(1)蘭花種苗品質分級系統；(2)基於行動裝置之舌象分析管理系統 ；(3)自動化軸承瑕疵檢測系統
- 蘭花種苗品質分級系統 / Orchid Seedling Quality Grading System
演講摘要：
蝴蝶蘭苗株在出口貨運包裝前之分等相當重要，均以人工檢視產品後進行分等，耗時費工且無法統一標準。蘭花種苗分級透過目視葉片數目、大小和氣根粗細、數目、是否有黑斑，耗時費工，標準不一，若以自動化視覺分級可改善缺失。
Abstract:
Phalaenopsis seedlings grading is very important before freight packaging in export, both manually view the product after grading, time-consuming work and can`t be uniform standards. Orchid seedling grading through the visual number of leaves, size and root thickness, number, whether there are dark spots, time-consuming and labor-intensive, different standards, if automated visual grading can improve the missing.
- 基於行動裝置之舌象分析管理系統 / Health Management with Tongue Analysis Based on Mobile Devices
演講摘要：
行動裝置舌診系統以中醫為基礎之自動化舌診系統為根基，讓使用者可於任何時間、地點利用手機擷取舌部影像，上傳至雲端進行舌部特徵分析，並提供登入會員機制、記錄個人資料(如年齡、性別、體重、地址及電話等)、紀錄查詢以及個人健康趨勢等功能，即時評估使用者之身體健康狀態，達到健康管理功效。
Abstract:
The tongue analysis is based on mobile dervices, and use the Automated Tongue Diagnosis System whitch is based on Chinese medicine achieve tongue analysis. It allowing user to capture the tongue image of the mobile phone at any time and any place upload to the cloud for tongue analysis,and provide login membership mechanism and record personal Information such as age, gender, weight, address and telephone number, record inquiry and personal health trend, to assess user's health status immediately and achieve the health management efficacy.
- 自動化軸承瑕疵檢測系統 / Automatic Bearing Defect Inspection System
演講摘要：
現今各機械器具皆由許多軸承相連接，當軸承有瑕疵便會影響整個器具安全。目前業界大多是以人工檢測為主，但此種方式耗時長，人工成本高，且精確度不一致。本研究透過電腦視覺及影像處理技術，針對軸承表面瑕疵檢測，減少成本，提高生產效率。
Abstract:
Nowadays, all kinds of mechanical equipment are connected by many bearings. When the bearing is defective, the safety of the whole appliance will be affected. At present, most of the industry is based on human eye detection, but this method takes a long time and has high labor costs and inconsistencies in accuracy. Through computer vision and image processing technology, this study aims at reducing the cost and improving the production efficiency of bearing surface defects.
林明志 / 影像處理實驗室;
陳志鵬 / 影像處理實驗室;
