ANALYSIS: EMBEDDED VISION
What factors should be considered when integrating multiple cameras into your embedded vision device?
Maharajan Veerabahu, co-founder of e-con Systems, highlights the benefits and challenges in deploying multi- camera vision solutions
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ulti-camera systems enable some of the most cutting-edge and transformative embedded
vision solutions for technologies including autonomous mobile robots, airport kiosks, delivery robots, sports broadcasting devices, smart traffic systems, etc. These set-ups enable enhanced visual data capture and analysis, making them a pressing component of future- ready technology.
What are multi-camera set-ups – and how do they work? Multi-camera set-ups are routinely designed to power both synchronised and non-synchronised systems. In synchronised systems, multiple
cameras capture images simultaneously, enabling coherent data collection and analysis. This is vital in use cases where exact timing is essential. For example, in sports broadcasting, multiple strategically placed cameras are synchronised precisely to capture various angles and perspectives of the action. A video switcher allows real-time selection of camera feeds, while graphics, commentary, and instant replays enhance the viewer experience. The final
Synchronous multi-camera systems are used aboard autonomous vehicles and robots
‘Integrating multiple cameras can offer amazing benefits, but it also comes with its fair share of challenge’
broadcast is transmitted to networks or streaming platforms, delivering immersive sports coverage. After the live broadcast, post-production teams enhance footage and create highlights for on-demand viewing, ensuring a comprehensive sports broadcasting experience. On the other hand, non-synchronised
Synchronous multi-camera systems are also used in sports broadcasting to precisely capture various angles and perspectives of the action
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systems involve cameras that capture images independently. While this provides more camera placement and configuration flexibility, it may require additional processing to align and synchronise the captured data. This approach is often
used when real-time synchronisation is less pertinent. For example, multiple cameras are deployed in airport kiosks, each with a specific task. These include scanning irises, identifying faces, and examining documents – all of which may occur near the same location, but require different cameras. These cameras work autonomously, without the need for synchronisation, as their operations are distinct and do not depend on each other. Choosing between synchronisation and non-synchronisation depends on your application’s requirements and constraints,
DECEMBER 2023/JANUARY 2024 IMAGING AND MACHINE VISION EUROPE 21
e-con Systems
e-con Systems
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