Automated Monitoring of Insects system: Building a non-lethal and scalable solution for monitoring of nocturnal insects - Design files and software

Read full text
Authors: William D. Lord, Joshua Alton, Gabriel Bannister, Jonas Beuchert, Kim Bjerge, Dylan Carbone, Alba Gomez Segura, Toke T. Hoye, Jenna Lawson, Abhi Ravivarma, David Roy, Daniel Rylett
+3 more Grace Skinner, Alan Warwick, Tom August
Cited by: 0

Abstract

There is growing evidence that human-induced climate change and habitat loss are having negative impacts on insect populations. New technologies have a vital role in improving and expanding global biodiversity monitoring capacity to understand where change is happening and to support restoration. Monitoring of insects traditionally needs entomologists in the field, but insect camera traps powered by AI are emerging as a scalable approach to monitoring semi-autonomously. These systems attract, detect, and identify insects using AI algorithms and are being developed by a network of researchers across the world, notably in Europe and North America. The first version of a system for monitoring nocturnal insects was developed by Bjerge et al. (2021) and further interated by the authors of this submission. Here we supply the build instructions for the system and software needed to opperate the system. This accompanies a paper giving a fuller explaination of the build and opperation of the system. The system captures images at set intervals or based on motion detection to monitor insects that are attracted to lights at night. The UKCEH Automated Monitoring of Insects System (UKCEH AMI-system) is an insect camera trap designed using a single board computer, USB camera and attractant lights as the primary components along with peripheral accessories to make an autonomous system capable of long-term deployment in the field. This repository contains the supporting files submitted to Zenodo for the UKCEH Automated Monitoring of Insects system (UKCEH AMI-system). Overview The files are organized to support the hardware design, build process, and manuscript documentation for the AMI-system. New users should read this README first to understand the purpose of each item and how the repository is structured. Top-level files and folders - `AMI Trap BOM v7.xlsx` - Bill of materials (BOM) for the AMI-system. - Includes component part numbers, quantities, and approximate costs used for building the system. - `AMI_gasket_designs.zip` - Design files for the gaskets used in the camera enclosure. - Includes DXF or drawing files for laser cutting and gasket fabrication. - `AMI_hardware_drawings.zip` - Mechanical construction and assembly drawings for the AMI-system. - Contains detailed drawings as .pdf. - `AMI_MothLEDBoard_v2.zip` - PCB design files for the LED ring board used in the camera housing. - Includes the electronic layout and board manufacturing files (.gbr files) for the light module as well as BOM (bill of materials). - `AMI_overview diagrams.zip` - PDF drawings showing how parts of the UKCEH AMI-system come together - Useful for visualising the assembly of the system - `AMI_solidworks_assembly_and_parts.zip` - SolidWorks assembly and parts files for the AMI-system. - Useful for users who want to inspect or modify the 3D CAD model and part relationships. SLDPRT and SLDASM files - `Build Manual v4.pdf` - The build manual documenting step-by-step assembly instructions. - This should be the primary construction guide for anyone building the system. How to use this repository 1. Consult `AMI Trap BOM v7.xlsx` for the component list and cost estimates.2. Use `Build Manual v4.pdf` for detailed assembly and operation instructions.3. Open the design archives: - `AMI_overview diagrams.zip` for an overview of the assembly. - `AMI_hardware_drawings.zip` for mechanical fabrication drawings. - `AMI_MothLEDBoard_v2.zip` for PCB design files. - `AMI_solidworks_assembly_and_parts.zip` for CAD models and assembly structure. - `AMI_gasket_designs.zip` for gasket cutting and sealing details. Contact For questions about the repository contents or the AMI-system build process, refer to the build manual first. If further support is needed please contact the authors.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
19 June 2026