陳建廷
任職緯創-資深全端工程師
-專長| 全端開發 >系統整合 >機器視覺
專注於規劃和執行軟體架構，以確保軟體品質和功能正常運作。
在過去的工作中擔任組長，領導團隊解決問題，進行規劃和發展新技術。
強調團隊合作和協調能力，能在團隊中整合各方工作，達成共同目標。
熱愛持續學習和成長，致力於探索新技術和工具，以提升專業能力。
*渴望在未來的挑戰中持續展現專業技能，並貢獻於更大的團隊和專案中。
聯絡我
Lf2net089@gmail.com
CV - https://reurl.cc/DAEdKO
本次投稿 - https://github.com/lf2net089/PoliceWebScraping
Sessions
《英雄聯盟》的大型賽事吸引了眾多觀眾，但小型比賽的曝光度較低。為了提高小型比賽的知名度，提出了「LAIC- League AI Commentator」系統，使用人工智慧技術濃縮比賽內容成摘要，讓觀眾在短時間內了解比賽的重點和轉折。系統包含用戶介面、資訊擷取、生成式人工智慧和語音合成四大部分，各自負責互動、資訊收集、分析和回答生成。團隊計劃將系統與比賽畫面結合，提升觀眾觀看體驗，增加小型比賽的曝光和關注。
The large-scale tournaments of League of Legends have attracted a lot of viewers, but smaller competitions have lower exposure. To increase the visibility of these smaller events, the "LAIC - League AI Commentator" system has been proposed. It utilizes artificial intelligence technology to condense the content of the matches into summaries, allowing viewers to quickly understand the key moments and turning points. The system consists of four main components: user interface, information retrieval, generative AI, and voice synthesis. Each component is responsible for interaction, data gathering, analysis, and generating responses respectively. The team plans to integrate the system with the game footage to enhance the viewing experience for the audience and increase exposure and attention for the smaller competitions.
台灣交通問題一直是社會關注的焦點，而人工智慧（AI）和電腦視覺技術的應用可以為交通狀況帶來改善。
本計劃旨在利用AI和電腦視覺技術來實現交通違規行為舉發與採證技術，捍衛每個用路人該有的權益不被他人佔便宜，共創舒適的用路環境，讓鬼島成為天堂。
The issue of traffic in Taiwan has always been a hot topic for society, and with the power of Artificial Intelligence (AI) and Computer Vision technology, we could transform this situation for the better. This project aims to use these technologies to spot and report traffic rule violations, ensuring everyone's rights on the road are respected and not exploited. Together, we strive to create a more comfortable commuting environment and turn our lovely island from a maze of traffic into a paradise.