@phdthesis{eprintsunpak9472,
            year = {2024},
          school = {Universitas Pakuan},
           month = {July},
          author = {Arif Priyan Budi},
           title = {Perancangan Sistem Pendeteksi Kerusakan pada PCB Menggunakan SSD MobileNet V2},
             url = {http://eprints.unpak.ac.id/9472/},
        abstract = {Perancangan Sistem Pendeteksi Kerusakan pada PCB Menggunakan SSD MobileNet V2
Arif Priyam Budi1),Chairunnas 2), Teguh3)
Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

Abstract
This research aims to design a damage detection system for PCBs using SSD MobileNet V2. PCBs, as critical components in electronic devices, require visual inspection to ensure they are free from defects. The method employed is the AI model SSD MobileNet V2, trained to detect damage on PCBs. The results demonstrate that this model is capable of detecting damage with high accuracy. It is expected that this system can enhance efficiency and reduce errors in manual inspections, providing a more reliable and faster solution for detecting PCB damage compared to traditional method.
Keywords: Damage Detection, PCB, SSD MobileNet V2, AI, Visual Inspection, Accuracy, Efficiency}
}