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工業技術研究院

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技術名稱: 自然語意分析應用系統

技術簡介

1.以物流為例,物流士在運送貨物過程中,會很頻繁的跟收貨人透過電話聯繫收貨時間與地點,但由於運送作業繁忙,迫切需要語音助理協助與收貨人溝通,以減輕物流士的工作負擔與提升效率。 2.物流士送貨過程中,會需要即時地去查詢託運單上的寄、收件人的相關地址、郵遞區號、連絡電話或公司名稱等資料,如果可以透過語音方式進行查詢,可以有效減少開車時的安全疑慮。

Abstract

(1) The express driver will frequently contact the consignee by phone to contact the time and location of the delivery. However, due to the busy delivery operation, the voice assistant is urgently needed to help communicate with the consignee. (2) During the delivery process of the logistics, it will be necessary to check the information on the consignment note, the relevant address of the recipient, the postal code, the contact number or the company name in real time. If the query can be carried out by voice, it can effectively reduce safety concerns

技術規格

1.以宅配託運單資訊為主的語意分析模組 2.RASA 1.9.5 語意分析引擎 3.Python 3.6.8 程式撰寫環境 4.自動語音轉文字,再由文字進行語意分析,找出想要執行的動作

Technical Specification

1.Semantic analysis module based on delivery consignment note information 2.RASA 1.9.5 semantic analysis engine 3.Python 3.6.8 programming environment 4.Automatically convert speech to text, and then perform semantic analysis from text

技術特色

發展適合物流業應用之自然語意分析解決方案,做為進出貨或配送作業之語音控制、溝通基礎,達成減少現場人員雙手操作的負擔,或是減少動手打字、寫字之動作

應用範圍

物流業/倉儲業

接受技術者具備基礎建議(設備)

可安裝RASA 1.9.5 及 Python 3.6.8 版本之伺服器或電腦系統

接受技術者具備基礎建議(專業)

熟悉伺服器架構 熟悉Python程式設計 電腦及語意分析基礎知識

技術分類 U-智慧倉儲/物流

聯絡資訊

聯絡人:涂兆輝 智慧物流與供應鏈整合服務組

電話:+886-3-5919165 或 Email:kenny_tu@itri.org.tw

客服專線:+886-800-45-8899

傳真:

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