Cloud-Based Solution for Residential Security and Efficiency

Designed a fully serverless, scalable system to automate access control and visitor tracking in gated communities using AWS services. The system improves operational efficiency and security by replacing manual gatekeeping with real-time OCR, validation, and alerts.

Problem Statement

Residential communities often rely on manual, error-prone visitor tracking systems. The goal was to build a secure, automated cloud-based system that verifies vehicle entry through license plate recognition and alerts residents instantly.

Results

Upon validation, the system triggers AWS SNS to notify the corresponding resident in real time via SMS or email, allowing them to approve or deny the request. The entire decision process takes under 2 seconds. The switch from manual logging to automation reduced average gate entry time by more than 50%, improved traceability, and enhanced safety without requiring additional hardware.

Methodology

In this project, I built a fully automated vehicle entry verification system for gated communities using AWS cloud services. The system captures real-time images of vehicles entering the premises. AWS Rekognition is used to perform OCR on license plates. Extracted plate numbers are cleaned with regular expressions and cross-verified against a resident database stored in AWS DynamoDB. Based on the match, AWS Lambda either approves the entry or denies it.

Conclusion

This solution highlights the value of serverless, cloud-native architectures for real-time applications. It blends machine vision with event-driven design to deliver a practical, scalable system for smart community infrastructure.