2 layers65 × 58.5 mm
Carrier
open-pasture/opencollar
OpenCollar: a virtual-fence collar you can buy assembled or build from published parts.
100 partsApache-2.0
2 layers100 × 50 mm
IMU Board
phancak/IMU_Board26-Axis IMU + Qvar Sensing Node with Edge AI capabilities. Specialized for high-accuracy motion tracking and charge-variation detection in modular embedded systems.
- Size
- 100 × 50 mm
- Copper layers
- 2
- Thickness
- 1.6 mm
- Parts
- 42
- Nets
- 30
- Pads
- 138
- Tracks, vias
- 358, 175
- Pours
- 137
- Routed
- Yes
- KiCad
- KiCad 8.0 (file 20240108)
- Created
- 16 Mar 2026
- Updated
- 4 Sep 2026
Overview
IMU Board is an open-source printed circuit board by phancak, from the phancak/IMU_Board repository on GitHub, published under the MIT licence. It is a 2-layer board of 100 × 50 mm with 42 parts on 30 nets, routed with 358 tracks and 175 vias.
It is built around the ISM330BX and SMAJ6.0A. Its parts include 12 capacitors, 11 resistors, 3 connectors, 1 IC and 1 diode. It belongs with the sensors and measurement boards of this library.
Main components
2
ISM330BX
LGA-14L(2.5x3)-40℃~+85℃ 1.71V~3.6V 16bit 2.6uA 4.5KB IMU (accelerometer + gyroscope) Motion event detection、Synchronization and timestamp SPI、I2C、I3C X,Y,Z X,Y,Z ±4000dps ±8g LGA-14L(2.5x3) Accelerometers ROHSSTMicroelectronicsAccelerometers
SMAJ6.0A
DO-214AC(SMA)-65℃~+150℃ 10.3V 38.8A 400W@10/1000us 6V 7.37V 800uA IEC 61000-4-2、IEC 61000-4-4 TVS Unidirectional DO-214AC(SMA) ESD and Surge Protection (TVS/ESD) ROHSLittelfuseESD And Surge Protection (TVS/ESD)
README
README.md🛰️ Precision Inertial & Qvar Sensing Node
6-Axis Motion Tracking + Electrostatic Charge Variation Sensing
📑 Quick Access
📖 Overview
This board is a specialized sensing node built around the STMicroelectronics ISM330BX iNEMO inertial module. It represents a "Next-Gen" approach to environmental sensing by combining high-accuracy 3D gyroscopic and accelerometric tracking with Qvar (Charge Variation) sensing technology.
Designed as a core component of my Modular Instrumentation Ecosystem, this board integrates seamlessly with my USB-PD Power Hub for filtered power and the STM32H7S3 System-on-Module for high-speed digital signal processing and edge computing.
🛠 Technical Architecture
1. Motion & Vibration Intelligence
The ISM330BX is an industrial-grade IMU featuring an integrated Machine Learning Core (MLC) and Finite State Machines (FSM).
- 6-Axis Tracking: High-stability 3D accelerometer and 3D gyroscope with ultra-low noise floor.
- Edge Processing: The MLC allows for complex gesture recognition or vibration pattern detection to occur directly on the sensor, significantly reducing the interrupt load and power consumption of the STM32H7 host.
2. Qvar (Charge Variation) Detection
The board breaks out two dedicated Qvar pads, utilizing the ISM330BX’s internal analog-to-digital circuitry to measure minute electrostatic charge changes.
- Applications: Ideal for human-proximity interaction, "skin contact" detection, or liquid leak sensing in sealed enclosures.
- Signal Integrity: The Qvar traces are routed with high-impedance considerations to prevent parasitic coupling, ensuring the sensitivity of the analog front-end is maintained.
3. System Interconnect & Power
- Dual Interface: Supports both I2C and SPI (up to 10MHz) for high-bandwidth data acquisition.
- Modular Compatibility: Features standardized headers that mate directly with my Modular Power Hub, ensuring the sensor receives the low-ripple, stable voltage required for precision inertial measurements.
📐 Hardware Specifications
| Feature | Component / Specification |
|---|---|
| Primary Sensor | ST ISM330BX (iNEMO 6-axis IMU) |
| Sensing Channels | 3D Accel, 3D Gyro, Dual Qvar Channels |
| Embedded Intelligence | Machine Learning Core (MLC) & FSM |
| Communication | I2C / SPI |
| Form Factor | Modular Plug-and-Play for "PH-Ecosystem" |
🏗 Why Multi-Modal Sensing?
The combination of inertial data and charge variation (Qvar) allows for sophisticated system diagnostics that standard sensors cannot achieve:
- Leak Detection: In oceanographic or sealed industrial housings, Qvar can detect the presence of moisture or liquid ingress long before it reaches critical electronics.
