Edge Computing for Machine Vision: Real-Time Image Processing & Industrial Efficiency | Expert Panel скачать в хорошем качестве

Edge Computing for Machine Vision: Real-Time Image Processing & Industrial Efficiency | Expert Panel

How is edge computing transforming real-time image processing in machine vision? This on-demand panel discussion, recorded on 11 June 2025, brings together industry leaders to explore how shifting processing closer to the source is unlocking new levels of performance, speed and intelligence in modern vision systems. As industries demand faster decision-making, lower latency and scalable automation, edge computing has become a critical enabler. From factory floors and robotics to quality control and embedded inspection systems, edge architectures allow companies to process more data, more efficiently — without relying on the cloud. This webcast reveals the strategies, technologies and real-world deployments shaping the next generation of machine vision. 🌟 About This Panel On-demand webcast: Embracing edge computing for image processing Online panel discussion | Driving efficiency in image processing Machine vision systems are evolving rapidly — and the shift to the edge is at the heart of this transformation. By processing images where they are captured, companies can reduce latency, minimise bandwidth usage, strengthen data security and achieve instant responsiveness. This panel delivers actionable insights for anyone designing, deploying or upgrading machine vision systems with edge capabilities. 🎯 Who Should Watch This Webcast? Perfect for professionals working in: Systems integration Machine building and automation engineering Industrial machine vision Technical and operations management Robotics, embedded vision and AI-enabled inspection R&D teams exploring edge architectures Whether you’re implementing edge computing today or planning your future roadmap, this session will equip you with essential knowledge. 🧠 What You Will Learn ✔️ Fundamentals of edge computing and why it is a game-changer for image processing ✔️ How to design and deploy edge-ready machine vision systems, from architecture to hardware ✔️ Industrial use cases, showcasing edge computing in real-world production environments ✔️ How to overcome challenges, including connectivity constraints, scalability, integration and hardware optimisation ✔️ Roadmaps for future-proofing vision systems through edge-AI acceleration, local inference and hybrid architectures This discussion provides both strategic perspectives and hands-on technical guidance. 🚀 Why Watch? Stay competitive: Understand how industry leaders are leveraging edge processing to build faster, smarter vision systems Boost performance: Learn how edge architectures reduce latency, cut data loads and support real-time analytics Gain expert insights: Engage with some of the most experienced innovators in edge AI, hyperspectral imaging and embedded systems Position your organisation for the future: Move from cloud-reliant systems to efficient, resilient, responsive edge-enabled vision infrastructure 🎙️ Featured Speakers 🔧 Giuseppe Garcea Co-Founder & HW R&D Director – Digital System, Axelera AI With more than 25 years of semiconductor experience, Giuseppe has contributed to industry-defining projects at Intel, Magma Design Automation and Bitfury. At Axelera AI, he built the company’s silicon organisation and led multiple tape-outs within three years. His expertise spans AI accelerators, 5G systems, mixed-signal hardware, and advanced silicon development, offering deep insight into optimising hardware for edge-based image processing. 🎥 Faisal Kamran Principal Technology Analyst, Sony A recognised member of the Photonics100 2025, Faisal’s work spans hyperspectral imaging, quantum technologies, AR/VR, sensing and sustainable innovation. He currently leads development of a hyperspectral imaging camera with unmatched spatial and spectral resolution — a major advancement for machine vision, R&D and industrial analytics. His cross-disciplinary perspective blends technical excellence with commercial strategy, making him a key voice in edge-enabled imaging. 💡 Edge Computing: The Future of Machine Vision As organisations push for higher throughput and greater autonomy, edge computing delivers the capabilities required to: Perform real-time inference directly on devices Reduce data transmission costs Improve system resilience in low-connectivity environments Enable advanced analytics closer to the production line Support AI-accelerated inspection and automation workflows Edge-enabled machine vision represents a step change in industrial intelligence — and this webcast gives you the tools to embrace it. 📢 Want to Sponsor a Future Event? Contact our sales team at [email protected] to learn more about sponsorship opportunities.