Our projects

Projets à venir

Acquisition et traitement de données géospatiales
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Volumetric data estimates using aerial images from unmanned aerial vehicles (UAV)
2012
Applied Research and Development Grant – Level 1 - NSERC

The objective of this project was to assess the ability of unmanned aerial vehicles to measure volume in gravel and sand pits. The aim of the project was to develop and optimize a system for acquiring and processing aerial images using UAV.

ING was able to validate its UAV’s ability to measure volume in gravel pits and offer this service to its clients. The method was found to be more than 98% accurate compared to traditional collection methods.

ING Robotic Aviation and CARTEL of the Université de Sherbrooke
Real-time monitoring and tracking
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Volumetric data estimates using aerial images from unmanned aerial vehicles (UAV)
2012
Applied Research and Development Grant – Level 1 - NSERC

The objective of this project was to assess the ability of unmanned aerial vehicles to measure volume in gravel and sand pits. The aim of the project was to develop and optimize a system for acquiring and processing aerial images using UAV.

ING was able to validate its UAV’s ability to measure volume in gravel pits and offer this service to its clients. The method was found to be more than 98% accurate compared to traditional collection methods.

ING Robotic Aviation and CARTEL of the Université de Sherbrooke
Innovation and funding
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Volumetric data estimates using aerial images from unmanned aerial vehicles (UAV)
2012
Applied Research and Development Grant – Level 1 - NSERC

The objective of this project was to assess the ability of unmanned aerial vehicles to measure volume in gravel and sand pits. The aim of the project was to develop and optimize a system for acquiring and processing aerial images using UAV.

ING was able to validate its UAV’s ability to measure volume in gravel pits and offer this service to its clients. The method was found to be more than 98% accurate compared to traditional collection methods.

ING Robotic Aviation and CARTEL of the Université de Sherbrooke
Volumetric data estimates using aerial images from unmanned aerial vehicles (UAV)
2012
Applied Research and Development Grant – Level 1 - NSERC

The objective of this project was to assess the ability of unmanned aerial vehicles to measure volume in gravel and sand pits. The aim of the project was to develop and optimize a system for acquiring and processing aerial images using UAV.

ING was able to validate its UAV’s ability to measure volume in gravel pits and offer this service to its clients. The method was found to be more than 98% accurate compared to traditional collection methods.

ING Robotic Aviation and CARTEL of the Université de Sherbrooke
Organisation intelligente et numérique
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Volumetric data estimates using aerial images from unmanned aerial vehicles (UAV)
2012
Applied Research and Development Grant – Level 1 - NSERC

The objective of this project was to assess the ability of unmanned aerial vehicles to measure volume in gravel and sand pits. The aim of the project was to develop and optimize a system for acquiring and processing aerial images using UAV.

ING was able to validate its UAV’s ability to measure volume in gravel pits and offer this service to its clients. The method was found to be more than 98% accurate compared to traditional collection methods.

ING Robotic Aviation and CARTEL of the Université de Sherbrooke
Cartographie Web et application mobile
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Volumetric data estimates using aerial images from unmanned aerial vehicles (UAV)
2012
Applied Research and Development Grant – Level 1 - NSERC

The objective of this project was to assess the ability of unmanned aerial vehicles to measure volume in gravel and sand pits. The aim of the project was to develop and optimize a system for acquiring and processing aerial images using UAV.

ING was able to validate its UAV’s ability to measure volume in gravel pits and offer this service to its clients. The method was found to be more than 98% accurate compared to traditional collection methods.

ING Robotic Aviation and CARTEL of the Université de Sherbrooke