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    5. 超入門實作 Python R2多功能智能車
    - 使用Raspberry Pi 4B (IPOE R2)

    超入門實作 Python R2多功能智能車

    Author 陳致中 李文昌
    Publisher 台科大圖書
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    Released
    2023/05/08
    Language
    Traditional Chinese
    File format
    PDF (78MB), fit in large screen and Pubook
    Pages
    317
    ID
    353029
    ISBN
    9789865237486
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    - 使用Raspberry Pi 4B (IPOE R2)

    超入門實作 Python R2多功能智能車-使用Raspberry Pi 4B (IPOE R2)-最新版-附MOSME行動學習一點

    Author 陳致中、李文昌
    Publisher 台科大圖書
    Share
    Released
    2022/07/01
    Language
    Traditional Chinese
    Pages
    320
    ID
    550615
    ISBN
    9789865234164
    DRM
    NT$550
    紙本書
    NT$495
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    庫存 0
    • Intro

    • Chapters

    1.本書使用AI時代最火紅的Python語言。
    2.深入剖析麥克納姆輪移動原理與四軸機器手臂夾爪的控制。
    3.使用OpenCV配合攝影機達成顏色、人臉的AI辨識。
    4.活用TensorFlow Lite、SVM演算法、SSD演算法。
    5.打造多功能自駕車智能系統,實現偵測道路、辨識號誌與行駛速度的深度學習模型。
    More
    More
    Chapter 01認識樹莓派
    1-1 樹莓派Raspberry Pi 的陣容
    1-2 準備作業系統與開機SD 卡
    1-3 設定Raspberry Pi 的網路與遠端連線
    1-4 檔案上傳與下載

    Chapter 02認識R2智能車的基礎電子元件與感測器控制
    2-1 R2 智能車的板載基礎電子元件控制
    2-2 R2 智能車的基礎感測器控制

    Chapter 03麥克納姆輪移動底盤
    3-1 認識麥克納姆輪
    3-2 R2 智能車麥克納姆輪的控制原理
    3-3 R2 智能車的麥克納姆輪控制實作

    Chapter 04認識伺服馬達與機器手臂的控制
    4-1 伺服馬達的控制實驗
    4-2 R2 智能車、影像、機器手臂整合控制

    Chapter 05視訊影像的基礎應用
    5-1 顏色辨識與追蹤
    5-2 自動循跡追蹤辨識與紅綠燈辨識
    5-3 進階循跡追蹤辨識

    Chapter 06臉部辨識與訓練
    6-1 哈爾特徵(Haar-like features)
    6-2 LBP(Local binary patterns)演算法
    6-3 正樣本(positive)與負樣本(negative)

    Chapter 07機器學習machine learning
    7-1 Teachable Machine 視覺分類線上工具
    7-2 Support Vector Machine 支援向量機
    7-3 SSD 演算法

    Chapter 08MQTT介紹與應用
    8-1 安裝MQTT APP
    8-2 MQTT 實作
    More
    More
    • Intro

    • Chapters


    使用AI時代最火紅的Python語言



    深入剖析麥克納姆輪移動原理與四軸機器手臂夾爪的控制



    使用OpenCV配合攝影機達成顏色、人臉的AI辨識



    活用TensorFlow Lite、SVM演算法、SSD演算法



    打造多功能自駕車智能系統,實現偵測道路、辨識號誌與行駛速度的深度學習模型



     


    More
    More


    Chapter 01認識樹莓派


    1-1 樹莓派Raspberry Pi 的陣容


    1-2 準備作業系統與開機SD 卡


    1-3 設定Raspberry Pi 的網路與遠端連線


    1-4 檔案上傳與下載


     


    Chapter 02認識R2智能車的基礎電子元件與感測器控制


    2-1 R2 智能車的板載基礎電子元件控制


    2-2 R2 智能車的基礎感測器控制


     


    Chapter 03麥克納姆輪移動底盤


    3-1 認識麥克納姆輪


    3-2 R2 智能車麥克納姆輪的控制原理


    3-3 R2 智能車的麥克納姆輪控制實作


     


    Chapter 04認識伺服馬達與機器手臂的控制


    4-1 伺服馬達的控制實驗


    4-2 R2 智能車、影像、機器手臂整合控制


     


    Chapter 05視訊影像的基礎應用


    5-1 顏色辨識與追蹤


    5-2 自動循跡追蹤辨識與紅綠燈辨識


    5-3 進階循跡追蹤辨識


     


    Chapter 06臉部辨識與訓練


    6-1 哈爾特徵(Haar-like features)


    6-2 LBP(Local binary patterns)演算法


    6-3 正樣本(positive)與負樣本(negative)


     


