Face Recognition System

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:

1. • 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.