#Industry News
Engineer’s Selection Guide: GMSL2 vs Ethernet Camera Interfaces
Interface selection is not just a specification comparison — it defines system behavior, from architecture and synchronization to physical layer design
In Vision AI system design, discussions often focus on model accuracy, resolution, and compute performance. However, field failures rarely originate from these layers. Instead, they emerge from how image data is transmitted, synchronized, and maintained across the system.
As multi-camera architectures become standard in robotics, automotive, and industrial inspection systems, the choice between GMSL2 and Ethernet is no longer a simple interface decision. It directly affects system stability, synchronization accuracy, and long-term deployment reliability.
This article examines the structural differences between these two approaches, the technical constraints engineers often overlook, and how interface selection influences system behavior in real-world environments.
