Compare Azure Face API vs Azure Video Indexer

Summary

Azure Face API is an artificial intelligence service that lets you evaluate faces in pictures for the purpose of identification without any prior knowledge of machine learning. The platform integrates facial recognition, face detection, identification, and analysis in pictures and videos into your applications to provide a smooth and safe user experience. Azure Face API detects facial characteristics and qualities in a picture, such as a face mask, spectacles, or face location, and person identification through a match to your private repository or photo ID. You can use this technology to enable a variety of situations, such as introducing new users by confirming their identity, authenticating users for access control, or removing faces from pictures. With Azure Face API, you receive a confidence score based on the probability that two faces belong to the same individual. The platform provides enterprise-level security and privacy for your data as well as any trained models by ensuring that the pictures that you evaluate are not saved by the service. Additionally, Azure Face API can easily be integrated with a lot of other platforms. ..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

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

Top alternatives to Azure Face API

Clarifai

Roboflow

Amazon Rekognition

OpenCV

Luxand

Top alternatives to Azure Video Indexer

Microsoft Azure

Clarifai

Roboflow

Amazon Rekognition

OpenCV