scholarly journals Real-Time Class Room Attendance Monitoring System based on Face Recognition

2020 ◽  
Vol 9 (3) ◽  
pp. 16-20
Author(s):  
Rahul Thomas
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
Monitoring System ◽  
Time Class ◽  
Class Room

Real-time Class Attendance Monitoring using Smart Face Recognition

2019 ◽  
Author(s):  
Ma. Ian P. Delos Trinos ◽  
Jozar H. Rios ◽  
Keith Gabriel O. Portades ◽  
Paulo Rae O. Portades ◽  
Renielle Miguel P. Langreo ◽  
...  
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
Class Attendance ◽  
Time Class

scholarly journals Upgrading ATM Security Using Finger Vein Authentication and Anti Theft Module

2021 ◽  
pp. 132-137
Author(s):  
R. Sri Nivedha ◽  
P. V. Sorna Saratha Devi ◽  
Mrs. G Akilandeswary
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
Monitoring System ◽  
Continuous Monitoring ◽  
Raspberry Pi ◽  
Single System ◽  
Biometric Authentication ◽  
Automated Control ◽  
Finger Vein ◽  
Module System

Since crimes pertaining to ATMs have been increasing in recent times, there is a crying need to look into the issue. There have been various systems to prevent the misuse of ATM cards or breaking open the ATM machine but there is a lack of a single system to secure the whole ATM from both physical and logical attacks. This paper proposes a two-module system that contains an RFID and finger-vein authentication module as an alternative to the conventional ATM cards and a Raspberry Pi module for continuous monitoring and automated control when the security of the ATM is at risk. This two-factor authentication and a real-time monitoring system provide better security than the previous techniques which make use of biometric authentication such as fingerprint and face recognition or CCTV cameras.

PROTOTYPE ALAT PEMANTAU SALURAN AIR BAWAH TANAH DENGAN MENGGUNAKAN WEBCAM C170 BERBASIS RASPBERRY PI

2015 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Irwansyah Irwansyah ◽  
Hendra Kusumah ◽  
Muhammad Syarif
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Public Awareness ◽  
Underground Water ◽  
Raspberry Pi ◽  
Laptop Computer ◽  
Web Browser ◽  
Disaster Monitoring ◽  
The Times ◽  
Human Desire

Along with the times, recently there have been found tool to facilitate human’s work. Electronics is one of technology to facilitate human’s work. One of human desire is being safe, so that people think to make a tool which can monitor the surrounding condition without being monitored with people’s own eyes. Public awareness of the underground water channels currently felt still very little so frequent floods. To avoid the flood disaster monitoring needs to be done to underground water channels.This tool is controlled via a web browser. for the components used in this monitoring system is the Raspberry Pi technology where the system can take pictures in real time with the help of Logitech C170 webcam camera. web browser and Raspberry Pi make everyone can control the devices around with using smartphone, laptop, computer and ipad. This research is expected to be able to help the users in knowing the blockage on water flow and monitored around in realtime.

INVESTIGATION OF HAND KINEMATICS TOWARDS FRONT CRAWL SWIMMING USING NON-INVASIVE REAL-TIME MONITORING SYSTEM

2014 ◽  
Author(s):  
Rozaimi Ghazali ◽  
◽  
Asiah Mohd Pilus ◽  
Wan Mohd Bukhari Wan Daud ◽  
Mohd Juzaila Abd Latif ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Real Time Monitoring ◽  
Front Crawl ◽  
Non Invasive ◽  
Hand Kinematics

Design of Portable Electrocardiograph Monitoring System

2020 ◽  
Author(s):  
Jia Hua-Ping ◽  
Zhao Jun-Long ◽  
Liu Jun
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Data Storage ◽  
P Wave ◽  
Ecg Monitoring ◽  
The Public ◽  
Ecg Signals ◽  
Early Warning Mechanism ◽  
Timely Treatment ◽  
Ecg Data

Cardiovascular disease is one of the major diseases that threaten the human health. But the existing electrocardiograph (ECG) monitoring system has many limitations in practical application. In order to monitor ECG in real time, a portable ECG monitoring system based on the Android platform is developed to meet the needs of the public. The system uses BMD101 ECG chip to collect and process ECG signals in the Android system, where data storage and waveform display of ECG data can be realized. The Bluetooth HC-07 module is used for ECG data transmission. The abnormal ECG can be judged by P wave, QRS bandwidth, and RR interval. If abnormal ECG is found, an early warning mechanism will be activated to locate the user’s location in real time and send preset short messages, so that the user can get timely treatment, avoiding dangerous occurrence. The monitoring system is convenient and portable, which brings great convenie to the life of ordinary cardiovascular users.

Real Time Person Recognition and Attendance Marking Using Holistic Based Approach

2017 ◽  
Vol 7 (7) ◽  
pp. 302
Author(s):  
Reshma P ◽  
Muneer VK ◽  
Muhammed Ilyas P
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
High Accuracy ◽  
Efficient Technique ◽  
Human Face ◽  
Traditional Methods ◽  
Person Recognition ◽  
The Face

Face recognition is a challenging task for the researches. It is very useful for personal verification and recognition and also it is very difficult to implement due to all different situation that a human face can be found. This system makes use of the face recognition approach for the computerized attendance marking of students or employees in the room environment without lectures intervention or the employee. This system is very efficient and requires very less maintenance compared to the traditional methods. Among existing methods PCA is the most efficient technique. In this project Holistic based approach is adapted. The system is implemented using MATLAB and provides high accuracy.

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