Need help? Talk to a specialist 1-800-956-4437
Request Demo Request Info/Price

Data acquisition (DAQ) is the process of measuring an electrical or physical phenomenon such as voltage, current, temperature, pressure, or sound with a computer. A DAQ system consists of sensors, DAQ measurement hardware, and a computer with programmable software.

CAS DataLoggers offers innovative data acquisition (DAQ) systems from Jager/ADwin, Delphin Technology, Grant Instruments and more. These systems feature flexible programming and communications capabilities, and we can also supply portable systems powered by battery or external power supply.

Flexible Programming and Communications Capabilities

Jager’s sophisticated ADwin DAQ systems¬†support parallel, individually-controlled, real-time processes while running independently of a PC’s operating system to provide deterministic operation with response times of 1 usec. or less.

Delphin Technology’s high-powered data acquisition devices measure temperature, pressure, flow, voltage and vibration in a wide variety of research, testing and process control applications. These high-speed systems feature different analog and digital input and output modules that can be used with a wide range of signal types including 4-20 mA current, thermocouples, RTDs, and resistance.

dataTaker Universal Input, Intelligent data logging/data acquisition systems provide an incredible amount of functionality in a compact, stand-alone system. They provide signal conditioning for virtually any type of sensor, digital inputs and outputs, high-speed counters, flexible RS-232/422/485 serial interface for connection to other devices and sensors.

Grant Instruments Squirrel data loggers are famous for their ruggedness and reliability. The Squirrel 2020/2040 loggers feature 24-bit ADCs for precise measurements. These data loggers feature a built-in display and keypad allowing them to be used in applications where portability and stand-alone operation are required.

Not sure what you need?

Download our guide on "Choosing the Right Data Logger for Your Application".