Machine Learning Tools Development and Tool Stack Software Development for Custom Instrumar Fiber Sensor

Instrumar Limited’s core technology platform, used in both industrial and aerospace industries, is based on the measurement of electrical properties of materials that come in contact with its sensor. The sensors sample data in real time and provide feedback based on parameters that are determined through extensive testing. Instrumar receives terabytes of data from its installations worldwide. Our goal is to turn this unprocessed high volume data into value added information.
Instrumar’s legacy software cannot meet the increased need for efficient analysis and knowledge attraction from the data. We have been moving towards using the latest data analytics and data science techniques but do not have the tools needed for this work. These tools will help our customers to make informed decisions on problems that we can help them uncover.
This project will enable us to better benefit from using modern tools to find value from our sensor data in a less labor intensive and more scalable way which is instrumental in supporting our growth. Fueling success also helps us to attract more data scientists and software engineers from an increasingly competitive market.
Instrumar is also now competing with other companies who can pull in data from other sensors and be

Faculty Supervisor:

Rebecca Newhook

Student:

Partner:

Instrumar

Discipline:

Computer science

Sector:

Manufacturing

University:

Memorial University of Newfoundland

Program: