QR Code Based Security System for Gated Communities using Python

Abstract

This project presents an intelligent Toll Gate Automation System that integrates QR code scanning, number plate recognition (OCR), and IoT-based control using NodeMCU (ESP8266) to authorize vehicle access. The system uses a graphical user interface (GUI) developed in Python, enabling users to first scan a QR code and then upload a car image for license plate detection. Optical Character Recognition (OCR) with Tesseract is used to extract vehicle numbers, which are then cross-verified with the QR data. If both credentials match an entry in the registered database, the system sends a signal to NodeMCU over a serial interface.
Upon receiving the command, NodeMCU performs access control operations: it activates a servo motor to open the gate, illuminates a green LED to to indicate authorized access, and updates the Blynk IoT dashboard (V0) with the status “Authorized Vehicle.” In contrast, unauthorized access triggers a red LED, buzzer alarm, and a “Unauthorized Vehicle” alert on Blynk. Furthermore, the Blynk mobile interface provides manual gate control via a button (V1), allowing the user to remotely open or close the gate as needed.This hybrid system enhances security and automation at vehicle checkpoints, such as toll booths or private parking entrances, offering a smart, efficient, and scalable access management solution.