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Inbolt: Giving Robots Eyes on the Factory Floor


How Inbolt Uses RealSense Depth Technology to Unlock Adaptive, Vision-Guided Automation

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The challenge

Traditional automation systems relied on mechanical fixtures and precise calibration, struggling when parts drifted, bins shifted, or lighting changed. Minor misalignments could stop entire stations, causing downtime, rejects, and costly interventions, while introducing new part variants meant redesigning hardware from scratch.

The solution

Inbolt built a perception-first platform integrating RealSense D435 depth cameras into robot-mounted housings with AI-driven software for real-time 3D vision. The system continuously re-localizes parts during execution, enabling robots to adapt in real time as bins shift or conveyors move, with perception-to-motion latency under 80 milliseconds.

The results

Inbolt’s vision-guided systems deliver measurable improvements in pick success rates, cycle times, and line reliability across automotive production environments. Recent deployments have achieved operational readiness in as little as two days, with reported ROI ranging from three to 12 months through increased throughput and reduced downtime.

3D Vision Built for Complex Factory Floors

Inbolt’s vision-guided robotics platform is deployed in more than 70 factories worldwide, using RealSense D435 depth cameras with AI-driven software. The system enables robots that continuously adapt to changing conditions on the factory floor, rather than executing pre-programmed motions.


Perception-First Architecture for Closed-Loop Control

Robot-mounted vision maintains perception aligned with the tool center point, delivering perception-to-motion latency under 80 milliseconds. The system continuously re-localizes parts during execution, maintaining tracking even when bins shift or conveyors keep moving.

Extending Asset Life While Reducing Friction

Vision-guided automation supports circular manufacturing by extending the life of existing production assets—manufacturers can retrofit perception into current lines rather than scrapping and rebuilding. This perception-driven approach reduces setup friction by eliminating the need for complex fixtures and calibration, enabling faster deployments and more flexible reconfiguration as product cycles accelerate.


“RealSense is one of the few 3D cameras that delivers both the point cloud quality we require and the high-frequency depth data needed for continuous tracking, while remaining easy to integrate and cost-effective at scale”

— Albane Dersy,
COO, Inbolt

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