We are hosting Hackster Cafe: Open Hardware Summit. Watch now!
Sumit KumarShubham
Published © MIT

Unlock Passwords with TinyML-based Digit Recognition

Perform the MNIST digit recognition on passwords using the TinyML approach on a tiny MCU.

IntermediateFull instructions provided6 hours810

Things used in this project

Hardware components

M5Stack Core2 ESP32 IoT Development Kit
M5Stack Core2 ESP32 IoT Development Kit
The MCU is an ESP32 model D0WDQ6-V3 and has dual core Xtensa® 32-bit 240Mhz LX6 processors that can be controlled separately. Wi-Fi are supported as standard and it includes an on board 16MB Flash and 8MB PSRAM, USB TYPE-C interface for charging, downloading of programs and serial communication, a 2.0-inch integrated capacitive touch screen, and a built-in vibration motor.
×1

Software apps and online services

Arduino IDE
Arduino IDE
Neuton
Neuton Tiny ML Neuton

Story

Read more

Schematics

Working

Code

Source code

Credits

Sumit Kumar
33 projects • 100 followers
21 y/o | Computer Vision Engineer(R&D) @VisAI Labs | Image Processing @e-conSystems | Ex-Embedded AI Engineer @Neuton.ai
Contact
Shubham
6 projects • 11 followers
Can't resist myself from learning and using AI. Learning to tackle global problems.
Contact

Comments

Please log in or sign up to comment.