An AI-driven decision support platform utilizing computer vision and advanced image processing to improve food safety through accurate, real-time detection and quantification of contaminants. It automates target classification and identification, enhancing safety measures.
The AI-driven decision support platform is designed to significantly enhance food safety by leveraging cutting-edge AI and computer vision technologies. It targets the detection and management of food safety threats through advanced image processing, enabling accurate, real-time analytics. This platform offers a transformative approach to food safety by automating the detection and quantification of contaminants, thereby increasing the speed and accuracy of safety assessments. Traditional methods are often prone to human error and inefficiencies, whereas this AI-driven solution promises to streamline processes and improve overall effectiveness.
Key features:
The platform's AI models are rigorously trained with comprehensive datasets to ensure high accuracy and reliability in various food processing environments. It is designed to operate seamlessly within existing food safety frameworks, providing critical, data-driven insights.
Currently at Technology Readiness Level 3, the platform is in the developmental phase where an AI model is being created and trained. Future steps involve controlled environment testing and refinement, followed by deployment in real-world food production environments to evaluate its practical utility and impact on food safety standards.
The University of Alberta is a large, comprehensive public research university in Edmonton with multiple campuses and a strong applied research culture. Industry engages through co-located labs and pilot-scale facilities, as well as established co-op and internship programs that place talent with partners year-round. Integration with Alberta’s province-wide hospital system supports clinical research and accelerates translation. Companies also benefit from proximity to regional industry clusters and collaboration hubs on and near campus for joint R&D and prototyping. Supported by NSERC, CIHR, SSHRC, and Canada Foundation for Innovation funding—plus provincial and industry support—the tech transfer office manages IP, licensing, and startup formation with streamlined sponsored-research agreements.