Object recognition is fundamental to almost every machine-vision-based automation task. Only when an object is recognized can it be assigned to a class, inspected, counted, or processed further. In many applications, knowing what an object is matters more than knowing its exact position. This information is used for classification (e.g., apple vs. orange), counting, completeness checks, or routing in automated workflows.
Detecting weeds for selective herbicide application in agriculture
Checking correct fill levels of biscuit bags in food production
Commissioning goods in logistics and automated warehouses
Sorting and packing pills and medical products in the pharmaceutical industry
Verifying the correct loading of workpiece carriers in automotive production
Ensuring proper PCB assembly in electronics manufacturing
Classifying bacteria cultures in healthcare and science
Sorting materials (plastic, wood, metal, etc.) in the recycling industry
ACCURATE & ROBUST
Object recognition technologies in our software
MVTec software offers a comprehensive and scalable set of technologies for 2D and 3D object recognition. These technologies enable accurate, robust detection and classification across diverse lighting, texture, geometry, and environmental conditions.
Do you want to know if we offer the right solution for your industry? Send us your software application design and our experts will check it. Within one week you will get a proposed solution – including, if useful, an example program.
The pharmaceutical company Aspen is improving the quality inspection of filled ampoules with the MVTec HALCON machine vision software and the consulting and technical support services provided by MVTec. With deep learning methods, the company has sig…
At Reutlingen University, Professor Arnd Buschhaus has been integrating MVTec HALCON into the teaching curriculum since 2018. HALCON is used extensively in courses related to robotics and machine vision, providing students with practical experience i…
A variety of defects can occur during battery production. Averna has developed a method for the automated inspection of batteries that reliably detects all conceivable defects. Here, the machine vision software MVTec HALCON plays a key role.
The Dutch company PackCheck BV ensures packaging quality in the food industry with a modular solution. Part of the solution is the machine vision software HALCON from MVTec Software GmbH. This enables the company to increase the efficiency of packagi…
Machine vision offers enormous advantages for quality control applications. High accuracy and speed as well as high flexibility and availability are important for practical use. K&S Anlagenbau GmbH has implemented such an application for the beverage…
The company Cretec Cybernetics implemented a robot-based depalletizing solution in order picking using the MVTec HALCON machine vision software. The application is able to recognize stacked boxes on pallets and depalletize them accordingly.
An intelligent, database-based image recognition system supports order picking in automotive logistics. It shows staff the correct component, uses cameras to verify that packaging is ready for shipment, and enables seamless documentation. The solutio…
Anlagenbau Habeck GmbH & Co. KG has developed a robot-based pick and place machine for the food industry based on machine vision. Thanks to the MERLIC machine vision software from MVTec Software GmbH, the robot reliably picks up unsorted objects of t…
Using MVTec MERLIC 5 with deep learning, an Integration Partner built an automated inspection system for toast packaging. Two cameras detect missing clips or misaligned wrapping, and MERLIC automatically classifies and rejects defective items — reduc…
T3LAB / VisionLab implemented MVTec HALCON to reduce production rejects and improve quality control in textile manufacturing. The system detects cutting lines in real time, automatically adjusts cut coordinates for production tolerances, and employs…
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 precisi…
In recent years, rooms with intelligence are studied. This kind of rooms is becoming important not only for medical or welfare use, but also at offices or ordinary houses. Obviously, the man-machine interface to communicate human intention is a subst…
The interdisciplinary HERON project aims to find images in digital libraries or large archives without detailed domain knowledge. Initially applied to heraldry, the methods can also be used in medical imaging or trademark collections. HERON uses inno…
Imagine that you wear varifocal glasses and need new ones. You go to an optometrist and, without time-consuming adaptations, measuring or trying on frame after frame, you look at yourself in a mirror and - voila! - your chosen frame is on your nose.
The Japanese company Kett Electric Laboratory researches, develops and sells agricultural measuring devices, among other things. For a company that offers rice, they developed an automated inspection system for rice grains in cooperation with LINX Co…
The Swiss Safety Center AG, a MVTec Certified Integration Partner, is a member of the SVTI Group and thus part of a center of excellence in technical safety and risk management. They offer a comprehensive portfolio of services for industry, retail an…
Robotics & Vision Technologies (RVT) developed an automated quality control system for a Spanish frozen dough and bakery manufacturer using MVTec HALCON. Up to 140 products per minute are inspected in 2D and 3D and classified with deep learning, enab…
Vision Partners developed an automated crate classification system for return logistics using MVTec HALCON. The system identifies crate types in real time with two GigE cameras and directs them to the correct conveyors. Robust object detection drasti…
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 inspec…
Pose Automation GmbH developed a bin-picking robotic cell for handling catheters in veterinary medicine. Using MVTec HALCON, the system detects part position and orientation via a 3D camera, grips two pieces per cycle, and minimizes stock and scrap.…
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…
The Wageningen University & Research (WUR) in the Netherlands developed a greenhouse harvesting robot, which is able to pick ripe crops. The shape- and color-based detection algorithm for this task was implemented using MVTec HALCON.
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 det…
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…
Daheng Image Vision uses a line-scan vision system with two Teledyne DALSA cameras and MVTec HALCON to inspect color prints on conveyor belts at 300 m/min. The system reliably detects ink spots, embossing errors, and misregistration, enabling compreh…
NP Plastics in the Netherlands manufactures small plastic rings used in binder closing mechanisms. To increase throughput and improve quality, the company deployed a machine vision system with two AVT FireWire cameras, LED illumination, and HALCON so…
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.
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…
Machine Vision Technology Ltd. developed an automated inspection system using MVTec HALCON to check tablets and capsules for broken pieces, shape errors, and color deviations. Three Basler cameras and a dark-field lighting setup ensure precise detect…
Envisage Systems developed an automated inspection system using MVTec HALCON to assess the quality of surface-mounted resistors on ceramic substrates. The system captures images with a Baumer camera, detects defects such as scratches or cracks, and m…
