chetanyachopra / facerecognition-attendance-marking

FaceRecognition Attendance Marking System Recognizes faces of students in a Classroom and marks the attendance of a student. Tested on real data set

FaceRecognition-Attendance-Marking

FaceRecognition Attendance Marking System

Tech Stack

• Opencv2
• Microsoft Cognitive Services
• dlib
• SQLite
• openpxyl

Uses Micosoft Cognitive Face API to recognizes faces in picture from cctv or clicked from mobile devices (source can varry) and marks the attendace of each student present in picture

FILE	DESC
Face-DataBase	Database
dataset	(A dataset) contains dir with faces of each student
add_student.py	make dataset and entry in DB
create_person.py	generate personId from microsoft server
add_person_faces.py	generate faceIds for each face in dataset
train.py	trains the model in microsoft server
get_status.py	show the current status
spreadsheet.py	makes xls sheet named reports.xlsx
detect.py	detect faces in test picture and crops and put them in Cropped_faces directory
identify.py	identify each face and marks the attendance

How to run :

refer to this ---> youtube video

Refrence : This

facerecognition-attendance-marking's Issues

Invalid Image URL with error code 400 in add_python_faces.py

E:\Face Attendance>python add_person_faces.py user05
User.05.1.jpg
imageurl = E:/Face%20Attendance/dataset/user05/User.05.1.jpg
Traceback (most recent call last):
File "add_person_faces.py", line 42, in
res = CF.face.detect(imgurl)
File "C:\ProgramData\Anaconda3\lib\site-packages\cognitive_face\face.py", line 41, in detect
'POST', url, headers=headers, params=params, json=json, data=data)
File "C:\ProgramData\Anaconda3\lib\site-packages\cognitive_face\util.py", line 105, in request
error_msg.get('message'))
cognitive_face.util.CognitiveFaceException: Error when calling Cognitive Face API:
status_code: 400
code: InvalidURL
message: Invalid image URL.

Uploading local images

images are not uploading while running add_person_faces.py
import sys
import os, time
import cognitive_face as CF
import global_variables as global_var
import urllib
import sqlite3
import requests
from requests.packages.urllib3.exceptions import InsecureRequestWarning

requests.packages.urllib3.disable_warnings(InsecureRequestWarning)

Key = global_var.key

CF.Key.set(Key)

BASE_URL = global_var.BASE_URL # Replace with your regional Base URL
CF.BaseUrl.set(BASE_URL)

def get_person_id():
person_id = ''
extractId = str(sys.argv[1])[-2:]
connect = sqlite3.connect("Face-DataBase")
c = connect.cursor()
cmd = "SELECT * FROM Students WHERE ID = " + extractId
c.execute(cmd)
row = c.fetchone()
person_id = row[3]
connect.close()
return person_id

if len(sys.argv) is not 1:
currentDir = os.path.dirname(os.path.abspath(file))
imageFolder = os.path.join(currentDir, "dataset/" + str(sys.argv[1]))
person_id = get_person_id()
for filename in os.listdir(imageFolder):
if filename.endswith(".jpg"):
print(filename)
imgurl = urllib.request.pathname2url(os.path.join(imageFolder, filename))
imgurl = imgurl[3:]
print("imageurl = {}".format(imgurl))
res = CF.face.detect(imgurl)
if len(res) != 1:
print("No face detected in image")
else:
res = CF.person.add_face(imgurl, global_var.personGroupId, person_id)
print(res)
time.sleep(6)
else:
print("supply attributes please from dataset folder")