Following the great success of previous editions, IT will be promoting again this year between June 27th and July 1st, two traineeships designed to capture the interest of secondary students from the 10th to the 12th grade for telecommunications. The activities will be developed in Lisbon and in Covilhã, under the program “Ciência Viva no Laboratório - Ocupação Científica de Jovens nas Férias”.
In Lisbon, IT is associated with Instituto Superior Técnico to host INTELE (Introduction to Telecommunications) for the 5th time . During a complete week (30 hours), the students will go through the delights of soldering for the first time electronic components and building their own FM and AM receivers.
In Covilhã, IT together with the Faculdade de Engenharia – Universidade da Beira Interior, will be hosting a similar course named “Initiation to Electronics and Telecommunications”. It also spans a week (25 hours) and students will be immersed in the context of research and development of IT and participating in experiences, allowing them to contact with some of the innovative applications from electronics and communication networks.
In both courses, the students will visit laboratories of different areas of telecommunications and will watch compelling experimental sessions. The initiative in Covihã also includes sports and cultural activities.
Nowadays, visual surveillance systems populate many different corners in our cities. However, and contrary to what is popular belief, human identification in surveillance context remains an open problem so far.
Researchers from IT Covilhã and IT Lisbon, working in project QUIS-CAMPI, are developing a system to automatically identify persons in crowded environments, able to work in fully covert conditions, inside a delimited space, under conditions similar to the currently deployed visual surveillance systems. There are two main steps of the QUIS-CAMPI processing chain. The first step analyses the whole scene and, through the use of PTZ devices (cameras with remote directional and zoom control), it enables extracting high resolution images of the subjects heads and silhouettes of the walking person. The second step performs biometric recognition, by analyzing the subjects´ physical and behavioral characteristics.
By bridging the gap between biometric recognition and visual surveillance systems, QUIS-CAMPI represents a step towards the future of surveillance.