Real Time IoT Based Camel-Vehicle Collision Avoidance System for KSA

Abstract

Animals (especially camels) vehicle collisions are a growing problem in the Kingdom of Saudi Arabia (KSA), resulting in loss of money, animals' lives and considerable human injury and death every year. Therefore, it has become an urgent need to implement a reliable system for camel detection and drivers warning for KSA. Although many existing systems were installed in other countries, they are not suitable for camels or the KSA environment. In this paper, a reliable, low cost, real time Internet of Things (IoT) based Camel-Vehicle Collision Avoidance (CVCA) system is proposed. The system consists of two main parts which are; the camel detection and the driver warning systems. It requires low data traffic to be uploaded to the cloud. Therefore, the probability of network congestion is very low. Moreover, it can be operated at night when most camel vehicles accidents occur.