CSE/EE475: Embedded Capstone: Edge computing for IoT
Bruce Hemingway with Kuo-Hao Zeng, Mingyuan (Jason) Zhong and Daniel Revier
In this capstone we are exploring Edge Computing using a new RISC-V dual-core processor with a CNN KPU neural network processor, an audio APU and hardware fft unit:
Take special note of the Documents section:
https://www.seeedstudio.com/Sipeed-MAix-BiT-for-RISC-V-AI-IoT-1-p-2873.html
Initial meetings will be TTh 2:30-4:20pm in MGH 231, for background on the hardware, to get our project groups organized, and later for review of progress as needed.
We will meet TTh, 2:30-4:20 p.m. in CSE 003E, and other times as arranged by project teams. This is your lab space, to which you have access at all times. No other claass uses this space this quarter.
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Bruce Hemingway's office hours (CSE464):
Tues & Thurs 10am-12noon
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Introductory Lab Assignments (to be completed by October 3) everyone does these individually
Lab 1: Set up Arduino Code examples: basic_graphics.ino graphictest.ino selfie.ino
Lab 2: Set up PlatformIO Code example: Maix-SpeechRecognizer
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[10/19] Object Detector Tutorial: Run Yolo2 on Sipeed Maix Bit
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Send messages to the class mailing list: multi_ee475a_au19@uw.edu
GitLab is here: https://www.cs.washington.edu/lab/gitlab
References about Sipeed and Kendryte K210
Sipeed-Maix-Bit Pin Assignments
Obtaining additional parts for your project
Project Poster and Final Report
The Student Conduct Code explains that admission to the University carries with it the presumption that students will practice high standards of professional honesty and integrity (WAC 478-120-020 [2]).
In particular, all work (homework and exams) is to be your own individual work. You may discuss programs but NOT copy any code. You may not discuss exams.
UW Policy on Religious Accommodations