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Frequently asked questions
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Mobile Attendance
To install the biometric attendance machine, follow these steps:
1. Choose a suitable location for the device.
2. Mount the device securely on the wall.
3. Connect the device to a power source.
4. Configure the device settings according to the user manual.
5. Enroll employees' biometric data into the system.
6. Test the device to ensure it is working correctly.
Face recognition analyzes unique facial features—such as the distance between the eyes, cheekbone shape, jawline, and contours—to verify identity. Fingerprint recognition scans the unique ridges and valleys on your fingertip. Both methods are biometric authentication but use different types of biological data.
Yes, you can integrate many biometric attendance devices with your HR or attendance software, as long as the systems are compatible. You should match the device data to the correct fields in your HRMS or time-tracking platform. If you use Insignia’s web-based attendance tools, our team can help you plan the integration and get it working smoothly.
Face recognition gives you a fully contactless experience because you only need to look at the device. That makes it a strong fit for offices, schools, factories, and other busy spaces where hygiene and speed matter. Fingerprint verification still works well, but it requires physical contact with the sensor.
Accuracy can vary based on the quality of the hardware and algorithms used. Fingerprint recognition is generally seen as slightly more mature, especially in controlled environments, and tends to have a lower False Acceptance Rate (FAR). However, advanced face recognition technologies equipped with 3D sensors and deep learning algorithms have closed the gap significantly. These systems now detect liveness and prevent spoofing using photos or videos, making them highly reliable.
Face recognition usually offers a smoother user experience. There's no need to stop and touch a sensor—just glance at the terminal and go. This makes it well-suited for high-traffic scenarios. Fingerprint devices require users to press a specific area, which can slow things down, particularly when the scanner has trouble reading a fingerprint on the first try.
Yes, both are secure, but in different ways. Fingerprints are very difficult to forge, but sensors can occasionally be deceived by lifted prints or molds—although modern scanners have anti-spoofing features. Face recognition systems with 3D cameras and liveness detection help prevent spoofing with printed photos or videos. That said, multi-factor authentication, such as combining biometrics with PINs or access cards, significantly enhances security for either method.
Face recognition is usually the better fit for large user groups because it is fast, touch-free, and easier to use in high-traffic areas. It works well in offices, factories, schools, and other busy sites where you want smooth entry and attendance tracking. Fingerprint systems can still work well, especially in smaller setups or where upfront cost matters more.
Fingerprint technology is more familiar and trusted by many because it's been used for years in everything from smartphone unlocking to time attendance machines. However, users are increasingly drawn to the convenience and touchless appeal of face recognition. In environments where user experience matters—like customer-facing lobbies—face recognition tends to feel more premium and modern.
Usually, yes. Fingerprint systems often have a lower upfront cost, while face recognition devices can cost more because they use advanced cameras and processing. In return, face recognition can improve speed, reduce touchpoints, and support a more modern attendance process, which may add value over time.
Yes, you can integrate biometric devices with other systems such as attendance software, access control, CCTV, smart locks, visitor tracking, and mobile apps. This helps you manage security and employee time tracking from one connected setup. Insignia focuses on integrated solutions, so you can build a system that fits your site and workflow.
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