    Chapter 07機器學習machine learning


    7-1 Teachable Machine 視覺分類線上工具


    7-2 Support Vector Machine 支援向量機


    7-3 SSD 演算法


     


    Chapter 08MQTT介紹與應用


    8-1 安裝MQTT APP


    8-2 MQTT 實作



     


    asnd
    Chapter 01認識樹莓派
    1-1 樹莓派Raspberry Pi 的陣容
    1-2 準備作業系統與開機SD 卡
    1-3 設定Raspberry Pi 的網路與遠端連線
    1-4 檔案上傳與下載
     
    Chapter 02認識R2智能車的基礎電子元件與感測器控制
    2-1 R2 智能車的板載基礎電子元件控制
    2-2 R2 智能車的基礎感測器控制
     
    Chapter 03麥克納姆輪移動底盤
    3-1 認識麥克納姆輪
    3-2 R2 智能車麥克納姆輪的控制原理
    3-3 R2 智能車的麥克納姆輪控制實作
     
    Chapter 04認識伺服馬達與機器手臂的控制
    4-1 伺服馬達的控制實驗
    4-2 R2 智能車、影像、機器手臂整合控制
     
    Chapter 05視訊影像的基礎應用
    5-1 顏色辨識與追蹤
    5-2 自動循跡追蹤辨識與紅綠燈辨識
    5-3 進階循跡追蹤辨識
     
    Chapter 06臉部辨識與訓練
    6-1 哈爾特徵(Haar-like features)
    6-2 LBP(Local binary patterns)演算法
    6-3 正樣本(positive)與負樣本(negative)
     
    Chapter 07機器學習machine learning
    7-1 Teachable Machine 視覺分類線上工具
    7-2 Support Vector Machine 支援向量機
    7-3 SSD 演算法
     
    Chapter 08MQTT介紹與應用
    8-1 安裝MQTT APP
    8-2 MQTT 實作

     

    askw


    Chapter 01認識樹莓派


    1-1 樹莓派Raspberry Pi 的陣容


    1-2 準備作業系統與開機SD 卡


    1-3 設定Raspberry Pi 的網路與遠端連線


    1-4 檔案上傳與下載


     


    Chapter 02認識R2智能車的基礎電子元件與感測器控制


    2-1 R2 智能車的板載基礎電子元件控制


    2-2 R2 智能車的基礎感測器控制


     


    Chapter 03麥克納姆輪移動底盤


    3-1 認識麥克納姆輪


    3-2 R2 智能車麥克納姆輪的控制原理


    3-3 R2 智能車的麥克納姆輪控制實作


     


    Chapter 04認識伺服馬達與機器手臂的控制


    4-1 伺服馬達的控制實驗


    4-2 R2 智能車、影像、機器手臂整合控制


     


    Chapter 05視訊影像的基礎應用


    5-1 顏色辨識與追蹤


    5-2 自動循跡追蹤辨識與紅綠燈辨識


    5-3 進階循跡追蹤辨識


     


    Chapter 06臉部辨識與訓練


    6-1 哈爾特徵(Haar-like features)


    6-2 LBP(Local binary patterns)演算法


    6-3 正樣本(positive)與負樣本(negative)


     


    Chapter 07機器學習machine learning


    7-1 Teachable Machine 視覺分類線上工具


    7-2 Support Vector Machine 支援向量機


    7-3 SSD 演算法


     


    Chapter 08MQTT介紹與應用


    8-1 安裝MQTT APP


    8-2 MQTT 實作



     


    More
    More

    Details

    Released
    2023/05/08
    Language
    Traditional Chinese
    File format
    PDF: Fit in large screen
    Provide Adobe DRM
    Provide PDF
    Offer DRM free license
    No
    ID
    353029
    ISBN
    9789865237486
    Released
    2022/07/01
    Language
    Traditional Chinese
    Pages
    320
    ID
    550615
    ISBN
    9789865234164

    "Python

    多功能智能車

    IPOE R2

    R2智能車

    Raspberry Pi"

    Buy products firstAnd download app to watch

    Details

    See more 台科大圖書

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    新時代 乙級汽車修護學科題庫必通解析

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    高中英文會話素養Easy Go!

    廚色創藝 - 獨特的果醬畫技法

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    新時代 乙級汽車修護學科題庫必通解析

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    高中英文會話素養Easy Go!

    廚色創藝 - 獨特的果醬畫技法

    新時代 丙級印前製程 - 圖文組版項學術科快攻祕笈使用 Photoshop/ Illustrator CC2023

    新時代 乙級印前製程術科必攻秘笈含線上學科題庫

    丙級西餐烹調學術科通關寶典

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    新時代 丙級印前製程 - 圖文組版項學術科通關寶典

    新時代 丙級視覺傳達設計學術科通關寶典

      

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