This project leverages computer vision technology to autonomously identify and target circular balloons using a laser system. The central computing unit is a Raspberry Pi 4 with 4 GB of RAM, tasked with the responsibilities of detection, tracking, and shooting down balloons of various sizes. The aim is to achieve a fully automated system capable of efficiently handling balloons, ranging from the largest to the smallest, without requiring human intervention.
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This project employs computer vision to identify and target circular balloons with a laser system. It utilizes a Raspberry Pi 4 with 4 GB of RAM for detecting, tracking and shooting down balloons from the largest to the smallest without human interventions.
kindzhon/Autonomous-Balloon-Detecting-Tracking-and-Shooting
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This project employs computer vision to identify and target circular balloons with a laser system. It utilizes a Raspberry Pi 4 with 4 GB of RAM for detecting, tracking and shooting down balloons from the largest to the smallest without human interventions.
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- Python 100.0%