Home/Image Recognition Software/Amazon Rekognition vs Azure Video IndexerUpdated on: April 19, 2024

Compare Amazon Rekognition vs Azure Video Indexer

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Overview

Summary

Amazon Rekognition is a cloud-based image recognition platform, offering computer vision technology that provides software as a service. It allows you to easily integrate picture and video analysis into your apps using proven, highly scalable deep learning technology that doesn't require any machine learning experience. With Amazon Rekognition, users can easily recognize objects, people, text, settings, and actions, as well as to detect any improper information in photos and videos. You can also use a model to categorize specific machine parts on your manufacturing line or to detect sick plants. All you have to do is provide photos of the items or situations you wish to identify, and the platform will take care of the rest. It additionally assists the user in distinguishing possibly risky or unseemly content across both picture and video resources and permits you to precisely control what you need to permit depending on your necessities. The software offers a free trial that allows you to analyze 5,000 pictures each month and save 1,000 pieces of face metadata per month. ..show more

Azure Video Indexer is a comprehensive video analytics service that enables companies and developers to extract insights from videos, whether it is streaming or stored. The particular service allows users to capture and orchestrate analytics and get useful data in real-time. With these capabilities, companies can quickly process their own video libraries and improve content discoverability and customer engagement, accordingly. Azure Video Indexer includes AI models that help companies to extract meaningful and accurate data for their use-cases. They can even use spatial analysis to understand people’s movements in physical spaces in real-time. Azure Video Indexer enables users to customise video workflows to their specific needs using a pipeline description language. In addition, data science teams can also operate with their own custom models to generate the analytics. Popular use cases of Azure Video Indexer go as workplace safety, process optimisation and digital asset management. ..show more

Features

Auto-tagging (Image) Helps to quickly analyze images and automatically tag scenes, objects, faces, and others

Celebrity Recognition Helps to recognize popular, noteworthy, and prominent individuals

Custom Classification Helps to create and train custom image classifiers with your own image collections.

Explicit Content Detection Enables to detect explicit and unsafe scenes or elements

Face Comparision Helps you measure the likelihood of two faces are of the same person

Facial Analysis Detect faces and find facial attributes

Facial Recognition Helps to find faces with similar facial features from a large collection of an image database

Image Classification Classify images using pre-defined labels in the library

Object Detection Helps to detect objects like plants, furniture, vehicles, and more within an image

PPE Detection Helps to detect if a person is wearing masks, face covers, hand covers, and other protective equipment

Popular Place Recognition Helps to detect popular iconic places and monuments

Product Search Helps to search product information that includes price, brand, description, and more on the web

Scene Detection Helps to detect scenes like landscapes, sunset, and more within an image

Text in Image Automatically identifies the text and language using OCR

TECHNICAL DETAILS

Access Monitoring

24/7 (Live rep)

Business Hours

Online

Contact Number/Address

N/A

000-800-440-2008

API

Deployment

SaaS/Web/Cloud

Mobile - Android

Mobile - iOS

Installed - Windows

Installed - Mac

Customers

Individuals

Freelancers

Large Enterprises

Medium Business

Small Business

Pricing

Pricing Model

Free Trial

Freemium

One-time license

Open-source

Subscription

Quotation Based

Plans

Free Tier
Free

The Free Tier lasts 12 months and allows you to analyze 5,000 images per month and store 1,000 pieces of face metadata per month

First 1 million images processed* per month: $0.001 per image ($1.00 price per 1,000 images)

Next 9 million images processed* per month: $0.0008 per image$0.80 ($1.00 price per 1,000

Next 90 million images processed* per month$: 0.0006 per image$0.60 ($1.00 price per 1,000

Over 100 million images processed* per month: $0.0004 per image$0.40 ($1.00 price per 1,000

Amazon Rekognition Video Pricing
$0.1 Others

Features

  • Stored Video Analysis
    • Label Detection: $0.10/min
    • Content Moderation: $0.10/min
    • Text Detection: $0.10/min
    • Face Detection: $0.10/min
    • Celebrity Recognition: $0.10/min
    • Face Search: $0.10/min
    • Person Pathing: $0.10/min
  • Media Analysis

    • Shot Detection: $0.05/min
    • Black Frames, End Credits, Color Bars (‘Technical Cues’) Detection: $0.05/min
  • Live Stream Video Analysis
    • Face Search: $0.12/min
    • Face Metadata Storage: $0.00001/face metadata per month
View Price Page
Video Indexer
Others

Features

  • Encoding
  • Streaming
  • Storage
  • Network egress
  • Media Reserved Units
View Price Page

SCREENSHOTS

Amazon Rekognition Screenshots
View 3 screenshot(s)
Azure Video Indexer Screenshots
View 1 screenshot(s)

ALTERNATIVES

Top alternatives to Amazon Rekognition

Amazon Comprehend
Amazon Comprehend
Amazon SageMaker
Amazon SageMaker
Microsoft Azure
Microsoft Azure
Clarifai
Clarifai
Roboflow
Roboflow

Top alternatives to Azure Video Indexer

Microsoft Azure
Microsoft Azure
Clarifai
Clarifai
Roboflow
Roboflow
Amazon Rekognition
Amazon Rekognition
OpenCV
OpenCV