Stacey Kruczek's blog
Learn about Voice Input for DataWedge in our next DEVTALK.
Voice Input enables DataWedge to convert spoken entries into keystrokes as if they were typed or acquired from a scan and uses the Google speech recognition engine included on GMS devices.
This introduction to Machine Learning will walk through the basics of Machine Learning and how it is being applied in Enterprise use cases today. We will dive into a sample application built for image recognition using TensorFlow to show how to get started in this hot new space.
We are excited to launch our new DEVBITES YouTube series: Nibbles of Tech Tips. This month we are covering topics related to our EMDK or Enterprise Mobility Development Kit. You can find sample projects referenced in these videos on GitHub.
Zebra DEVBITES: EMDK – Including EMDK Inside Your Projects
This webinar is an F# introduction for Java / C# Programmers that develops for Zebra devices. We will cover the practical advantages of F#, status of F# support in Xamarin and will walk-through a couple of Xamarin Forms and Xamarin.Android sample apps featuring DataWedge API and Xamarin EMDK integration. We will finally demonstrate a Weblink endpoint completely written in F# for Zebra printers.
Introducing DEVBITES, Nibbles of tech info and tech talk for developers.
In our first series learn about:
- 1. Title: Datawedge Keyboard Output
This video covers how to use one of DataWedge’s most used features : keyboard emulation. This will allow you to utilize your scanner in your Zebra Device with little to no overhead!