Fingerprint project

Choose a high-quality fingerprint scanner that can be integrated with your system. Look for one with a robust SDK/API for developers. Popular brands include Suprema, DigitalPersona, and SecuGen. Ensure the scanner is compatible with your operating system and can be connected to the network or directly to a computing device. Computing Device could be a PC, a Raspberry Pi, or any other device that can connect to the fingerprint scanner and the internet. It will run the software that interacts with the scanner and sends data to AWS.

then

you can use the following AWS services

Amazon Rekognition: While primarily known for image and video analysis, Amazon Rekognition can be used for biometric authentication purposes. However, it's important to note that as of my last update, Amazon Rekognition does not support fingerprint recognition directly. It is more suited for facial recognition tasks. You can use it for an alternative or supplementary method of attendance tracking.

AWS Lambda: This service can handle the backend logic of your attendance system. For example, it can process fingerprint data, compare it against a database, and update attendance records.

Amazon S3: Store the fingerprint templates and attendance records securely in S3 buckets. You can set up lifecycle policies to handle data retention according to your organizational policies.

Amazon DynamoDB or Amazon RDS: Use these services to maintain a database of employee records, fingerprint templates, and attendance logs. Choose DynamoDB for a serverless, NoSQL option, or RDS if you prefer relational databases.

AWS IoT Core: If your fingerprint scanners are IoT devices, AWS IoT Core can securely connect them to the cloud and manage data exchange.

Amazon API Gateway and AWS Cognito: Use these for secure API management and authentication if you're developing a web or mobile app for attendance tracking.