AWS DeepLens – fully programmable video camera that allows –
- Developers to get started with deep learning through sample projects with practical, hands-on examples which can start running with a single click.
- Models trained in Amazon SageMaker can be sent to AWS DeepLens with just a few clicks from the AWS Management Console.
- AWS developers can run any deep-learning framework, including TensorFlow and Caffe. AWS DeepLens comes preinstalled with a high performance, efficient and optimised inference engine for deep learning using Apache MXNet.
- AWS DeepLens integrates with Amazon Rekognition for advanced image analysis, Amazon SageMaker for training models and with Amazon Polly to create speech-enabled projects.
- AWS DeepLens is easy to customise and is fully programmable using AWS Lambda.
It allows basics of deep learning – a machine learning technique that uses neural networks to learn and make predictions – through computer vision projects, tutorials, and real world, hands-on exploration with a physical device. AWS DeepLens lets you run deep learning models locally on the camera to analyze and take action on what it sees.
AWS DeepLens allows developers of all skill levels to get started with deep learning in less than 10 minutes by providing sample projects with practical, hands-on examples which can start running with a single click.
Models trained in Amazon SageMaker can be sent to AWS DeepLens with just a few clicks from the AWS Management Console.
Integrated with AWSAWS DeepLens integrates with Amazon Rekognition for advanced image analysis, Amazon SageMaker for training models, and with Amazon Polly to create speech-enabled projects. The device also connects securely to AWS IoT, Amazon SQS, Amazon SNS, Amazon S3, Amazon DynamoDB, and more.
Fully programmableAWS DeepLens is easy to customize and is fully programmable using AWS Lambda. The deep learning models in DeepLens even run as part of an AWS Lambda function, providing a familiar programming environment to experiment with.
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