Intelligent Zebra Crossing Using Motion Detection

Computer Science and Engineering

According to the World Health Organization (WHO, 2018), road traffic injuries (RTIs) are among the top 10 causes of death worldwide, with a greater negative impact on those aged 5 to 29 years (Passmore et al., 2019). While the number of traffic deaths decreased in 48 middle- and high-income countries between 2013 and 2016, pedestrians in low- and middle-income nations, particularly in the African, Eastern Mediterranean, and Western Pacific areas, still experience a disproportionate amount of stress from vehicle traffic (Namatovu et al., 2022). Pedestrians in the African continent are responsible for 38% of all fatal traffic accidents, compared to 22% globally. The WHO estimates that each year, 1.35 million people die and up to 50 million more suffer non-fatal injuries as a result of traffic accidents, with schoolchildren and the elderly at a higher risk of pedestrian accidents, and children as young as 11 having to navigate the task of crossing the road (Muntasir et al., 2018). The current zebra crossing system is plagued by a lack of respect from drivers who ignore the legal requirement to stop at zebra crossings, where pedestrians have the right-of-way (Dow et al., 2020). To address this issue and prevent fatalities, it is essential to control vehicle speed and horn usage. The highway department has implemented the Zebra line, a critical traffic sign that provides a safe crossing for pedestrians at crossroads (Sajan& King, 2021). This study seeks to develop and deploy an intelligent zebra crossing system that utilizes motion detection to detect the presence of people seeking to cross the road.

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