Grants and Contributions

This ICAP project will help Croptimistic Technologyt Inc. work with an international partner to solidify a plan to co-develop a system to produce soil zone management maps using electrical conductivity and other soil properties.

EUREKA Consortium Project 15619 NOVIRALRISK – Risk of viral contagion in buildings from airborne-transmission of pathogens led by the National Research Council of Canada with partners from Germany, Finland, and Sweden.

This project is intended as a means to provide specific scientific and technical building system information on strategies to optimize the operation of HVAC or passive ventilation systems within buildings and identify potential gaps in respect to their operation versus the recommendations provided by cognizant authorities of the participating countries.

The software developed will provide various machine learning tools to retrieve a wide variety of information about the video and imagery being analyzed. The simple user-friendly graphic user interface will let the operator to easily use the software with very little prior experience with the software. The software solution for satellite imagery processing can be applied in maritime environments with ship detection, semantic segmentation, identification, and tracking for satellite videos for both visualization within the software and to export the extracted information in remote sensing standard formats like geoJSON.

Japan ATR Horticulture project with Japanese partner Toray to develop inexpensive, self-powered edge analytics nodes designed for use in controlled horticulture environments such as greenhouses and vertical farms. A Proof Of Concept project has been established with a major Japanese construction company developing a new residential area greenhouse concept, but they are experiencing problems with pest insect infestations.

Using machine intelligence at the edge nodes equipped with insect traps and many sensors including cameras, bugs are identified along with associated environmental readings. More data processing and machine intelligence algorithms at the cloud data center receive edge node reports and identify patterns in pest occurrence, optimizing greenhouse operations.

The user will simply have to go to the building's elevator, open the application and press the desired floor. The elevator will then be requested for the desired floor and the user will be able to board and get to his destination completely contactless.

Project summary is confidential. For more information, please refer to the attached document "NRC-IRAP Ecostrat proposal v6".

CLAS is embarking on a project to streamline infrastructure, workflows and its mobile environment to prepare for advanced features such as a marketplace and rural notification system. The marketplace will enable rural landowners to reach new markets, sales channels and capitalize on the demands of the end consumer while enhancing B2B activities. The notification system will allow landowners to send push notifications to neighbouring properties and authorities as a way of alerting them to suspicious activity in the area to keep communities safe.

The transducer and electronics of an ultrasound probe can be significantly optimized and simplified by careful design for a specific application. The FloPatch uses continuous wave Doppler ultrasound, with relatively simple electronics to produce a pressure wave from one of two identical transducers and process the echoes received by the other. We have developed functional prototypes with a miniaturized, wearable form factor and demonstrated their ability to measure changes in carotid blood flow. The challenge now is to make the device low cost, and therefore commercially viable.

An intelligent content factory that recommends real-time local content specific to a real estate agent in North America and predicts what type of content performs better for them.

The platform assesses patients by integrating data from two sensors and visualizing results on a user-friendly dashboard.