Automating Attendance Management in Human Resources: A Design Science Approach Using Computer Vision and Facial Recognition

arXiv:2405.12633v1 Announce Type: new
Abstract: Haar Cascade is a cost-effective and user-friendly machine learning-based algorithm for detecting objects in images and videos. Unlike Deep Learning algorithms, which typically require significant resources and expensive computing costs, it uses simple image processing techniques like edge detection and Haar features that are easy to comprehend and implement. By combining Haar Cascade with OpenCV2 on an embedded computer like the NVIDIA Jetson Nano, this system can accurately detect and match faces in a database …

abstract algorithm algorithms arxiv computer computer vision computing cost costs cs.ai cs.ar cs.cv cs.hc cs.sy deep learning deep learning algorithms design detection edge eess.sy facial recognition human human resources image image processing images machine machine learning management objects processing recognition resources science simple type videos vision