HardLabs

MaxLab AI Camera

MAHESH-THILAK-K·ADDITIONAL-PROJECT·TokayEdge Lite Platform/OTHER FILES/TokayEdge Lite Platform.kicad_pcb

MaxLab AI Camera PCB layout, top view — open source ESP32 board by MAHESH-THILAK-K

About the MaxLab AI Camera PCB

MaxLab AI Camera is an open source ESP32 PCB design by MAHESH-THILAK-K, published on GitHub under the Apache-2.0 license. It is a 4-layer board measuring 70 × 70 mm, with 146 components from 38 distinct parts.

Its main chip is the ESP32-S3-WROOM-1-N16R8, from the ESP32 family. Other key parts include the TP4057-42-SOT26-R, XC6206-2.8V, PCF85063AT/AAZ, SN74LVC1G373DBVR and SY8089AAAC. By type, the board carries 57 capacitors, 33 resistors, 18 diodes, 12 ICs, 10 transistors and 6 connectors.

From the project

🦎 Overview · ✨ Features · 🔩 Architecture · 📐 PCB Specs · 📦 BOM · 🚀 Quickstart · 📁 File Tree · 🗺 Roadmap · 🤝 Contribute

🦎 Overview · ✨ Features · 🔩 Architecture · 📐 PCB Specs · 📦 BOM · 🚀 Quickstart · 📁 File Tree · 🗺 Roadmap · 🤝 Contribute

TokayEdge Lite Platform is a compact, open-source RISC-V edge inference board built for embedded AI workloads, real-time sensor fusion, and always-on vision applications at the absolute periphery of a network. Engineered from scratch in KiCad on a hardened 4-layer stackup, it pairs a GD32VF103 RISC-V microcontroller with a dedicated Himax HX6538 neural accelerator, a DVP camera interface, a MIPI CSI-2 breakout, and a full sensor peripheral bus — all DRC-clean with zero…

Main components on the MaxLab AI Camera

TP4057-42-SOT26-RXC6206-2.8VPCF85063AT/AAZSN74LVC1G373DBVRSY8089AAACAS312RT9166-12GVLAP1511BESP32-S3-WROOM-1-N16R8MT9284-28JLTR-303ALS-01

MaxLab AI Camera bill of materials (BOM)

146 components, 38 distinct parts.

QtyPartRefs
1
TP4057-42-SOT26-R
TOPPOWER
U1
2
XC6206-2.8V
YONGYUTAI
U2, U7
1
PCF85063AT/AAZ
PCF85063AT
NXP Semiconductors
U3
1
SN74LVC1G373DBVR
TI_SN74LVC1G373DBVR
Texas Instruments
U4
1
SY8089AAAC
Silergy
U5
1
AS312
PIR_AS312
Senba Sensing
U6
1
RT9166-12GVL
Richtek Tech
U8
1
AP1511B
UMW
U9
1
ESP32-S3-WROOM-1-N16R8
Espressif
U10
1
MT9284-28J
AEROSEMI
U11
1
LTR-303ALS-01
Lite-On
U12
6
2N7002
JCET
Q1, Q2, Q5, Q7, Q9, Q10
4
AO3401A
Alpha & Omega Semiconductor Inc.
Q3, Q4, Q6, Q8
1
Q13FC1350000400
32.768kHz_Q13FC1350000400
Seiko Epson
Y1
1
C47647
Conn-01x02_P2mm_NONAME_JST-PH_C47647
BOOMELE
J1
1
TYPE-C-31-M-12
Korean Hroparts
J2
1
MAXLAB
J3
1
B-2100S20P-B110
Conn-02x10_P2.54mm_B-2100S20P-B110
Ckmtw
J4
1
10114829-10102LF
Conn-01x02_P1.25mm_10114829-10102LF
Amphenol ICC (FCI)
J5
1
AFC01-S24FCC-00
Conn_01x24_FFC_0.5mm_AFC01-S24FCC-00
JUSHUO
J6
Show 18 more
QtyPartRefs
2
K2-1102AQ-N4CW-01
SW_PB_90deg_K2-1102AQ-H4CW-01
Korean Hroparts
SW1, SW4
2
TS-1187A-B-A-B
SW_PB_TS-1187A-B-A-B
XKB Connectivity
SW2, SW3
2
KT-0603R
0603_RED_KT-0603R
Hubei KENTO
D1, D7
1
19-217/GHC-YR1S2/3T
0603_GREEN_19-217/GHC-YR1S2/3T
Everlight
D2
3
BSD5C051L
SOD-523_BSD5C051L
BORN
D3, D4, D5
2
B5819W SL
B5819W-SL_SOD-123
Jiangsu Changjing Electronics Technology
D6, D8
10
E6C0603IRAC1UDA
0603_IR_850nm_E6C0603IRAC1UDA
EKINGLUX
D9, D10, D11, D12, D13, D14, D15, D16 +2
3
BLM21PG221SN1D
FB_2A_0805_220R@100MHz_BLM21PG221SN1D
Murata Electronics
L1, L2, L4
2
SWPA4030S100MT
10u_1.5A_4x4mm_SWPA4030S100MT
Sunlord
L3, L5
7
TAJB107K006RNJ
100u_CASE-B-3528_TAJB107K006RNJ
Kyocera AVX
C1, C11, C12, C25, C38, C39, C40
48
CL05A105KA5NQNC
10u_0402_CL05A105KA5NQNC
Samsung
C2, C3, C4, C5, C6, C7, C8, C9 +40
2
0402CG220J500NT
22p_0402_0402CG220J500NT
FH
C17, C48
3
0402WGD9763TCE
976k_0402_0402WGD9763TCE
UNI-ROYAL
R1, R2, R23
13
0402WGD2153TCE
215k_0402_0402WGD2153TCE
UNI-ROYAL
R3, R13, R15, R16, R17, R18, R19, R21 +5
3
0402WGF1001TCE
1k_0402_0402WGF1001TCE
UNI-ROYAL
R4, R5, R28
11
0402WGF1002TCE
10k_0402_0402WGF1002TCE
UNI-ROYAL
R6, R7, R10, R11, R12, R14, R20, R26 +3
2
0603WAF5101T5E
5.1k_0603_0603WAF5101T5E
UNI-ROYAL
R8, R9
1
0805W8F243KT5E
2.43R_0805_0805W8F243KT5E
UNI-ROYAL
R33

MaxLab AI Camera design files

The KiCad project lives in the MAHESH-THILAK-K/ADDITIONAL-PROJECT repository on GitHub; these links point at the commit this page was built from.

MaxLab AI Camera: common questions

What microcontroller does the MaxLab AI Camera use?

The MaxLab AI Camera is built around the ESP32-S3-WROOM-1-N16R8, from the ESP32 family.

How big is the MaxLab AI Camera PCB?

The MaxLab AI Camera measures 70 × 70 mm, has 4 copper layers and is 1.6 mm thick.

How many components are on the MaxLab AI Camera?

146 components, from 38 distinct parts. The full bill of materials is listed on this page.

Where can I download the MaxLab AI Camera design files?

From the MAHESH-THILAK-K/ADDITIONAL-PROJECT repository on GitHub, which has the KiCad layout and the schematic; the links under Design files point to each one.

Can I use the MaxLab AI Camera design in my own project?

Yes, under the terms of its Apache-2.0 license, which MAHESH-THILAK-K chose for the repository.

Can I test firmware for the MaxLab AI Camera 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.

More boards in ADDITIONAL-PROJECT

Similar boards