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Automotive imaging ecosystem design considerations

13th August 2019
Lanna Cooper

In this video, Steve Harris, Senior Manager for Automotive Ecosystems at On Semiconductor will explain automotive imaging ecosystem design considers on the road.

On Semiconductor understands how tough design engineers jobs are in the automotive industry, the company knows that imaging applications need to perform in challenging conditions and must operate 100% of the time. So the company puts its image sensors through tough real world tests so that engineers can have confidence in the products from On Semiconductor. 

An automotive imaging application does not operate as a standalone component. These applications are a combination of solutions that form a comprehensive ecosystem, they must operate well together to ensure optimal performance. An automotive imaging ecosystem is very complex to he many factors, with high speed cabling and varying optics for application camera usage type, various SOC GPU FPGA functions and horsepower, as well as strigent software requirements.

On Semiconductor works closely with over 50 other companies providing a robust partner ecosystem these partners include vendors and optics interfaces, cabling SOCs, GPUs, FPGAs and software.

The company strives to optimise system performance and develop tools that reduce engineers efforts and improve time to market. 

The image sensor operates only as well as the light that comes into the sensor. And what makes automotive imaging unique is that based on the position and function of the sensor vehicle optics requirements may vary greatly, a single sensor may have four or five application types including different locations on the vehicle. This requires a range of different field of views filters and optics composition whether the glass plastic or hybrid before our image sensor even begins sampling.

For more information, watch the video below.

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