Walbridge construction company makes jobsite safety a top priority on all of their projects, including their two active jobs on U-M’s North Campus. Students on the Walbridge team will use 360° images from jobsites to develop a computer vision model that detects safety non-compliance on worksites.

EV battery thermal management is critical for performance and life of Li-ion batteries, but pack level testing is expensive and hazardous. Students on this team will develop a lab-scale hardware in the loop testbench (to be used as teaching tool) to help safely bridge the gap between cell level tests and pack level system performance evaluation.

Human body models can be used to better understand and design to prevent injuries to a diverse population of shapes and sizes, but the work required to accurately develop these is time consuming and often manual. Students on this team will use AI and ML techniques to investigate and fine tune existing open-source CT scan segmentation software for the eventual purpose of generating accurate 3D surface models of the human body.

To maintain cost competitiveness when moving production on a popular product from Asia to the US, Reverie needs to increase the automation of the assembly and packaging process. Students on this team will evaluate the design of the EZ-Lift™ Universal Foundation, develop an approach to automate the assembly, and perform the business case analysis to support moving the manufacturing location to the US.

Moving patients in hospitals is a complex procedure that requires the caregiver to monitor the patient while pushing the stretcher while also managing any external equipment. Students on the Stryker Autonomous Stretcher project will design and develop a system that allows the stretcher to operate autonomously, freeing up valuable caregiver resources for other related activities.