Case Studies

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Automation - Ensenso N

Automatic 3D recognition and marking of wooden beams

Cut from the same cloth

In terms of volume and mass, wood is the most important raw material worldwide. This natural material is also one of the oldest building materials and is becoming increasingly popular: Wood is ecological, healthy and gives a feeling of comfort more than any other building material. For example, the market share of wooden houses has doubled to 15 per cent of all houses built in Germany in the last ten years. The focus of production shifts from the construction site to the carpentry workshop. Automation is playing an increasingly important role there in order to be as cost-efficient and time-efficient as possible and thus fit for the future. In a recent example: The “Zentrum für Telematik e.V.”, based in Germany, has developed a robotics solution for the automatic marking of wooden beams for a German customer.

quality assurance - GigE uEye FA

Automated, GAMP-compliant production monitoring in the pharmaceutical industry

Avoiding product mix-ups

Digitalisation does not stop at the pharmaceutical industry. The use of new technologies not only offers many opportunities, but also poses major challenges for the industry due to the strong regulation of drug production. What is needed are reliable systems that support pharmaceutical companies in complying with legal requirements such as Good Automated Manufacturing Practice (GAMP). With GampBOX, the German company i-mation GmbH based in Rottweil has developed a Plug & Play image processing system that facilitates process optimization for manufacturers in the pharmaceutical industry as well as for suppliers (for packaging materials, equipment) in compliance with GAMP guidelines.

Laboratory automation - USB 3 uEye CP

Camera system minimizes health risks when consuming seafood products

Search for skilled survivors

Over 6 million tonnes of fish are processed in the European Union every year. They are subject to strict legal controls in order to minimize health risks for consumers. Sea fish may contain parasites that can be dangerous to humans when consuming inadequately prepared products. The risk of infection depends on the degree of vitality of the parasites, such as anisocides. Stuttgart-based technet GmbH has developed a system that uses a USB 3 uEye CP industrial camera from IDS to capture the contours and surface parameters of the parasites and determines the curvature energies of individual larvae from these data. The curvature energy is then used to establish a connection to the metabolism and thus to vitality.

Quality assurance - GigE uEye LE

Real-time quality inspection of adhesive beads with uEye LE board level cameras

Safely connected

Bonding has become a key technology in the modern automotive industry. According to the Industrieverband Klebstoffe e.V. (adhesives industry association), a car today contains around 15 - 18 kg of adhesive and runs through dozens of gluing systems during production. Bonding is becoming more and more a new alternative to welding, screwing or riveting. The reasons are simple: safety and economy. But to be able to guarantee this, a high-precision adhesive and sealant application is necessary.  The French company AKEOPLUS has developed the AkeoBI sensor that checks adhesive beads in real time directly on the production line and thus ensures 100% quality in material deposition.

Robotics - Ensenso N

Self-learning robots solve tasks with the help of an Ensenso 3D camera

Seen, stored, learned

Trying out different behaviours is one of the classic learning methods. Success or failure decides which behaviour is adopted. This principle can be transferred to the world of robots. At the Institute for Intelligent Process Automation and Robotics of the Karlsruhe Institute of Technology (KIT), the Robot Learning Group (ROLE) focuses on various aspects of machine learning. The scientists are investigating how robots can learn to solve tasks by trying them out independently. These methods are used in particular for learning object manipulation, for example for grasping objects in a typical bin picking scenario. An Ensenso N10 3D camera directly at the "head" of the robot provides the required image data.