A Comprehensive System for Coal Mines with Vehicle Gate Pass Automation using Face Detection, Truck Number Plate Recognition, and Road Conditions Monitoring

Abstract

Coal mines are generally deprived of technological advances. Most of the tasks carried out in coal mines are still manual which leads to many inefficiencies and malpractices. One such scenario is near the entry gate of the coal mine. The system for authenticating the trucks entering the coal mine involves a human intervention to some extent. Truck drivers often change the numberplate of trucks for malicious purposes and forgery. This may lead to coal theft. Hence, it is necessary to ensure that only the authentic truck enters the mine and only a genuine person is driving it. Besides verifying the authenticity of the driver, road condition monitoring including detecting and recognizing traffic signs is an important aspect of coal transportation. This article exhibits a comprehensive system consisting of gate pass automation using face detection and number plate recognition. Integrating real-time traffic analysis in coal-carrying trucks will provide a safe driving experience. A functionality for detecting and recognizing traffic signs and conveying the same to the truck driver using a voice assistant is proposed for providing additional safety. All the data collected by the system in real-time will be stored on the cloud for proofreading. A user interface showing real-time statistics can be provided to concerned authorities for ease of monitoring. Also, the proposed system is versatile and can be used in any other industry involving the transport of goods.