Reliability-driven modelling of a smart wild animal detection and alert system for human safety

The aim of this paper is to analyse the performance of the automatic wild animal alert system that provides information to the people about the presence of the wild animals in their area using a fault tree analysis-driven reliability-centric approach. As these animals may attack humans, their livestock’s or destroy crops; there is a need for a system that helps protect from such threats. In this research, the proposed animal detection system is treated as a conceptual model developed for analytical and reliability evaluation purposes. Without concentrating on a specific hardware implementation or field deployment, this paper offers a theoretical reliability framework for evaluating the suggested system under idealized assumptions. The major units considered in the study are the detecting unit, processing unit, communication unit, alert unit and power supply. The proper working of all these units ensures the safety of people, livestock and crops. In the event of the failure of the major units of the system, the communication of the system with people is completely compromised and this may lead to the fatal losses and fatal damages to the people living in the area. A mathematical model based on system failure and repair characteristics is developed to analyse system performance. The different performance measures like availability, reliability, MTTF have been determined for the improvement and to develop better maintenance strategy of the animal alert system. The finding reflects that the system keeps a 0.95 availability rate over 2000 h, its reliability decreases to 0.33 after 1000 h, highlighting the necessity for periodic maintenance. The obtained value of MTTF is between 500 and 833.33 h, with the processing unit recognized as the most crucial unit. The anticipated penalty for downtime is ₹900,000, underscoring the financial significance of enhancing system reliability. The study contributes by providing a structured reliability framework for analysing such safety- critical alert systems. Conclusion of the study consists of the suggestions to improve the overall performance of animal alert system.