Amazon Rekognition Integrates ML To Automate Image & Video Analysis

Identify objects and images from scenes with Amazon Rekognition using deep learning technology.

Image recognition isn't a new concept but Amazon Rekognition is leveraging the most out of this technology. AWS Rekognition is enabling easy integration of image and video analysis in many applications using deep learning technology. This software allows the identification of objects, people, inappropriate content, scenes, and activities in images and videos. If you're considering getting a user verification system, Amazon Rekognition also has highly accurate facial analysis and facial search capabilities which can detect, analyze, and compare faces for public safety.

Image analysis holds a lot of potential. Many social media sites, every smartphone and tablet, and even digital cameras these days use this technology. A common use case for this is photo filters that can detect whether a person is smiling or not.

Amazon Rekognition For Businesses

With Amazon Rekognition Custom Labels, you can tag the objects in images or stills from videos that are specific to your business. For example, if there is an image of a machine that's a part of your assembly line, you can tag specific parts of the machine that are useful for your business. You don't have to work too hard to build such a labeling model for your business, Amazon Rekognition Custom Labels will handle the model development on its own, which means machine learning experts are not needed to manage this. All you have to do is input images of objects you want to identify and AWS image recognition handles the rest.

Customizing Labels

Not just images, Amazon Rekognition can help businesses identify the activities they associate with themselves. During video analysis, you can identify actions like "delivering an order" or "drinking water". Amazon's system extends its capabilities by enabling the extraction of information that can be beneficial for a business's end processes. For example, if you are an FMCG company, you can identify your products on a store's aisle.

Content Detection

If you run an image and video-powered business like an OTT platform, content moderation might be one of your major concerns. Opting for Amazon Rekognition will let you detect inappropriate content across photos and videos and show you detailed labels which will allow you to control what you want to show. Apart from this, Amazon Rekognition can read distorted texts to find information like store names, forced narratives, street signs, product packaging, etc.

AWS Face Recognition

Leveraging all the capabilities of facial recognition, Amazon Rekognition can detect faces when they appear in images and videos to show attributes like gender, age, facial hair, accessories, etc. It allows accurate face search to identify people in images or videos using your private image repository.

Developing models for all these features is a tedious process that needs expertise and resources. Additionally, it needs many hand-labeled images to provide the model with enough data to accurately detect objects. Amazon Rekognition is trained on millions of images across categories to facilitate its features. With use cases like media analysis, making searchable content, flagging inappropriate content, enabling digital identity verification, identification of products, landmarks, and brands, businesses can leverage their operations using these systems to scale their profits and provide improved customer experience.