Sleepiness detection system for mining vehicles drivers

With the aim of improve minig safety, this work presents a new development intended to detect a long eye closure of the drivers of huge mining trucks. Information is being captured with an artificial vision system and the resulting images are being processed using the “dlib” library. The improvements achieved are going to be incorporated in an integrating system intended to globally improve the mining operators of huge machines safety. The system object of this work is being developed to be incorporated into the driver's cabin. The camera's processed information with the speed information are going to trigger alert signals for the driver of the vehicle, as well as for the mining trucks control center. The hardware of the present development is composed of a near infrared camera and illuminator intended to detect the eyes and eyelid's state as “open” or “closed”. The complete system, beyond the present work, will include another camera that will sense the steering-wheel movements, driver's head position and a GPS that will be sensing the vehicle speed and position.