What Makes a Camera Smart?
HOW TO MAKE YOUR CAMERA SMART
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Cameras play a significant role in our daily lives, with billions of people carrying one or more cameras with them on most days. These cameras can be integrated into smartphones, attached to athletes' helmets as GoPros or used by tech enthusiasts as stereoscopic AR/VR glasses. There are numerous examples, and we will explore the most relevant use cases with integrated image processing.
Overall, the future of smart cameras promises even more intelligent, better-connected and autonomous devices. As hardware and software technologies continue to advance, smart cameras are likely to become omnipresent, contributing to increased security and efficiency in various sectors.
In this whitepaper, we examine the factors that qualify a camera as 'smart'. In Part 1, we delve into the hardware components of cameras and present selected use cases in various key industries where smart camera solutions are deployed. Part 2 introduces the hardware solutions for edge computing offered by CODICO and focuses on the software components of smart cameras.
What You Will Learn in this Whitepaper-Series
PART 1: Hardware Components and Applications of Smart Cameras
In the first part of the whitepaper, we describe the essential hardware elements of smart cameras, which are capable of much more than simply capturing images or videos.
Thanks to integrated advanced technologies and features, these cameras are able to autonomously perform a variety of tasks with minimal user intervention. Therefore, they are suitable for a wide range of applications, as they not only fulfil expected security and surveillance tasks but can even surpass them. As a result, various industries are now benefiting from smart cameras.
PART 2: Edge Computing, Chipset Selection and Software Integration
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.