Arduino TinyML & IoT
- 1. TinyML & IoT SENSA & AIfES
- 2. 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
- 3. Component List Breadboard Arduino Nano 33 BLE Sense LDR Resistor Witty Fox OPT3001
- 5. 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
- 6. 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
- 7. Live Demo of Sensa
- 8. Overview of the App
- 9. Accelerometer readings with Nano 33 BLE
- 10. OPT and LDR regression data collection
- 11. Camera data from ESP32-Cam
- 12. Audio data from ESP32-Cam
- 13. AIfES - Library Installation Artificial Intelligence for Embedded Systems - Fraunhofer IMS
- 14. Regression
- 15. Model Building / Design - Data Definitions
- 16. Model Building / Design - Output Allocation & Layer Definitions
- 19. Memory Allocation & Weight Initialization
- 20. Model Training
- 21. Model Testing
- 22. Q&A!
- 23. 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