Optimization of Remote Sensing Technology Based Surveillance Systems for Energy Efficiency and Cost-Effectiveness in West African Region

Abstract

The rapid expansion of Remote Sensing technologies has revolutionized the field of surveillance, enabling real-time monitoring with reduced costs and enhanced accessibility. However, energy efficiency remains a primary concern, especially for systems designed for continuous operation. This paper explores the energy efficiency aspects of Remote Sensing based surveillance systems, particularly focusing on low-power modules such as the ESP32-CAM and passive infrared (PIR) motion sensors. We analyze power consumption patterns of these components and introduce optimization techniques in firmware and hardware configurations to reduce energy usage without compromising surveillance effectiveness. The study further includes a cost-benefit analysis, highlighting the value of optimized Remote Sensing-based surveillance for small-scale applications in homes and businesses. By emphasizing energy efficiency, we aim to enhance the viability and affordability of Remote Sensing-based surveillance systems, making them accessible for broader adoption and practical use in low-resource settings.