Nearly two months ago, I noticed bee-like pest activity near a small opening outside the wall insulation in my balcony. After some superficial research on species that prefer wall insulation and seeing a bumblebee flying over the flowers on my balcony, I falsely deduced that the pest nest belonged to a bumblebee colony. Thus, I did not give much credence to the increasing colony size and decided to design a custom 3D-printable bee trap, inspired by honey bee vacuums, to safely relocate the nest. As I thought I could create an easily replicable device to help people facing a similar problem, I decided to design my bee trap as an add-on accessory to my Samsung cylinder vacuum cleaner. In this regard, I gradually worked on my bee vacuum and designed it to be attachable between the cleaner hose and the hose connection adapter. I heavily focused on the device's modularity and redirecting the negative pressure and airflow (suction) to safely collect bees.
However, I have made a huge mistake by focusing on the results and ignoring my lack of knowledge about pest species. I realized my mistake as I was searching for bumblebees' airflow resistance to design a safe bee vacuum inner frame. Thanks to a random but lucky article inspection, I came to the conclusion that the flight patterns of the species residing in my balcony do not correspond to those of bees but rather to those of wasps. Considering the wall insulation nest, they were more likely yellowjackets. Once I went out to investigate the nest up close to confirm my new assumption, I could not even get near it; the colony had become too aggressive. The only thing I could do was to squeeze a plastic bag near the opening via a broom to protect myself. Since I utilized this balcony area as storage and only inspected the nest behind a window, I did not notice this aggressiveness and threat.
After realizing this was a pest infestation, I decided to speed up developing my bee vacuum and remove the nest immediately. I even purchased a beekeeping hoodie :) Unfortunately, again due to my lack of knowledge and experience, I made colossally wrong assumptions about the nest population and size. Once I tried to remove the pest nest with my bee vacuum, hundreds of yellowjackets swarmed and stung me three times. Thankfully, I was wearing the hoodie and did not show any allergic symptoms. Thus, my experiment did not cause any serious health issues; the only positive result I got from this experiment was a funny video documenting how yellowjackets successfully repelled me :)
At this point, this infestation stopped being an experiment on a custom bee vacuum and became a dangerous threat to me and my neighbours. Thus, I immediately contacted a professional firm to eliminate the yellowjacket infestation. They applied chemical treatment and needed to break the wall insulation to remove the whole nest. Little did I know, the insulation company left a huge void between the panels, throwing all of my nest size estimations out of the window.
After this painful yet enlightening experience, I still wanted to publish my 3D-printable bee vacuum since it can work perfectly for more docile species such as bumblebees, in the case that the user has the appropriate protection gear and attire. Nevertheless, I also wanted to examine and share how I could employ AI to develop a simple solution to safely investigate potential pest species and their threat levels, leading the user to take action early and contact experts with scrutinizing articles not by chance but by contrivance. After mulling over different AI-oriented solutions, I decided to develop a VLM-enabled AI agent and assign a simple web interface to the agent for user interactions.
The web interface allows the user to upload videos of outside nest activity, select frames from the video, and pass the selected frame to the AI agent. The web interface also lets the user enter assumptions about pest species based on the monitored nest activity. Then, the...
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Kutluhan Aktar


























































Inspect the full project instructions on Hackster:
https://www.hackster.io/kutluhan-aktar/a-pest-nest-identification-ai-agent-from-a-failed-bee-vacuum-66edfd