Oligark Commerce (OPC) Private Limited

The ZKTeco SpeedFace-V5L is a multi-biometric access control and time attendance terminal using advanced visible light facial recognition, fingerprint, and palm recognition, with an anti-spoofing algorithm for enhanced security. It supports contactless identification, mask detection, and can optionally detect body temperature. The device integrates with mobile apps for video intercom and access management, and can also use QR codes or RFID cards for authentication.  Key Features

• Visible Light Facial Recognition: Utilizes intelligent engineering algorithms and computer vision technology for fast and accurate recognition. 
• Multi-Biometric Verification: Supports identification via face, fingerprint, and 3-in-1 palm recognition (shape, print, vein) in 0.35 seconds. 
• Anti-Spoofing: An advanced algorithm detects and prevents fake photos, videos, and 3D mask attacks. 
• Hygiene & Safety: Touchless authentication and mask detection provide better hygiene, with optional body temperature measurement for versions like the TD/TI models. 
• Contactless Access Options: Can use QR codes from mobile apps, making it convenient for entry. 
• Connectivity: Supports TCP/IP, Wiegand, RS485, and Wi-Fi (optional) for integration into access control systems. 
• Mobile Integration: Compatible with ZKBio Access and ZKBioTalk mobile apps for management and two-way video intercom. 

The ZKTeco EFace10 is a touchless facial recognition terminal for time attendance and access control, featuring Visible Light facial recognition technology for improved speed and accuracy, and anti-spoofing capabilities to prevent fraudulent access. Key features include a 4.3-inch touchscreen, a capacity of 500 faces, and support for Ethernet communication for integration with ZKBioAccess IVS software. It also offers features for user management, access control, and data management via USB or network connections.  Key Features

• Touchless Facial Recognition: Uses Visible Light technology for quick and accurate identification. 
• Enhanced Anti-Spoofing: The applied Deep Learning algorithm enhances its ability to resist spoofing attacks. 
• Capacity: Can store up to 500 faces. 
• User Capacity: Supports up to 1,000 users for time attendance. 
• Display: Features a 4.3-inch touchscreen for user interface and settings. 
• Communication: Supports Ethernet for network connection and integration with cloud servers like ZKBioAccess IVS. 
• Deep Learning Algorithm: Improves accuracy, speed, pose tolerance, and anti-spoofing capabilities. 
• Access Control: Designed for access control applications, allowing connection to various locks. 
• User and Data Management: Includes options for user management, data upload/download via USB, and attendance record search.