Face Recognition Attendance Machine Ultimate eFace 990 | eSSL

Face Recognition Attendance Machine eFace 990 | eSSL

Face Recognition Attendance Machine eSSL eFace-990 is a Multi-Biometric Time Attendance & Access Control System capable of duplicate face detection. With this device, you can record attendance and restrict access by using any combination of RFID cards, face, and fingerprint authentication.

eSSL Multi Bio faces attendance machine eFace 990 is an advanced model with added features and the latest technology of face scanning and time attendance management. eSSL eFace-990 facial biometric machine has CE, FCC, and ROHS standard quality and conformity certifications.

This eFace reader biometric attendance machine model has a 6000 face capacity, 10000 fingerprints capacity, and 10000 biometric machine access cards for attendance punching. LAN, inbuilt battery backup (O), USB, and cloud connectivity make this device more versatile for every type of usage in the corporate area.  Users can punch their attendance through fingerprint, card, and password.

eSSL biometric attendance system has etimetracklite software in which you can configure the face biometric, fingerprint biometric, or access card data for database transfer to other machines and security of attendance data.

etimetracklite web version brings the simulation of all devices which works for a single organization and can synchronize the data from the server every second on a real-time basis. You just need to add the device over the internet and configure the machine and software from both ends.

Cutting-Edge Face Recognition Technology

Welcome to the future of attendance management with the Face Recognition Attendance Machine eFace 990 by eSSL. Embrace the cutting-edge face recognition technology that sets this device apart.

Bid farewell to traditional methods as the Face Recognition Attendance Machine eFace 990 ensures accurate attendance tracking through facial recognition. Revolutionize your workplace security with a system that combines precision and convenience, providing an unparalleled solution for time and attendance management.

Seamless Integration for Enhanced Workplace Efficiency

The Face Recognition Attendance Machine eFace 990 goes beyond attendance tracking; it seamlessly integrates into your workplace, enhancing overall efficiency. With its advanced face recognition capabilities, this device becomes an integral part of your daily operations.

Say goodbye to manual attendance records and hello to a system that streamlines processes, allowing you to focus on what truly matters – the growth of your business. Elevate your efficiency with eFace 990.

User-Friendly Interface for Effortless Operation

Navigate through attendance data effortlessly with the user-friendly interface of the Face Recognition Attendance Machine eFace 990. Designed with simplicity in mind, this device ensures that both employees and administrators can access and manage attendance records with ease.

Enjoy the convenience of a system that not only prioritizes security and efficiency but also provides a user-friendly experience. Empower your team with the Face Recognition Attendance Machine eFace 990 for seamless time and attendance management.

Product Specifications:

Face Recognition Attendance Machine eSSL eFace-990 Multi-biometric Time Attendance & Access Control System Specs:
Storage capacity	Face capacity	6000(1:N), 10000(1:1)
	Fingerprints templates	10,000
	ID Card Storage	10,000
	Transaction storage	1,00,000
	Push Data	Yes
	Communication	TCP / IP / USB Host / Wiegand Output
	Display	4.3-Inch Touch Screen
Standard Functions	Standard Functions	ID Card / Work Code,
		DST / SMS / Bell Schedule,
		Attendance Status Auto-Switch,
		Record Query / Photo ID
Optional Functions	Optional Functions	HID Proxy / Mifare Card Reader,
		Wi-Fi / 3GExternal Printer,
		Battery (2,000 mAH),
		POE(Standard IEEE 802.3at)
Power Supply	Power Supply	Operating Voltage 12V DC
		Current Draw < 500 mA
Special Function	Special Function	Multiple Biometric Verification Modes,
		Alive Finger Detection,
		Duplicate Face Detection