Python how-to: AndroiDAQ and Serial Communications

One thing that sets the AndroiDAQ module from other data acquisition products on the market is its use of the industry standard FTDI UART to USB conversion integrated circuit for USB serial communications. This allows the designer to use one easy to use USB driver for programming with the AndroiDAQ module in the various popular programming languages and on various operating system platforms, which at times can be a very taunting task with other commercially available data acquisition products. This also makes it easy to develop your application for the AndroiDAQ module in not only Android, Java, and LabVIEW, but for other popular programming languages like Python, which can also be used on multiple platforms. This article is going to present to you how to set up Python for serial communication, via the USB port, so that you can add Python to your list of tools for controlling and reading the AndroiDAQ module.

Using the AndroiDAQ oScope for LabVIEW®.

The AndroiDAQ oScope for LabVIEW is a new LabVIEW application VI that is now included in Controlled Capture Systems’ AndroiDAQ DEMO for LabVIEW library project. oScope allows you to acquire a user set number of analog to digital samples at user set time-based intervals, much like a digital oscilloscope. oScope uses LabVIEW’s Waveform graph to plot the received sample data from the AndroiDAQ module to give you a visual representation of the signal on channel zero of the AndroiDAQ ADC.

The Wonders of Analog to Digital Conversion

In the digital world, information is shared through software using multiple digital patterns of ones and zeros. These digital patterns can represent alphanumeric characters, mathematical operations, memory commands, or any other representative data that when decoded by software, corresponds to understandable information based on an agreed upon model of the digital patterns and data manipulation methods. This is all well and good for applications of math calculation, word processing, database entry, and other symbol based system uses, however, one can ask: how does one get real world physical data into a format of digital patterns that can be used by computers to measure, display, calculate upon, and manipulate the data?

Data Acquisition for the Internet of Things

Introducing AndroiDAQ: Data Acquisition for Android, LabVIEW and more.

This is a new paradigm in data acquisition for Android, JAVA, Python, and LabVIEW: AndroiDAQ, an eight-core parallel processing data acquisition system used for creating products for the Internet of Things.

AndroiDAQ Compatible with xBee Form Factor Radios