Augmented reality with Glass and the ability for the device to interpret one’s surroundings is an exciting thought. MedRef for Glass was written for a medical hackathon and is Glassware primarily used for documenting notes and photos of medical patients. But that’s not all it does: MedRef for Glass also includes the very first facial recognition hack for Google Glass. Check out the video below for a full walk through of the app and its facial recognition abilities.
MedRef for Glass is definitely not feature-packed, but that’s understandable considering it was created in a short amount of time for a hackathon. Primarily, the app adds cards to your Google Glass timeline for medical reference capabilities. This includes the ability to manage patients and store various records. These “notes” are currently limited to text (such as “allergic to peanuts”) and photos of the patients.
Some people I talked to said hospitals are full of very busy people, often with their hands full, working with a lot of information – so Google Glass making it wearable is especially looked forward to there!
Much more impressive–considering the presumably limited time Nanek had to build his entry–is the app’s facial recognition abilities. He shows in the video above that he had two patients stored in the app with various notes. Both patients had photos documented as part of these “notes,” and all of these photos are given a “face ID.” The app can take a photo to be sent to a facial recognition web service to be matched with other photos already documented.
If you’re lucky enough to have your hands on Google Glass, you can try the app right now. To do so, head over to the MedRef for Glass AppSpot website and give the app access to your Google account. Shortly after, you should see a new card on your timeline entitled “MedRef.” All of the basic functions of the app including the ability to “Set Patient” can be found by tapping this card. If you’re interested in the source code for this project, you can head over to GitHub.
Nanek is a computer programmer and Glass Explorer who has been actively developing various Glassware prototypes. Not only did he create VoiceBuyer for Amazon (you can find it in our Glassware list), but he also managed to generate a list of all of the device’s sensors.
Source: NeatoCode Techniques