# Ildaron/Laser_control

Laser for control mosquito, weed, and pest

Repository: https://github.com/Ildaron/Laser_control
Canonical: https://ross.abutalabs.com/products/laser_control
Language: Python
License Family: other
Topics: galvanometer, laser, mosquito, deep-learning, kill-mosquito, triangulation, machine-vision, opencv, darknet-yolo, raspberry-pi, weedcontrol
Last push: 2026-03-30T14:17:25+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 74, release rhythm 35, longevity 100
- inputs: {"age_days": 2080, "days_push": 156, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1601, forks 185 (observed 2026-08-28T04:05:09.620761+00:00)

## What it is
An open-source hardware and software project that uses a camera, deep learning object detection (Darknet/YOLO via OpenCV), and galvanometer-steered laser to detect and neutralize mosquitoes, hornets, weeds, and pests on a Raspberry Pi. It includes documentation for coordinate triangulation, galvanometer setup, and safety warnings about laser hazards.

## Use cases
- automatically detect and shoot down mosquitoes with a laser
- build a laser-based weed killer for the garden
- detect and neutralize asian hornets with computer vision
- learn how to aim a galvanometer laser using camera coordinates
- run YOLO object detection on a Raspberry Pi for pest control
- DIY machine vision pest control project

## When to choose
- you want a DIY hardware + deep learning project for automated pest or weed control
- you need reference code for camera-to-galvanometer coordinate triangulation
- you want to experiment with YOLO/OpenCV on Raspberry Pi for real-time targeting

## When to avoid
- you need a production-ready, safe commercial pest control solution
- you cannot follow laser safety precautions - high-power lasers risk irreversible eye damage
- you need a project with a formal license or polished support

## Facets
- artifact type: application
- maturity: experimental
- function: machine-learning, computer-vision, image-processing, robotics
- domain: machine-learning, computer-vision, agriculture, hardware
- platform: python, iot
- tags: laser-control, galvanometer, pest-control, yolo, darknet, opencv, embedded-vision, hardware-project, automation, linux

## Member repositories
- Ildaron/Laser_control (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:09.620761+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:52:39.746013+00:00, confidence not recorded.
  - readme: https://github.com/Ildaron/Laser_control (fetched 2026-08-28T04:05:09.620761+00:00, sha c34b560fa2bb)
- Data as of 2026-08-30T08:39:29.467469+00:00.