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03.3 · Vision system

Camera
moth trap

Camera moth trap for non-lethal monitoring of moths

The camera moth trap deployed in the field
Camera moth trapUV + visual light, solar powered, waterproof

The moth camera is a device designed for the detection and observation of various moth species. It serves as a non-lethal monitoring tool for those seeking to study nocturnal insect populations while minimizing disturbance to their natural habitats.

This camera operates during the nighttime hours, utilizing both ultraviolet (UV) light and visual light to attract moths to its location. Once attracted, any movement in front of the camera’s sensor triggers an automatic photograph, allowing researchers or enthusiasts to document and identify specific moth species. Leveraging machine learning techniques, the camera automatically classify the moths by species and the detection model is continually refined when its classifications are approved by experts.

The camera system is water proof and powered through solar cells, enabling deployment in remote locations without relying on external power sources.

UV + VIS

Attraction lighting

Non-lethal

Zero Moths harmed

Solar powered

Works off-grid

AI

Moth detection

In operation in Wytham woods
In operation in Wytham woods
The trap in operation at night
In operation after dark in Oxford

Sample photos

Moths photographed on the trap screen
Night capture · motion triggered
Close-up of moths on the illuminated screen
Crop for species classification

mini camera moth trap

The mini-moth trap is a small, portable camera that can be easily mounted, for example, on top of a post, allowing for moth monitoring in areas where grazing occurs. It can be powered either from an external source, such as solar panels, or via a mains connection.

The mini camera moth trap mounted on a post
Mini trap · screen
The mini camera moth trap, detail
Mini trap · Light and camera

Inspiration

The camera is built with inspiration from the design by Kim Bjerge et al., which is described in the following paper:

Bjerge K, Nielsen JB, Sepstrup MV, Helsing-Nielsen F, Høye TT. An Automated Light Trap to Monitor Moths (Lepidoptera) Using Computer Vision-Based Tracking and Deep Learning. Sensors (Basel). 2021 Jan 6;21(2):343. doi: 10.3390/s21020343. PMID: 33419136; PMCID: PMC7825571.

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