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TinyML & IoT
SENSA & AIfES
Agenda
Introduction To Sensa
Arduino Nano BLE Sense Accelerometer
Sensa Audio Features
Recording LDR & OPT data
Q&A
Sensa Image Features
Intro to TinyML
AIfES
Regression
Model Building
Deployment
Q&A
Component List
Breadboard
Arduino Nano 33 BLE Sense
LDR
Resistor
Witty Fox OPT3001
Introducing Sensa
Introducing Sensa
Sensa is a in-house app developed by TIF
Labs
It is designed to simplify the pipeline of
implementing and deploying IoT and
TinyML on your device
Some features of Sensa
1
Record and save
serial data
Display serial data
in tabular form
2
Generating
interactive graphs
for collected data
3
Exporting data to
CSV format
4
Uploading preset
codes directly to
microcontroller
5
Displaying and
saving image data
over WiFi
6
7
Recording
regression data
Relabelling data
8
Displaying and
saving image data
over WiFi
9
Exporting data to
CSV format
10
Uploading preset
code directly to
microcontroller
11
Live Demo of Sensa
Overview of the App
Accelerometer readings with Nano 33 BLE
OPT and LDR regression data collection
Camera data from ESP32-Cam
Audio data from ESP32-Cam
AIfES - Library Installation
Artificial Intelligence for Embedded Systems - Fraunhofer IMS
Regression
Model Building / Design - Data Definitions
Model Building / Design - Output Allocation & Layer
Definitions
Miscellaneous Helper Functions
Model Architecture
Memory Allocation & Weight Initialization
Model Training
Model Testing
Q&A!
Day 1
March 21
Introduction to Arduino
Overview of Various
Arduino Boards
Getting Started with
Arduino
Day 2
March 22
Averse to writing code?
Program Arduino using
Blocks
Day 3
March 24
Arduino & Industry
Day 5
March 26
End to End TinyML
application using
Sensa & AIFES with
Arduino
Day 4
March 25
Exploring TinyML with
Arduino & Edge
Impulse
Overview of the Arduino Week
Feedback : https://forms.gle/E1kxWcTdaWqEzueRA
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Arduino TinyML & IoT

Editor's Notes

  • #2: Add TIF Labs logo
  • #14: Will try to keep the pace slow for those who want to follow along
  • #23: Walkthrough XOR classification example if time permitting Walkthrough more features of edge impulse if time permitting