Detection through cameras and lidar could be efficient but it has some drawbacks. As it requires visibility of the object within its range, thus detection is difficult for invisible and hidden objects. Radar could be an ideal choice for overcoming these drawbacks but it struggles with distant objects as it is incapable of the corners and long-range detection. Hence Reality AI’s Automotive SWS comes with sound-based detection for addressing these issues.

Automotive SWS focuses on passenger protection in detecting all threats by monitoring sound waves. The sound waves detection occurs through an array of microphones that acts as peripheral for the processor. This enables the system to discover emergency vehicles, cars, motorbikes, bicycles, and other objects. The system alerts the driver and identifies the direction from where the target is approaching.

Reality AI’s system architecture, sample hardware, and firmware for the Automotive SWS come with a customized development software for Automotive Tier 1 and Tier 2 providers for creating their own versions of the system. It uses machine learning and AI algorithms on the data points collected by the external microphone arrays on the automotive.

Infineon Technologies MCU And Microphone In Automotive SWS

Although, the company has worked with Hagiwara Electronics Co Ltd. and DENSO Corporation to build functionalities and features for the system specifically for the automotive market. Now, it is partnering with Infineon Technologies to build a more efficient system. The system features Infineon AEC-Q103 XENSIV™ MEMS microphones (IM67D130A) for enhancing the signal quality for computations and processing in further steps. These microphones work as an interface to the Infineon AURIX™ microcontroller (MCU) to provide efficient safety ASIL D performance.

Discussing further, the MEMS Mic Array is integrated into components or placed on the roof supports flexible geometry and placement to detect sound waves. The earlier version of the system had 4 components placed on the top of the roof. Infineon AURIX™ MCU operates on inexpensive hardware for allowing AI detection and localization.


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Muhammad Bilal

I am highly skilled and motivated individual with a Master's degree in Computer Science. I have extensive experience in technical writing and a deep understanding of SEO practices.

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