Smart Attendence System

Smart Attendence Aystem is an  attendance managment system that bring a incremental innovation in the field of attendance system that are currently working in different institutes and working places.our system is using a image prcessing techniques in order to mark the attendence

2025-06-28 16:35:05 - Adil Khan

Project Title

Smart Attendence System

Project Area of Specialization Software EngineeringProject Summary

Smart Attendence Aystem is an  attendance managment system that bring a incremental innovation in the field of attendance system that are currently working in different institutes and working places.our system is using a image prcessing techniques in order to mark the attendence of the attendee.SAS is using a Raspberry pi camera as an input device and raspberry pi as operating hardware plateform. SAS contains a web portal and many features

Project Objectives

Our aim of making SAS that

Project Implementation Method

In our project, first, we are developing the front end of the system including portal and image processing software after that we are going to train the data set of images using different algorithms. After that, we going to implement that portal in a real environment and image processing engine on raspberry pi.

Benefits of the Project

Benefits of the project

Educational Benefits

Financial Benefits

Public Benefits

Technical Details of Final Deliverable

Hardware component

Raspberry pi

Raspberry pi Camera

Component

Sub component

Plate form/library

/framework

languages

database

Image processing engine

Face detection

Face recognition

Front end

Open cv

Dilib

Face_recognition

Keras

python

Mysql

Web portal

Front end

Backend

django

Html

Css

Bootstrap

javascript

Hardware component

Raspberry pi

Raspberry pi Camera

Component

Image processing engine

Web portal

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

Component

Sub component

Plate form/library

/framework

languages

database

Image processing engine

Face detection

Face recognition

Front end

Open cv

Dilib

Face_recognition

Keras

python

Mysql

Web portal

Front end

Backend

django

Html

Css

Bootstrap

javascript

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