MCC DAQ HATs for Raspberry Pi®
Measurement Computing (MCC) is a leading supplier of high-quality data acquisition devices that are easy-to-use, easy-to-integrate, and easy-to-support. MCC DAQ HATs are designed for the popular Raspberry Pi platform. These Raspberry Pi products provide features like analog and digital I/O in a small, stackable format. All MCC HATs include C/C++® and Python™ examples and an open-source library.
There are five devices in the MCC DAQ HAT Series. These Pi products are available with voltage inputs, thermocouple inputs, IEPE-based sensor inputs, analog outputs, and digital I/O allowing users to configure multifunction, Raspberry Pi-based data logger solutions.
If you're looking for a reliable and versatile data acquisition solution for your Raspberry Pi, MCC's line of DAQ HATs for Raspberry Pi are an excellent choice. Designed specifically to work with the Raspberry Pi, these Raspberry Pi DAQ HATs provide a seamless plug-and-play solution for a wide range of DAQ and data logging with Raspberry Pi applications.
We offer a variety of Raspberry Pi DAQ HATs to suit different needs and budgets. Each HAT is designed with our expertise in DAQ and measurement technology, providing reliable and accurate data acquisition for a wide range of applications. From Raspberry Pi data loggers to Raspberry Pi analog input HATs, Raspberry Pi logging, data acquisition, and Raspberry Pi data collection has never been easier.
Some of our more popular Raspberry Pi HATs are the MCC 118 and MCC 128 voltage measurement devices. The MCC 118 features 12-bit resolution and 8 SE analog inputs with a +/-10V input range, while the MCC 128 features 16-bit resolution and 8 SE/ 4 DIFF analog inputs with the following input ranges (+/-10 V, +/-5 V, +/-2 V, +/-1 V).
Each HAT offers different features and specifications to suit different applications, but all of them are built to the same high standards of quality and reliability. No matter which Raspberry Pi DAQ system you choose, you can be sure that it will provide reliable and accurate data acquisition for your applications.
