SMART DOOR KNOCK OR OPEN-ALERT NOTIFICATION SYSTEM

Abstract

The increasing demand for intelligent home security and real-time visitor awareness has accelerated the development of Internet of Things (IoT)-enabled monitoring systems capable of detecting physical events at residential and commercial entry points. Conventional doorbells, mechanical locks, and standalone alarm systems generally require direct human observation and often fail to provide immediate remote notifications when a visitor knocks on a door or when the door is opened unexpectedly. This research proposes a Smart Door Knock or Open-Alert Notification System that integrates vibration-based knock sensing, magnetic door-state detection, embedded edge processing, wireless communication, cloud-supported event management, and real-time user notifications within a unified security framework. The proposed system employs a vibration or piezoelectric sensor to identify physical knocking patterns and a magnetic reed switch to continuously determine whether the door is open or closed. Sensor signals are acquired by an IoTenabled microcontroller such as the ESP32, preprocessed to suppress noise and false triggers, and evaluated through configurable threshold and temporal decision logic. When a valid knock event is detected, the system generates a visitor-related notification; when the door transitions from a closed to an open state, an immediate open-alert notification is transmitted to the authorized user. The framework supports Wi-Fibased communication and can deliver alerts through a mobile application, web dashboard, push notification service, or other authorized messaging interface. To improve reliability, the proposed architecture incorporates event classification, duplicate-event suppression, timestamp generation, user-defined alert rules, event logging, and escalation mechanisms for repeated or suspicious activity. A layered architecture consisting of Sensor Data Acquisition, Edge Processing and Event Classification, IoT Communication, Cloud and Notification Management, and Application/User layers is presented. A prototype-oriented evaluation methodology is defined using detection accuracy, precision, recall, notification success rate, and response latency. Illustrative conceptual results indicate that integrated multi-sensor event detection can provide better reliability and faster notification than manual observation, basic door alarms, and singlesensor IoT approaches. The proposed framework is low-cost, scalable, and suitable for homes, apartments, offices, laboratories, storage rooms, hostels, and other access-sensitive environments