臺灣博碩士論文加值系統

為改善傳統自動販賣機缺乏系統化管理，多了很多閒置時間與不佳的銷售狀況，本文將嘗試開發一個新型智慧型自動販賣機並在其上搭配實時影像辨識系統，以利於蒐集消費者消費習慣，成為智慧型的無人商店。為驗證此新型自動販賣機得以改善舊有機台的缺點，將以實測的方式去測試兩者的差異性，經由實測結果顯示，新型智慧型自動販賣機確實達到增加商品銷售並節省成本的目的，期盼可作為自動販賣機設計之參考，預期將有商品化的可能。

In order to improve the lack of systematic management of traditional vending machines, and a lot of idle time and poor sales situation, this paper will try to develop a new type of intelligent vending machine and with real-time face recognition use the facial features the collection of consumer spending Habits, become intelligent self-service store. In order to verify the shortcomings of this new type of vending machine to improve the old machine, the difference between the two will be measured experimentally. The experimental results show that the new type of intelligent vending machine does achieve the purpose of increasing the sales of goods and saving the cost. Can be used as a reference for vending machine design, it is expected that there will be commercialization.

誌謝 I
摘要 II
ABSTRACT III
目錄 IV
圖目錄 VI
表目錄 VIII
符號說明 IX
第一章 緒論 11
1.1研究背景與動機 11
1.2文獻回顧 12
1.3研究目的 15
1.4章節概要 16
第二章 智慧型自動販賣機系統 17
2.1軟體框架 17
2.1.1智慧型自動販賣機管理模式 17
2.1.2人臉辨識系統 20
第三章 機構設計與實驗設備 23
3.1機構設計 23
3.2實驗設備 28
3.2.1監控設備 29
3.2.2永磁直流蝸桿減速馬達 30
3.2.3 Upboard控制板 31
3.2.4電路驅動板 32
3.2.5 Processing 33
3.2.6 OpenCV 37
3.3實測流程與步驟 38
第四章 實測結果與討論 40
4.1 實測規劃 40
4.1.1 實測結果 43
4.1.2 人臉辨識統計 47
4.2 結果與討論 48
第五章 結論與未來展望 50
5.1 結論 50
5.2未來展望 50
參考文獻 52

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