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Safest and smartest ever motoring as Arm drives Autonomous Vehicle tech revolution

Safest and smartest ever motoring as Arm drives Autonomous Vehicle tech revolution
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Image signal processor to advance vision systems for IoT and embedded markets

The Arm Mali-C55 image signal processor (ISP) is designed to support IoT and embedded applications where energy-efficient, high-quality image output is .

Arm Mali-C55: Image processing with the smallest silicon area and highest performance

The demand for image processing in future devices continues to grow exponentially. One prime example is the security camera and surveillance market, currently .

Arm introduces new image signal processor to advance vision systems for IoT and embedded markets

Today, we are pleased to share the latest results of that work with the launch of the new Arm Mali-C55 ISP, the smallest and most configurable ISP from Arm to date, already proving popular with partners including our first public licensee, Renesas.

Cloud-Based Genetic Algorithms and Computer Vision Applications

by Max Maxfield Do you recall my earlier column When Genetic Algorithms Meet Artificial Intelligence? This reflected my discovery that the chaps and chapesses at Algolux are using an evolutionary algorithm approach in their Atlas Camera Optimization Suite. The idea here is that, when it comes to creating a new camera system, each of the components lens assembly, sensor, and image signal processor (ISP) has numerous parameters (variables). This means that a massive and convoluted parameter space controls the image quality for each camera configuration. Traditional human-based camera system tuning can involve weeks of lab tuning combined with months of field and subjective tuning. The sad part of all of this is that there’s no guarantee of results when it comes to computer vision applications employing artificial intelligence (AI) and machine learning (ML). The problem is that tuning a camera system for a computer vision application is a completely different

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