MaxLab AI Camera
Valar-Systems·MiniSpeedCam·version/r1.0/hardware/pcb/reference/tokay-lite-pcb-main/ai-camera-rev3.2/ai-camera-rev3.2.kicad_pcb
About the MaxLab AI Camera PCB
MaxLab AI Camera is an open source ESP32 PCB design by Valar-Systems, published on GitHub under the CERN-OHL-S-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.
It belongs with the power & battery designs in this gallery, and the repository also holds 4 earlier revisions of it.
From the project
MiniSpeedCam
Tokay Lite is the ESP32 camera development board ideal for low-power image processing applications on the edge.
Tokay Lite can be used as standalone devkit to aid developers with a convinient tool or be embedded in the bigger system to augument it with the vision and image processing data.
ESP32-S3 chip compatible with TensorFlow Lite, enabling AI right in the device. OV2640 camera sensor delivering 15 fps @ 2MP. Ultra-low power design: programmable external RTC controls the entire power distribution, allowing the device to consume microamps during sleep. Motion detection with wake-up…

Main components on the MaxLab AI Camera
MaxLab AI Camera bill of materials (BOM)
146 components, 38 distinct parts — part numbers from the project's BOM.
| Qty | Part | Footprint | Refs |
|---|---|---|---|
| 1 | TP4057-42-SOT26-R TOPPOWER | SOT-23-6 | U1 |
| 2 | XC6206-2.8V YONGYUTAI | SOT-23 | U2, U7 |
| 1 | PCF85063AT/AAZ PCF85063AT NXP Semiconductors | SO-8_3.9x4.9mm_P1.27mm | U3 |
| 1 | SN74LVC1G373DBVR TI_SN74LVC1G373DBVR Texas Instruments | SOT-23-6 | U4 |
| 1 | SY8089AAAC Silergy | SOT-23-5 | U5 |
| 1 | AS312 PIR_AS312 Senba Sensing | AS312 | U6 |
| 1 | RT9166-12GVL Richtek Tech | SOT-23 | U8 |
| 1 | AP1511B UMW | SOT-23-6 | U9 |
| 1 | ESP32-S3-WROOM-1-N16R8 Espressif | ESP32-S3-WROOM-1 | U10 |
| 1 | MT9284-28J AEROSEMI | SOT-23-6 | U11 |
| 1 | LTR-303ALS-01 Lite-On | Lite-On_LTR-303ALS-01 | U12 |
| 6 | 2N7002 JCET | SOT-23 | Q1, Q2, Q5, Q7, Q9, Q10 |
| 4 | AO3401A Alpha & Omega Semiconductor Inc. | SOT-23 | Q3, Q4, Q6, Q8 |
| 1 | Q13FC1350000400 32.768kHz_Q13FC1350000400 Seiko Epson | Crystal_SMD_3215-2Pin_3.2x1.5mm | Y1 |
| 1 | C47647 Conn-01x02_P2mm_NONAME_JST-PH_C47647 BOOMELE | JST_PH_S2B-PH-SM4-TB_1x02-1MP_P2.00mm_Horizontal | J1 |
| 1 | TYPE-C-31-M-12 Korean Hroparts | USB_C_Receptacle_HRO_TYPE-C-31-M-12 | J2 |
| 1 | MAXLAB | Tag-Connect_TC2050-IDC-FP_2x05_P1.27mm_Vertical | J3 |
| 1 | B-2100S20P-B110 Conn-02x10_P2.54mm_B-2100S20P-B110 Ckmtw | PinHeader_2x10_P2.54mm_Vertical | J4 |
| 1 | 10114829-10102LF Conn-01x02_P1.25mm_10114829-10102LF Amphenol ICC (FCI) | 10114829-10102LF | J5 |
| 1 | AFC01-S24FCC-00 Conn_01x24_FFC_0.5mm_AFC01-S24FCC-00 JUSHUO | Jushuo_AFC01-S24FCC-00_1x24-1MP_P0.50_Horizontal | J6 |
