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Digilent IEPE Measurement DAQ Raspberry Pi HAT with Two Coaxial Cable Inputs 6069-471-000
Specifications
| Country of Origin | India |
|---|---|
| Brand | Digilent |
| Form Factor | HAT |
| Accessory Category | Dataloggers |
| Standards/Approvals | RoHS |
| SpecificationsBrandDigilentProduct TypeRaspberry Pi HATProduct NameMCC 172 | IEPE Measurement DAQ HAT for Raspberry Pi with two coaxial CableAccessory CategoryDataloggersForm FactorHATStandards/ApprovalsRoHS |
| Product NameMCC 172 | IEPE Measurement DAQ HAT for Raspberry Pi with two coaxial Cable |
| MCC 172 | IEPE Measurement DAQ HAT for Raspberry Pi with two coaxial Cable |
Key Features
- Designed as a HAT add-on board compatible with Raspberry Pi with a 40-pin GPIO connector.
- Features two IEPE inputs with 24-bit, 51.2 kS/s A/D converters for high-resolution data acquisition.
- Supports AC coupling at a ±5 V range for accurate signal measurement.
- Allows synchronous ADC conversions between multiple boards for stacked configurations.
- Equipped with on-board sample buffers for high-speed acquisition performance.
- Provides an external digital trigger input for precise timing control.
- Supports stacking up to eight MCC 172 HATs on a single Raspberry Pi for expanded input channels.
Product Description
Digilent 6069-471-000 is an IEPE Measurement DAQ HAT designed specifically for use with Raspberry Pi single-board computers. This HAT add-on board features a 40-pin GPIO connector compliant with Raspberry Pi HAT specifications, enabling seamless integration.
The MCC 172 HAT provides two high-fidelity analog inputs optimized for sound and vibration measurements. Each channel uses a dedicated 24-bit analog-to-digital converter operating at a sampling rate of 51.2 kS/s to deliver accurate and detailed data acquisition suited for industrial, laboratory, and educational applications.
Multiple MCC 172 HATs can be stacked, with synchronous ADC conversions ensuring coordinated sampling across up to eight boards.
On-board sample buffers support high-speed data acquisition without data loss during rapid sampling sessions. An external digital trigger input enhances timing precision for triggered measurements.
This product is RoHS compliant and well-suited for applications in electronic testing, scientific research, acoustic or vibration analysis, and development projects requiring accurate IEPE sensor interfacing with Raspberry Pi platforms.
Designed for Raspberry Pi with 40W GPIO HAT form factor. Two IEPE analog input channels with high resolution and sample rate. Stackable design supports up to eight HATs synchronized on one Pi. On-board buffering and external trigger capability for advanced acquisitions.
Explore the full range of Raspberry Pi HATs and add-ons at EnvMart for your project and industrial solution needs.
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Frequently Asked Questions
This model features a sampling rate of 51.2 kS/s for each of its two IEPE inputs, allowing for high-resolution data acquisition.
Up to eight MCC 172 HATs can be stacked on a single Raspberry Pi, with synchronous ADC conversions ensuring coordinated sampling across all boards.
It supports two IEPE analog input channels optimized for sound and vibration measurements.
The product is designed as a HAT add-on board compatible with Raspberry Pi, featuring a 40-pin GPIO connector.
Yes, it is equipped with on-board sample buffers that support high-speed data acquisition without data loss during rapid sampling sessions.
This product is RoHS compliant, ensuring it meets environmental safety standards.
Yes, the model includes an external digital trigger input for precise timing control during measurements.
It is well-suited for electronic testing, scientific research, acoustic or vibration analysis, and development projects requiring accurate IEPE sensor interfacing.
The country of origin for this model is India.
It provides high-fidelity data acquisition through its dedicated 24-bit analog-to-digital converters for each channel.
This model uses two coaxial cable inputs for its IEPE measurement capabilities.
It is primarily used for high-resolution data acquisition in applications involving sound and vibration measurements.
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