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Dreyev offers an in-vehicle digital copilot device that evaluates drivers for risky behavior. Through Computer Vision and Machine Learning, the Dreyev system analyzes driver conditions such as head pose and eyelid closure to detect distracted or drowsy driving and issues real-time alerts in the case of dangerous conditions. Telematics devices have been on the rise within the auto insurance industry. However, in-vehicle driver coaching is only just emerging. Most insurers use in-car sensors to collect driver data to incentivize certain behaviors or curate an insurance product. A system to monitor and correct driver behavior like the one Dreyev offers can present carriers with the opportunity to take telematics into the realm of loss prevention and risk mitigation. IoT and sensors go beyond helping insurers reduce claims; they also provide opportunities for new forms of consumer engagement and ways of broadening the insurance product experience beyond covering losses.
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