The 4D imaging technology using cameras and LIDAR comes with drawbacks as the cameras are sensitive to external environmental conditions like bad light, fog, etc. Hence, the radar technology for 4D imaging allows a good resolution scan with an accurate field of view. Vayyar’s Radar on Chip (RoC) is one such example for 4D Imaging applications.
The automotive-grade RoC is AEC-Q100 approved and is equipped with up to 48 transceivers in the mmWave range. It also features a digital signal processor (DSP) and a microcontroller unit (MCU) for real-time signal processing. The 4D Imaging RoC replaces the requirement of many antennas at different locations and fits everything on a single chip. This improves the form factor and reduces the overall cost.
The 4D Imaging RoC supports many features including intruder alerts, Child Presence Detection, enhanced Seat Belt Reminders, and eCall to alert emergency services in the event of a crash. It also features posture detection by imaging at a good resolution of around 5cm pixel, hence it allows analysis of the pattern in pixels for prediction of posture.
The 4D Imaging RoC replaces the overall strength of multiple chips by sensing, computing, processing, mapping, and imaging targets by compacting everything on a single RoC. The sensor is designed dynamically for scalability, flexible for the deployment of emerging features through over-the-air (OTA) software updates.
Interview With Vayyar’s Head Of Automotive
I also got an opportunity to interview Ian Podkamien, Head of Automotive of Vayyar Imaging. The interview has all the possible questions that a tech enthusiast like me can have. Here is the transcript of the complete interview: