This project builds a laser targeting system for agricultural pest control. It uses darknet-YOLO for real-time object detection to identify mosquitoes, insects, and weeds from camera feed, then calculates target coordinates through triangulation and controls galvanometer mirrors to direct a low-power laser. The system runs on Raspberry Pi with OpenCV for image processing and computer vision pipeline.