CoDriver is an innovative camera-based driver monitoring software solution from Jungo, for the ADAS (Advanced Driver Assistant Systems) market. Based on state-of-the-art deep learning, machine learning and computer vision algorithms, CoDriver provides the car with a complete, real-time picture of the driver’s condition. CoDriver, together with additional ADAS components through Sensor Fusion, helps cars better understand the relationships between events, both internal and external to the vehicle cabin.
By obtaining the valuable information provided by CoDriver, car makers can create safer cars and reduce crashes caused by distracted or drowsy drivers. Furthermore, with the era of the autonomous vehicle around the corner, CoDriver is set to play an instrumental role in helping the industry transition from manual, through semi-autonomous to fully autonomous driving.
By using CoDriver, cars can know whether or not the driver is ready to take control of a vehicle in a semi-autonomous scenario. In a fully-autonomous experience, the car can get valuable information about the passengers’ well-being, mood and overall condition while in the vehicle.
CoDriver for Full Cabin Detection
CoDriver for full cabin was designed to bring a new layer of visual information of in-cabin behaviors and activities, leveraging computer vision, machine and deep learning software. CoDriver for Full Cabin enables getting real time information about everything going on inside the vehicle.
CoDriver uses standard IR cameras to provide information such as:
- Number of people in the cabin
- And much more…
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