Smart monitoring using image and video analysis - Materials Science and Engineering


The project involves using deep learning for image and video analysis which will be used in real world application and will be evaluated in a plant site. There are two tasks for undergraduate students and assignment will depend upon student experience. Students with experience in deep learning research will help with using computer vision for image analysis. Interested students who do not have much experience may help with data annotation or pre-preparation.

Project Dates

Start Date: 1/8/2025 - End Date: 4/30/2025

Students Needed

Type of Project

Individual

Student Responsibilities

Perform image and video analysis/pre-processing. Experienced students will train and evaluate deep learning models. Also, communicate with other group members to discuss the results and research directions.

Time Commitment

10 hour(s)

Student Requirements

Students from all academic backgrounds are welcome. Interested students who do not have experience may help with data annotation or pre-preparation. For model training: coding experience in python and experience with deep learning will be useful.

Interested in Working With the Following Programs

For EXCEL URE Students Only

Additional Notes

Position Overview

  • Date Posted: 09-18-2023
  • Location:
    • Orlando (Main Campus)
  • Paid: Yes