NEADVANCE is a technological based company working in the development of innovative solutions on artificial vision and machine vision. Started in 2001, based in Braga, grows in a consistent way due to a forward-thinking and innovation oriented attitude and high level of dedication to clients. It offers a highly trained professional with large experience team, aiming to answer to any challenge. The company is ISO 9001:2008 certified, thus fostering high level of quality control in order to assure the more economic and innovative solutions.
ABOUT Manuel João Ferreira
Manuel J. Ferreira received the B.Sc. degree in electronics and telecommunications from the University of Aveiro, Aveiro, Portugal, in 1992, and the M.Sc. degree in industrial informatics and the Ph.D. degree in industrial electronics from the University of Minho, Guimarães, Portugal, in 1996 and 2004, respectively. Between 1992 and 1999 he was a researcher at INESC Porto and Professor at the Universidade Lusíada. In this period he developed his Master thesis resulting in a system installed in four different countries (Portugal, Spain, Brazil and Australia) in several companies. From 1999 and 2001 was the technical coordinator of the computer vision area at IDITE-Minho research Institute. Since 2001 until 2012 he was Professor in the Industrial Electronics Department, University of Minho, mainly teaching in the fields of image and signal processing, and working with several companies helping them to specify and develop a large number of computer vision solutions for different industrial sectors, such as: plastic, textile, leather, automotive, beverage, agro-food, robotics and multimedia. From 2008 to 2012 was the coordinator of the computer vision group of CCG research institute. From 2012 to 2017 was the R&D coordinator at ENERMETER for the computer vision issues. Currently he is the head of Research, Development & Innovation department at NEADVANCE. His main research interests include image processing, image analysis and artificial intelligence. Since 1992 he has been working mainly on the development of computer vision and machine learning technologies based on advanced algorithms, applied to industrial applications and medical imaging.