GitHub - shantanu-93/pi-eye-py: Cloud (AWS) and Edge (Raspberry Pi) enabled application that gives real-time motion and object detection.

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Name		Name	Last commit message	Last commit date
Latest commit History 113 Commits
.gitignore		.gitignore
Cloud_Computing_Report.pdf		Cloud_Computing_Report.pdf
README.txt		README.txt
analyze_pi.py		analyze_pi.py
demo.txt		demo.txt
ec2-controller.py		ec2-controller.py
ec2-instance.py		ec2-instance.py
ec2_util.py		ec2_util.py
find_most_recent.py		find_most_recent.py
global_constants.py		global_constants.py
parse.py		parse.py
queue_util.py		queue_util.py
record.py		record.py
requirements.txt		requirements.txt
s3_util.py		s3_util.py
start_script.py		start_script.py
surveillance_cfs.py		surveillance_cfs.py
upload_script.py		upload_script.py

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# pi-eye-py
Motion detection and object identification with DarkNet on Raspberry Pi setup


1. Run below commands
	sudo apt-get install python3-pip
	pip3 install -r requirements.txt
2. Configure aws CLI
	Download from https://aws.amazon.com/cli/
	navigate to directory ..\Amazon\AWSCLIV2
	open cli
	Run command: aws configure
		Add access key and secret key created from: https://console.aws.amazon.com/iam/home
		set region as: us-east-1
		set output format as: json
3. BOTO3 and aws user local setup complete