Amazon Rekognition vs CameraTag

Overview

CameraTag

Stacks6

Followers13

Votes0

Amazon Rekognition

Stacks79

Followers152

Votes4

Amazon Rekognition vs CameraTag: What are the differences?

What is Amazon Rekognition? Image Detection and Recognition Powered by Deep Learning. 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.

What is CameraTag? *Collect videos from your users with one line of code *. With one line of code you can easily start collecting videos for applications ranging from video-comments to talent competitions, political action, virtual interviews, talent scouting and more.
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Amazon Rekognition belongs to "Image Analysis API" category of the tech stack, while CameraTag can be primarily classified under "File Uploads".

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CLI (Node.js)

Manual

Advice on CameraTag, Amazon Rekognition

Vladyslav

Sr. Directory of Technology at Shelf

Oct 25, 2019

Decided

AWS Rekognition has an OCR feature but can recognize only up to 50 words per image, which is a deal-breaker for us. (see my tweet).

Also, we discovered fantastic speed and quality improvements in the 4.x versions of Tesseract. Meanwhile, the quality of AWS Rekognition's OCR remains to be mediocre in comparison.

We run Tesseract serverlessly in AWS Lambda via aws-lambda-tesseract library that we made open-source.

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Detailed Comparison

CameraTag	Amazon Rekognition
With one line of code you can easily start collecting videos for applications ranging from video-comments to talent competitions, political action, virtual interviews, talent scouting and more.<br>	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.
HD Webcam Recording;Desktop Uploads;Record By Phone;Record On-The-Go (via mobile web browser);100% Customizable Interface;99.99% SLA;REST API;JS API<br>	-
Statistics
Stacks 6	Stacks 79
Followers 13	Followers 152
Votes 0	Votes 4
Pros & Cons
No community feedback yet	Pros 4 Integrate easily with AWS Cons 1 AWS
Integrations
Heroku	No integrations available

What are some alternatives to CameraTag, Amazon Rekognition?

Uploadcare

Uploadcare is file management platform and a CDN for user-generated content. It is a robust file API for uploading, managing, processing, rendering, optimizing, and delivering users’ content.

Transloadit

Transloadit handles file uploading & file processing for your websites and mobile apps. We can process video, audio, images and documents.

Bytescale

Bytescale is the best way to serve images, videos, and audio for web apps. Includes: Fast CDN, Storage, and Media Processing APIs.

Google Cloud Vision API

Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API.

Tesseract OCR

Tesseract was originally developed at Hewlett-Packard Laboratories Bristol and at Hewlett-Packard Co, Greeley Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. Since 2006 it is developed by Google.

Uppy

Uppy is a sleek modular file uploader for web browsers. Add it to your app with one line of code, or build a custom version with just the plugins you need via Webpack/Browserify. 100% open source, backed by a company (Transloadit).

Filestack

Filepicker helps developers connect to their users' content. Connect, Store, and Process any file from anywhere on the Internet.

CarrierWave

This gem provides a simple and extremely flexible way to upload files from Ruby applications. It works well with Rack based web applications, such as Ruby on Rails.

Tesseract.js

This library supports over 60 languages, automatic text orientation and script detection, a simple interface for reading paragraph, word, and character bounding boxes. Tesseract.js can run either in a browser and on a server with NodeJS.