DeepLens - deep learning enabled video camera
Integrated Components/Technologies
- Lex - conversational interfaces using voice and text
- SageMaker - build, train, and deploy
- Polly - text to speech
- Rekognition - video analysis service
- Kinesis - collect, process, and analyze real-time, streaming data
- Lambda - run code without managing servers
- AWS IoT Services Overview
- Internet of Things (IoT) Core - process and route those messages to AWS endpoints
- AWS IoT Button
- Greengrass - connected devices can run AWS Lambda functions, keep device data in sync
- Intel® Compute Library for Deep Neural Networks (clDNN) & OpenVINO - deep learning primitives for computer vision
- Simple Queue Service (SQS) - message queuing
- Simple Notification Service (SNS) - pub/sub messaging and mobile notifications
- DynamoDB - NoSQL database
- Simple Storage Service (S3) - object storage
- Management Console - manage web services
- Deep Learning (DL) Amazon Machine Image (AMI) - DLAMI
- SoftAP - software enabled access point
- Ubuntu - operating system
Libraries & Frameworks
Processor
The CPU is a dual-core Atom E3930. DeepLens comes with an Intel HD Graphics 500 chip; so a graphics processing unit (GPU) is included too. This chip has 12 “execution units” capable of running 7 threads each [single instruction, multiple data (SIMD) architecture]. 84 “cores” - over 100 GFLOPS of compute power on the device, it can process deep learning predictions on HD video for real time. The camera runs on the free, open-source operating system Ubuntu and is equipped with 8GB of RAM, 32GB of storage, microphones, a micro HDMI port, two USB ports, a speaker, headphone jack, a 4-megapixel (1080p video) camera.
