Design and Implementation of a Remotely Operated Vehicle for Real-Time Monitoring Application

Efficient surveillance of large-scale commercial warehouses and private properties guarantees asset security, operational lapse, and real-time situational awareness. Conventional surveillance systems often lack mobility and flexibility, which reduces their effectiveness in dynamic environments. This paper discusses the design and implementation of a flexible, low-cost, and energy-efficient Remotely Operated Vehicle (ROV) developed and designed for real-time remote surveillance of spacious commercial premises. The main goal of this project is to facilitate remote monitoring with real-time video streaming, providing an affordable option compared to fixed camera setups and costly autonomous patrol robots. The suggested system uses an STM32F4xx series microcontroller for real-time management, a 2.4 GHz NRF24L01 transceiver for wireless connectivity, and a Python-driven video streaming module combined with an HTML-based control interface reachable over the local network. The power system incorporates a 76 Wh LiFePO₄ battery, with stable voltage regulation achieved using LM2596 and AMS1117 modules for different subsystems. The software architecture combines Arduino C, Python, and HTML, allowing effective control, live feed management, and user-friendly access. The system’s novelty lies in its hybrid multi-platform design, wireless range, and energy efficiency, tailored for indoor and semi-outdoor commercial environments. Experimental results show that the ROV achieves a stable control range of over 50 meters and continuous operation exceeding 1.5 hours on a single charge. Video streaming performance remains consistent with minimal possible latency, even in warehouse environments with moderate interference. While currently designed for commercial and industrial use, the system’s modularity allows future integration of features such as autonomous navigation, object detection, and deployment in hazardous and defence-sensitive environments. In conclusion, the proposed ROV offers a scalable and practical solution for commercial surveillance, contributing towards intelligent, mobile, and energy-efficient monitoring systems.