The system-on-chip (SOC) of the mobile phone’s camera is primarily controlled by the ISP (Image Signal Processor). The front-end image sensor’s output signal will undergo post-processing by an ISP (Image Signal Processor), including noise reduction and HDR correction.
The ISP is also capable of implementing features like automatic scene identification and face recognition. Even though the image signal processor can edit the proofs to improve their quality, different chips or different items made with the same chip have glaringly varied shooting capabilities. This is due to ISP’s ability to be programmed.
The Global Automotive ISP chip market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Arm launched a brand-new image signal processor for automotive to speed up the adoption of automation and driver assistance systems.
Advanced Driver Assist Systems (ADAS) are now a feature that buyers demand as standard in all new cars, having evolved from being a luxury feature. Parallel to this, the lack of available chips around the world is bringing home to the automotive industry how important silicon and electronics are to the creation and market placement of its goods.
Autonomous emergency braking, lane departure warnings, and other ADAS applications are becoming more and more important to drivers, and many of these functions are made possible by cameras positioned all around the vehicle.
The amount of computing power required to effectively and safely convert the high volume of image data into outputs that satisfy the various needs for machine and human vision grows along with the quantity and sophistication of vehicle cameras.
In order to address this, they have added the Mali-C78AE ISP to their portfolio of IP specifically engineered to suit the performance and safety standards of automotive applications. New image processing techniques will be required by the industry to enable new capabilities in ADAS and autonomous driving.
For a variety of human and automated vision applications, ADAS features employ several cameras. In order to visually present information to the driver and assist them in making judgements while parking, surround view systems, for instance, utilise data from cameras placed all around the car.
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