Show 18 more
| Qty | Part | Footprint | Refs |
|---|---|---|---|
| 2 | K2-1102AQ-N4CW-01 SW_PB_90deg_K2-1102AQ-H4CW-01 Korean Hroparts | SW_PB_90deg_K2-1102AQ-H4CW-01 | SW1, SW4 |
| 2 | TS-1187A-B-A-B SW_PB_TS-1187A-B-A-B XKB Connectivity | SW_SPST_TL3342 | SW2, SW3 |
| 2 | KT-0603R 0603_RED_KT-0603R Hubei KENTO | LED_0603_1608Metric | D1, D7 |
| 1 | 19-217/GHC-YR1S2/3T 0603_GREEN_19-217/GHC-YR1S2/3T Everlight | LED_0603_1608Metric | D2 |
| 3 | BSD5C051L SOD-523_BSD5C051L BORN | D_SOD-523 | D3, D4, D5 |
| 2 | B5819W SL B5819W-SL_SOD-123 Jiangsu Changjing Electronics Technology | D_SOD-123 | D6, D8 |
| 10 | E6C0603IRAC1UDA 0603_IR_850nm_E6C0603IRAC1UDA EKINGLUX | LED_0603_1608Metric | D9, D10, D11, D12, D13, D14, D15, D16 +2 |
| 3 | BLM21PG221SN1D FB_2A_0805_220R@100MHz_BLM21PG221SN1D Murata Electronics | L_0805_2012Metric_Pad1.15x1.40mm_HandSolder | L1, L2, L4 |
| 2 | SWPA4030S100MT 10u_1.5A_4x4mm_SWPA4030S100MT Sunlord | L_Sunlord_SWPA40xxS | L3, L5 |
| 7 | TAJB107K006RNJ 100u_CASE-B-3528_TAJB107K006RNJ Kyocera AVX | CP_EIA-3528-15_AVX-H | C1, C11, C12, C25, C38, C39, C40 |
| 48 | CL05A105KA5NQNC 10u_0402_CL05A105KA5NQNC Samsung | C_0402_1005Metric | C2, C3, C4, C5, C6, C7, C8, C9 +40 |
| 2 | 0402CG220J500NT 22p_0402_0402CG220J500NT FH | C_0402_1005Metric | C17, C48 |
| 3 | 0402WGD9763TCE 976k_0402_0402WGD9763TCE UNI-ROYAL | R_0402_1005Metric | R1, R2, R23 |
| 13 | 0402WGD2153TCE 215k_0402_0402WGD2153TCE UNI-ROYAL | R_0402_1005Metric | R3, R13, R15, R16, R17, R18, R19, R21 +5 |
| 3 | 0402WGF1001TCE 1k_0402_0402WGF1001TCE UNI-ROYAL | R_0402_1005Metric | R4, R5, R28 |
| 11 | 0402WGF1002TCE 10k_0402_0402WGF1002TCE UNI-ROYAL | R_0402_1005Metric | R6, R7, R10, R11, R12, R14, R20, R26 +3 |
| 2 | 0603WAF5101T5E 5.1k_0603_0603WAF5101T5E UNI-ROYAL | R_0603_1608Metric | R8, R9 |
| 1 | 0805W8F243KT5E 2.43R_0805_0805W8F243KT5E UNI-ROYAL | R_0805_2012Metric | R33 |
MaxLab AI Camera design files
The KiCad project lives in the Valar-Systems/MiniSpeedCam 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, with part numbers taken from the project's own BOM. The full bill of materials is listed on this page.
Where can I download the MaxLab AI Camera design files?
From the Valar-Systems/MiniSpeedCam repository on GitHub, which has the KiCad layout, the schematic and the BOM; 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 CERN-OHL-S-2.0 license, which Valar-Systems 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.
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Earlier revisions in the repo: ai-camera-rev3.1, ai-camera-rev3, ai-camera-rev2, ai-camera
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