Sleepiness detection system for mining vehicles drivers

JUAN CARLOS CORREA; ANDRÉS LAGE; ADRIÁN ORELLANA; TOMÁS DURÁN

Mar del Plata

Workshop; 2017 XVII Workshop on Information Processing and Control (RPIC); 2017

RPIC

With the aim of improve minig safety, this workpresents a new development intended to detect a long eye closureof the drivers of huge mining trucks.Information is beingcaptured with an artificial vision system and the resulting imagesare being processed using the ?dlib? library. The improvementsachieved are going to be incorporated in an integrating systemintended to globally improve the mining operators of hugemachines safety.The system object of this work is beingdeveloped to be incorporated into the driver?s cabin.Thecamera?s processed information with the speed information aregoing to trigger alert signals for the driver of the vehicle, aswell as for the mining trucks control center. The hardware ofthe present development is composed of a near infrared cameraand illuminator intended to detect the eyes and eyelid?s state as?open? or ?closed?. The complete system, beyond the presentwork, will include another camera that will sense the steering-wheel movements, driver?s head position and a GPS that will besensing the vehicle speed and position.