Abstract: This project presents the design and implementation of a Smart Pole Home Security System utilizing Arduino and various sensors to provide an automated, efficient, and secure solution for home safety and control. The system integrates key components including an LDR for day/night detection, fire and gas sensors for hazard detection, a DC motor for automated gate control, and relays for home appliance management (e.g., lights and fans). A laptop camera is employed for vehicle number plate recognition and face recognition, which serve as a means of authenticating visitors and vehicles approaching the home. The system leverages the Telegram Bot API to communicate with the homeowner, sending real-time alerts and photos when unauthorized access is detected. The homeowner can then remotely grant or deny access via the Telegram app. If access is denied, or if the system identifies a threat, it automatically sends an alert to the nearest police station. The project enhances home automation by controlling lights and fans based on day/night conditions and provides a higher level of security through real-time monitoring and remote intervention.
Keywords: gas detection, water detection, Internet of Things (IoT), machine learning.
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DOI:
10.17148/IJARCCE.2025.14125
