Project Summary: As the leader of Team 721, participated in the 2021 Campus Patent Universiade, advancing to the first round of presentations with a solution for industrial accident prevention using AI-powered monitoring systems.
Project Overview
Our selected topic was in the Patent Commercialization Sector: A7: Method and System for Motion Based on Interactive Service, proposed by the Electronics and Telecommunications Research Institute (ETRI).
Proposed Solution
We developed a comprehensive solution utilizing CCTV and patrol robots to automatically build a training dataset for a model recognizing hazardous behaviors and accidents. The system aims to prevent industrial accidents and respond effectively when they occur.
Research and Development Process
Expert Consultation During the development process, we received advice from professors, companies, institutions, factory officials, and patent attorneys to ensure our solution was both technically feasible and commercially viable.
Market Analysis We thoroughly reviewed industrial accident reports and analyzed the market impact of the Serious Accident Punishment Act and related government policies to understand the regulatory landscape.
Technical Development Created a comprehensive technology tree and OS matrix, and designed a patent circumvention strategy based on registered patent information. Using IPC patent classification codes in WIPSON, we conducted extensive patent searches.
Business Strategy
Comprehensive Analysis We provided ETRI with detailed analysis using multiple methodologies:
- Personas: Understanding target user groups
- PESTEL: Political, Economic, Social, Technological, Environmental, Legal analysis
- 3C/FAW: Customer, Company, Competitor analysis
- SWOT: Strengths, Weaknesses, Opportunities, Threats assessment
- Business Model Canvas: Complete business model framework
Commercial Strategy Additionally, we proposed a marketing strategy based on technology transfer and provided information on:
- Expected total sales profits and societal contributions
- Growth rate projections
- Potential areas for business expansion
This project demonstrated how advanced computer vision and AI technologies could be applied to critical safety challenges in industrial environments while considering the complete commercialization pathway.