MindMeld Android SDK site shows interface summary with respective interfaces and descriptions along with class summary with corresponding classes and descriptions. The majority of API calls and requests can be made from the MMApp class. Specific functionality is contained in the other model classes. Developers can find guides, parameters, and sample codes in the site. The YouTube video, "Getting Started With the MindMeld Android SDK" displays instructions to install the kit.
Recent technology backed by machine learning is making it possible to recognize people and objects from images, videos, sounds, body parts, speech, phrases, characters, even typing. Developers can find over two-hundred APIs for Recognition on ProgrammableWeb. Here are some top choices.
We all know we can search web pages for text, but many services are looking to go above and beyond with features like location and face tagging. The big downside to these features is that they rely on end users have to manually enter in the appropriate data. Really, when was the last time you tagged all the people in the 200 photos you just uploaded to Facebook? To help automate the process of face recognition, face.com have just opened their API.
Originally incubated within mobile VoIP giant Rebtel as a developer API, Sinch today announced the launch of its communications platform enabling iOS and Android developers to add a layer of voice and messaging to their apps.