The combination of ADI’s ToF technology with Jungo’s Co-driver software - the company is a supplier of automotive software - is expected to enable the monitoring of vehicle occupants for levels of drowsiness and distraction by observing head and body position as well as eye gaze. The solution is expected to enable smart vehicle interaction based on face, body, and hand gestures, and offer a facial recognition capability that identifies individuals in the cabin and gives them access to features such as infotainment personalisation, personalised services, and ridesharing payments.
“The collaboration between ADI and Jungo opens the door to new and innovative augmented reality applications beyond today’s gesture control,” said Vlad Bulavsky, product line director, Automotive Connectivity and Sensing, Analog Devices. “We believe our work together can bring cabin sensing with ToF-based driver- and occupant monitoring to the next level and improve vehicle safety.”
3D ToF is a type of scannerless LIDAR (Light Detection and Ranging) that uses high power optical pulses in durations of nanoseconds to capture depth information (typically over short distances) from a scene of interest. ADI offers products and solutions to directly enhance the capabilities of 3D ToF systems, including processing, laser drivers and power management, along with development boards and software/firmware to aid in quick implementation of 3D ToF solutions.
Jungo’s Co-driver software uses state-of-the-art deep learning, machine learning, and computer vision algorithms to detect in real time the driver state using driver facing cameras. It also supports in-vehicle full detection technology with functions such as counting of the number of occupants, detection of seat belt wearing or detection or observing of critical medical conditions.
