The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms

Abstract

In this paper, we discuss a practice of potential cosmic ray detection using off-the-shelves CMOS cameras. We discuss and presents the limitations of up-to-date hardware and software approaches to this task. We also present a hardware solution that we made for long-term testing of algorithms for potential cosmic ray detection. We have also proposed, implemented and tested a novel algorithm that enables real-time processing of image frames acquired by CMOS cameras in order to detect tracks of potential particles. We have compared our results with already published results and obtained acceptable results overcoming some limitation of already existing algorithms. Both source codes and data are available to download.

On the Search for Potentially Anomalous Traces of Cosmic Ray Particles in Images Acquired by Cmos Detectors for a Continuous Stream of Emerging Observational Data

“…The problem addressed in this paper concerns the detection of anomalies in CREDO data acquired from smartphone-based mobile detectors. The primary carrier of information in this case are images of particle tracks recorded on CMOS arrays [ 74 , 90 ]. Since the data is collected in continuous mode, it is necessary to take into account the possibility of streaming digging through the dataset for unusual observations.…”