AgriTech North is a social enterprise Beneficial-Corp (B-Corp) producing fresh produce year-round, contributing to the resolution of food insecurity throughout Northwest Ontario. They are focused on local production with limited transportation requirements, a longer shelf life, and lower carbon footprint. AgriTech is engaged in the development of new vertical greenhouse technology to enable sustainable operation […]

The project is about removing noise from video signals (for example, those taken by a mobile phones or professional cinema camera). Our current software first detects the type and power of the noise and based on that remove the noise from video. This proposal has three objectives. The first is to handle a specific type […]

The project aims to identify eco-friendly organic molecules to be used as copper corrosion inhibitors for water cooling towers, which are crucial for heat management in facilities like hospitals and factories. Currently, toxic nonenvironmentaly- friendly chemicals are used to manage corrosion in water cooling towers, which pose environmental risks. The intern will collaborate with TGWT, […]

La technologie des ‘sound zones’ (zones sonores, ou zones d’écoute privatives – ZEP) fait partie de la catégorie globale des technologies d’écoute personnelle, qui permet aux gens de créer des expériences d’écoute individuelles. Par contre et par rapport aux technologies basées sur les écouteurs, les zones sonores n’exigent pas que les personnes utilisatrices en portent […]

Quand une goutte d’eau tombe sur une structure, elle produit du bruit. On veut se concentrer dans ce stage sur les signaux sonores liées produits lors de l’impact de gouttes sur la structure solide, et l’extraction d’informations pertinentes concernant la force d’impact de la goutte. L’objectif spécifique est de déterminer si, en partant d’une mesure […]

As global demand for clean energy rises, hybrid renewable energy systems (HRESs) integrating solar, wind, and energy storage offer opportunities to reduce reliance on fossil fuels. However, the operation and management of HRESs remain a significant challenge due to the inherent variability of renewable resources, technological limitations, and the complex interaction among system components. Therefore, […]

In this proposal by assessing the assumptions/data used to impact regulatory credits in programs such as BC-LCFS and the federal CFR, the LCA models will be refined to be more representative. This research will build on past Parkland/MITAC’s supported work which tracked the “green molecules” distribution both within the refinery and in the final fuel […]

Wastewater treatment plants contribute to greenhouse gas emissions through the release of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), which are produced during various treatment processes. During biological nutrient removal in wastewater treatment, processes such as activated sludge can generate N2O (a potent greenhouse gas) during total nitrogen removal. Further energy consumption in […]

The proposed project focuses on developing a business and go-to-market strategy for PoseidonPulse, an advanced AI-powered water quality monitoring system designed to improve sustainability and operational efficiency in Canada’s aquaculture industry. By continuously tracking essential water parameters, this system enables aquaculture farms to proactively manage water quality, supporting healthier fish populations and optimized farm performance. […]

Overview and Main Activities of the Partner Organization The partner organization is dedicated to enhancing urban environments through innovative solutions. One of their primary activities is developing decorative photobioreactors to improve air quality and provide aesthetic appeal in urban areas. Innovation Challenge or Improvement Priority The partner organization faces several challenges: • Urban Air Pollution: […]

Our project integrates AI-driven Simultaneous Localization and Mapping (SLAM) with cutting-edge 3D reconstruction techniques to provide precise localization and high-fidelity 3D visualizations of underwater features. This fusion enables accurate measurement of size, depth, and spatial orientation of anomalies, enhancing inspection precision. By adopting this technology, industries can improve inspection accuracy, streamline maintenance, and reduce operational […]

This project aims to develop an AI-enhanced autonomous underwater vehicle (AUV) system designed to track Steel Catenary Risers (SCRs) in real time. Accurate tracking of SCRs is critical for maintaining the integrity of subsea infrastructure in the offshore oil and gas industry. The AUV will leverage advanced computer vision and machine learning techniques to continuously […]