Grants and Contributions

Luminari will attempt to effectively identify two groups of job seekers (passive and active) and develop a learning algorithm capable of utilizing active candidate data to match passive candidates.

Produce a wildfire-detection system using proprietary data with Watson’s Visual Recognition API, and crowd-sourcing tools.

Engage youth as employee in the sensor production line, training in skills essential to Industry 4.0.

DriveABLE is adapting its cognition assessment technologies into a simple, accessible, and most importantly mobile-friendly pre-screening cognitive evaluation tool. In conjunction with the neuroscience and machine learning departments of the University of Alberta, DriveABLE has been working to validate its scoring platform for use in a mobile application (called CARE App). DriveABLE must also develop an adaptive IT and back-end platform. It will manage data that will be processed through machine learning algorithms that continuously validate and improve the accuracy of the mobile cognition evaluations. The mobile platform is expected to be commercialized once the data and machine learning infrastructure is established.

This project involves the development and implementation an innovative cross-asset multi-optimization algorithm to allow infrastructure organizations build global optimal asset renewal plans and optimally allocate capital and operational budget among different asset classes. The project will also will build on work done to date to transform IDS’ software into a scalable, high-performance, and user-friendly software-as-a-service (SaaS) system.

Vieworx will be developing an automated calibration process for the Velodyne HDL-32 Sensor that will perform verification of all the client spatial datasets collected to validate relative accuracy of the system. In addition, Vieworx will integrate a Sequoia camera to the LiDAR mounted drone. Further a mobile application platform will be designed & build to view and analyze all the necessary or valued spatial data from the client’s mobile devices using the client specific GIS protocols. This will be very attractive to clients who do not have the capability to manipulate spatial data.

The objective of the project is to identify the challenges that Canpressco experiences in managing their production and supply chain and then evaluate and decide up on a suitable process and tools that will help the firm manage and grow their supply chain needs.

Surface Solutions Inc. (SSI) has created the design concept for a system to measure and data log methane emissions from gas well surface casing vents, well bore, and tanks. InnoTech Alberta (IA) has been asked to provide support in the innovative design, construction, and validation of a pilot scale system based on SSI’s concept. Existing AER regulations require that well head vent monitoring be done but reference antiquated technology that involves counting the bubbles produced by a submerged vent hose. Given current interest (federal and provincial) in mitigating greenhouse gas emissions, there exists a significant opportunity to advance technology in this area where a robust and digitized results help the regulators audit process.

Objective of the project is to create development process of Pulled Proteins in Sauce as well as develop at least two products: Pulled Pork in Sauce and Pulled Chicken in Sauce. Technical challenge and uncertainty of the project is presented in selection of appropriate meat cut and meat source and in the process of cooking raw meat component in the vertical kettles to the degree that meat component will become appropriately cook and tenderized. Once cooking part of raw meat is accomplish, the next challenge involves the development of the appropriate sauce texture, consistency and viscosity within already cooked meat component. Finish product requires process able flow and distinction between sauce phase and meat particulates phase.

This project will create software to provide no-code capabilities for designated government administrators to design, build, and publish simple web form applications without requiring the services of technical resources. This functionality would be fully integrated as a component of the CitizenOne platform which supports citizen to government interaction through government published digital services. There is very high value in providing the ability to quickly and efficiently build and publish simple data capture services.