Artificial Vision

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Incorporating visual data into the digitization of processes and decisions

Artificial vision is based on the development of algorithms and techniques that allow machines to interpret and understand images and videos in a similar way as humans do. Using applications for object and person recognition, anomaly detection in industrial processes, autonomous vehicle driving, etc. with the aim of creating intelligent systems capable of understanding the world through visual information captured by cameras and sensors.

Technological lines

Artificial Intelligence / Deep Learning

Artificial Intelligence (AI), Deep Learning, Knowledge Management, Multi-Agent Systems, Intelligent Agents, Case-Based Reasoning, Plan-Based Reasoning, Deliberative Reasoning, Artificial Neural Networks, Genetic Algorithms, Data Modeling, Data Mining, Knowledge Extraction, Decision Support Systems, Recommendation, Machine Learning, Machine Learning

Construction monitoring systems

Construction systems with 3D laser measurement and advanced monitoring technologies

Forest traceability

Digital solutions for the traceability of forest resources from harvesting to harvesting

Intelligent artificial perception systems

Intelligent artificial perception solutions tailored to each sector

Machine vision and collaborative robotics solutions

Advanced technological solutions through machine vision and collaborative robotics

Machine Vision Research Laboratory

Artificial vision recording and support services

Robotic technologies applied to the construction industry

New applications for efficient, safe and quality construction processes

Robotics: Multiagent Systems and Virtual Organizations

Robot development, Infrastructure, Advanced technology, Innovative solutions, Everyday life, Industrial processes, Complex challenges, Multi-agent systems, Virtual organizations, Robot collaborations, Ecobots, Industrial environments, Safe and efficient interaction, Repetitive, heavy or hazardous tasks, Intelligent and sustainable future