AWS DeepLens Cheat Sheet

• A deep learning-enabled camera for developers
• A wireless-enabled camera integrated with AWS Cloud
• Capable of delivering 100GFLOPS of computing power (1 billion operations per second)
• Contains sample projects at launch to get you started
• Optimized for Apache MXNet, TensorFlow, and Caffe
• Integrates with Amazon Rekognition for advanced image analysis

• AWS DeepLens has reached end-of-life. After January 31, 2024, the AWS DeepLens service (console access, projects, and APIs) was shut down. Devices can no longer be managed through the AWS console or the DeepLens APIs.

Common use cases

• Developing computer vision applications such as:
  • Face Detection
  • Activity Detection
  • Object Detection
  • Bird Classification 
  • Artistic Style Transfer

AWS DeepLens needs 3 AWS services to create a project:

• Amazon SageMaker 
  • Train/validate custom or pre-trained models 

• AWS Lambda
  • Preprocessing 
  • Capturing inference
  • Displaying output
• AWS IoT Greengrass
  • Deploys application project and Lambda runtime to AWS DeepLens 
  • Handles software and configuration updates

AWS DeepLens Device Library

• awscam module
• • • Runs inference code based on a project’s model.
• mo module
• • • Converts Caffe, Apache MXNet, or TensorFlow deep-learning model artifacts into AWS DeepLens model artifacts.
    • Provides optimizations for AWS DeepLens model artifacts.
• DeepLens_Kinesis_Video module
• • Can send video feeds from the AWS DeepLens device to Amazon Kinesis Video Streams.

Note: If you are studying for the AWS Certified Machine Learning Specialty exam, we highly recommend that you take our AWS Certified Machine Learning – Specialty Practice Exams and read our Machine Learning Specialty exam study guide.

AWS DeepLens Cheat Sheet References:

https://aws.amazon.com/deeplens/faqs/
https://docs.aws.amazon.com/deeplens/latest/dg/what-is-deeplens.html