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Impact

CFRIL collaboration improves poultry welfare tools

Driven by their focus on animal welfare, Cargill Limited, one of Canada’s largest processors of beef, poultry, and livestock feed products, along with a leading Canadian packaging company, Cascades, partnered with the Conestoga Food Research & Innovation Lab (CFRIL) to develop solutions to further enhance their animal welfare practices creating an enriched environment for Cargill’s broiler chickens.

CNERG: Application of culinary techniques to improve the palatability of meals for individuals with dysphasia

This project developed a novel approach to improving the palatability of modified diets for dysphagia patients by combining culinary techniques with food science.

Identifying IP landscape to position Vortex IP

Vortex created a novel architecture for a supercapacitor energy storage system in collaboration with Conestoga’s SMART Centre. C4C provided recommendation on positioning of the IP based on IP landscape analysis.

CNERG: Solar water heater feasibility study for under privileged towns and villages

In many underprivileged villages and towns with no potable water networks, households rely on rooftop water tanks and must use costly electricity to heat water for domestic use. These communities, often abundant in sunshine with minimal cloud cover, represent an untapped opportunity for solar energy utilization. This project explores the affordability and practicality of solar-powered water heating for small residential homes in such areas. 

CNERG: Comprehensive get to know communication model for the new international college students in Canada

Navigating life in Canada as a new international student comes with a range of challenges. Recognizing that current resources often lack cohesion, this project investigates the communication dissemination strategies and tactics that reaches international students upon their arrival.

Innovative energy management for electric vehicle charging and storage at Conestoga's SMART Centre

The project was developed in two phases to enhance system intelligence and usability. In the first phase, communication data is integrated into a centralized database, while an interface is established to connect the system with IT management tools, enabling real-time monitoring and greater visibility.  

CNERG: Exchange rate effects and the Canadian food and beverage sector

The Canadian food and beverage manufacturing sector is becoming increasingly reliant on exports. This project aims to analyze how changes in the Canada-U.S. exchange rate affect net exports across different industry segments, providing valuable insights to businesses navigating currency fluctuations. 

Enhancing efficiency and care with AI-powered document sorting for clinics

In Canada’s medical clinics, managing the steady flow of incoming electronic documents is a significant, time-intensive task. Addressing these gaps, Spring Medical Corp. sought to develop a secure, open-source AI solution that could integrate seamlessly into OSCAR-based EMR systems.

Advancing machine learning for industrial automation at Archronix

Archronix sought to enhance the capabilities of its industrial control unit by developing advanced machine learning functionalities for automotive feature recognition. The existing control unit had the potential to integrate TensorFlow-driven image processing through third-party accelerators.

Automating safety and efficiency in Eaton's paint line operations

Eaton’s Milton facility faced a critical challenge in managing the manual loading and unloading of its paint line, especially with larger, heavier parts that presented safety risks for operators.
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