As an AWS partner, we leverage several AWS services, such as KVS and Amazon FreeRTOS, to connect MCU devices to the cloud. We are leveraging AWS services such as Rekognition and SageMaker to quickly build AI applications, while enabling easy to deploy and secure device interactions with cloud applications through AWS IoT Core.

We leverage a number of key services on the AWS platform to build efficient cloud storage and rich media services. We set up a streaming media processing cluster at the front end of Amazon S3 for transcoding, slicing and other processing of raw data uploaded from IPC devices. This processed data is ultimately stored in Amazon S3. After receiving push notifications, users can easily play back videos and pictures, and can easily download video files. In particular, after the launch of Amazon Kinesis Video Streams (KVS), we delegated complex tasks such as video transcoding and slicing to KVS. This not only reduces the burden of development and maintenance, but also reduces the cost of streaming service clusters.

We introduced Amazon Rekognition, which brings a new intelligent recognition product experience to users. Rekognition is capable of recognizing a variety of objects, and we picked out a few that are common in the consumer market, including face, human, vehicle, pet, and package.

We've also integrated Alexa Voice Service, making it easy for connected devices to quickly support Amazon Alexa.