Non-permissible Mobile Detection to Enhance Security in Bangladeshi Museum: A Multiprocess YOLO-Based Approach

NMDM dataset by capturing photos of the phone in different angles and different conditions, after augmentation, the overall dataset size is 𝟏𝟎𝟒𝟗𝟒. In terms of testing results the NMDM model displays remarkable precision (97.671%) and accuracy (95.180%). With multi- processing, it also significantly speeds up both CPU and GPU systems. Code: https://github.com/riadnwu/Non-permissible-Mobile-Detection-to-Enhance-Security-in-Bangladeshi-Museum-A-Multiprocess-