Wednesday, 14 March 2018 10:04

AWS brings image recognition and analysis AI to APAC

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Global cloud host Amazon Web Services has now made available Amazon Rekognition to Asia Pacific, enabling Australian developers to easily add powerful image recognition and analysis functionality to their applications.

Rekognition is part of the AWS suite of artificial intelligence capabilities which are pre-trained, providing years and years of extensive research, deep-learning algorithms and machine learning models into simple API calls ready for developers to embrace and use.

Like its other AI services, Rekognition frees developers to focus on making apps that will see, hear, speak, understand and interact with the world around them, without having to invest in the mathematics or research or infrastructure that would otherwise have been needed; truly it is AI-as-a-service, bringing the benefits of Amazon's research to others.

“Since the launch of the AWS Sydney Region just over five years ago, AWS’s Australian and New Zealand customers have used AWS to remediate the costs and limitations of their legacy environments, to accelerate agility and innovation, and to support their digital transformation agendas,” said Paul Migliorini, Amazon Web Services managing director, Australia and New Zealand. 

“Australian customers have played a key role in the evolution of our services over the past five years, providing feedback to help us develop thousands of new features and service updates to meet their needs. These have included innovation in security, compute, analytics, serverless computing, and the Internet of Things. More recently, Australian customers are using AWS Machine Learning and Artificial Intelligence services to further accelerate innovation and competitive advantage, and the availability of Amazon Rekognition in the AWS Sydney Region will support this acceleration.”

A number of Australian AWS customers already use Amazon Rekognition, including Airtasker, Social Soup, and Domain. Sharyn Smith, founder and chief executive of Social Soup, said using Amazon Rekognition has helped Social Soup provide its clients with real time customer behaviour analysis, and match marketing campaigns to customers more efficiently. “The availability of Amazon Rekognition in the AWS Sydney Region will enhance Social Soup’s ability to deliver more sophisticated campaign marketing solutions to our customers faster, and at scale.” 

Rekognition is a result of more than 20 years of investment in artificial intelligence at Amazon. Using deep learning technologies, Amazon Rekognition can track people, detect activities, and recognize objects, faces, celebrities, and inappropriate content in millions of videos stored in Amazon S3. It also provides real-time facial recognition across millions of faces for live stream videos.

In addition, the service can locate faces within images and detect attributes, such as whether or not the face is smiling or the eyes are open. Using Rekognition’s easy to use API, developers can build an application that measures the likelihood that faces in two images are of the same person, thereby being able to verify a user against a reference photo in near real-time. Similarly, developers can create collections of millions of faces (detected in images) and can search for a face similar to their reference image in the collection. 

Amazon Rekognition ic claimed to help remove the complexity and overhead required to develop and manage expensive image processing pipelines by making comprehensive image classification, detection, and management capabilities available in a simple and cost-effective AWS service.

1Amazon Rekognition Service


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David M Williams

David has been computing since 1984 where he instantly gravitated to the family Commodore 64. He completed a Bachelor of Computer Science degree from 1990 to 1992, commencing full-time employment as a systems analyst at the end of that year. David subsequently worked as a UNIX Systems Manager, Asia-Pacific technical specialist for an international software company, Business Analyst, IT Manager, and other roles. David has been the Chief Information Officer for national public companies since 2007, delivering IT knowledge and business acumen, seeking to transform the industries within which he works. David is also involved in the user group community, the Australian Computer Society technical advisory boards, and education.

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