ML Sensor
ilkerya·ML_SensorPCB
About the ML Sensor PCB
ML Sensor is an open source AVR/Arduino PCB design by ilkerya, published on GitHub. It is a 2-layer board measuring 101.6 × 53.4 mm, with 23 components from 9 distinct parts.
Its main chip is the Arduino_Mega2560_Shield, from the AVR/Arduino family. Other key parts include the TCA9548APWR and RTC_DS3231. By type, the board carries 8 resistors, 2 ICs, 2 capacitors, 1 switch and 1 transformer.
Main components on the ML Sensor
ML Sensor bill of materials (BOM)
23 components, 9 distinct parts.
| Qty | Part | Footprint | Refs |
|---|---|---|---|
| 1 | TCA9548APWR | TSSOP-24_4.4x7.8mm_P0.65mm | U1 |
| 1 | RTC_DS3231 | RTC_DS3231 | U3 |
| 8 | BME688_Module | BME688 | MD1, MD2, MD3, MD4, MD5, MD6, MD7, MD8 |
| 1 | SW_DIP_x02 | SW_DIP_SPSTx02_Slide_6.7x6.64mm_W7.62mm_P2.54mm_LowProfile | SW1 |
| 1 | Temp_si072 | Temp_si072 | T1 |
| 1 | Arduino_Mega2560_Shield | Arduino_Mega2560_Shield | XA1 |
| 1 | 10uF | CP_Radial_D5.0mm_P2.00mm | C1 |
| 1 | 10nF | C_0805_2012Metric_Pad1.18x1.45mm_HandSolder | C2 |
| 8 | 10K | R_0805_2012Metric_Pad1.20x1.40mm_HandSolder | R1, R2, R3, R4, R5, R6, R7, R8 |
ML Sensor design files
The KiCad project lives in the ilkerya/ML_SensorPCB repository on GitHub; these links point at the commit this page was built from.
- LayoutE-nose.kicad_pcb
ML Sensor: common questions
What microcontroller does the ML Sensor use?
The ML Sensor is built around the Arduino_Mega2560_Shield, from the AVR/Arduino family.
How big is the ML Sensor PCB?
The ML Sensor measures 101.6 × 53.4 mm, has 2 copper layers and is 1.6 mm thick.
How many components are on the ML Sensor?
23 components, from 9 distinct parts. The full bill of materials is listed on this page.
Where can I download the ML Sensor design files?
From the ilkerya/ML_SensorPCB repository on GitHub, which has the KiCad layout; the links under Design files point to each one.
Can I use the ML Sensor design in my own project?
The repository has no license, so all rights stay with ilkerya. Use it as a reference, and ask the author before reusing the design.
Can I test firmware for the ML Sensor without the hardware?
Yes. HardLabs builds a simulation of the board from its netlist and BOM, so you can run and debug AVR/Arduino firmware against it before you order a PCB.
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