Smart attandence system

Project Title

Smart attandence system

Project Area of Specialization Artificial IntelligenceProject Summary

Smart Attendance System (SAS) is a process to automatically estimate the presence or the absence of the student in the classroom by using face recognition technology. It can also be implemented in the exam sessions to ensure the presence of the student. The presence of the students can be determined by capturing their faces onto a high-definition monitor video streaming service, so it becomes highly reliable for the machine to understand the presence of all the students in the classroom.

Project Objectives

 Expected achievements in order to fulfill the objectives are:

1. Reducing time wastage during conventional class attendance.
2.  Automating the whole process so that we have a digital environment.

       3. Preventing fake roll calls as one-to-one attendance marking is possible only.

Project Implementation Method

In our proposed approach, firstly, video framing is performed by activating the camera through a user friendly interface. The face ROI is detected and segmented from the video frame. In the pre-processing stage, scaling of the size of images is performed if necessary in order to prevent loss of information. The median filtering is applied to remove noise followed by conversion of colour images to grayscale images.

Next, the features extracted from the test images are compared with the features extracted from the training images. The facial images are then classified and recognized based on the best result obtained from the combination of algorithm.

Finally, the attendance of the recognized student will be marked and saved in the excel file. The student who is not registered will also be able to register on the spot and notification will be given if students sign in more than once.

Benefits of the Project

Benefits of the project include: 

1. better security,
2. easy integration,
3.  automated identification

Technical Details of Final Deliverable

Software

Pycharm - Pycharm is able to build and run the solution examples after a proper configuration of OpenCV.

Anaconda: It is used for model testing and analysis.

Hardware

1. Camera

        2. Raspberry Pi

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Security Core Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	9500
Camera	Equipment	1	6000	6000
Raspberry pi	Equipment	1	3000	3000
Bluetooth	Equipment	1	500	500