Under the name of Project Oxford, Microsoft has made available a set of RESTful APIs that aim to make it possible for developers to build apps that feature face recognition, speech processing, and other machine learning algorithms.
Microsoft developers have also used Windows 10 IoT Core to build stuff like facial-recognition door locks that only open if it recognizes you, a robot programming kit, and an app to control a handheld fan. The facial recognition technology is powered by Project Oxford.
TwinsOrNot.net is the latest machine learning-powered game built using the Project Oxford platform – it incorporates facial recognition technology to determine how much you look like a sibling, your friend, or your favorite celebrity! Check it out at TwinsOrNot.net or on Windows Phone store.
Under the name of Project Oxford, Microsoft has made available a set of RESTful APIs that aim to make it possible for developers to build apps that feature face recognition, speech processing, and other machine learning algorithms.
The contest, aiming at strengthening Microsoft brand in Asia Pacific region, strives to encourage young talent to discover more about programming, so as to use it to solve practical problems.
The winning team of the Apps World North America Hackathon used Project Oxford to win a Surface Pro 3 by using face recognition in SONY glasses.
Use Face, Speech, and Computer Vision API or Language Understanding Intelligent Service to make your apps smarter. For more information, check out the //Build sessions below.
