Advancing Agri-Food tech with enhanced computer vision - ON-951

Genre de projet: Recherche
Discipline(s) souhaitée(s): Génie - informatique / électrique, Génie, Informatique, Sciences mathématiques
Entreprise: Anonymous
Durée du projet: 4 à 6 mois
Date souhaitée de début: Dès que possible
Langue exigée: Anglais
Emplacement(s): Stoney Creek, ON, Canada; Halifax, NS, Canada; Toronto, ON, Canada
Nombre de postes: 1
Niveau de scolarité désiré: Recherche postdoctoraleNouvelle diplômée/nouveau diplômé
Ouvert aux candidatures de personnes inscrites à un établissement à l’extérieur du Canada: Yes

Au sujet de l’entreprise: 

A multinational food technology company with headquarters in Stoney Creek, Ontraio. The company provides AI powered technology for companies across the food and agriculture supply chain.

Veuillez décrire le projet.: 

The enterprise is poised to integrate contemporary research centered on computer vision for practical application within the domains of food and agriculture. This initiative will concentrate on enhancing currently deployed Computer Vision and Machine Learning (ML) algorithms, in addition to assimilating the most recent research findings in the field.

Project Objectives:

1. Enhancement of Current Computer Vision and ML Algorithms: This will be achieved through the adoption of a systems engineering methodology, aiming at refining the existing computational models to enhance their efficiency and effectiveness.
2. Incorporation of latest Cutting-Edge Research in Computer Vision: The project intends to apply the latest advancements in computer vision research for commercial applications within the food and agriculture sectors.

Overall Aim:

The overarching goal of this project is to augment the company's existing solutions by leveraging advanced technological research in computer vision and machine learning. This endeavor seeks not only to enhance the performance and accuracy of current systems but also to position the company at the forefront of technological innovation within Food & Agriculture industry.

Expertise ou compétences exigées: 

Computer Vision, Systems Engineering, Machine Learning, Computer Science