Statistics show that more than 90% of road accidents are caused by driver error (European survey - European New Car Assessment Program (Euro NCAP). Human errors can occur due to driver fatigue, distraction, inattentiveness, intoxication, inexperience, or sudden medical incapacitation. The Apollo system upon development can potentially and effectively detect impaired or distracted driving, providing an audible and visual alert and possibly in extreme cases, prevent crashes or take over the vehicle. The Apollo system may use radio waves for monitoring and assessing the driver's physical and mental condition reliably and accurately. Based on this data the system can alert or act to ensure safety. The system concept includes an AI algorithm that analyze the driver's face, breathing rhythm, heart rate, eyes status, and perspiration and can determine if he/she is in a condition to control the vehicle.
GBT believes that the Apollo system, if developed, can significantly reduce driver errors caused by distractions, fatigue or emotional causes and can save lives by taking control over the vehicle, in case of sudden medical condition. The company will add this these concepts and possible application to its non-provisional patent that is planned to be filed during the next few weeks.
“We have identified an efficient safety application of our Apollo project technology. The Apollo system can detect objects and living entities based on radio technology. The system analyzes the returned reflected waves information and detects people’s position, movements, and can even measure their vitals. When applying this technology as a driver monitoring system, Apollo can analyze the driver's face, eyes position, pupils, heart rate, breathing rhythm, head, and body position in order to “see” the driver’s face, and posture. Using this data, the system can determine the driver’s physical and mental status at all times. For example, it can identify that the driver’s eyes are closed, open or blinking. Since the technology is RF based it can detect these characteristics even if the driver is wearing dark sunglasses or at night. AI algorithms collect the driver’s data, creating a model of a driver’s normality, attentiveness, and state of mind in normal circumstances. In case of abnormalities the system will alert via audible and visual to get the driver's attention. Upon user’s permission setup, if no driver response is achieved in an acceptable time manner, the system can take control over the vehicle, and stop it for safety purposes. The company filed a provisional patent on
There is no guarantee that the Company will be successful in researching, developing or implementing this system. In order to successfully implement this concept, the Company will need to raise adequate capital to support its research and, if successfully researched, developed and granted regulatory approval (provisional patent was submitted), the Company would need to enter into a strategic relationship with a third party that has experience in manufacturing, selling and distributing this product. There is no guarantee that the Company will be successful in any or all of these critical steps.
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