This project presents the design of an all-sky imager network system. The designed system is capable of taking all-sky images of upper atmospheric airglows and low-latitude auroras, and applying image processing algorithms to correct distortions and to eliminate background noise. This design incorporates novel astronomical image processing routines designed in Python. The processed images are then geo-located on a map of the United States for real-time display on a website. This system will be used to study macroscopic-scale auroras and airglows over the country and to characterize the dynamics of charged particles in the ionosphere. SRI International also intends to get high-school students involved in space-science education using this system.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Mundra, Rohit
• Rangel, Maria Alexandra
• Kengne, Fabrice Fotso

Contributors

• Bhatt, Asti
• Kendall, Elizabeth

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-041313-113105

Advisor

• Klein, Andrew G.

Year

• 2013

Center

• Silicon Valley, California Project Center - MQP

Sponsor

• SRI International

Date created

• 2013-04-13

Resource type

• Major Qualifying Project

Major

• Electrical & Computer Engineering

Rights statement

• In Copyright

Last modified

• 2023-09-20