Why Amazon Rekognition Streaming Video Events?
Connected home camera manufacturers and service providers are looking for low-cost machine learning (ML) solutions to process live video streams from cameras to detect people and objects in real time and provide actionable alerts to their end users. Amazon Rekognition Streaming Video Events is a low-cost, low-latency, and fully managed ML service for detecting people, pets, and packages from live video streams. With this service, you can minimize false alerts from camera motion events by sending real-time notifications only when a desired object, such as a person, pet, or package, is detected in the video frame.
Benefits of Amazon Rekognition Streaming Video Events
Customers
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Abode Systems
We are always focused on making technology choices that could provide value to our customers and enable rapid growth while keeping the 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. Every time a camera detects motion, we send alerts, in real-time, to our customers that are specific to events of interest such as people, pets or packages, and the latency is better than any other solution we’ve explored. This helps us filter out the noise and focus on what’s important to our customers–quality notifications. We have also improved our customer experience for video searches. Further, we could easily integrate this experience with Alexa and have not only doubled our customer engagement and satisfaction, but also seen a meaningful impact to our device sales. For us, it was obvious we didn’t want to build and maintain our own computer vision service. We turned to Amazon Rekognition’s APIs which are highly accurate, easy to incorporate into our systems, and very cost effective.
Scott Beck, Chief Technology Officer, Abode Systems -
3xLOGIC
Simply relying on motion detection sensors triggers several alarms that are not a security or safety risk when there is a lot of activity in a scene. By utilizing machine learning to filter out the vast majority of such events, such as animals, shadows, moving vegetation and more, we can dramatically reduce the workload of the security operators and improve their efficiency.
Ola Edman, Senior Director Global Video Development, 3xLOGIC