Face Recognition Door Lock with AWS Rekognition & Raspberry Pi3 it works with RPI3 using the camera module
Python2
Boto3
pip install boto3Python3
Boto3
pip3 install boto3Step 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 4 : Complete the process you will get Accesss Key ID & Secret Access Key Copy both and add it in train.py and main.py
train.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 name
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='',)# add the region here
recognition.py
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
Both files
bucket = '' #S3 bucket name
recognition.py
directory = '' #folder name on your raspberry pi
First Run Train.py File on RPI
python train.py
Run main.py File on RPI ,connect the booton with GPIO 26
python main.py
Licensed under the MIT License