Sensorics, Edge Computing and IoT

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Real-time data captured and processed on the shop floor for rapid decision making

Innovation in sensor technology, edge computing and the Internet of Things (IoT) allows the development of new applications for the connection, monitoring and control of devices and sensors in real time. Applied in a wide variety of fields, it has a great exponent in industrial processes (IIoT), but also finds application in energy management, health or environment. It allows the capture of information in real time through connected sensors (IoT), and the processing and local analysis (edge computing) of data from these devices and sensors to make faster and more efficient decisions.

Technological lines

Applications and Firmware

Development of custom firmware with applied electronics and artificial intelligence

Applied Eco-hydraulics

Sustainable use of natural fish resources and their ecosystems

Applied electronics

Design and prototyping of advanced electronic boards and devices

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

Conservation and biodiversity

Conservation of multifunctional habitats of community interest.

Digitalization of environmental planning and management.

Development of tailor-made digital solutions for the forestry sector

Electronic prototyping research laboratory

Software and hardware design and testing services for electronic prototypes

Food quality, safety and sustainability

Advanced rapid sensing applications for food quality and safety

Forest-based foods

The forest environment as a natural and sustainable food source

Forest traceability

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

Implementation of digital twins in the mining industry

Intelligent energy management

Internet of things: smart connected devices

Internet of things (IoT), Smart devices, Connectivity, Smart spaces, Quality of life, Efficiency, Crop and livestock monitoring, Industrial risk prevention, Renewable energy, Medical diagnostics, Early detection of medical crises, Data analytics, Machine learning, Artificial intelligence, Informed decision-making

Lean Productivity Improvement and Digital Transformation

Consultancy for improving efficiency in production and business processes

Non-timber forest materials

Valorization of the forest environment as a source of food and raw materials.

Optimization of production processes through digitization

Implementation of advanced predictive maintenance and optimization services for industry 4.0

Plant health and biocontrol of forest pests and diseases

Identification and remediation of pests and diseases in forest systems.

Software Engineering

Development of customized applications for the capture and use of process and product data.