Abstract
Abstract :In the wake of growing security concerns and the need for autonomous monitoring solutions, intelligent surveillance systems have gained significant importance. This project introduces a multifunctional Surveillance Seeking Bot, a compact, mobile unit that integrates a suite of advanced technologies including the ESP32-CAM, NodeMCU, ultrasonic sensors, motion detectors, and gas sensors. Designed for real-time environmental assessment and threat detection, the bot serves as a comprehensive solution for dynamic surveillance needs across diverse sectors such as residential security, public safety, and industrial hazard monitoring.The ESP32-CAM functions as the visual core of the bot, capturing and streaming high-resolution video footage, which is processed through the YOLO (You Only Look Once) object detection algorithm. This enables real-time identification and classification of objects and individuals within the monitored area, enhancing situational awareness and enabling timely responses. The NodeMCU serves as the central control unit, managing data flow between components and facilitating wireless communication with user interfaces.To ensure autonomous mobility and obstacle avoidance, ultrasonic sensors are integrated to provide spatial awareness. Simultaneously, motion sensors allow the bot to prioritize and focus on areas of activity, optimizing surveillance efficiency. The addition of gas sensors further expands the bot’s capabilities, allowing it to detect hazardous substances and provide safety alerts.The system architecture promotes seamless integration of hardware and software, enabling real-time data acquisition, intelligent decision-making, and remote control via Wi-Fi. The result is an affordable, scalable, and adaptable surveillance platform capable of operating with minimal human intervention. This project demonstrates the potential of combining IoT, AI, and robotics to revolutionize surveillance, paving the way toward smarter, safer, and more responsive environments.