In the entire globe any educational organization is concerned in relation to the attendance of individuals because this has an effect on their overall performances. In conventional method attendance of students are taken by calling student names or signing on paper which is extremely time overwhelmi
Web Based Iris Recognition System
In the entire globe any educational organization is concerned in relation to the attendance of individuals because this has an effect on their overall performances. In conventional method attendance of students are taken by calling student names or signing on paper which is extremely time overwhelming. To eliminate this problem one of the solutions is a biometric-based attendance system that can automatically capture students' attendance by recognizing their iris.
Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some distance.
Iris recognition is regarded as one of the most reliable, accurate and efficient biometric identification system due to the inner characteristics of iris, such as uniqueness, immovability and time invariance. The aim of this project is to design and implement an iris recognition based attendance system with the latest facilities at an accessible price to think about the financial situation of the large figure of developing countries. The project includes two parts, hardware and software. The hardware part is responsible to capture images and run required program whereas the software part is responsible for accusation, processing, iris localizing, adjusting, matching and storing data
The goal of this Project is to provide efficient solution to many problems, pattern recognition is used to automatically recognize different entities from an image, every human being is unique based on height, weight, physique, Traditional systems such as passwords pin codes or even modern biometric systems are not that much secure, hence the feature of iris recognition is much secure as compared to traditional systems.
| Our system helps Speech-language pathologists save hours they usually spend by assessing a patient with their conventional ways. Firstly, patient will record audio by reading a predefined passage in the application and submit the audio. Next, the system will analyze the audio and calculate the parameters required for the assessment such as:
Once the system has calculated the parameters mentioned above, the patient will be able to view their result. After that, the patient can view profiles of SLP’s and send requests to their selected therapist. Furthermore, patients can perform assessments numerous times and can track their progress. SLP on the other end can accept or reject a patient’s request. Once they accept the request, they will be able to view patient’s profile, history and detailed assessment results. Lastly, on the basis of patient’s result, they can either give recommendations or notify for a one to one session. |
Our system helps Speech-language pathologists save hours they usually spend by assessing a patient with their conventional ways. Firstly, patient will record audio by reading a predefined passage in the application and submit the audio. Next, the system will analyze the audio and calculate the parameters required for the assessment such as:
Once the system has calculated the parameters mentioned above, the patient will be able to view their result. After that, the patient can view profiles of SLP’s and send requests to their selected therapist. Furthermore, patients can perform assessments numerous times and can track their progress. SLP on the other end can accept or reject a patient’s request. Once they accept the request, they will be able to view patient’s profile, history and detailed assessment results. Lastly, on the basis of patient’s result, they can either give recommendations or notify for a one to one session.
Accurate matching performance.
The final deliverable of " Iris based attendance system " will be an web based application along with documentation manual having all technical details of the application. It will be developed in python along with some feasible database. We will develop a python's api that we will integrate with our web application.
| Elapsed time in (days or weeks or month or quarter) since start of the project | Milestone | Deliverable |
|---|---|---|
| Month 1 | Screen | Complete user interfaces login signup with complete authentication. |
| Month 2 | Screen | Complete user interfaces login signup with complete authentication. |
| Month 3 | Dataset | Gathering dataset and training of dataset |
| Month 4 | Dataset | Gathering dataset and training of dataset |
| Month 5 | Testing | Testing the trained dataset and checking the accuracy of model |
| Month 6 | Testing | Testing the trained dataset and checking the accuracy of model |
| Month 7 | Final | Developing final product which will be able to scan iris and mark attendance of identified person |
| Month 8 | Final | Developing final product which will be able to scan iris and mark attendance of identified person |
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