The 2015 year ends pretty much as it started. Some promises were delivered, some fell short. At least for now. With mobile continuing to dominate as the number one gateway to the online experience and visual being its strongest appeal, one would have thought that visual tech would have explodedContinue Reading

While big companies like Google, Yahoo, Microsoft, Facebook pour millions into visual content recognition in order to make sense of the billions of images uploaded to their services, smaller companies offer the same solutions to anyone interested in using deep learning to classify images and videos automatically. Straight out ofContinue Reading

scene detect by Qualcomm

With over a trillion photos created every year, one feature that could help people make sense of their massive photo collections could be object-recognition and automatic tagging. If your camera and photo management software can figure out what’s in your shots, it’ll make searching through old photos much easier andContinue Reading

When you introduce advanced visual technology within an already existing lucrative market, you have the potential to create an explosive reaction. That is exactly the model SportLogiq is using, introducing image analysis into the multi-million market of sports analytics. Estimated at $125 million in 2014, sports analytics is anticipated toContinue Reading

Image recognition, visual search and content classification  have been around for a while with various degree of success. With mobile shopping exploding, as well as myriads of photo/video based platforms, it is now  at the core of almost any online experience. While Google, Yahoo, Facebook and Microsoft throw millions inContinue Reading

The fundamental goal of visual tech should be reducing friction on how we interact with the world. Success will be measured on how easily we can pass from one function to the other with minimum active input. A few years ago, while working on the development of a Saas, the everlastingContinue Reading