Worker and Driver Drowsiness and Attention Monitoring Open-Source Framework from State-of-the-Art Components

Workplace safety, particularly in production lines and the automotive industry, has received unprecedented attention in recent years, leading to stricter regulations and driving innovation in monitoring technologies. A key focus has been on the development of systems to detect drowsiness and monitor attention levels in both workers and drivers. Current visual monitoring approaches analyze various indicators including eyelid movements, yawning frequency, head position, driving behavior, traffic response patterns, and physiological measurements such as heart rate and its variability using photoplethysmography. This paper presents an integrated solution that combines multiple cutting-edge components to assess attention and drowsiness levels. Our open-source system, released under the GNU Public License, incorporates measurements of head position, yawning detection, gaze tracking, and blink analysis. The developed software platform enables testing applications in efficiency monitoring, manufacturing process optimization, and safety enhancement.