What is the product Face, Finger, Card, Password Based also known as?

Card-Based Access Control, Password Authentication System, Card and Password Reader, Biometric Access System, Access Control with Card, Card Reader System, Password Protected Access, Smart Card System, Identity Verification System, Card Access Management, Password Security System, RFID Access Control, Multi-Factor Authentication System, Secure Access Solution, Access Control with Credentials

What is a face-based attendance system?

A face-based attendance system is a technology that uses facial recognition to track and record employee attendance. It analyzes unique facial features to verify and authenticate employee identities for attendance tracking purposes.

How does a face-based attendance system work?

A face-based attendance system captures an employee's face image using a camera or webcam. The system then analyzes the facial features and compares them to a pre-registered database of employee faces. If a match is found, the system records the attendance, including the time and date.

What are the advantages of a face-based attendance system?

Some advantages of a face-based attendance system include: Accurate and reliable: Facial recognition technology provides a high level of accuracy in identifying employees, minimizing the risk of attendance fraud. Contactless operation: Employees can mark their attendance without physical contact, promoting hygienic practices, especially in situations like the COVID-19 pandemic. Fast and convenient: Face recognition is typically quick, allowing employees to mark attendance effortlessly without the need for cards, passwords, or biometric devices. Scalability: Face-based attendance systems can handle a large number of employees, making them suitable for organizations of various sizes. Integration capabilities: Many face-based attendance systems can integrate with other HR or payroll systems for seamless data transfer and payroll processing.

Can a face-based attendance system work in different lighting conditions?

Modern face-based attendance systems are designed to work in various lighting conditions. They often utilize infrared technology to capture facial images, making them less dependent on ambient lighting. However, extreme lighting conditions, such as very bright or dark environments, may affect system performance.

What happens if an employee changes their appearance (e.g., hairstyle, beard) in a face-based attendance system?

Face-based attendance systems are designed to account for minor changes in appearance. However, significant changes, such as drastic hairstyle changes or growing or shaving a beard, can potentially impact recognition accuracy. In such cases, the system may require employees to re-enroll or update their facial template to ensure accurate identification.

Can a face-based attendance system be fooled by using a photograph or video?

Advanced face-based attendance systems employ liveness detection techniques to prevent spoofing attempts using static images or videos. Liveness detection measures factors such as facial movement, eye blinking, or head rotation to verify the presence of a live person. It is essential to choose a system with robust anti-spoofing measures to enhance security.

What if an employee's face cannot be recognized by the system?

In situations where an employee's face cannot be recognized, employees can typically use alternative methods to mark attendance, such as a backup card or PIN. Additionally, system administrators can review and update the employee's facial template or settings to improve recognition accuracy.

Face, Finger, Card, Password Based U Face302 WIFI

KTI01002003UFAW

Face Capacity - 3000(1 :n), 3000(1:1)
Fingerprints Templates - 4000
Id Card Storage - 10,000
Transaction Storage - 1,00,000
Push Data - Yes
Communication - TCP/IP, RS232/485, USB Host, Wi-fi, 3G (Optional)
Display - 4.3-inch Touch Screen
Standard Functions - Automatic Status Switch, Self-service Query, Work Code, Sms, Dst, T9 Input, 9 Digit User Id, Scheduled Bell, Photo Id Access Control Interfaces for: 3rd Party Electric Lock, Door Sensor, Exit Button, Alarm
Wiegand Signal - Output
Optional Functions - Mifare Card, Wi-fi, 3g,
- 2000 Mah Backup Battery
Power Supply - 12v 3a
Temperature - 0 °c- 45 °c
Humidity - 20%-80%
Dimensions - 193.6 X 165.2 X 86mm (Lx W X T)
Package Weight - 1.6 Kg
Warranty - 1 Year OnSite

KTI01002003UFAW

Price

₹ 27,400.95 excl. GST

+ 18.00% Tax + Freight Charge

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Specifications for this item

Unit
HSN Code
Warranty
Tags/categories

NOS
85437099
12 Months No-Onsite Warranty
- Automation >> Access Control, Attendance System >> Attendance System >> Face, Finger, Card, Password Based

Usually dispatched within 3 days

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Face, Finger, Card, Password Based U Face302 WIFI

Face, Finger, Card, Password Based U Face302 WIFI

KTI01002003UFAW

Product Information .

Related Products .

Category FAQ .

Fire Safety Solutions

PPE Personal Protective Equipment

Road Traffic Safety Solutions

Signage Solutions

Alcohol Detector Breath Analyser

CCTV Surveillance System

Corporate Solutions

Home Security Automation Solutions

LED Searchlights

Metal Detector Solutions

Perimeter Protection Solutions

Access Control, Attendance System

Automatic Entry Solutions

House Keeping Solution

Hygiene Automation Solutions

LED Display Solutions

Office Automation Solutions

PA Solutions

Solar Solutions

Face, Finger, Card, Password Based U Face302 WIFI

Face, Finger, Card, Password Based U Face302 WIFI

KTI01002003UFAW

Product Information .

Related Products .

Category FAQ .

Q. What is the product Face, Finger, Card, Password Based also known as?

Q. What is a face-based attendance system?

Q. How does a face-based attendance system work?

Q. What are the advantages of a face-based attendance system?

Q. Can a face-based attendance system work in different lighting conditions?

Q. What happens if an employee changes their appearance (e.g., hairstyle, beard) in a face-based attendance system?

Q. Can a face-based attendance system be fooled by using a photograph or video?

Q. What if an employee's face cannot be recognized by the system?