The software specified will be used for automatic check in and check out of visitors in various
universities and societies. A lot of societies and universities check in and check out visitors based on
CNIC. Most of them write the data of CNIC manually on registers which is an outdated and time-consuming process both for entering records and querying. Our software will automate this using an
OCR system.
Project Objective:
The software will be important in automating the check-in and check-out system. This process is being done in a very outdated and slow manner i.e., writing data manually in handwritten form on a register. Our software will solve this problem and provide an easy and fast way of checking in and out of visitors.
Socio-economic Benefits:
This software can be used at societies and universities that check-in and out visitors based on CNIC, and we know that a lot of them are doing it using CNIC. Even COMSATS University Islamabad, Wah Campus also checks in and out visitors based on CNIC. Apart from automating the process of checking in and out Pakistani CNIC OCR system is in great demand today because a lot of apps in this era perform identity verification and they ask for a picture of your CNIC to verify the information so our Pakistani CNIC OCR System API can be used in this area also to perform the identity verification.
Project Methodology:
The OCR System will be developed using Machine Learning and Computer Vision algorithms and this system will be integrated with a Web Interface to provide easy-to-use software. The data will be stored in a database which can later be queried and searched for past records.
Project Outcome:
The project outcome will be to deploy this project at the entrance of various universities and societies to speed up the process of checking in and out visitors and to keep the past records for searching. The API developed will be provided to various companies on a need basis to use CNIC Image to extract data.
