AWS Machine Learning Blog

Category: Amazon Rekognition

Marinus Analytics fights human trafficking using Amazon Rekognition

Marinus Analytics is a woman-owned company, founded in 2014, that builds AI tools that turn big data into actionable intelligence. They are dedicated to using artificial intelligence, such as the facial recognition features available in Amazon Rekognition, to help find human trafficking victims and reunite them with their families. “We believe that artificial intelligence shouldn’t […]

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Amazon Rekognition is now available in the Asia Pacific (Seoul) and Asia Pacific (Mumbai) Regions

Amazon Rekognition is now available in the Asia Pacific (Seoul) and Asia Pacific (Mumbai) AWS Regions. Amazon Rekognition is a deep learning-based image and video analysis service that can identify objects, people, text, scenes, and activities, as well as detect any inappropriate content. With Amazon Rekognition, customers can easily integrate image and video analysis into […]

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Thorn collaborates with Amazon Rekognition to help fight child sexual abuse and trafficking

Thorn is a non-profit organization dedicated to stopping the spread of child sexual abuse material and standing up to child traffickers. Thorn’s tools have been used to identify 5,894 child sex trafficking victims and rescue 103 children where their sexual abuse was recorded and distributed. Using AWS services such as Amazon Rekognition, Thorn has seen […]

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Thoughts On Machine Learning Accuracy

This blog shares some brief thoughts on machine learning accuracy and bias. Let’s start with some comments about a recent ACLU blog in which they ran a facial recognition trial. Using Rekognition, the ACLU built a face database using 25,000 publicly available arrest photos and then performed facial similarity searches on that database using public […]

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Open Influence uses Amazon Rekognition to enhance its influencer marketing platform

Open Influence is an end-to-end influencer marketing platform that uses artificial intelligence to enable global brands and agencies to quickly and easily identify relevant influencers.  Influencer marketing has become a popular way for corporate brand marketers to work with influential leaders on social media to reach a specific audience. These influencers are critical in executing […]

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Some quick thoughts on the public discussion regarding facial recognition and Amazon Rekognition this past week

We have seen a lot of discussion this past week about the role of Amazon Rekognition in facial recognition, surveillance, and civil liberties, and we wanted to share some thoughts.

Amazon Rekognition is a service we announced in 2016. It makes use of new technologies – such as deep learning – and puts them in the hands of developers in an easy-to-use, low-cost way. Since then, we have seen customers use the image and video analysis capabilities of Amazon Rekognition in ways that materially benefit both society (e.g. preventing human trafficking, inhibiting child exploitation, reuniting missing children with their families, and building educational apps for children), and organizations (enhancing security through multi-factor authentication, finding images more easily, or preventing package theft). Amazon Web Services (AWS) is not the only provider of services like these, and we remain excited about how image and video analysis can be a driver for good in the world, including in the public sector and law enforcement.

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Amazon Rekognition Announces Real-Time Face Recognition, Support for Recognition of Text in Image, and Improved Face Detection

Amazon Rekognition today announces three new features: detection and recognition of text in images, real-time face recognition across tens of millions of faces, and detection of up to 100 faces in challenging crowded photos. Customers who are already using Amazon Rekognition for face verification and identification will experience up to a 10% accuracy improvement in most cases.

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Understand Movie Star Social Networks Using Amazon Rekognition and Graph Databases

Amazon Rekognition is an AWS service that makes it easy to add image analysis to your applications. The latest feature added to the API for this deep-learning-powered computer vision is Celebrity Recognition. This simple-to-use functionality detects and recognizes thousands of individuals who are famous, noteworthy, or prominent in their field. Users can harness the tool […]

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Capture and Analyze Customer Demographic Data Using Amazon Rekognition & Amazon Athena

Millions of customers shop in brick and mortar stores every day. Currently, most of these retailers have no efficient way to identify these shoppers and understand their purchasing behavior. They rely on third-party market research firms to provide customer demographic and purchase preference information.

This blog post walks you how you can use AWS services to identify purchasing behavior of your customers. We show you:

How retailers can use captured images in real time.
How Amazon Rekognition can be used to retrieve face attributes like age range, emotions, gender, etc.
How you can use Amazon Athena and Amazon QuickSight to analyze the face attributes.
How you can create unique insights and learn about customer emotions and demographics.
How to implement serverless architecture using AWS managed services.

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Build Your Own Face Recognition Service Using Amazon Rekognition

Amazon Rekognition is a service that makes it easy to add image analysis to your applications. It’s based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images daily for Amazon Prime Photos. Facial recognition enables you to find similar faces in a large collection […]

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