The Google Face Detection Java Sample Code by Google Vision demonstrates how to integrate face recognition into web services and mobile applications. Classes include colors, entities, location, safe search, and vision.
MachineShop plans to deliver a service that normalizes all the data being collected across the Internet of Things (IoT). The MachineShop service, formally launched today with $3 million in funding, normalizes data formats across a wide range of APIs. It connects devices in a way that provides access to a common set of business logic, event management and communications services that MachineShop manages.
Cloud APIs are all about the endpoints: some services follow the current trend of providing a RESTful end point, others use older protocols such as RPC or SOAP, some use newer - push focused - endpoints like WebSockets or HTTP Streaming, others may offer a number of different endpoints to meet different requirements and some just use what seems to be best for a specific job which might mean not strictly following protocol rules. But is providing an endpoint to a service alone good enough? Should a developer really have to care about how a service is built or accessed when they can use a client library?