Autonomous Cable Seal Application and Removal

The two major objectives of the umbrella grant are to 1) empower the partner organization to improve their digital capacity and gain insight into their data to support business growth and innovation. 2) Provide students with work-integrated learning experiences that expose the students to advanced data analytical techniques, data mining and machine learning. DICE focuses on a companies Data, Networking and Analysis (DNA) which is often unique to each company and involves solutions that are as unique as the DNA in humans.

This project is projected to be a part of a larger project 3 years in length and will require interns to grow their knowledge in multiple different areas of technology including Machine Learning (ML), IoT and modern software development frameworks.

Rayhawk is providing autonomous railcar loading technologies for granular loading facilities. This project entails enhancing Rayhawk’s existing vision system to work efficiently and without issues as Rayhawk scales it’s customer base and railcar support. Rayhawk has built a machine learning pipeline that has currently satisfied our first production unit within an inside facility focusing on one particular railcar, but as we scale we need to support multiple railcars as well as support them in all weather and all condition with a railcar either stationary or in continuous motion. Data research and analysis is needed to identify steps required to provide a scalable vision system across all of these variables.

This project will focus on integrating LiDAR and other sensors such as cameras and infrared sensors in conjunction with a robotic assembly that will be used to interact with railcars during the loading processes.

Faculty Supervisor:

Raymond Spiteri

Student:

Partner:

RAYHAWK

Discipline:

Computer science

Sector:

Manufacturing; Professional, scientific and technical services

University:

Saskatchewan Polytechnic; University of Saskatchewan

Program: