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Face Recognition Based Real Time Attendance System Using Machine Learning

Authors : Prof. Ansar Sheikh , Nivedita Sanyal ,Payal Ninawe,Sanjana Waghe,Shruti Waghmare DOI : 10.46335/IJIES.2024.9.8.19 Abstract— In contemporary educational and workplaces are changing quickly these days, so it’s important to have an easier way to track who shows up. This study explores a new system that uses special face- scanning technology to automatically take attendance. […]

Designing and Implementing a System for Automation of E-Yantra Lab Using Iot and Computer Vision

Authors: Rohan Vaidya, Aryan Narde, Himanshu fanibhare, jay kohle, Piyush khonde,Abhya Sharma, Prathmesh Siddhamsittiwar DOI : 10.46335/IJIES.2024.9.8.1 Abstract – A face recognition attendance system uses facial biometrics based on monitor camera image capture to identify faces while recording attendance. the CPU (central processing unit) will be able to locate and recognize human faces as part of […]

Home Automation Using Wi-Fi

Authors :Trupti Bavaskar, Shubhangi Mhaske, Gayatri Kale, Dr. Atul Barhate DOI : 10.46335/IJIES.2025.10.9.2 Abstract – The advent of IoT (Internet of Things) technology has revolutionized home automation, offering enhanced convenience, energy efficiency, and control. This project focuses on implementing a simple yet effective home automation system using an Arduino microcontroller and the ESP8266-01 Wi-Fi module […]

A Review On: Python-Based Vehicle Number Plate Recognition System

Authors : Bhagyashri S. Patil , Nilesh Vani DOI : 10.46335/IJIES.2025.10.6.11 Abstract –Number Plate Recognition (NPR) is a crucial application in intelligent transportation systems, law enforcement, and automated parking management. The advancements in deep learning and computer vision have significantly improved the accuracy of NPR systems. This review paper explores various techniques used for number […]

A Literature Review on Quantifying Roadside Evolution Using Computer Vision and Deep Learning

Authors : Dr.M.V.Bramhe , Ajinkya Joshi , Vedant Madankar , Siddharth Rangari DOI : 10.46335/IJIES.2025.10.5.4 Abstract-This research uses computer vision and deep learning to automate the monitoring and analysis of land use changes in urban or rural areas. It replaces traditional manual methods with image segmentation models that classify satellite or aerial imagery into key […]