Ahmad Alqarni

بعد أكاديمية كاوست

Ahmad graduated from King Fahd University of Petroleum and Minerals in computer science and mathematics in 2025. As of October 2026, Ahmad is an Analyst at the Saudi Central Bank.

المشروع الصيفي

تخصص الذكاء الاصطناعي · دفعة 2024

3D Printing Failure Detection and Analysis

Our deep learning model monitors 3D printing in real-time by analyzing images captured at various intervals from a camera mounted on the 3D printer. The system detects issues such as under-extrusion or spaghetti defects, allowing for early problem identification. When a defect is detected, the model sends a signal to a Raspberry Pi 4 device to halt the printing process, minimizing wasted time and materials.

اطّلع عليه في تقرير البرنامج (PDF)

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