- HMI Intelligence: Distinguishes between physical device movement (IMU) and intentional human touch or proximity (Qvar).
- Vibration Analysis: Utilizing the MLC to categorize mechanical "health" states in real-time, sending only high-level alerts to the system controller.
Parts
42| Qty | Value | Footprint | References |
|---|---|---|---|
| 4 | 10M | Resistor_SMD:R_0805_2012Metric_Pad1.20x1.40mm_HandSolder | R3, R4, R5, R7 |
| 4 | MountingHole_Pad | MountingHole:MountingHole_3.2mm_M3_Pad | H5, H6, H7, H8 |
| 3 | 100p | Capacitor_SMD:C_0805_2012Metric_Pad1.18x1.45mm_HandSolder | C3, C7, C13 |
| 2 | 100n | Capacitor_SMD:C_0805_2012Metric_Pad1.18x1.45mm_HandSolder | C1, C6 |
| 2 | 10k | Resistor_SMD:R_0805_2012Metric | R8, R9 |
| 2 | 10n | Capacitor_SMD:C_0805_2012Metric | C15, C16 |
| 2 | 1k | Resistor_SMD:R_0805_2012Metric_Pad1.20x1.40mm_HandSolder | R13, R16 |
| 2 | 1u | Capacitor_SMD:C_0805_2012Metric | C8, C14 |
| 2 | 2u2 | Capacitor_SMD:C_0805_2012Metric | C17, C18 |
| 2 | Diode_PESD5V0U2BT-Q | Package_TO_SOT_SMD:SOT-23 | DI1, DI2 |
| 2 | LOGO | Personal_Project:PCB_Logo | G***, G*** |
| 1 | 100k | Resistor_SMD:R_0805_2012Metric | R6 |
| 1 | 10k | Resistor_SMD:R_0805_2012Metric_Pad1.20x1.40mm_HandSolder | R1 |
| 1 | 1u | Capacitor_SMD:C_0805_2012Metric_Pad1.18x1.45mm_HandSolder | C5 |
| 1 | 33R | Resistor_SMD:R_0805_2012Metric_Pad1.20x1.40mm_HandSolder | R2 |
| 1 | Diode_BZX84C6V2-7-F | Personal_Project:Diode_BZX84C6V2_SOT96P240X110-3N | Z3 |
| 1 | FPC_10051922-1010ELF | Personal_Project:FPC_10051922_1010 | FPC1 |
| 1 | I/O_HDR | Connector_PinHeader_2.54mm:PinHeader_2x05_P2.54mm_Horizontal | J4 |
| 1 | I2C1_Headers | Connector_PinHeader_2.54mm:PinHeader_2x03_P2.54mm_Horizontal | J5 |
| 1 | ISM330BX | Personal_Project:ISM330BX-LGA-14L_3x2.5mm_P0.5mm_LayoutBorder3x4y | U1 |
| 1 | JST_S3B-XH-2.54 | Personal_Project:JST_S3B-XH-SHDRRA3W64P0X250_1X3_990X1150X610P | JST2 |
| 1 | LDO_LDLN050PU18R | Package_DFN_QFN:DFN-8-1EP_3x3mm_P0.65mm_EP1.7x2.05mm | LDO2 |
| 1 | LDO_LDLN050PU33R | Package_DFN_QFN:DFN-8-1EP_3x3mm_P0.65mm_EP1.7x2.05mm | LDO3 |
| 1 | MOSFET_SI2333DDS-T1-BE3 | Personal_Project:MOSFET_ SI2333DDS_SOT_DS-T1-BE3_VIS | Q3 |
| 1 | SMAJ6.0A | Personal_Project:DO-214AC-2 | D2 |
| 1 | TA0_Jumper | Connector_PinHeader_2.54mm:PinHeader_1x03_P2.54mm_Vertical | J2 |
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Questions
How big is the IMU Board PCB?
It measures 100 × 50 mm and has 2 copper layers, 1.6 mm thick.
What parts does the IMU Board use?
42 parts, built around the ISM330BX and SMAJ6.0A. The full list of its parts is on this page, with links to each part's symbol and footprint where PCBKit's library has them.
Where can I download the IMU Board KiCad files?
From the phancak/IMU_Board repository on GitHub, at the commit this page was made from: the board is IMU_Board.kicad_pcb and its schematic IMU_Board.kicad_sch. PCBKit opens the board in the browser, with nothing to install.
Can I use the IMU Board design in my own project?
Its repository publishes it under the MIT licence: you may reuse it on that licence's terms (keep the author's notice, and for a copyleft licence share your changes alike).