Face Recognition Based Gate Pass System
Abstract : A software web application based on facial recognition is used to create a gate pass system. During college hours, it coordinates the student's gate pass request and leave. This system is ready for use and is simple to operate and manage.
A gate pass security system is what this system is called. Its main goal is to keep the campus safe from outside visitors and to keep track of permissions. The Face Recognition based Gate pass system assists both the organization and the guest in managing their Gate passes.
We can quickly enter the entry and exit of a student, teacher, and unknown guests using the gate pass system. One of the many benefits of employing this system is that all of a person's entry and departure records are stored and accessible.
This system is simple to use. The goal of the project 'Face Recognition based Gate-pass System' is to keep track of the user's information and actions. It streamlines the process and reduces paperwork. We are providing the electronic version of the paper gate pass.
In Existing System The Gate Pass Management process was computerized to have an easy mechanism for resident students to apply for a Gate Pass in the campus.
The Gate Pass system is to ensure that the information on students’ exit from and entry to the campus is maintained. Until recently this was managed through a manual system. This had its limitations with regard to application process, approval system, etc.
Human Error: Manual systems are prone to mistakes such as incorrect data entry or misplacement of documents. These errors can lead to unauthorized access or denial of entry.
Inefficiency: Processing and managing gate passes manually is time-consuming. This can slow down entry and exit processes, causing delays and reducing overall efficiency.
Lack of Real-Time Monitoring: Manual systems often lack the capability for real-time tracking of access. This makes it difficult to monitor who is entering or leaving at any given time.
Security Risks: Physical documents can be lost, stolen, or tampered with, leading to potential security breaches. Manual systems may also lack the detailed audit trails that automated systems provide.
High Administrative Costs: Maintaining and managing a manual gate pass system involves significant administrative overhead, including paperwork, filing, and manual record-keeping
To cope with the outpass process at the college, the proposed system employs network ideas. By transmitting the gate pass through face matching, the system simplifies the procedure. As a result, the gate pass's data cannot be changed.
The technology also makes it simple to keep track of and save the time log. Eigen face approach is one of the simplest and most efficient methods to overcome these obstacles in developing a system for Face Recognition, and it has been implemented in the gate pass generation in college .
Face Recognition is a new field of research with many challenges, such as large sets of images with noisy data, improper illuminating conditions, and so on. To deal with bad illumination and face alignment issues, several face matching techniques are utilised to preprocess the image.
We present a novel software tool for face matching and pass creation on a college campus in this study. This application is fully applied with the camera. If the student wants the out pass, he or she should sit in front of the camera and have their face matched for the next phase.
Initially, the software takes the user's face via the camera and uses an enhanced canny edge detection algorithm. The proposed system's main goal is to offer the college with gate pass security. Face recognition is implemented by taking a person's picture and comparing it to a database.
The system will allow an authorised individual to exit the campus, and if the person is deemed to be approved, the system will generate a gate pass using effective rule matching. The face detection system and the generation of the gate pass for the authorised individual are the two aspects of this system
Privacy Concerns: Face recognition systems collect and store biometric data, raising significant privacy issues. Users might be uncomfortable with their facial data being recorded and used for access control.
Data Security Risks: Biometric data is sensitive, and if compromised, it cannot be changed like a password. Breaches in security could lead to misuse or identity theft.
High Initial Costs: Implementing a face recognition system involves substantial upfront costs for hardware (such as cameras and sensors) and software, as well as potential integration with existing systems.
Accuracy and Reliability Issues: Face recognition systems can sometimes struggle with accuracy, particularly in challenging conditions such as poor lighting, extreme angles, or changes in appearance (e.g., facial hair, glasses). False positives or false negatives can occur.
Technical Limitations: The performance of face recognition systems can be affected by technical limitations such as low-resolution cameras or outdated software. Regular maintenance and updates are necessary to ensure effectiveness.
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