The Driver fatigue often becomes a direct cause of many traffic accidents.
Active safety systems that significantly reduce the number of accidents are among the top priorities for automotive manufacturers. Over the years, engineers have been trying different techniques to detect a drowsy driver, which is one of the most common causes of road accidents. These techniques included analyzing the steering wheel operation, drivers’ brain waves and heartbeat, and monitoring the driver’s response to the designed queries. Despite all these techniques, reliable detection of driver drowsiness remains elusive.
TEK Labs Driver Drowsiness Detection solution leverages an on-board camera to detect eyelid closure of the driver. The on-board camera continuously captures the driver’s face, and the captured video stream is processed in real-time by a proprietary algorithm to detect the drowsiness condition based on the eyelid pattern. As soon as the system identifies an impending unsafe condition, it generates a warning sign so that the driver can react and take immediate action.
TEK Labs proprietary engine for image processing and drowsiness detection The key steps performed by the engine are as below.
The TEK Lab’s drowsiness detection solution features the following key attributes:
The algorithm can detect driver drowsiness under various conditions such as:
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