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AWS DeepLens Deep Learning Wireless Video Camera

AWS DeepLens Deep Learning Wireless Video Camera

29,999.0044,999.00 (Inc. All Taxes And With GST Input Credit)

  • AWS DeepLens 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.

Start learning right away

Learn the 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.

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.

Sample Projects

You can build custom deep learning models in the cloud using Amazon SageMaker, or use the collection of pre-trained models included with AWS DeepLens.

Object detection template

OBJECT DETECTION

Accurately detect and recognize objects.

Hot dog not hot dog template

HOT DOG NOT HOT DOG

Classify your food as either hot dog or not a hot dog.

Cat and dog template

CAT AND DOG

Detect a cat or dog using your DeepLens.

Bird Classification

BIRD CLASSIFICATION

Detect more than 200 species of birds.

Activity recognition template

ACTIVITY RECOGNITION

Recognize more than 30 kinds of actions such as brushing teeth, applying lipstick, and playing guitar.

Face detection template

FACE DETECTION

Detect faces of people.

Technical Details
Ver. Year

2017, 2019

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