Distracted driving is one of the major causes of road accidents across the world. In the US alone it causes over one thousand accidents and nine casualties every single day.
With the adoption of advanced automation and autonomous driving capabilities, Manufacturers are facing pressure to develop safety protocols to work with these as well as scaling to every-evolving safety standard and matching industry regulations.
Which is what Affectiva have been working on. In order to improve road safety, their Automotive AI measures complex and nuanced emotional and cognitive states from the driver’s face and voice to enable manufacturers to measure driver impairment and allow them to design effective and compelling adaptations for their vehicles to enhance safety within their products.
This "next generation" of in-car software is built using custom deep learning architectures, computer vision, speech processing and massive amounts of real-world data captured during the Automotive AI's testing and development phases.
Affectiva Automotive AI promises to take driver state monitoring to the next level to monitor driver fatigue by enabling appropriate alerts and assistance to help correct unsafe driving as well as focusing on driver distraction by using their in-vehicle conversational agent to bring the driver back to attention. Scalable to an entire fleet, their data will allow fleet managers to focus training efforts more effectively and encourage positive driving behaviours within their drivers.
"Nobody likes the idea of being monitored when driving, but if it makes you a safer, more aware driver and improves the world around us, then surely everyone will want to be involved" Shivvy Jervis
