AI context awareness
Inertial data can be further processed using pattern recognition and automated labeling techniques to extract features. It allows monitoring driving behavior, road conditions, driver comfort and vehicle usage statistics based on sensor data analytics. The result is a new layer of information accessible to vehicle manufacturers, insurance companies, fleet management and circular economy services. This information enables new applications and product experiences that leverage AI to analyze readily available data.
Take a look at our case studies based on your research or business needs. Learn more about how our smart sensing solutions have helped our customers achieve their goals and revolutionize their industry.
Connected Fleet for Security, Innovation and Sustainability
221e installed our MUSE multi-sensor IMU as wearable sensors on postal workers’ uniforms and also on their vehicles as black box sensors. The goal was to detect man-down situations, collect data on driving dynamics and resource consumption to promote safer and more environmentally friendly practices. Using our sensor fusion and AI algorithms, we provided a platform for real-time data monitoring of driver conditions and safety.