Paper Key : IRJ************641
Author: Debrupa Pal
Date Published: 03 Dec 2024
Abstract
This study tries to introduce artificial intelligence and its important subfields in machine learning methods. It also covers the function of these subfields in many healthcare sectors, including bioinformatics, gene detection for cancer diagnosis, epilepsy seizure, and brain-computer interface. It also discusses the deep learning based medical image processing for conditions like tumors, gastrointestinal disorders, and diabetic retinopathy. The final section of this essay examines the challenges that must be faced in the real world to make AI techniques more accessible. Motion detection alarm systems play a key role in modern security, enabling real-time identification of intrusions and potentially dangerous activities. This paper presents a novel motion detection alarm system implemented using Python, which employs computer vision techniques like background subtraction and edge differencing to detect movement in monitored areas and trigger appropriate alerts. The system addresses the limitations of traditional security systems by utilizing Python's image processing capabilities, allowing for customizable sensitivity thresholds to reduce false alarms and adapt to varying environmental conditions. The system efficiently detects movement across different scenarios using OpenCV and NumPy libraries while maintaining a reasonable computational load. Experimental results demonstrate its effectiveness in accurately identifying movement and initiating alarms, showcasing its potential for enhancing security measures and adaptability to diverse settings.