DICE helped Glacier Farm Media develop an app

Summary of proposals for public release:

In partnership with Mera Development Corp., DICE is developing a sub system for Mera’s Asset Data Management (ADAM) platform. Specifically, the proposed applied research will develop a system capable of performing data aggregation and migration across multiple corporate and sensor databases while maintaining or introducing relationships between the data points. The system infrastructure will collect, scan and import data to a NoSQL database (Lake). That aggregated data will be used to support machine learning (ML) and Artificial Intelligence (AI) algorithms found in ADAM. Previous work on a prototype focused on data migration and preprocessing of data. This work will set the foundation for allowing individuals without extensive data expertise the ability to migrate and preprocess data. The application will benefit anyone who needs to control data aggregation strategies and aid in the application of ADAM functionality to improve and optimize their agricultural and food manufacturing processes.

Partner organization

Mera Development Corp.

Funding source

Mitacs logo
DICE and Globex Management collaborated on the research and development of an Intelligent Restaurant Management System (IRMS). 

Globex Management is a hospitality-based organization that has developed a software platform to build detailed menus for food service organizations. Globex wishes to extend the capabilities of their software to create an IRMS. The purpose of this project was to further develop the IRMS to automatically enter invoices, control the shrinkage and spoilage of food, and enable easy entry of inventory. All these features will allow for prices of menu items to reflect the real costs of ingredients. This will allow restaurants to effectively maximize profits.  

Partner organization

Globex Management

Funding sources

Globex Management

Mitacs logo

NSERC
DICE and geological experts at Peter Lucas Project Management Inc. are collaborating on the development of a digital system to locate aggregate sources with a large gravel content.

Gravel is a non-renewable resource that is used in almost every aspect of construction. The identification of sources of gravel and the corresponding management of it is important to many different industries. The project examined the use of machine learning (ML) and neural network algorithms to determine the probability of a location on a map containing gravel. This resulting technology helps to find more sources, increase supply, save costs and reduce greenhouse gases due to minimized hauling. The work done in this project expands on previous collaborations between DICE and Peter Lucas Project Management Inc. that have shown promise. 

Partner organization

Peter Lucas logo

Funding sourcse

Mitacs logo

NSERC logo

Peter Lucas logo