Mobile shopping represents today  30% of all US e-commerce sales, and with 60% of consumers using their smartphones while in a store, the opportunity to scale is impressive. Unlike more patient desktop users, mobile consumers seek fast answers   and minimum  clicks to get there. Using the built-in cameras and imageContinue 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

Native smartphone camera apps – those provided by Apple and hardware manufacturers on their respective phones – now do much more than enable basic camera functions. They include features such as HDR, burst, dual focus/exposure points, exposure compensation and panoramic image capture that were once the exclusive domain, and theContinue Reading

We built cities around transportation, rivers, cars, train but little did we think about the human aspect.  With 3.5 billion people living in urban areas today and expected to double by 2050, it is becoming imperative that we change. Startup Placemeter offers the ability to quantify and analyze what weContinue Reading

With billions of photos uploaded and shared daily on a variety of photo sharing sites,  monitoring copyright is a nightmare for both visual companies and content owners alike. On one side, photo sharing platforms cannot physically police every upload and on the other, content creators cannot spend their days policingContinue Reading

We all read the stories and we have all heard the rumors. Latest, and probably most infamous is Google’s mislabelling of an African-American couple as “gorilla”. Proudly installed within mainstream services like Flickr and Google photos, visual content recognition is quickly getting a bad rep thanks to a few very publicContinue Reading