Multi-Disciplinary Engineering Senior Design

• Embedded Computer Vision

  PROJECT PARTNER // Lexmark

  PROJECT DESCRIPTION

  Build a full pipeline from camera to embedded system to web interface to demonstrate the accuracy and reliability of trained neural networks, with one network trained for make of vehicle and the other for a wide variety of common objects.

  BENEFITS TO PROJECT CLIENT

  1. Experience building an end-to-end system with modern tools

  2. Observe and quantify the limitations of vision-based models

  PROJECT GOAL

  1. 1Architect pipeline with functional blocks
  2. Reduce to practice object recognition with provided embedded platform and camera
  3. Create software container for trained model
  4. Design experiments to benchmark accuracy and reliability of these models running on the embedded system.

  TEAM MEMBERS

  • Khem Bastola
  • Thomas Cheal
  • Jacob Lichtefeld
  • Stephen Metzger
  • Michael Skarlatov
  • Austin Turner
  • Octavio Villalaz Lince
  • Austin Wynn

• Labor Management

  PROJECT PARTNER // Hanna Andersson

  PROJECT DESCRIPTION

  Design and create a labor management tool to support the DC in measuring and leading associates fairly and effectively. Consider how data can be pulled from both the WMS and the Time and Attendance system to support this.

  BENEFITS TO PROJECT CLIENT

  1. Productivity Dashboard to provide greater visibility into user metrics
  2. Validation of pick metrics and goals through detailed time study
  3. Performance Reporting

  PROJECT GOAL

  Design a “first step” Labor Management System at the Distribution Center using existing software (ADP and Microsoft AX). Review functional areas to enhance productivity goals and metrics where they already exist, and consider the conversion of indirect functions into measured tasks where feasible. Overall goal is to provide a tool for leadership to be able to lead and manage their teams performance and planning, driving down labor costs and enhancing process conformity.

  TEAM MEMBERS

  • Erphan Arbabshirani
  • Osvaldo Garcia
  • Pete Miglio
  • Julianne Nguyen
  • Austin Smith

• Light Range Golf Platform

  PROJECT PARTNER // Light Range Golf

  PROJECT DESCRIPTION

  Portable golf platform that utilizes ground-level light sensors to gather data related to the golfer’s swing speed, attack angle, etc. The data is then transmitted to a display screen attached to the platform. The platform includes a stationary golf ball for the golfer to strike.

  BENEFITS TO PROJECT CLIENT

  1. The capstone team will use their engineering education to improve on organization’s original product idea
  2. The capstone team will benefit organization by building prototype of product
  3. The capstone team will benefit organization by providing insight on deficiencies in original product idea

  PROJECT GOAL

  Create a portable golf platform that produces swing measurements and analytics but does not require the golfer to strike loose golf balls

  TEAM MEMBERS

  • Dean Jacob
  • Katherine Jane Ledford
  • Connor Mason
  • Kelly O’Bryan
  • Kelsey Paige Wunderlich