K|Lens GmbH
"Simple | Robust | Fast"
German machine vision startup using light field sensors and multiview AI for inline industrial quality inspection in automotive, aviation, and medtech.
K|Lens GmbH is a German machine vision company headquartered in Saarbrücken, Germany, founded in 2016 as a spin-off from the Saarland Informatics Campus. The company specializes in AI-powered optical inspection systems built around proprietary light field sensor technology. Its core innovation is a compact light field sensor that captures nine simultaneous perspectives in a single shot, generating depth maps and 3D point clouds from standard industrial cameras without additional hardware.
K|Lens offers two primary product lines: Vision Components (modular building blocks for custom vision systems) and Complete Vision Systems (task-optimized turnkey inspection solutions). Both leverage the company's Multiview AI, which processes depth, spectral, and polarization information to detect surface defects, dimensional anomalies, and assembly errors with high accuracy and traceability.
Target industries include automotive, aviation, fastening and assembly, machining, medical devices, and electronics. The company positions its systems for inline quality control on production lines, replacing slower, less robust conventional camera setups. K|Lens provides a Business Case Calculator on its website to help prospects quantify ROI.
The company is a member of VDMA (German Mechanical Engineering Industry Association) and has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement no. 954933. Its current website domain is k-lens.ai (redirected from k-lens.de). Headquarters: Am Römerkastell 4, 66121 Saarbrücken, Germany. Phone: +49 681 968 199 0.
Primary type & automation activities this supplier delivers:
Vision Components
Modular light field sensor building blocks for integrating multiview depth-sensing into custom industrial vision systems.
Complete Vision Systems
Turnkey AI-powered optical inspection systems for inline quality control in automotive, aviation, and medical manufacturing.
Contact K|Lens GmbH
WEBSITE
https://k-lens.ai/PHONE
+49 681 968 199 0HEADQUARTERS
Germany
Company Facts
Founded
2016
Primary Role
Component Supplier
Company Size
-
Primary Region
Europe
Annual Sales
-
Funding Stage
-
Funding Total
-
Sharpa Launches Three Innovative Products at IROS to Enhance Robotic Precision
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Robotic Manipulation Tactile Sensing Haptic Technology Robotic Hands
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Robot Training Data 4D Data Collection Industrial Robotics Embodied Intelligence Precision Robotics
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Niantic Spatial Flexion
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Embodied Intelligence Physical AI Robotics Machine Learning
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Robotics Computer Vision AI Obstacle Detection
RobotToday Weekly September 21 – 25, 2026
Cognex buys RealSense, Qualcomm acquires PickNik, the IFR counts 5 million factory robots, AGIBOT deploys 300 robots at Chimelong, and Tekever raises $580 million.
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Robot Cameras Obstacle Avoidance Consumer Robotics Video Technology
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Robotics Generative Learning AI Embodied Intelligence
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Embodied Intelligence Robotics Technology Smart Factories Healthcare Robotics
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Embodied Intelligence Artificial Intelligence Robotics Machine Learning
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WRC 2026 Exhibitor Map: 248 Robotics Companies Mapped
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Handbook of Marine Craft Hydrodynamics and Motion Control Thor I. Fossen — RSF Specialist Shelf · Book S1 of 6
Added mass, wave loading, DVL navigation: the marine GNC reference for USV, ROV and AUV service engineers. The hardest book on the RSF list, 5/5.
Small Unmanned Aircraft: Theory and Practice Beard & McLain — RSF Specialist Shelf · Book S2 of 6
Beard & McLain derive the fixed-wing autopilot the RSF Top 10 never does: successive loop closure on roll, pitch, altitude and airspeed. 4/5.
Reinforcement Learning: An Introduction Richard S. Sutton & Andrew G. Barto — RSF Specialist Shelf · Book S5 of 6
“It's the AI” will not satisfy an OEM support call. Sutton & Barto turn that into something a service engineer can investigate. Free PDF, Part I 4/5.
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The reference that treats planning as a subject in its own right: configuration space, sampling-based methods, RRT. Free online, dual difficulty 4/5-2/5.
