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CYBERSECURITYAND CRIME PREVENTIONIntelligent Systems for helping Law Enforcement Agencies
in detecting and preventing cybercriminal activities.RESEARCH LINES -
INDUSTRY QUALITY CONTROLUsing Computer Vision and Machine Learning
for quality control and inspection in the manufacturing industryRESEARCH LINES -
Biomedical Image AnalysisResearch on Computer Vision
and Machine Learning applied to Medical Image AnalysisRESEARCH LINES
WE ARE GVIS
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).

Research Lines
our research on Biomedical Image Analysis, Quality Control in Industry
and Cybersecurity and crime prevention
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Publications
national and international conferences
and we make a technological transfer to industry.
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