DevMesh

DeepLens Home Security Anomaly Detection

Paul Langdon

Paul Langdon

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Using the AWS DeepLens Platform to create a home security anomaly detection system. The project explores setting up AWS DeepLens, training a model for detecting events (Sagemaker) in a home setting and deploying the model to run via Greengrass on the AWS DeepLens and Up Squared board. ...learn more

Project status: Under Development

Internet of Things, Artificial Intelligence

Code Samples [1]

Overview / Usage

Using the AWS DeepLens Platform to create a home security anomaly detection system. The project explores setting up AWS DeepLens, training a model for detecting events (Sagemaker) in a home setting and deploying the model to run via Greengrass on the AWS DeepLens and Up Squared board.

Methodology / Approach

Using the AWS DeepLens Platform to create a home security anomaly detection system. The project explores setting up AWS DeepLens, training a model for detecting events (Sagemaker) in a home setting and deploying the model to run via Greengrass on the AWS DeepLens and Up Squared board.

Technologies Used

AWS DeepLens, AWS Sagemaker, AWS Greengrass, AWS Lambda, Up Squared

Repository

https://github.com/plangdon/deeplens_security

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