Optimisation of ESP32-Cam-based Smart Security Using Fingerprint and PIR Sensor with Telegram App Notification

Abstract

Smart security is a combination of technologies that utilise devices connected through connectivity and data with integration between one device to another with the aim of utilising the IoT (Internet of Things) based internet network. In today's global technology, smart security systems are very widely used in various tools that can facilitate activities, including server rooms. The system can use several devices such as the NodeMCU ESP32-Cam microcontroller, fingerprint sensor, PIR (Passive Infrared Receiver) sensor, buzzer and telegram application. This system sends a telegram notification in the form of an object image that will be sent to a telegram message on a smartphone or laptop if motion is detected in the server room with an emergency door lock feature. Based on the results of testing the tool, the overall test data results of this system are obtained, the PIR sensor is able to detect motion at a distance of 0 to 7 metres marked by the active buzzer and telegram notifications appear on smartphones and laptops with an average time delay of 1 to 3 seconds and total storage data usage for 1 month required on average of 3.1 MB. This intelligent security system can also distinguish server room members and non-members of the server room, with the implementation of intelligent security tools in this server room, it can increase security and reliability in the server room.