Advanced avionics systems to contribute to the development of the smart cities by using drones

This research activity will be focused on the creation of novel tools and services through a High Energy Performance approach. The main goal is to develop an AI service for optimal control of energy considering behind the meter resources (management of energy sources at user level), with local (building or district) overall efficiency.

Faced with the current global challenges of sustainable development and the mitigation of climate change, there is an urgent need for a transition from the currently dominant linear economy towards a circular economy (CE). here exists a lack of consensus regarding what constitutes a “circular city”, and also the need to determine yet further the rationales and the ways forward how to transform cities towards circular models. With the aim of helping to meet this need, our research will precisely explore these issues by conducting research at three different but interconnected areas: 1. Field Research. The project involves the need to gather new data from relevant public urban institutions and corporate stakeholders by means of a field survey, meetings and interviews. 2. Modelling and Analysis. Upon gathering the data from the field research, our team of researchers will conduct a comprehensive analysis and diagnosis of the inputs. 3. Guidelines and Decision Support. Findings of the field research, modelling and analysis are brought to the scrutiny of the representatives of public and private organizations.

The GOT-Energy-TALENT proposal hereby presented by GEINTRA Group involves different tasks related to the monitoring and analysis of different indicators in the context of home and city surveillance in order to optimize the smart cities capabilities in terms of energy management and security. Works hereby focused thus involve two different important aims in the actual and future society: security and energy.
This proposal in the GOT-Energy-Talent call is oriented to support the transition to a reliable, sustainable and competitive smart city, within the Smart Cities & Communities area: sustainable development of urban areas is a challenge of key importance. It requires new, efficient, and user-friendly technologies and services, in which surveillance applications for people monitoring and analysis, is already a well-developed field in some other advanced societies such as the Asian one. The proposal hereby presented tackles the attainment of a commercial-scale solution with a high market potential that analyzes energy, transport and communications resources and use in which people audio-visual surveillance is the main key.

The goal of the proposed research line is to develop an automated parking detection system based on computer vision techniques distributed in a mobile application across several users, together with a centralized server that maps the city parking slots and their availability by using user’s data. The server would construct a complete map view of the street parking slots in the city by making use of the processed camera information from the user’s phones, which is geolocated to the user’s location by using GPS and visual odometry. The server would continuously feed the built map and information about available spots to the users, so they can take advantage of this data to find a parking slot much faster. Such a system could significantly lower the time that drivers spend looking for parking slots, directly reducing the associated costs of parking and congestion in cities.