There are 1 repository under cell-phone topic.
Distributed advertisement-based BTLE presence detection reported via mqtt
Herramienta avanzada de seguimiento de IP y obtención de información de número telefónico
Component for formatting input data in realtime
The objective of this work is to detect the cell phone and/or camera used by a person in restricted areas. The paper is based on intensive image processing techniques, such as, features extraction and image classification. The dataset of images is generated with cell phone camera including positive (with cell phone) and negative (without cell phone) images. We then extract relevant features by using classical features extraction techniques including Histogram of Oriented Gradients (HOG) and Speeded up Robust Features (SURF).The extracted features are then, passed to classifier for detection. We employ Support Vector Machine (SVM), Nearest Neighbor (K-NN) and Decision tree classifier which are already trained on our dataset of training images of persons using mobile or otherwise. Finally, the detection performance in terms of error rate is compared for various combinations of feature extraction and classification techniques. Our results show that SURF with SVM classifier gives the best accuracy.
Cell phone holder design using OpenSCAD
Table66 @eoshackathon - Secure Data Proof with Privacy You Control
Avilla Forensics 3.0: Avilla Forensics is a comprehensive and feature-rich tool for mobile forensics, offering a wide range of functionalities for both Android and iOS devices. The tool’s integration with various third-party tools enhances its capabilities.