Description :

In the latest episode of e-con Systems' Vision Vitals podcast, we step into real deployment zones where AMRs handle dust-filled aisles, glare-heavy factory floors, vibration, and crowded warehouse routes. These robots rely on cameras to keep navigation stable when theory meets the chaos of production sites.

See how exposure tuning, HDR, global shutter capture, depth sensing, and synchronized multi-camera layouts support perception during rapid maneuvers. Explore how GMSL2 links, TintE ISP calibration, rugged housings, and NVIDIA Jetson-ready drivers keep data steady under heat, EMI, and long-duty cycles. And learn how vision strengthens warehouse automation, patrol robots, telepresence, facility service units, and customer-facing delivery roles, from first prototypes to scaled AMR fleets.

Transcription :

Host:

Welcome to Vision Vitals, e-con Systems' insightful podcast on everything embedded vision-related.

In today's episode, we shift from lab concepts to the floor of real deployment — where Autonomous Mobile Robots face the toughest conditions.

Many AMR projects look promising during design but struggle once they meet factory dust, uneven lighting, or network interference. The gap between simulation and reality is where vision plays its most demanding role.

To find out how camera systems help bridge that gap, we're joined by an expert from e-con Systems.

Good to have you here.

Speaker:

Glad to be part of it. Real-world deployment is where engineering decisions are tested. Cameras that look perfect on paper can behave differently when exposed to heat, vibration, or glare. e-con Systems works with customers across industries to solve those practical challenges before full-scale rollout.

Host:

Let's start there. What are the most common issues AMRs face during deployment?

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