MVTec software offers powerful methods for subpixel-accurate edge detection and line extraction. Even the finest structures are captured with maximum precision.
Facet model and Steger line detectors with an accuracy of up to 1/50 pixel.
Subpixel color edge and line detectors.
Subpixel thresholding methods.
With deep learning-based edge extraction, this technology has been further enhanced for particularly challenging situations, such as low contrast or strong noise.
Due to their intricacy, traditional inspection processes are often conducted manually and limited to spot checks. But Vista Solutions Inc. with offices in Canada, the US and Mexico has developed a breakthrough solution that changes that: the Flex-Ins…
As in many industrial areas, automation is advancing in furniture production as well. One example of this is MAB Möbel AG from Switzerland: with the support of HOMAG Bohrsysteme GmbH and MVTec Software GmbH, this furniture manufacturer automated the…
The food industry is experiencing a transformative shift in quality control, due in part to advances in artificial intelligence (AI). When combined with rule-based machine vision, AI is enabling automation of processes that were previously impossible…
In the pharmaceutical industry, strict compliance regulations require medical product packaging to be correctly labeled before delivery. To meet these requirements, the Chinese company Shenzhen Jiangrun Xuneng Technology has developed a powerful mach…
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…
Panasonic Energy manufactures automotive batteries, for which demand is increasing worldwide, at multiple sites in Japan and North America. The company recently implemented MVTec HALCON’s deep learning technologies on a large scale at its Kansas plan…
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…
Consistently high quality is an absolute must in automotive production. To ensure that welded connections in body shells meet these standards, DGH has developed an application that automatically inspects them and identifies anomalies. The MVTec HALCO…
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.
A global company needed to quickly ramp up vaccine production. Goldfuß engineering GmbH and SIMON IBV GmbH developed a robot-based solution for loading and unloading trolleys with the vaccine vials. The machine vision software HALCON ensures the seam…
The precise inspection of very small precision components, for example in watchmaking, is a challenge. Petitpierre, the Swiss specialist for high-precision technology, has developed sophisticated applications with which micromechanical components can…
High speed, precision, and reliability: These are the determining factors for battery production. To meet the rapidly growing demand for batteries, companies are developing increasingly efficient production processes. Laserax has developed a new syst…
The automation specialist AKEOPLUS has developed an innovative robotic cell for the production of satellite panels at the global space manufacturer Thales Alenia Space. The special feature: robots place the components with high absolute accuracy to a…
To identify products quickly and reliably, even in difficult circumstances, machine vision has proven its worth. The company Visione Artificiale also relies on machine vision for its system to trace aluminum bottles during production. Within this sys…
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…
Consistently automated pick-and-place activities require the reliable gripping of differently shaped and translucent objects. TEKVISA has implemented a sophisticated application that enables reliable gripping even with complex surfaces with the help…
Automation specialist INNDEO has developed a sophisticated automation solution for quality control in the packaging industry. Thanks to machine vision and deep learning technologies, high speeds and defect detection rates are no longer a problem.
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 Spanish robotics specialist Tekniker has developed a solution that allows chaotically lying parts to be automatically gripped and placed in an orderly manner. The integrated machine vision software MVTec HALCON uses 3D vision technologies to ensu…
Bosch Car Multimédia in Portugal specializes in the development and manufacture of electronic components for vehicle safety and dynamics, driver assistance, automated driving and car multimedia. The company uses the machine vision software MERLIC fro…
MVTec offers three core products that cover the full range of machine vision workflows. Use HALCON to develop advanced, custom applications, MERLIC to build solutions quickly without programming, and the Deep Learning Tool to label and evaluate training data efficiently.