Pleora's James Falconer on eBUS Edge, GigE Vision, and the Future of AI-Enabled Robotics
As machine vision, AI, and robotics continue to converge, system designers face new challenges around data transport, edge processing, scalability, and cybersecurity.
In this Vision Systems Design's VISION 2026 show floor interview with James Falconer, product manager at Pleora Technologies, we explore how eBUS Edge simplifies the integration of imaging and AI processing at the edge, enabling developers to work with trained or pre-trained AI models while streamlining the movement of image data across a network.
Falconer talks about how GigE Vision continues to scale alongside increasing bandwidth demands, from 1 Gig to 100 Gig and beyond, while evolving to address emerging cybersecurity requirements such as those driven by the EU Cyber Resilience Act.
He also takes a look at the future of autonomous manufacturing, including the integration of machine vision, AI, and robotics through synchronized data from multiple sensor types.
Learn how combining 1D, 2D, and 3D data streams can help create more adaptable and capable robotic systems and simplify system integration challenges.
Topics covered include:
- eBUS Edge and AI at the edge
- GigE Vision scalability and high-speed networking
- Cybersecurity considerations and the EU Cyber Resilience Act
- Multi-sensor data synchronization
- Machine vision, AI, and robotics integration
- Enabling autonomous and adaptable manufacturing systems.
Voices from VISION 2026 StuttgartAbout the Author
Sharon SpielmanSharon Spielman
Head of Content
Sharon Spielman joined Vision Systems Design in January 2026. She has more than three decades of experience as a writer and editor for a range of B2B brands, most recently as technical editor for VSD's sister brand Machine Design, covering industrial automation, mechanical design and manufacturing, medical device design, aerospace and defense, CAD/CAM, additive manufacturing, and more.
