Why developers like Amazon Rekognition

What is Amazon Rekognition?

Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.

Amazon Rekognition is a tool in the Image Analysis API category of a tech stack.

Who uses Amazon Rekognition?

Companies

18 companies reportedly use Amazon Rekognition in their tech stacks, including Flitto, WebApp, and Armut.

Flitto

WebApp

Armut

DAZN.com

ALIS

Sitasys

WISEflow

Balnc Care

LiveBuzz

Developers

59 developers on StackShare have stated that they use Amazon Rekognition.

My Stack

TF9010

My Stack

Job Stack

My Stack

debitf

My Stack

awesome-transit

My Stack

Amazon Rekognition Integrations

Roboflow

Pros of Amazon Rekognition

Integrate easily with AWS

Decisions about Amazon Rekognition

Here are some stack decisions, common use cases and reviews by companies and developers who chose Amazon Rekognition in their tech stack.

Harsh Solanki

Machine Learning Engineer at Quantiphi · Sep 24, 2020 | 4 upvotes · 23.2K views

Needs advice

Amazon Kinesis Video Streams

Amazon Rekognition

and

api.video

We have to process the video stream to identify emotions. For which we need to use Amazon Rekognition/custom model on Amazon SageMaker. With Kinesis WebRTC Javascript SDK, currently, video can be streamed only into the kinesis signaling channel. Signaling channel data is available for streaming only and not processing (ML). So, how can we get real-time data for processing into Kinesis Streams from the frontend?

For streaming the video from frontend to backend into the Amazon Kinesis Video Streams for processing, we tested with Kinesis webRTC JavaScript SDK, and we are facing issues while implementing as mentioned above, so would Chime SDK serve as an alternative to this?

In Rekognition, "create-stream-processor" has a settings parameter. This currently only supports FaceSearch. We are looking to Detect and analyze faces. Is that possible with "create-stream-processor" in the Python SDK? Or do we have to use the Java SDK?

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Amazon Rekognition Alternatives & Comparisons

What are some alternatives to Amazon Rekognition?

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

OpenCV

OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

Git

Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.

GitHub

GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.

See all alternatives

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