Versatile Vision: Innovation of a Node-RED-based Smart Surveillance System
Muhammad Rafli Ardiansyah, Anhar Risnumawan, Farida Gamar · 2023
Our study focuses on creating an adaptable surveillance system through visual programming in Node-RED. We have used a combination of Raspberry Pi 3B+, a camera module, and two mini servo actuators for our hardware framework, which provides flexible camera movement. The pan-tilt mechanism operated by mini servos gives greater control over camera positioning, resulting in a broader visibility range than traditional fixed-mount cameras, increasing versatility. Our research integrates computer vision techniques like contour-based object detection into the program blocks. We provide users to develop their programs independently. Through these methods, we aim to count objects within an area accurately. It is worth noting that our Node-RED-based adaptable surveillance solution has extensive applicability across various environments. To monitor object presence or quantity efficiently while considering all possible variations. One noteworthy aspect of this study is our proposed method’s inherent ability to ease deployment. Our innovative solution combines adaptability with efficiency through automated monitoring mechanisms which activate alarms if necessary. This research highlights how Node-RED can be an essential aspect of future programmable surveillance system development that is key to enhancing security and efficient use of spaces.