The video says it all, but blogger Judith B. Herman’s says it all when she says your phone can translate signs. Word Lens is an augmented reality app that translates text within the view of a device’s camera. It does so without requiring phone/data reception, too, making it perfect for travelers.
As you can see in the video, the app is fast and the view is clear. And according to PC Mag, it works as shown in the clip except when translating long paragraphs or fast-moving text.
Word Lens is available for free, but translation packs are a premium feature. To see the app for the iPhone or iPod Touch, start here.
- Google Maps’ Street View feature as well as image services with geotagging have made the foundations for a database of images that systems can match against what they see.
- No satellites to search for means constant access to accurate location.
- This technology does not necessarily require new hardware. An iPhone app may be the most practical proving ground for a developer.
- By crowdsourcing maps, current pictures taken by the navigation devices can allow easy updates and natural growth for a system. If a device is in an area with pictures that don’t quite match the indexed ones in the database, then the user can upload his/her device’s pictures to replace the database’s old ones.
- In a similar vein, road map updates (and weather and traffic updates) are made easier and faster. Pictures from devices confirming that there is road construction, for example, signal that there is an issue with with the current map. “Seeing” snow and a large number of cars is an organic way to confirm the driving conditions, which are snowy and congested in this case.
- Reporting aggressive drivers may be done more accurately, and possibly even automatically.
- Counting the number of users who pass a billboard may be useful to the advertising industry’s media and metrics sectors. Collaboration with marketers may open up new possibilities.
- I’m guessing that it would take a lot of processing power to figure out exactly where a device is, especially at night. This technology is likely a long ways off into the future. It would likely start with an in-the-cloud approach at first, followed later by computations being performed on the devices themselves.
- Until pictures from all over the world can be stored on one device and updated at short intervals, this system could run into the same connection issues as GPS. Those pictures have to be stored on a server, then uploaded and processed live by the navigating hardware. The result then needs to be sent to the device. If there is ever no connection between the navigation hardware and the server, then the device is crippled. On the other hand, it may be possible to make up for this at times with a built-in GPS.
- Landscapes are constantly changing, so each location in the database needs to have pictures for various weather conditions. Additionally, updates must be made more frequently during times of construction in an area.
- There may be a few glitches if different places have similar features.
- Like with the last one, a picture dilemma may exist with long stretches of highway. On the plus side, a built-in memory may be useful. If it can remember that it most recently passed mile marker 52.9 on highway X, the navigator can be relatively precise in its location-finding.
- If the system operates with still pictures taken at intervals (as opposed to a constant video), the built-in camera must have a high shutter speed. Otherwise, blurring will occur in images taken when the vehicle is travelling quickly.
I just thought I’d share a funny post about what happens in some cases with GPS. Bad things happen.