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Indra to develop detection system for sustainable mobility programs
Spanish consulting and transportation technology company Indra is leading the European BeCamGreen R&D&i project, which aims to develop a system based on computer vision and big data that will help reduce traffic, particularly single occupant vehicles, while aiding new sustainable mobility policies.

The project is being financed and overseen by EIT Digital, a leading European digital innovation and entrepreneurial education organization, and Indra will work alongside the Polytechnic University of Milan in Italy.

The project will perfect and test, in a real traffic scenario, a product that is unique and market-ready, which can automatically identify vehicle types in real time and recognize its number of occupants, in both front and back seats. The system will allow local authorities and transport agencies to understand existing mobility patterns, and then define strategies and policies to reduce traffic congestion, prioritize and promote the use of public transport, and high-occupancy or low-emission vehicles, resulting in improved traffic, air quality and noise levels.

BeCamGreen will develop an automated, non-intrusive system using state-of-the-art big data, computer vision, deep learning and multispectral analysis technologies. Indra will work on improving the image processing algorithms for face and body detection that it started to develop in previous R&D&i projects. To achieve the highest precision, the company will include better vision equipment and will combine existing algorithms with new ones to improve accuracy.




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