The vOICe offers augmented reality and visual detail through sensory substitution and computer vision with the ultimate goal of providing synthetic vision. Options include the vOICe for Android and the vOICe web app.
- Talking color identifier - The color identifier speaks the color of whatever shows at the center of the camera view.
- Talking compass - The talking compass speaks the current heading. By default, it only speaks heading changes, but options for continuous heading feedback and for disabling the talking compass are available via the Options menu.
- Talking face detector - speaks the number of human faces detected in the live camera view. It can detect and announce up to dozens of faces in a single view. On the other hand, if only one face is detected then it will additionally say whether the face is located near the top, bottom, left, right, or center of the view, as well as speak when the face is within close-up range. The talking face detection feature can help with blind photography as well as with many other situations that need judging the presence of people.
- Talking GPS locator - The locator speaks nearby street names and intersections as determined from GPS (or the Russian ГЛОНАСС - Glonass) satellites or local cell towers, for increased location awareness. The talking locator makes use of the Google Maps API, and thus needs to share the user's location with Google in the same way that Google Maps or Google Navigation does. It is not shared with anyone else.
- CamFind visual search.
- Compatible with: Google Glass, Google Goggles, Google Cardboard devices.
- Requires Android 4.4 and up.
- The vOICe web app for the totally blind requires a browser with WebRTC support.
Options & Accessories:
- vOICe for Android. It supports English, Dutch, German, French, Spanish, Italian, Estonian, Hungarian, Polish, Slovak, Turkish, Russian, Chinese, Korean and Arabic (menu Options | Language).
- vOICe for Windows (discontinued).
- vOICe for All Else (Web-Based).
- vOICe for Raspberry Pi: a single computer card so an image to sound conversion (sensory substitution), object recognition of 1000 day-to-day objects, and a face detection/localization function can be built at home in under an hour; this link is to the site that gives the directions on how to do it.
- Similar to vOICe- using NVDA: this link is for a site that uses the vOICE ideas but with Audio Screen as an add-on for the NVDA Screen Reading software.