Posted by Dave Smith, Developer Advocate for IoT
Deeplocal is a Pittsburgh-based innovation studio that makes inventions as marketing to help the world’s most loved brands tell their stories. The team at Deeplocal built several fun and engaging robotics projects using Android Things. Leveraging the developer ecosystem surrounding the Android platform and the compute power of Android Things hardware, they were able to quickly and easily create robots powered by computer vision and machine learning.
DrawBot is a DIY drawing robot that transforms your selfies into physical works of art.
“The Android Things platform helped us move quickly from an idea, to prototype, to final product. Switching from phone apps to embedded code was easy in Android Studio, and we were able to pull in OpenCV modules, motor drivers, and other libraries as needed. The final version of our prototype was created two weeks after unboxing our first Android Things developer kit.”
– Brian Bourgeois, Producer, Deeplocal
Want to build your own DrawBot? See the Hackster.io project for all the source code, schematics, and 3D models.
A robotic hand that learns and reacts to hand gestures, HandBot visually recognizes gestures and applies machine learning.
“The Android Things platform made integration work for Handbot a breeze. Using TensorFlow, we were able to train a neural network to recognize hand gestures. Once this was created, we were able to use Android Things drivers to implement games in easy-to-read Android code. In a matter of weeks, we went from a fresh developer kit to competing against a robot hand in Rock, Paper, Scissors.”
– Mike Derrick, Software Engineer, Deeplocal
Want to build your own HandBot? See the Hackster.io project for all the source code, schematics, and 3D models.
Visit the Google Hackster community to explore more inspiring ideas just like these, and join Google’s IoT Developers Community on Google+ to get the latest platform updates, ask questions, and discuss ideas.
Source: IoT Developer Story: Deeplocal