Difference between revisions of "DeepLens - deep learning enabled video camera"

Revision as of 16:33, 25 June 2018

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
- MQTT - A lightweight messaging protocol
- 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

4 megapixel resolution (1080p video)
8GB of RAM
16GB of internal storage
A 32GB SD card
Wi-Fi connectivity
A micro HDMI port
1/8" audio port
2 USB ports
5v power supply
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. Processor Technical Specifications

@@ Line 17: / Line 17: @@
 * [https://aws.amazon.com/iot/ AWS IoT] Services Overview
 ** [[Internet of Things (IoT) Core]] - process and route those messages to AWS endpoints
+** [[MQTT]] - A lightweight messaging protocol
 **[[AWS IoT Button]]
 * [[Greengrass]] - connected devices can run AWS Lambda functions, keep device data in sync