Smart Attendance System - Concept and Code

Introduction

In the current environment of the Coronavirus pandemic, it is extremely important to ensure the safety of employees in a workplace. Smart Attendance Systems are becoming increasingly popular in many different kinds of businesses.  

 

Smart Attendance System is a facial recognition-based attendance system that facilitates this safety by allowing employers to screen the body temperature of their employees. The advanced facial recognition technology helps to identify and record employee presence quickly and accurately. This enables businesses to have accurate, up-to-date attendance data on their employees which can be used to monitor time and attendance, manage contracts, and improve employee productivity. In addition to facial recognition, the Smart Attendance System also incorporates thermal screening capabilities, further increasing efficiency and security.

The thermal screening capabilities of the Smart Attendance System provide a valuable tool to employers in times of health crises. This feature provides employees with the security of knowing that their health is being taken seriously, while their bosses can take the necessary precautions to ensure their safety. With thermal screening, the Smart Attendance System can detect if an employee has a high body temperature and automatically send out an alert. This allows employers to take the necessary steps to investigate the employee’s well-being and, if necessary, provide treatment.

The Smart Attendance System incorporates contactless IR based body temperature detection and facial recognition technology. It has a temperature measurement range of - 40 to 125°C and is capable of auto calibration as per the outside weather.

 

The Smart Attendance System also uses facial recognition to provide accurate records of employee check-in and check-out times. This feature can help employers create highly detailed schedules for employees and allows for easy tracking of time worked. In addition, it eliminates the potential for foul play when manually clocking in and out. By automating attendance recording, the system can free up large amounts of time for employers and employees, allowing them to spend more of their day focused on core tasks. 

The Smart Attendance System also provides a unique way for businesses to promote safety and security. With its facial recognition capabilities, the system can help reduce the number of fraudulent clock ins and promote accountability. It also ensures that employees are well aware of their check in and check out times, while at the same time helping businesses ensure that their staff are present at their designated times.

Overall, the Smart Attendance System is fast becoming one of the most popular tools for businesses of all sizes. Its facial recognition technology, thermal screening capabilities, and enhanced security offer unmatched accuracy and efficiency. As businesses become more conscious of health and safety, the Smart Attendance System is proving to be a reliable and practical solution for monitoring time and attendance and ensuring staff safety.

Python Program for Smart Attendance System:

#importing the necessary packages

import cv2

import numpy as np

import glob

import time

from datetime import datetime

 

#loading the cameras for IR based body temperature detection

camera_instances = cv2.VideoCapture(0)

 

#Loading the cascading classifier for face Recognition

face_detection_classifier = cv2.CascadeClassifier(

    "haarcascade_frontalface_default.xml")

  

#Recognizing the face

recognizer = cv2.face.LBPHFaceRecognizer_create()

 

#Resizing images

def resizing(image):

    return cv2.resize(image, (640, 480))

 

#Defining a function to measure the body temperature of employee

def measurement_body_temperature():

 

    #capturing images

    (grabbed, frame) = camera_instances.read()

    

    if grabbed:

        gray = cv2.cvtColor(resize(frame), cv2.COLOR_BGR2GRAY)

        # Detecting faces

        faces = face_detection_classifier.detectMultiScale(gray, 1.3, 5)

        # Draw a rectangle around the face

        for (x, y, w, h) in faces:

            cv2.rectangle(frame, (x, y), (x+w, x+h), (128, 255, 0),

                            1)

            # Measuring body temperature

            temperature = round(frame[y+h//2][x+w//2][0] * 0.1, 2)

            # Displaying body temperature

            cv2.putText(frame, str(temperature) + "C", (x, y),

                        cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 0), 1, cv2.LINE_AA)

            #Checking if temperature is in the range of 40-125

            if temperature >= - 40 and temperature <= 125:

                cv2.putText(frame, "NORMAL", (x, y+h+20),

                            cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 1, cv2.LINE_AA)

            else:

                #Generating auto-alerts

                cv2.putText(frame, "WARNING", (x, y+h+20),

                            cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1, cv2.LINE_

Similar Keywords:

Attendance tracking software, Employee attendance management, Time and attendance system, Digital attendance system, Smart punch clock, Automated attendance system, Biometric attendance system, Cloud-based attendance system, Wireless attendance system, Smart clock in system, Facial recognition time and attendance, Face recognition attendance system, Biometric facial recognition attendance, Contactless attendance system, Facial recognition clock in system, Smart facial recognition system, Face detection attendance system, Facial recognition access control, Computer vision attendance system, Artificial intelligence attendance system.