformance levels of the extracted billboard information. The embodiment may also include generating a 3D model of the billboard that incorporates updates based on the generated ratings. The embodiment may further include generating improvement recommendations designed to increase the generated ratings.