Open Geospatial Consortium – Global Earth Observation Collaboration
For several years, CRIM has contributed to the activities of the Open Geospatial Consortium (OGC) innovation program, in collaboration with prestigious organizations such as Ouranos (Consortium on Regional Climatology and Adaptation to Climate Change), Natural Resources Canada, Environment Canada, the German Climate Computing Center (DKRZ), NASA and the European Space Agency. Development of new geospatial […]
Satellite mapping and monitoring of shoals
Context Canada is in great need of new and up-to-date bathymetric charts, but it is very expensive to go on site to take the required measurements. Why not try to see if existing satellite data can tell us if there are changes in bathymetry along Canada’s coasts? Project The science of bathymetry is used to […]
Personalization of the offerings associated with payment cards with the help of reinforcement learning
Mobi724 offers services to companies in the financial sector, mainly banks, by sending promotional offers associated with credit cards. To do so, Mobi724 uses a prediction system associated with customers’ payment cards. The tool, based on reinforcement learning algorithms, was developed in partnership with CRIM. Using it has made it possible to more accurately model […]
Effigis Géo-Solutions improves soil texture prediction using satellite imagery and AI
Drawing on CRIM’s expertise in machine learning and artificial intelligence, Effigis Géo-Solutions has enhanced ScanSol, its platform for predicting soil texture from satellite images. Context Specializing in processing geospatial data, the service company Effigis Géo-Solutions offers innovative tools to help modernize industrial sectors. Effigis called on CRIM to improve its ScanSol system, used to predict […]
CRIM’s expertise could help virtually recreate an entire city!
Jakarto called on CRIM’s experts to help develop an automatic recognition system for objects such as street furniture in order to build detailed maps of cities and locate certain objects with a high degree of accuracy. Your neighborhood recreated on the screen, automatically? Everyone knows Google StreetView, a system based on a car that travels the […]
Assess the market value of real estate properties using AI
Imagine: a market value assessment report on any property in Québec, automatically generated in a few moments! Project JLR, a land solutions company, sought CRIM’s help to optimize the operation of its property value analysis software, called Évia. This platform allows real estate brokers or individuals to obtain a market value assessment report on the […]
Personalized product recommendations for clients of L’Oréal Canada
In the fall of 2017, CRIM completed a research and development partnership with L’Oréal Canada. The project consisted of designing tools to facilitate custom product recommendations for L’Oréal Canada’s clients. The algorithms developed use collaborative filtering, a form of machine learning, to develop recommendation systems. Project CRIM developed the basic algorithm and created a tool […]