Intelligent Systems for helping Law Enforcement Agencies in detecting and preventing cybercriminal activities.
RESEARCH LINES
INDUSTRY QUALITY CONTROL
Using Computer Vision and Machine Learning for quality control and inspection in the manufacturing industry
RESEARCH LINES
Biomedical Image Analysis
Research on Computer Vision
and Machine Learning applied to Medical Image Analysis
RESEARCH LINES
WE ARE GVIS
Group for Vision and Intelligent Systems
The Group for Vision and Intelligent Systems (GVIS), formerly known as VARP, of the University of León conducts research in a number of basic and applied areas since 2003. In 2017 we were acknowledged by the regional government of Castilla y León as a Consolidated Research Unit (Unidad de Investigación Consolidada – UIC) along with research group TAFI (Advanced Technologies of Manufacturing and Inspection) from the University of León.
We are interested in Computer Vision, Machine Learning, Deep Learning. Some more specific examples are image segmentation, texture analysis, shape analysis, object recognition, face recognition, age estimation, perceptual hashing, or natural language processing. We have applied those topics to medical and veterinary applications (e.g., boar semen assessment, carcass lamb flesh classification or classification of healthy tissues), Industry Quality Control (e.g. to estimate the roughness of surfaces or to estimate the wear level of cutting tools for milling processes). In addition, we are currently working on applications for cybersecurity and cybercrime prevention, focused on the data extracted from the Darknet and private data provided by Law Enforcement Agencies (LEAs).
Find out the topics we have applied (or we are still applying) our research on Biomedical Image Analysis, Quality Control in Industry and Cybersecurity and crime prevention
Open in TwitterGVIS Research group@gvis_unileonRT @jcyl: 📲 #RadarCOVID es una APP que funciona de forma anónima y ayuda a detectar contactos de riesgo con personas COVID+
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