Since the emergence of the COVID-19 pandemic, there has been a significant increase in demand for contactless technologies and a substantial rise in their usage. In a very short period, these technologies have replaced many traditional methods in fulfilling administrative and supervisory functions.
A face recognition device, which stores the physical facial structure of an individual in its memory, instantly copies the face of the person in front of the camera and compares it with the information in the database. If the comparison results in a match, the person is granted access; otherwise, access is denied.
Face recognition has become one of the widely adopted technologies across a broad spectrum, ranging from law enforcement agencies to office, site, and hotel security. While biometric technologies such as fingerprint and palm recognition have long been used by companies as tools for monitoring employees, face recognition has an additional advantage in that it does not require any physical contact with the equipment or hardware used.
Advantages of Face Recognition System
- Facilitates Time Tracking: Traditional attendance systems like card scanning can be misused by employees scanning the identity cards of their colleagues in case of late arrival or absence. This not only negatively impacts overall productivity but also leads to errors in payroll. Face recognition, requiring the physical presence of the employee to mark attendance, can reduce the risk of time theft during office hours.
- Ease of Use: Face recognition technology provides significant ease of use for employees, whether in an office or on a construction site. Employees can be easily enrolled, making the process fast and seamless. As face recognition does not rely on any identity objects or ID cards, it proves to be a practical solution for employees.
- Cost-Effective: A face recognition-based Time and Attendance (T&A) system can be implemented as an easily accessible mobile or web application. Since it does not require any additional technology or hardware, the maintenance costs for your company can be significantly reduced. Once installed, a face recognition system eliminates the need for individual card or ID production for your employees, contributing to budget savings.
- Easier than Other Biometric Solutions: The process of enrolling facial data for an employee in a face recognition system is much simpler and user-friendly compared to security systems using fingerprint biometrics. Face recognition systems offer more flexibility in capturing a face, thanks to the distance from the camera and the wider angle it provides, resulting in more accurate face images.
How Does a Face Recognition System Work?
A face recognition-based T&A system is an application that performs two main tasks: identifying a person based on basic parameters and verifying their identity and authorization using a database. This technology combines artificial intelligence and machine learning to create an advanced solution. While face recognition systems may differ in functionality and features, the process of automating it using face recognition software generally involves the same basic steps.
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Data Collection: The initial step is to collect the data that the system will use for face recognition. This typically includes photographs of employees’ faces taken from different angles and under various lighting conditions. This data is then stored in a database.
- Face Detection: Following data collection, face detection is used to determine where the face is located in the image captured by the camera. This step is crucial to identify the boundaries and position of the face in the image.
- Facial Feature Extraction: After face detection, the distinct features of the face are extracted. These features are often based on the positions of the eyes, nose, mouth, and other facial regions. This step creates a numerical vector representing the face.
- Database Matching: The created facial feature vector is compared with pre-recorded facial feature vectors in the database. This comparison is done using similarity measures.
- Evaluation of the Match: The similarity value between the facial features is evaluated. If the match is above a predefined threshold, it is accepted. This threshold determines how much similarity is required for a match.
- Identity Confirmation: If the match is successful, the face recognition system confirms the identity of the person. At this stage, the person’s name, ID number, or other information is associated with the matched face.
- Recording and Attendance Control: After successful recognition, the system records the attendance status of the person. This information is typically stored in a database or through reports. If a person is absent, the system can also record this.
- Real-time Processing: All these steps occur in real-time, meaning the face recognition process is rapid and instantaneous.
How to Choose the Right Face Recognition System:
- Analyze the Current Attendance System: Evaluate your company’s current attendance management processes and identify the challenges or limitations you face. Determine which areas, such as accuracy, efficiency, or automation, you want to focus on when developing a new attendance system with face recognition.
- Research Integration with Existing Systems: Investigate whether the face recognition system integrates seamlessly with your existing infrastructure, such as cameras, networks, or attendance management software. Technical support is crucial to ensure a smooth and uninterrupted integration process.
- Train Your Employees: Communicate with your employees to ensure they understand how the new attendance system with face recognition works and how it will be implemented. Address any concerns about privacy or questions about how the system operates as a priority.
By following these steps, you can confidently adopt face recognition technology, a feature offered with the assurance of Ergosis. Face recognition systems presented with the Ergosis guarantee stand out as the most advanced products in the market with their other biometric features.
IXM TITAN
TITAN boasts a 21.0 Megapixel main camera with the ability to capture ultra HD 4K videos and an intelligent face recognition algorithm. This algorithm rapidly detects live facial recognition, even for partial profiles, in less than one second. Additionally, it provides automatic demographic estimation and face pose detection through face tracking and video-based recognition features. With its wide-angle camera views, TITAN enables video surveillance and video communication in open areas. TITAN is also equipped with an integrated Thermal Infrared Sensor for scanning body temperature during face recognition. This module works seamlessly with other features of TITAN, is easy to install, and enhances existing TITAN products.
IXM TOUCH 2
The IXM TOUCH 2 model is introduced as a versatile and cost-effective biometric device with the new face recognition feature. This feature offers an interactive solution for access control, workforce management, and intercom. With its capacitive touchscreen, it allows quick setup and configuration, making TOUCH 2 a versatile product. The device, through its face recognition capability, provides a wide capacity for different user groups.
Hikvision DS-K1TA70MI-T
Hikvision DS-K1TA70MI-T stands out as a Thermal Imaging Face Recognition Terminal. This terminal offers temperature measurement and mask detection capabilities. It alerts about wearing a face mask and reminds about mandatory mask usage. It provides audible warnings if abnormal temperatures are detected. Combining face recognition with Mifare card verification, the device offers multiple EACS (Employee Attendance Control System) scenarios, such as entrance and exit control, break time entrance and exit control, and overtime entrance and exit control. The device supports 6000 face recognition, 6000 card capacity, and logs 100,000 records. With a temperature measurement range of 30°C to 45°C, accuracy of 0.1°C, and deviation of ± 0.5°C, it supports recognition distances of 0.3 to 1.8 meters and communicates via TCP/IP. The face recognition time is stated to be < 0.2 seconds per user, with a face recognition accuracy rate of ≥ 99%. The device operates on 12VDC 3.3A power supply (not included).