投影片講解視訊影片網址:
http://www.youtube.com/playlist?list=PLFL0ylDooClTaryk1IPAvDsqsFQ85-Rd1
This slide is made by the RoBoard team of DMP Electronics Inc.:
https://www.facebook.com/roboard.fans
投影片講解視訊影片網址:
http://www.youtube.com/playlist?list=PLFL0ylDooClTXfy-cFbq7rV1iwP57JFaF
This slide is made by the RoBoard team of DMP Electronics Inc.:
https://www.facebook.com/roboard.fans
投影片講解視訊影片網址:
http://www.youtube.com/playlist?list=PLFL0ylDooClTaryk1IPAvDsqsFQ85-Rd1
This slide is made by the RoBoard team of DMP Electronics Inc.:
https://www.facebook.com/roboard.fans
投影片講解視訊影片網址:
http://www.youtube.com/playlist?list=PLFL0ylDooClTXfy-cFbq7rV1iwP57JFaF
This slide is made by the RoBoard team of DMP Electronics Inc.:
https://www.facebook.com/roboard.fans
Ação de formação para professores - Introdução à programação de arduinos com linguagem Scratch
http://arduinoescola.blogspot.pt/2016/07/arduino-workshop-para-professores.html
introduction of LinkIt Smart 7688 Duo and MCS basics. Contents includes environments setup (Arduino IDE and Web UI); SSH log in; How to program nodejs and python on 7688; Mediatek Cloud Snadbox introduction.
And finally let your 7688 duo interact with MCS.
More interesting: http://www.cavedu.com
Tutorial of LinkIt 7697 IoT dev board, including Arduino IDE setup, BlocklyDuino GUI, Mediatel Cloud Sandbox and how to interact throught BLE (App Inventor).
LinkIt 7697物聯網開發板教學,包含Arduino IDE、BlocklyDuino圖形化介面、MCS雲服務以及使用 App Inventor 進行 BLE 互動.
Power by CAVEDU Education http://www.cavedu.com;
App Inventor TW http://www.appinventor.tw
Python, Raspberry Pi (RPi), face detection @ Pycon Taiwan 2013Will Wang
Python, Raspberry Pi (RPi), face detection @ Pycon Taiwan 2013
Gave a lightning talk about using Raspberry Pi (RPi), IP Cam and SimpleCV (OpenCV in Python) to build a face detection/tracking device. (Selected award in another conference, COSCUP)
Python Conference: https://tw.pycon.org/2013/zh/speaker/
Video: https://www.youtube.com/watch?v=OQiQKBj619U
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
Tiny ML for spark Fun Edge
https://www.ittraining.com.tw/ittraining/it-elearning/el-ai/ai-tensorflow-lite-for-mcu
TensorFlow Lite for MCU正是專為邊緣裝置設計的TensorFlow模型預測框架,是TensorFlow的精簡版本,讓開發者可以在物聯網與嵌入式裝置中部署微型機器學習模型。 本課程將教授AI模型如何佈署於微控制器,包含模型訓練、模型最佳化以及TensorFlow Lite框架的程式開發等。此外,在實作上以Sparkfun edge board (ARM cortex M4)為例,說明如何以TensorFlow Lite 進行微控制器上面的人工智慧開發專案,包含人臉偵測、關鍵字的字詞偵測、姿態識別、異常偵測等。
https://youtu.be/RHvROP94qZ0
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
34. Wireless S4A 架構
Raspberry Pi
Motoduino
(Arduino)
• Linux OS
• S4A protocol implemented
by Python socket
• WiFi with AP mode
• S4A Firmware
• Motor driver (L293D)
• WiFi with STA mode (ESP8266)
WiFi Connection
S4A protocol
34
47. 解析封包格式
1 0
High Byte Low Byte
Channel
[3:0]
Value
[6:0]
HL-identify (2 bit) +
Channel (4 bits) +
Value (10 bits)
Value
[9:7]
47
48. Motoduino Channel Def: Pi
Channel Value
0 Analog Input (0~1023)
1 Analog Input (0~1023)
2 Analog Input (0~1023)
3 Analog Input (0~1023)
4 Analog Input (0~1023)
5 Analog Input (0~1023)
6 Digital : 0/1
7 Digital : 0/1
48
49. Motoduino Channel Def: Pi
Channel Value
4 Continuous Rotation Motor
5 PWM: 0 ~ 255
6 PWM: 0 ~ 255
7 Digital : 0/1
8 Digital : 0/1
9 PWM: 0 ~ 255
10 Digital : 0/1
11 Digital : 0/1
12 Servo Motor
13 Digital : 0/1 49