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The Application detects motion and starts recording using the camera connected to the raspberry pi. The videos are processed to detects object using the darknet model. The application balances the processing load between raspberry pi and EC2 instances. We have hard coded the auto-scaling feature to control the number of instances that are launched.

License: MIT License

Python 100.00%

survellience_system_using_raspberry_pi_and_aws's Introduction

Hi there ๐Ÿ‘‹

Hi ๐Ÿ‘‹, I'm Monil Nisar

I completed my Masters's Degree in Computer Science at Arizona State University in May 2021. I currently work in Access Security domain for Workspace @ Google (formerly known as GSuite).

mnisar

  • ๐ŸŒฑ Iโ€™m currently learning Docker & Kubernetes

  • ๐Ÿ’ฌ Ask me about Python, MongoDB

  • ๐Ÿ“ซ How to reach me [email protected]

Connect with me:

monil-nisar 10430620 monil4900

Languages and Tools:

arduino aws c cplusplus django docker firebase flask gcp git hadoop heroku hive linux mongodb mysql postman python react redis scala scikit_learn selenium

mnisar

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survellience_system_using_raspberry_pi_and_aws's People

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