The world’s first deep learning enabled video camera for developers
AWS DeepLens helps put deep learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.
- A new way to learn machine learning
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.
- Custom built for deep learning
AWS DeepLens was designed with deep learning in mind. With over 100 GFLOPS of compute power on the device, it can process deep learning predictions on HD video for real time.
- Build custom models with Amazon SageMaker
Models trained in Amazon SageMaker can be sent to AWS DeepLens with just a few clicks from the AWS Management Console.
- Broad framework support
AWS developers can run any deep learning framework, including TensorFlow and Caffe. AWS DeepLens comes pre-installed with a high performance, efficient, optimized inference engine for deep learning using Apache MXNet.
- Integrated with AWS
AWS 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 programmable
AWS 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.
What can you build with AWS DeepLens?
Get started by using the DeepLens sample projects shown below, which cover some of the most popular computer vision use cases. As your skills and ideas develop, you can build custom deep learning models in the cloud using Amazon SageMaker. Check out the collection of projects created by the developer community for inspiration.
- OBJECT DETECTION
- ACTIVITY RECOGNITION
- FACE DETECTION
- HEAD POSE DETECTION
- CPU: Intel Atom® Processor
- MEMORY: 8GB RAM
- OS: Ubuntu OS-16.04 LTS
- BUILT-IN STORAGE: 16GB Memory (expandable)
- GRAPHICS: Intel Gen9 Graphics Engine