End of support notice: On October 31, 2025, AWS will discontinue support for Amazon Rekognition People Pathing. After October 31, 2025, you will no longer be able to use the Rekognition People Pathing capability. For more information, see Exploring Alternatives to Rekognition People Pathing
Amazon Rekognition Video
Introduction
Amazon Rekognition Video is a fully managed machine learning (ML) service that supports both real time streaming video events and stored video analysis.
Amazon Rekognition streaming video events is a low cost, low latency service that can detect objects on video streams from connected cameras. Amazon Rekognition streaming video events returns the object detected such as a person, pet, or package, bounding box coordinates, a zoomed in image of the object detected, and the timestamp. You can deliver timely and actionable alerts when a desired object is detected.
Amazon Rekognition stored video analysis is a service to analyze your videos stored in Amazon S3 and detect objects, scenes, landmarks, celebrities, text, activities, and any inappropriate content. Rekognition Video stored video analysis also provides highly accurate facial analysis and facial search capabilities to detect, analyze, and compare faces, and helps you understand the movement of people in your videos. Each result or detection is paired with a timestamp so that you can easily create an index for detailed video search, or navigate quickly to an interesting part of the video for further analysis. For objects, faces, text, and people, Rekognition Video stored video analysis also returns bounding box coordinates, which is the specific location of the detection in the frame.
Use cases
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Abode Systems (Abode)
Abode Systems (Abode) offers homeowners a comprehensive suite of do-it-yourself home security solutions that sets up simply in minutes and enables homeowners to keep their families and property safe. Since the company’s launch in 2015, camera sensors have played an essential part in Abode’s solution, enabling customers to visually monitor their homes from anywhere.
We are always focused on making technology choices that provide value to our customers and enable rapid growth while keeping costs low. With Amazon Rekognition Streaming Video Events, we could launch person, pet and package detection at a fraction of the cost of developing everything ourselves. For us it was a no-brainer, we didn’t want to create and maintain a custom computer vision service. We turned to the experts on the Rekognition team. Amazon Rekognition’s streaming video events APIs are accurate, scalable and easy to incorporate into our systems. The integration powers our smart notification features, so instead of a customer receiving 100 notifications a day, every time the motion sensor is triggered, they receive just 2 or 3 smart notifications when there is an event of interest present in the video stream.
Scott Beck, Chief Technology Officer - Abode Systems -
VidMob
VidMob is a technology platform that connects marketers with a global network of expert editors, animators, and motion graphic designers.
Performance data isn’t a problem, but understanding why certain creative assets work better than others, and then having the ability to act on that information is. By building VidMob’s Agile Creative Suite™ on top of Amazon Rekognition, we are addressing two of the most significant marketer pain points. To date, our Agile Creative Suite has analyzed over 40,000 creative assets with Rekognition. The granularity of the data from Rekognition allows us to surface incredible insights for our clients, and enables them to see their content in a whole new way.
Alex Collmer, CEO & Founder - VidMob -
Pattern89
Pattern89 is the world's first data science coaching platform for paid social.
Pattern89 uses Amazon Rekognition to provide our customers with deep data analysis including creative coaching to improve ad performance on Facebook and Instagram. Our customers have been able to implement our recommendations to reduce their ad spend, increase revenue, and improve efficiency metrics. We chose Amazon Rekognition because of its simple API, support for multiple media types, and its best-in-class labeling and face detection.
Matt Brown, CTO - Pattern89