AWS DeepLense

Paid

Deploy computer vision apps on edge, build/train models, create custom models with optimized deep learning frameworks.

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Inputs: image, videoOutputs: image, text, video

Type

Saas

Company

Amazon Web Services

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About AWS DeepLense

AWS DeepLense is an AI-powered deep learning service that enables developers to easily create and deploy sophisticated computer vision applications on the edge. With DeepLense, developers can easily create and manage their own applications with the help of an intuitive user interface and powerful tools. DeepLense allows developers to quickly build, train, and deploy sophisticated computer vision models and applications on the edge.AWS DeepLense provides developers with access to powerful deep learning algorithms and pre-trained models. With an easy-to-use graphical user interface, developers can quickly prototype and deploy their applications without having to code. DeepLense also offers developers the ability to create custom models with its optimised deep learning frameworks. This makes it easy for developers to quickly build, train, and deploy sophisticated computer vision applications.DeepLense also offers a range of powerful tools for developers to refine their applications.

Key Features

Create and deploy computer vision applications on the edge. 2. Quickly build, train, and deploy computer vision models and applications. 3. Create custom models with optimised deep learning frameworks.

Pros & Cons

Pros

Easy onboarding with hardware and pre-built projects

Seamless AWS ecosystem integration for scalable workflows

Low-latency edge inference without cloud dependency

No-code options via graphical interface for rapid prototyping

Supports both pre-trained and custom models

Privacy-focused by processing data on-device

Cons

Hardware-dependent, requiring purchase of physical device
Limited to computer vision tasks only
Requires AWS account and familiarity with AWS services
Potentially higher upfront cost compared to pure software solutions
Discontinued support announced by AWS (end of new sales)

Best For

Create and deploy computer vision applications on the edge. 2. Quickly build, train, and deploy computer vision models and applications. 3. Create custom models with optimised deep learning frameworks.

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FAQ

What hardware does AWS DeepLens include?

It features a 1080p HD camera, infrared sensors for low-light vision, multiple microphones, Wi-Fi connectivity, and onboard Intel Atom processor for edge computing.

Can I train custom models with DeepLens?

Yes, use AWS SageMaker to train custom models in the cloud, then deploy them to the DeepLens device using optimized frameworks.

Is coding required to use DeepLens?

No, the web console allows prototyping and deployment without coding, though advanced customization uses Python SDK.

How does DeepLens handle model deployment?

Models are deployed to the edge via AWS IoT Greengrass, supporting over-the-air updates and real-time inference.

Is AWS DeepLens still available for purchase?

New hardware sales have ended, but existing devices are supported; contact AWS for alternatives.

What AWS services integrate with DeepLens?

Key integrations include SageMaker for training, Rekognition for vision APIs, Kinesis for video streams, and Lambda for serverless functions.