Video analysis using deep learning in smart gadget for women saftey

Though there are strong laws to protect women, violence against women is increasing across the world. In this work deep learning is used for analysing video recordings to detect harmful weapons. Around the clock, women face harassment and violence. The notable uniqueness of this proposal is that Artificial Intelligence is implemented for the prediction of crime, which has never been implemented in the previous existing methodologies. Deep Learning models for image processing can detect violence with higher accuracy and thus help cops to identify the criminals. Therefore, any crime that is yet to happen is detected and the predefined contacts get an SMS so that they can know the whereabouts of the victim. The proposed method uses YOLO v3 algorithm. For higher accuracy, the dataset consists of weapons with all possible angles, merged with ImageNet dataset this objection detection algorithm was found to perform extraordinarily to detect weapons in various scenarios, shapes, and rotations. The result showed that YOLOv3 can be used as an alternative of other traditional object detection algorithms such as Faster RCNN.