Face Recognition System

Face recognition technology within a face recognition system is a biometric identification method that scans a person’s face to identify unique features for authentication or identity detection. Recognized as the most advantageous and secure control and monitoring system in terms of reliability, touchlessness, hygiene, it is integrated into employee tracking programs to securely perform monthly attendance calculations based on entry and exit times.


The usage area of face recognition devices is quite extensive and can be easily utilized in businesses, factories, and holdings of all scales. They are progressive, technological, and the most advanced biometric products designed to date. Face recognition technology, being one of the most effective methods to increase the security level and control access, provides a more secure authentication guarantee compared to other security systems such as identity cards or passwords. This is due to the uniqueness of individuals’ faces, which is not easily imitated.

Face recognition systems cater to the security system needs of different sectors, ranging from small businesses to large facilities, private companies to public institutions. By providing advanced data collection and analysis capabilities, they can track the number of individuals or demographic information. This data can be used for security and operational analysis, leading to better decision-making. This high-level security helps reduce security threats such as identity theft and fraud.

The face recognition system provides more reliable authentication against fraud attempts by using the unique features of faces. It becomes more challenging for fraudsters or unauthorized individuals to gain access to the system. While increasing the security level, face recognition security systems provide user-friendly operation. Widely used in organizations and applications of various scales, it offers a fast, secure, and effective identity verification process.

Frequently Asked Questions

Face recognition technology generally operates with the following steps:

    • Face Detection: The initial step is to detect the face in an image. This recognition process is performed through cameras or sensors. Algorithms and mathematical methods are used to determine the position and size of faces in the image. The distance between the eyes and the distance from the forehead to the chin are typically determinants in face detection.
    • Facial Feature Discrimination: Face recognition programs within face recognition systems determine specific features of detected faces by making comparisons among faces. These features include the position of the eyes, nose structure, lips, chin line, and other characteristic points of the face. Facial features, as a unique mathematical formula known as a face signature, provide a top-level security experience.
    • Matching and Comparison: The face recognition program within the system compares the determined facial features with stored faces. This involves matching the features with facial signatures stored in a database. The matching process creates a similarity between the real-time scanned face signature and a previously recorded face signature. If your face completely matches one of the stored face signatures, you gain access permission.

Face recognition is the process of recognizing and authenticating an individual’s identity using their face. It selects, analyzes, and compares the face details of a person based on biometric measurements. Face recognition technology relies on the development of a technology that can convert the similarities and differences of various facial images into numerical expressions. Face recognition systems can be preferred in various application areas requiring security and access control. They are used in passport control at airports, mobile devices, site and apartment entrances and exits, and various identity verification and public safety applications.

Face recognition systems are a technology used in various application areas such as security and access control. These systems detect the unique features of a person’s face by scanning it and use biometric data for identification or identity verification. Face recognition systems offer a range of products and solutions with different features, scales, and capabilities, resulting in a wide range of prices.

Factors affecting the prices of face recognition systems include:

    • System Features: Different face recognition systems have different features. Some systems are basic with essential face recognition capabilities, while others are more advanced, offering integrated systems that provide comprehensive security. For example, the presence of features such as multiple cameras, fingerprint readers, or a large database capacity in a system can affect the price.
    • Intended Use: Face recognition systems are designed to adapt to institutions of different scales. While smaller and more affordable solutions may be available for individual users or small businesses, larger and more complex systems may be required for large organizations or facilities. The scope and complexity of the installation are significant factors that determine the price.
    • Additional Hardware and Software Requirements: Face recognition systems often can integrate with other components and may require additional hardware or software. For example, camera systems, databases, servers, or custom software solutions for integration may be necessary. These additional requirements can increase the total cost.

It is challenging to specify the prices of face recognition systems with a specific figure because they vary depending on different features and installation purposes. Ergosis offers face recognition systems equipped with the latest technology at affordable prices, providing services to meet your needs.

Get A Quote!

Get a quote right away for solutions tailored to your needs!