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The Arm Mali-C55 image signal processor (ISP) is designed to support IoT and embedded applications where energy-efficient, high-quality image output is .
The demand for image processing in future devices continues to grow exponentially. One prime example is the security camera and surveillance market, currently .
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.
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