Hardware Requirements:

1.Raspberry Pi (Any Version Will Work)

2.Raspberry Pi Camera (Also USB Webcam Can Be Used)

3.Push Button

4.Motion Sensor (Optional)

Software Dependencies:

pipinstallboto3

pip3installboto3

Step 1 : Create a AWS S3 Bucket in that bucket create folders with the name of the students and add their images atleat 5-10

Step 2 : Go to IAM and create a new user and set access type to Programmatic access

Step 3 : Set permissions for S3 and Rekoognition to full access

Step 4 : Complete the process you will get Accesss Key ID & Secret Access Key Copy both and add it in train.py and main.py

s3_client = boto3.client(    's3',    aws_access_key_id='',# add the aws access key    aws_secret_access_key=''# add the aws secret access key    )collectionId='' #collection namerek_client=boto3.client('rekognition',                            aws_access_key_id='',# add the aws access key                            aws_secret_access_key='',# add the aws secret access key                            region_name='',)# add the region here

rek_client=boto3.client('rekognition',                        aws_access_key_id='',# add the aws access key                        aws_secret_access_key='',# add the aws secret access key                        region_name='ap-south-1',)# add the region here

Step 5 : Add the S3 Bucket Name & Folder to save the images on pi

bucket = '' #S3 bucket name

directory = '' #folder name on your raspberry pi

Run

python train.py

python main.py

python main_button.py

python main_motion.py

License & Copyright