epson的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理

Account-Based Growth: Unlocking Sustainable Value Through Extraordinary Customer Focus

為了解決epson的問題，作者Burgess, Bev,Shercliff, Tim 這樣論述：

Bev Burgess is founder and Managing Principal at Inflexion Group, which delivers thought leadership, consulting and training to companies on account-based growth. She has held senior marketing roles at British Gas, Epson and Fujitsu and was Senior Vice President at ITSMA, where she currently acts as

a Senior Advisor. Based near London, UK, she is also the author of A Practitioner’s Guide to Account-Based Marketing and Executive Engagement Strategies, both published by Kogan Page. Tim Shercliff is co-founder and Managing Director at Inflexion Group. Previously a Strategy & Marketing Director at

IBM, he has consulted and worked with companies including Nationwide Building Society, Accenture, PwC, Microsoft and Fujitsu. A senior advisor at ITSMA, he is based near Manchester, UK.

epson進入發燒排行的影片

以3D深度學習及點雲匹配技術進行機械手臂自動化複雜零件分類

為了解決epson的問題，作者賴以衛 這樣論述：

以機械手臂進行零件分類是自動化生產線的主要工作之一，利用結構光掃描器搭配AI深度學習及點雲匹配技術，可快速辨識產線上各個零件的類型，並自動計算每個零件的拾取資訊，然而，隨著零件類型、數量及幾何複雜度的提升，深度學習的數據準備作業將耗費大量時間，且以越複雜的零件進行點雲匹配時，其匹配的誤差也會隨之增加。為克服此等問題，本論文以點資料處理技術對零件的點雲進行處理，改善數據準備耗時及點雲匹配誤差的問題，據以開發一套「複雜零件隨機夾取/分類系統」，達到自動化零件分類之目的。本論文透過對零件之掃描點雲進行一系列濾波、分割及資料集擴增處理，由少量掃描點雲自動化產生大量點雲資料集，藉以進行深度學習的訓練，

於自動化作業現場快速判別零件種類；接著以RANSAC搭配ICP法進行零件的3D CAD模型與其掃描點雲的精準匹配，將事先分析CAD模型所產生的夾取資訊轉換為零件實際擺放的夾取資訊，並依零件辨識結果及其座標轉換，以機械手臂完成零件的夾取與分類。本論文除了詳述如何以點資料處理技術建構深度學習辨識模型及達到點雲之精準匹配，也簡述如何以3D CAD模型求取零件夾取資訊，最終以多種不同幾何特性的複雜零件驗證所提方法的可行性及所開發系統的實用性。

Account-Based Growth: Unlocking Sustainable Value Through Extraordinary Customer Focus

為了解決epson的問題，作者Burgess, Bev,Shercliff, Tim 這樣論述：

Bev Burgess is founder and Managing Principal at Inflexion Group, which delivers thought leadership, consulting and training to companies on account-based growth. She has held senior marketing roles at British Gas, Epson and Fujitsu and was Senior Vice President at ITSMA, where she currently acts as

a Senior Advisor. Based near London, UK, she is also the author of A Practitioner’s Guide to Account-Based Marketing and Executive Engagement Strategies, both published by Kogan Page. Tim Shercliff is co-founder and Managing Director at Inflexion Group. Previously a Strategy & Marketing Director at

IBM, he has consulted and worked with companies including Nationwide Building Society, Accenture, PwC, Microsoft and Fujitsu. A senior advisor at ITSMA, he is based near Manchester, UK.

擴大螺絲定位誤差容許值的裝置之設計與分析

為了解決epson的問題，作者古皓天 這樣論述：

為了降低人力成本並提高產能，產業界已廣泛地運用機械手臂，然而機器手臂運動過程難免會有誤差，過大的誤差將導致任務無法達成。為了確保機械手臂運動、定位精度，產線必須週期性的停機校正，而此舉必然會降低產能。倘若能將機械手臂的可容許定位誤差放大，則可望降低停機校正的頻率。針對機械手臂用於螺絲鎖附的任務，本研究提出一種新創的裝置設計概念，其具備螺孔探測、螺絲放置以及螺絲鎖附的功能。此裝置藉由導螺桿、六連桿機構以及彈簧觸發機構達成所設計之功能。其中用於螺孔位置探測與螺絲放置的六連桿機構，藉由向量迴路法進行分析，其結果顯示沿工作平面的位置誤差小於0.01毫米。並以電腦輔助模擬檢驗其理論分析結果。此裝置能以

單純的機構運動放大機械手臂的可容許誤差，避免使用價格高昂的力量感測器，並且降低產線停機校正機械手臂的頻率。