{"id":4176,"date":"2020-04-22T22:32:36","date_gmt":"2020-04-23T02:32:36","guid":{"rendered":"https:\/\/www.hajim.wdev.rochester.edu\/senior-design-day\/autonomous-radiation-detection\/"},"modified":"2020-04-30T17:10:32","modified_gmt":"2020-04-30T21:10:32","slug":"autonomous-radiation-detection","status":"publish","type":"post","link":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/autonomous-radiation-detection\/","title":{"rendered":"Autonomous Radiation Detection"},"content":{"rendered":"\n

Team Members<\/h2>\n\n\n\n

Loren McDonald
\nJacob Forman
\nAmro Bayoumy
\nMark Westman<\/p>\n\n\n\n

Supervisors<\/h4>\n\n\n\n

Christopher Muir, PhD, Mechanical Engineering, UR. Laura Slane, PhD, Mechanical Engineering, UR.<\/p>\n\n\n\n

Customers<\/h4>\n\n\n\n

William Zywiec, Lawrence Livermore National Laboratory.<\/p>\n\n\n\n

Description<\/h2>\n\n\n\n

After a nuclear accident, radiation levels must be determined in order to ensure the safety of those involved in cleaning up radioactive material. The goal of this project is to produce a low-cost drone that can be used to survey the radiation levels present in a given area, and to produce a heat map of the measured radiation. All of this data must then be transmitted at a distance where the operators will be safe from radiation exposure.<\/p>\n\n\n\n

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