InsectEye: An Intelligent Trap for Insect Biodiversity Monitoring

Eric Homan, Codey Mathis, Chonghan Lee, Harland Patch, Christian Grozinger, Vijay Narayanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Insect populations have seen dramatic declines in the past few years, and it is becoming increasingly important to study these declines to understand the root causes and effects. Unfortunately, current methods for monitoring insect biodiversity are either extremely labor intensive or limited in scope. In this paper we introduce InsectEye, an insect biodiversity monitoring trap that captures high quality insect images across a wide array of species. We will cover the hardware design and decisions required to enable long-term use in the field and describe the motion detection algorithm enhancements needed to operate at a challenging macro scale. Finally, we will report the results from a months-long deployment and review the results that InsectEye produced.

Original languageEnglish (US)
Title of host publicationProceedings - 36th International Conference on VLSI Design, VLSID 2023 - held concurrently with 22nd International Conference on Embedded Systems, ES 2023
PublisherIEEE Computer Society
Pages401-406
Number of pages6
ISBN (Electronic)9798350346787
DOIs
StatePublished - 2023
Event36th International Conference on VLSI Design, VLSID 2023 - Hyderabad, India
Duration: Jan 8 2023Jan 12 2023

Publication series

NameProceedings of the IEEE International Conference on VLSI Design
Volume2023-January
ISSN (Print)1063-9667

Conference

Conference36th International Conference on VLSI Design, VLSID 2023
Country/TerritoryIndia
CityHyderabad
Period1/8/231/12/23

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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