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Ai integrated mcu board

mohamed-belal-10·ai-integrated-mcu-board·hardware/AI_mcu/AI_mcu.kicad_pcb

Ai integrated mcu board layout, top view — open source ESP32 board by mohamed-belal-10

About the Ai integrated mcu board

Ai integrated mcu board is an open source ESP32 PCB design by mohamed-belal-10, published on GitHub under the MIT license. It is a 4-layer board measuring 75.4 × 52.7 mm, with 58 components from 33 distinct parts.

Its main chip is the ESP32-S3-WROOM-1, from the ESP32 family. Other key parts include the AMS1117-3.3, STM32F103C8Tx and USBLC6-2SC6. By type, the board carries 20 resistors, 16 capacitors, 8 connectors, 5 diodes, 4 ICs and 3 switches.

It belongs with the iot & wireless and sensors designs in this gallery.

From the project

Dual-MCU (STM32F103 + ESP32-S3) edge-AI sensing board: MATLAB-trained decision-tree vibration classifier, auto-generated C inference, firmware, and a fabricated KiCad PCB.

A dual-MCU, self-contained edge-AI sensing platform — from trained model to fabricated PCB.

Two microcontrollers, one board: an STM32 handles real-time sensor I/O while an ESP32‑S3 runs a locally-trained decision-tree classifier — no cloud, no internet, verdict in your hand in under 250 ms.

- Project status - Repository structure - System architecture - Hardware design - PCB layout - Machine learning pipeline - Two ML paths: decision tree vs. neural network - Firmware - Reproducing the pipeline - Dependencies - License

Ai integrated mcu board, from the project README
From the project README

Main components on the Ai integrated mcu board

AMS1117-3.3STM32F103C8TxESP32-S3-WROOM-1USBLC6-2SC6

Ai integrated mcu board bill of materials (BOM)

58 components, 33 distinct parts.

QtyPartRefs
1
AMS1117-3.3
U1
1
STM32F103C8Tx
U2
1
ESP32-S3-WROOM-1
U3
1
USBLC6-2SC6
U4
1
Crystal
Y1
1
Conn_01x02
J1
1
st_link connector
J2
1
I2C
J3
1
ADC
J4
1
PWM / Motor
J5
1
SPI (External)
J6
1
UART
J7
1
Generic GPIO
J8
3
SW_Push
SW1, SW2, SW3
1
TYPE-C 16PIN 2MD(073)
TYPE-C 16PIN 2MD
SHOU HAN(首韩)
USB1
3
LED
D1, D2, D4
1
BAT54
BAT54_C8590
CJ(江苏长电/长晶)
D3
1
WS2812B
D5
3
10uF
C1, C2, C13
6
100nF
C3, C4, C5, C11, C12, C16
Show 13 more
QtyPartRefs
1
4.7uF
C6
2
1uF
C7, C15
1
10nF
C8
2
22pF
C9, C10
1
47uF
C14
1
2.2k
R1
2
5.1k
R2, R3
1
1k
R4
5
10k
R5, R7, R8, R13, R20
1
330
R6
4
33
R9, R10, R11, R12
2
4.7k
R14, R15
4
100
R16, R17, R18, R19

Ai integrated mcu board design files

The KiCad project lives in the mohamed-belal-10/ai-integrated-mcu-board repository on GitHub; these links point at the commit this page was built from.

Ai integrated mcu board: common questions

What microcontroller does the Ai integrated mcu board use?

The Ai integrated mcu board is built around the ESP32-S3-WROOM-1, from the ESP32 family.

How big is the Ai integrated mcu board?

The Ai integrated mcu board measures 75.4 × 52.7 mm, has 4 copper layers and is 1.6 mm thick.

How many components are on the Ai integrated mcu board?

58 components, from 33 distinct parts. The full bill of materials is listed on this page.

Where can I download the Ai integrated mcu board design files?

From the mohamed-belal-10/ai-integrated-mcu-board repository on GitHub, which has the KiCad layout and the schematic; the links under Design files point to each one.

Can I use the Ai integrated mcu board design in my own project?

Yes, under the terms of its MIT license, which mohamed-belal-10 chose for the repository.

Can I test firmware for the Ai integrated mcu board without the hardware?

Yes. HardLabs builds a simulation of the board from its netlist and BOM, so you can run and debug ESP32 firmware against it before you order a PCB.

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