Deep learning-based application for construction and mining industries exploiting drone data

Drone technologies become more robust, and easier to use across important civil sectors, such as construction and mining, with the assurance to deliver unparalleled performance and consistency in every operation. However, one of the significant challenges in integrating drones into civil applications is related to data; i.e. lack of standards for high-quality data collection, complexity of data analysis for converting the overwhelming volume of raw data to concise information, as well as long delays before the data-driven information can be integrated to the process of decision making. Tackling these challenges is the main objective of this project. Hence, Centre de Géomatique du Québec (CGQ) active in developing an automated platform for collecting, processing, and analyzing field data using drone technology elevated by the power of visual and geospatial artificial intelligence (AI). The drone will be provided by the partner of CGQ, ARA Robotique Inc. Another partner of CGQ, Chaac Technologies Inc, will help from data collection to data management. The platform mainly targets the construction and mining sectors for earthwork progress monitoring, predictive inventory analysis, and site safety assessment. It helps managers extract site data to build information dashboards and automated reports in a timely, cost-effective, and safe manner.

Faculty Supervisor:

Julien Maître;Julien Maitre

Student:

Partner:

Centre de géomatique du Québec

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université du Québec à Chicoutimi

Program: