Aachen – FEV, a global leader in driving innovation for future mobility, introduces CogniSafe, an advanced Driver Monitoring System (DMS) designed to greatly enhance road safety. This cutting-edge system utilizes state-of-the-art technologies like deep learning and computer vision to monitor driver alertness, detect fatigue, and identify distractions in real-time, even in difficult driving conditions.
“CogniSafe is a holistic, innovative system that uses a variety of sensors and combines them with artificial intelligence (AI) to precisely analyze driver behavior and alertness”, said Dr. Thomas Hülshorst, Group Vice President Intelligent Mobility & Software at FEV. In (semi-) autonomous vehicles in particular, legal safety requirements are increasing, and the driver must be able to intervene in any situation. “With our latest development, we are actively reducing accidents caused by human error. At over 90 percent, these make up the majority of all accidents,” said Hülshorst.
At CogniSafe, we utilize a distinctive combination of functions that work in tandem with each other. Our system incorporates a network of cameras that operate in both the visible light and infrared spectrum to scrutinize driver behavior from various perspectives. With this information, the system is able to consistently monitor the driver’s gaze, evaluate eye condition (such as the percentage of eye closure, PERCLOS), and assess head posture, providing valuable insights into alertness, fatigue, and drowsiness.
By employing a unique set of functions, CogniSafe is able to effectively analyze driver behavior using a network of cameras that operate in both the visible light and infrared spectrum. This allows the system to continuously monitor the driver’s gaze, assess eye condition (including the percentage of eye closure, PERCLOS), and evaluate head posture, providing critical information on alertness, fatigue, and drowsiness.
AI is essential to the operations of FEV’s most recent advancement. Convolutional Neural Networks (CNN) are utilized for accurate, real-time analysis that adjusts to various drivers and environmental factors, including different lighting conditions, and continually enhances its performance.
“The solution is also very interesting for target groups such as fleet operators or insurance companies, who have a strong interest in safe driving practices”, said Hülshorst.
For more details, visit https://shorturl.at/hy3dq
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