Machine vision is more than a camera or an AI model; it's a complete system, from capturing useful data to turning it into action.

In this edition of Machine Vision Insider, we explore that system at three scales: the sensors, networks, and edge processing behind autonomous machines; vision-enabled picking and uptime in automated warehouses; and AEye's Apollo LiDAR, adapted for autonomous navigation on the Moon.

Different applications with a shared engineering challenge: to build reliable perception that works when conditions, and requirements, change. 

We hope these stories offer useful ideas for your next engineering or integration project. Let us know at [email protected]. Of course, you can always reach me directly at [email protected].

Until next time, stay curious.

Sharon Spielman, head of content
Vision Systems Design