Overview
SnapTell offers the industry's leading and most scalable image recognition technology for camera phones. The technology is integrated into a complete hosted mobile marketing solution available now to brands, marketers, and content owners worldwide. SnapTell offers the same technology in targeted applications for platforms such as the iPhone and Android. SnapTell’s technology has been developed by our team of established industry experts with decades of collective experience in computer vision, search, and mobile applications.
Proprietary Technology
Image matching is the problem of efficiently matching a query image (such as a low quality camera phone image) against a database of images. SnapTell has created core patent pending proprietary technology for image matching that works with databases of millions of images. This highly accurate and robust algorithm for image matching is called "Accumulated Signed Gradient" (ASG).
Our technology works effectively on pictures taken with any camera phone in the world, including ones that have VGA cameras or relatively low resolution (320x240) cameras. Also, our robust matching engine can handle pictures taken in real life conditions that may have lighting artifacts, focus/motion blur, perspective distortion and partial coverage (see examples below). The technology works in a wide variety of real life scenarios including print advertisements, outdoor billboards, brand logos, product packaging, branded cans, bottles and wine labels.
Examples of Successful Matches
Show here are actual images that were sent in by users in a recent campaign that were matched 100% successfully by our image matching engine.
Unprecedented Scale
Besides high accuracy, our technology offers unprecedented scale in detecting a matching image in a large database of images. Scaling of image matching is achieved using patent pending indexing and search techniques to organize hundreds of millions of features in images for the purpose of efficient lookup against features in a query image. Our backend system also makes innovative use of distributed computing to achieve enormous scale.
Finally, a novel aspect of our technology is the ability to automatically extract text embedded in camera phone images with unprecedented accuracy. Text extraction is useful in scenarios in which the target image is not already registered in the database.