Edge Computing, Chipset Selection and Software Integration
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In the second part, we present hardware solutions for edge computing in cameras, assist in selecting the right chipset and introduce SoCs (System on Chips) that are particularly suitable for image capture and processing in cameras.
Following this, we focus on the importance of computational power crucial for real-time applications such as computer vision and natural language processing. Additionally, we explore the software encompassing the operating system, firmware, as well as specialised algorithms for artificial intelligence, enabling the capture, analysis and appropriate response to image data.
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PART 1: Hardware Components and Applications of Smart Cameras
Go back to part 1 of the Whitepaper Series where the essential hardware elements of smart cameras, which are capable of much more than simply capturing images or videos, are explained. What tasks can be done? What applications are suitable?