Home intelligence surveillance security system (HISSS) / Shafiq Hazri Samsulmasri

Video surveillance (CCTV) is used worldwide for security and monitoring, but debates exist regarding the balance between surveillance and privacy rights, while home security systems lack advanced technologies, making homeowners susceptible to security breaches and property damage. The goal is to create a smart home security system using an ESP32 CAM AI Thinker MB Programmer, encompassing circuit design and system construction. This report aims to design a wireless CCTV system using an ESP32 CAM AI Thinker MB Programmer. This project utilizes three inputs which are a human movement detector, a collision impact sensor, and a high sensitivity sound detector and has three corresponding outputs which are capturing and recording motion, a buzzer, and an LED. The system initiates sensor detection, stops if nothing is detected, otherwise starts recording and saves it to storage, with optional activation of the buzzer and green LED for 1 minute. The significance of this study lies in its contribution to the future development and improvement of surveillance technology, paving the way for advanced security measures and optimized resource utilization, such as the production of CCTV materials from recyclable or environmentally friendly materials.