Advanced solution for drivers identification and evaluation by means of machine learning in large scale and connected solar tracking

• Grant number: 16/08460-9
• Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE
• Start date: March 01, 2017
• End date: August 31, 2019
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Agreement: FINEP - PIPE/PAPPE Grant
• Principal Investigator: Lucas Fernandes Brunialti
• Grantee: Lucas Fernandes Brunialti
• Company: Concierge Blindado Serviços Automotivos Ltda
• City: São Paulo
• Pesquisadores principais: Amílcar Soares Júnior ; Diogo Eiji Suguimoto ; Felipe Fill Cardoso ; Gustavo Vilela Momenté ; Nathalia Alves Cordeiro Barbosa ; Rafael Bernardo dos Santos ; Rodrigo Gouvea Mourad
• Associated researchers: Clodoaldo Aparecido de Moraes Lima ; Francisco Nogueira Calmon Sobral ; Sarajane Marques Peres
• Associated scholarship(s): 18/21242-6 - Advanced solution of identification and evaluation of drivers by learning machine on large scale and solar tracking connected, BP.TT; 18/22785-3 - Advanced solution of identification and evaluation of drivers by learning machine on large scale and connected solar tracking, BP.TT

Abstract

Cobli aims to research, develop and market electronic devices and computer techniques to connect and analyze in real time, motor vehicles and their drivers, to ubiquitously, enabling intelligent and safe use of this resource; that is, maximizing the benefits and minimizing their costs and risks, both in the preservation of human life and the environment. The results obtained by Cobli so far are tangible and encouraging. This research project aims to improve the drivers identification and evaluation algorithms through advanced machine learning techniques on data from solar trackers connected to the Internet (GPS and acceleration in three axes).The objectives will be achieved with optimizations in data processing techniques, particularly in predictive algorithms and processing in a distributed manner, to enable multiple drivers analysis, and increase its accuracy, as well as the collection of these same data, enabling commercial application for insurance companies and fleet managers.The solar tracking device is also an innovative element of the proposal as it will allow easy installation even in vehicles without standard interface for access to the vehicle's on-board computer data. The team has already developed a successful proof of concept identification and evaluation software with field testing and approval market companies.In 2015, he developed a device prototype solar tracker with GPS and accelerometer. The device concept was validated successfully bench, but the company was faced with technological challenges to withstand inhospitable conditions such as high temperatures, vibration, wind gusts, dust, particulates in the air and impact as well as management optimization energy and the list of components to reduce the cost of the solution to the scale manufacturing, which also comprise objectives of this research. (AU)