In Kerala, India, road accidents are a serious threat to community safety. An important contributor to the severity of injuries and fatalities in these accidents is the failure to use a seat belt. One interesting response is the use of AI-based seat belt detection devices. The use of a seatbelt can be detected in real-time by these systems because to the integration of computer vision algorithms, deep learning models, and sensor technologies. Road conditions, traffic patterns, and cultural norms are only some of the elements that must be taken into account when adopting such systems in Kerala. This investigation employs a computer science lens to examine the usefulness, difficulties, and prospects of introducing AI-based seat belt detection devices to the state of Kerala. Research gaps are discovered and targeted research objectives are established through a thorough examination of the existing literature. The results of this research are meant to improve road safety in Kerala by making it easier to implement artificial intelligence-based seat belt detection systems, increasing the prevalence of seat belt compliance, and decreasing the number of roadaccidents.

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Keywords: Road Accidents, Seat Belt Compliance, AI-based Seat Belt Detection Systems

Kerala, Road Safety.