「AI 除了偵錯外，還可以辨認瑕疵種類進而分類，判別流程中是哪一段出了問題」

本集邀請到研華科技事業發展經理 紀明傑 Ray Chi 分享 AI 智造經驗，從最根本的思考架構開始，Ray 闡述如何運用 AI 思維，應對產業變遷，以工廠導入 AI 的實例，引領我們一探智造產線樣貌，掌握 AI 驅動的智慧製造脈動。

精彩時刻

00:00 intro

- 智造現狀＆案例解析

01:21 全球產業變動，AI 思維重整產線

06:36 AI 視覺主動偵錯，人力管理升級

10:50 AI 應用零死角：產能、良率、工安

- AI 落地 101

14:35 跳出框架分析：外部團隊打造適配軟硬體

19:51 AI 導入困境：OT＆IT 的專業整合

- AI 產業發展趨勢

22:12 AI 智造未來：邊緣 AI 伺服器

"Beyond error detection, AI possesses the capability to identify and categorize various defect types, pinpointing exactly where in the process issues arise."

In this episode, we're joined by Ray Chi, Business Development Manager at Advantech, who shares his insights into leveraging AI for smart manufacturing. Starting from the foundational framework, Ray delves into how AI thinking can be applied to adapt to shifts in the industry. Through real-world examples of AI integration in factories, he guides us through the landscape of smart manufacturing lines, helping us to capture the essence of AI-driven smart manufacturing advancements.

Highlights

00:00 intro

- Smart Manufacturing & Case Analysis

01:50 Global Shifts: AI Reshapes Production Lines

06:14 AI Vision Error Detection: Upgrade Traditional Management

10:32 AI Agility: Application in Capacity, Yield & Safety

- AI Implementation 101

14:35 Thinking Outside the Box: Utilizing External Expertise for Tailored Hardware and Software Solutions

19:37 Challenges in AI Implementation: Integration of OT & IT

- AI Industry Trends

22:20 Future of Manufacturing: Edge AI