Description
How Does a Facial Recognition Attendance System Work in Offices?
A face recognition attendance system in offices uses biometric technology to identify and verify employees based on their facial features, making attendance tracking accurate, fast, and contactless. The AI24F automatically captures and matches facial data during employee check-in and check-out, helping reduce manual attendance errors and proxy attendance issues.
AI-Powered Facial Recognition & Fingerprint Authentication
The AI24F AI-Powered Facial Recognition Attendance System delivers fast and contactless employee verification using advanced AI facial recognition technology. It accurately identifies users within seconds, helping businesses manage attendance efficiently in busy workplace environments.
Dual Biometric Attendance Verification
In addition to facial recognition, the AI24F supports fingerprint authentication for enhanced identification accuracy and improved workplace security. This dual biometric capability helps reduce attendance fraud while ensuring reliable employee tracking.
Cloud-Based Attendance Management
The AI24F supports cloud-based attendance monitoring and centralized employee data management, making it easier for businesses to track workforce activity and maintain accurate attendance records across multiple departments or locations.
Ideal for Offices, Factories & Warehouses
This smart face recognition attendance system is suitable for offices, factories, warehouses, and high-traffic workplaces requiring accurate biometric attendance management and secure employee verification.
Businesses looking for a reliable face recognition attendance system in Sri Lanka can contact Btekworld for complete biometric attendance and access control solutions, including installation, system setup, and technical support.
| Feature | Specification |
|---|---|
| Brand Name | Ti-Mark |
| Model Name | TM-Ai-24F Face & Fingerprint Time Attendance & Access Control Terminal |
| Manufactured Country | China |
| Country of Origin | China |
| Display | 4 Inch HD Touch Screen with Touch Keypad |
| Operating System | Linux 4.19 |
| CPU & NPU | 800M Single Core ARM Cortex A7 & 800G (0.8T) Hashrate, 1.6 GHz Processor Speed |
| USB | USB 2.0, supports U Disk for import/export data |
| RAM | 256MB DDR 3L |
| ROM | 4G EMMC |
| Camera | 1MP HD Color Camera, 1MP HD Infrared Camera |
| Fingerprint Sensor | 500 DPI |
| Fill Light | LED Fill Light & Dual Infrared Fill Light (auto-adjusts to natural light) |
| Communication | TCP/IP, USB Type-A, Wi-Fi |
| Product Size | 152 × 152 × 30 mm |
| Languages | English, Spanish, Turkish, Arabic, Thai, Persian, and more |
| Power Supply | DC 12V/1A | 2000 mA, 7.4V Built-in Battery Backup (Optional) |
| Working Temperature & Humidity | 0 – 45°C | 20% – 90% |
| Working Environment | Wide Dynamic Range; supports accurate face recognition under strong light, dark light, and backlight |
| FAR (False Acceptance Rate) | 0.001% |
| FRR (False Rejection Rate) | 0.1% |
| Verification Methods | Face, Fingerprint, ID Card, Password, or Combination |
| Weight | 220 g |
| Face Capacity | 5,000 |
| Fingerprint Capacity | 10,000 |
| Card & Password Capacity | 15,000 |
| Logs Capacity | 500,000 |
| Face Recognition Speed & Angle | < 0.2 Seconds | 0 – 30° |
| Face Recognition Distance | 0.5 m – 2.5 m (0.5 m – 1.5 m in live recognition mode) |
