Yield optimization of an agrifood production process using AI tools and Industry 4.0 technologies

Food manufacturers experience significant waste when transforming raw materials into refined finished products. In the food processing industries, a single line can have 50% or more of raw materials loss while simultaneously producing varying degrees of quality simply because processing equipment is not optimally configured to the characteristics of the suppliers’ raw materials. Worximity proposes a project to use artificial intelligence, combined with industrial sensors (IIoT) and computer vision to optimize food production yield, improve quality, safety, and reduce waste in food manufacturing.

Faculty Supervisor:

Maha Ben Ali;Robert Pellerin;Christophe Danjou

Student:

Partner:

Worximity Technology Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program: