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AWS Panorama end of support
updated 5 months, 1 week ago
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AWS Panorama shouldn’t be in question sets anymore.
Category: MLS – Machine Learning Implementation and Operations
To enforce safety protocols, a village is looking to integrate artificial intelligence (AI) into its existing IP cameras to monitor areas where large crowds gather. The AI model should be able to give a count of people in a given area in near-real time. The video feeds will be monitored and analyzed in a local command station. Furthermore, personnel manning the station must be alerted via SMS if the headcount exceeds the specified threshold.
Which solution best fits the given requirements?
Connect an AWS DeepLens camera to the existing camera network to consume video feeds. Deploy a people counter application built on top of a pre-trained face detection model. Use the AWS SDK for Amazon SNS to send SMS messages.
Use Kinesis Video Streams to ingest video feeds from the existing camera network. Create a Fargate application that processes and decodes frames from the stream. Send the decoded frames to a face detection model hosted on Amazon SageMaker. Use the AWS SDK for Amazon SNS to send SMS messages.
Use Kinesis Data Streams to ingest video feeds. Create a Lambda-based consumer that calls a SageMaker face detection model to make near-real-time inferences. Configure the function to respond to S3 PUT events. Use the AWS SDK for Amazon SNS to send SMS messages.
* Connect an AWS Panorama device to the existing camera network. Deploy a computer vision (CV) application to the device. Use the AWS SDK for Amazon SNS to send SMS messages.
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Reference: https://docs.aws.amazon.com/panorama/latest/dev/panorama-end-of-support.html -
Hello PKX01,
Thanks for flagging this, PKX01! You’re right that AWS Panorama is reaching the end of support, but it’s still officially listed in the exam guide until May 2026. So for now, it can still appear in question sets.
That said, your note has been taken and acknowledged. We’ll keep this in mind for future updates.
Regards,
Nikee @ Tutorials Dojo
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