A Novel Solution to Transportation Safety

As the popularity of autonomous cars increases, a significant number of semi-autonomous vehicles have been sold, highlighting the technology's imperfections through associated crashes. These incidents can render motor vehicle operators in-capacitated, hindering their ability to request assistance. Consequently, the Intelligence Autonomous Monitoring (IAM) concept emerged. IAM is an intelligent monitoring system developed using a Raspberry Pi 4B, an Intel Real Sense D-455 camera, and the Convolutional Neural Network Yolov7, trained on car crash images. Convolutional Neural Networks have proven in-valuable for object detection, encompassing various applications, including identifying vehicles and individuals. This review aims to aid future researchers in enhancing the device's detection and prevention capabilities.