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UPC ecoRacing – The award-winning Formula Student team

An award-winning student team of the Polytechnic University of Catalonia (UPC) designs, builds, and races autonomous electric vehicles. Numerous different fields, like industrial or aerospace engineering, design, or mathematics contribute to reach one goal: Facing real-world engineering projects and tackle them hands-on. Besides engineering skills, all students learn how to manage projects by supporting marketing, financial, or logistic departments.

Robot Lab – Fondazione Brigatti & Camerani Pintaldi

A unique project empowers the next generation to use the MVTec HALCON library for their very first machine vision applications. Mr. Remo Sala, Assistant Professor at the Politecnico di Milano for the Robot Lab – Fondazione Brigatti & Camerani Pintaldi, gives us insights during an interview how the MVTec on Campus program contributes to this initiative.

A fully automated production system for higher throughput and improved quality

MSTVision GmbH developed a fully automated micro-assembly system for HUBER+SUHNER Cube Optics AG handling high-precision glass and metal components. Using MVTec HALCON, parts are identified, positions determined, and features measured with µm precision. The solution increases throughput, reduces rejects, and enables complex process control for challenging image content.

Flexible pick & place application for tool manufacturer Festool

Attentra GmbH, MVTec Certified Integration Partner, implements sophisticated solutions in the fields of machine vision, software development, optical inspection systems and robotics. They develop flexible, intelligent and turnkey complete systems for automation and quality assurance with combined hardware and software. Their portfolio also includes standardized products for pick & place and feeding systems with camera, software, shaker and robot.

Fast and robust bulk code reading with MVTec HALCON

Strelen Control Systems GmbH uses MVTec HALCON for parallel, robust reading of data matrix codes on prescription medicines to comply with the EU Falsified Medicines Directive. The system reads large volumes quickly and reliably, reduces manual inspection effort, and allows flexible adjustments for different customer requirements.

Fully automated dispense and labeling system for pharmaceutical products runs with MVTec HALCON

Crave Technical built an automated dispensing and labeling system for pharmaceuticals using MVTec HALCON. HALCON performs object detection, code reading, and hand-eye calibration for robots that identify, pick, and label bottles and boxes – ensuring speed, precision, and full integration.

Always on the right track: Machine vision saves time and money in rail vehicle maintenance – PSI Technics

PSI Technics GmbH has developed a system that can be used to automate the maintenance of multiple-unit high-speed trains through visual inspection of the rooftop. The MVTec HALCON standard machine vision software ensures that defects are reliably detected.

LINX performs deep learning applications with MVTec HALCON

LINX uses MVTec HALCON for deep-learning-based object detection: In a Japanese market demo with about 100 training images per class, the system reliably detects electronic components in around 25 ms per image – an efficient solution when traditional rule-based recognition fails.

Science Project: Proprioceptive Industrial Robot Gripper – Kinemetrix

Kinemetrix supported a high-school science fair project that developed a proprioceptive robotic gripper on a 3-axis gantry with a sheet-of-light 3D setup. Using MVTec HALCON for surface-based 3D matching, the gripper can detect and handle parts autonomously.

Machine vision validates printed text – PHILRO Industrial Ltd.

PHILRO Industrial Ltd. uses a vision-based inspection system with MVTec HALCON to detect printing errors on margarine packaging and automatically remove defective products. Basler cameras and sensors check text lines for readability and completeness.

Machine vision checks ice cream – PHILRO Industrial Ltd.

PHILRO Industrial Ltd. developed a vision-based inspection system using MVTec HALCON to check ice cream products for shape defects, breakages, or incomplete pieces. The system enables rapid identification and removal of defective products directly on the production line, enhancing product quality and minimizing waste.

Vision-based robotic system stacks tile slabs - Machine Vision Technology

Machine Vision Technology Ltd. developed a vision-guided robotic system using MVTec HALCON to automatically stack tile slabs onto pallets. The system analyzes the size, color, and shade of each slab, detects product changes, and optimizes palletizing in real-time. This automation enhances production efficiency and flexibility.