Industry 4.0
The transition to the smart factory requires a more integrated and efficient view of production, using sensing, automation, or communication technologies, which allow the increase of the volume and quality of available information, in order to define more optimized actions. At INEGI we support companies, from the testing of prototype solutions, to the analysis and definition of technological roadmaps for digital transformation.
Offer
◖Artificial vision solutions for inspection, measurement and quality assurance
◖Diagnosis and roadmapping
◖Sensors, IoT, and other connectivity solutions
◖Optimization and control of manufacturing processes using artificial intelligence
◖Artificial vision solutions for inspection, measurement and quality assurance
◖Process optimization and self-regulation
Creating Value
News
EIT Manufacturing relies on INEGI to train professionals for digital transformation in the industry
Offer technical training in line with the reality of the European productive sector, create personalized learning...
News
CHETO invests on advanced monitoring and predictive maintenance with support from INEGI
CHETO challenged INEGI to support the integration of a central computer platform and a sensor module to be applied...
News
4.0 Technologies to transform classrooms
Nautilus challenged INEGI to meet the technological challenges inherent in the adoption of 4.0 technologies in the...
News
PECOL and INEGI create a cold forging process that guarantees the quality of automotive components and requires less raw material
PECOL Automotive, a company specialized in the production of steel parts for the automotive industry, has joined...
News
Sensorized isolators allow real-time management of the high voltage electrical network
Given the rapid modernization of electricity distribution networks, INDISOL is once again joining forces with INEGI...
News
Glartek and INEGI together to create ‘Industrial Internet of Things’ platform and non-invasive sensors
The solution is based on 'Industrial Internet of Things' (IIoT) technology and aims to speed up industrial maintenance.
Core Team
Team Leader
Ana Reis
Daniel Pina
Luís Carlos Moreira
Ricardo Cardoso
