Machine Learning Tools and Visualization Tools Software Development for Custom Instrumar Fiber Sensor

Instrumar Limited’s core technology platform is based on the measurement of electrical properties of materials that come in contact with its sensor. The sensor generates a tightly confined electromagnetic field that detects the properties as material enters this field. The sensor is sensitive to the amount, the shape, its density, temperature, conductivity, impurities, moisture content and flow speed of the material. The sensors sample data in real time and provide feedback based on parameters that are determined through extensive testing. Our current approach for providing customers with useful information is a manual, time consuming process that is not very scalable. In order to more quickly gather insights from our data, be able to better react to our sensor outputs and provide valuable and timely information to our customers we are working on standardizing our software and customer adoption processes. We are building a stack needed to use machine and advanced learning tools to uncover and appropriately visualize patterns that are not obvious to process engineers or to production experts.

Faculty Supervisor:

Ed Brown

Student:

Partner:

Instrumar

Discipline:

Computer science

Sector:

Manufacturing

University:

Memorial University of Newfoundland

Program: