Industrial machine vision: four Ethernet cameras with Microchip and NVIDIA

Adding machine vision to an industrial machine means building a reliable chain between what happens on the part and the control system’s decision. Images must show the relevant detail, arrive in time, be processed, and remain associated with the correct component. Once a system uses two, four or more cameras, connectivity, synchronisation and data management become as important as the recognition algorithm itself. A recent US product release makes this topic especially timely. On 11 August 2026, Microchip announced Revision 2.0 of its PolarFire FPGA Ethernet Sensor Bridge : a board designed to connect sensors and cameras to NVIDIA processing platforms over Ethernet using Holoscan Sensor Bridge technology. Microchip states that the new revision supports up to four cameras, reduces the form factor by 60% compared with the first generation, and is offered at a lower price. For machine builders, the relevant opportunity is a multi-camera acquisition path on which to evaluate quality inspection, assembly verification and robotic-vision functions. The starting question is practical: which inspection do we want to automate, and which images are needed to perform it at the speed of the machine? The scenarios and calculations below are design-assessment examples. Product characteristics come from the linked official sources. At a glance The new Microchip bridge provides up to four camera inputs and two 10GbE SFP+ ports. In the architecture described here, the FPGA acquires and transfers data while the NVIDIA platform runs vision and AI processing. Resolution, pixel format and frame rate determine the required bandwidth. Industrial results also depend on lighting, synchronisation and integration with the machine controller. The assessment must cover the actual compatible hardware and software versions. What changes with the PolarFire Ethernet Sensor Bridge Rev 2.0 The MPF200-ETH-SENSOR-BRIDGE-R2 product page describes a platform based on a PolarFire MPF200T FPGA, with a camer