What are the physical dimensions, memory capacity, and user limits of the eSSL AiFace-Neptune?

The eSSL AiFace-Neptune terminal stores up to 500 facial templates, 1,000 user profiles, and up to 1,000 optional RFID cards, alongside a transaction log buffer of 150,000 records. It features a 4.3-inch touch screen and measures 130 mm (W) × 119 mm (H) × 28 mm (D) in standard casing, expanding to 130 mm × 119 mm × 55 mm when installed with the cable box.

What biometric algorithm and multi-verification modes are integrated into the eSSL AiFace-Neptune?

The terminal runs the proprietary LiveFace V3.5 biometric algorithm on an embedded Linux platform, delivering facial matching in 1 second or less (≤1s). It supports flexible multi-factor authentication combining Face, Password, and optional RFID cards, backed by anti-spoofing defense against photo prints, video replays, and 3D mask presentations.

What door hardware, communication interfaces, and management software work with the eSSL AiFace-Neptune?

The terminal provides direct access control relays for third-party electric strikes, electro-magnetic locks, door sensors, and exit buttons. It communicates over TCP/IP, built-in Wi-Fi, and USB Host, and integrates natively with eTimeTracklite attendance management software.

What is the HSN code for invoicing the eSSL AiFace-Neptune terminal in India?

The eSSL AiFace-Neptune is supplied under Indian HSN tariff code 85437099 for biometric time recorders and access control devices.

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.

Product Information

Attribute

Value

Authentication-Type

Password

eSSL AiFace Neptune biometric face reader with 4.3 inch touch screen display

eSSL AiFace Neptune Visible Light Facial Access Control Terminal

KTI01002003AINP

Product Description

The eSSL AiFace-Neptune is a high-performance Linux-based visible light facial recognition and access control terminal engineered for rapid touchless employee authentication and facility security.

Make / Brand: eSSL
Model: AiFace-Neptune
Display: 4.3-inch touch screen
Hardware Architecture: 1GHz Dual-Core CPU, 256MB RAM, 512MB ROM, 1MP Binocular Camera
Operating System: Linux
Biometric Algorithm: LiveFace V3.5 with recognition speed ≤1s
Capacity: 500 facial templates, 1,000 user profiles, 1,000 optional RFID cards
Log Buffer: 150,000 transaction records
Anti-Spoofing: Defends against print attacks (laser, colour, B/W photos), video playback, and 3D mask attacks
Access Control Interface: 3rd-party electric / electromagnetic lock, door sensor, exit button
Communication: TCP/IP, built-in Wi-Fi, USB Host
Power Supply: 12V DC, 1.5A
Optional Power: Rechargeable backup battery providing up to 2 hours runtime
Software Compatibility: eTimeTracklite

KTI01002003AINP

Price

₹ 13,099.05 excl. GST

+ 18.00% GST. Freight after pincode at cart.

Registered dealers see net rates after login

Product Details
Available Brands	Essl
Unit	Numbers
HSN Code	85437099
Dimension	L 2.8 x W 13 x H 11.9 cm cm ft in m
Warranty	12 Months No-Onsite Warranty
Tags/categories	Automation Access Control, Attendance System Attendance System Face, Finger, Card, Password Based

Usually dispatched within 4 days

	Current Product eSSL AiFace Neptune Visible Light Facial Access Control Terminal	Face, Finger Card Based Reader DS K1T341AMF	Fingerprint Card Reader DS K1201M	+ Add product to compare
SKU	KTI01002003AINP	KTI01002003FFCR	KTI01002003FFFR	—
Brand	Essl	—	—	—
Price (excl. GST)	₹ 13,099.05 excl. GST	₹ 15,849.00 excl. GST	Ask for price	—
GST %	18.00%	18.00%		—
Authentication-Type	Password	—	—	—
Certifications	—	—	—	—
Availability	Made to Order	Made to Order	Made to Order	—
			Ask for price	—

Current Product

eSSL AiFace Neptune Visible Light Facial Access Control Terminal

Face, Finger Card Based Reader DS K1T341AMF

Fingerprint Card Reader DS K1201M

+ Add product to compare

SKU

KTI01002003AINP

KTI01002003FFCR

KTI01002003FFFR

—

Brand

Essl

—

Price (excl. GST)

₹ 13,099.05 excl. GST

₹ 15,849.00 excl. GST

Ask for price

—

GST %

18.00%

—

Authentication-Type

Password

—

Certifications

—

Availability

Made to Order

—

Ask for price

—

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

eSSL AiFace Neptune Visible Light Facial Access Control Terminal

Product Description

eSSL AiFace Neptune Visible Light Facial Access Control Terminal

KTI01002003AINP

About this product .

Product Information .

Related Products .

Compare with similar products .

Product FAQ .

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

eSSL AiFace Neptune Visible Light Facial Access Control Terminal

Product Description

eSSL AiFace Neptune Visible Light Facial Access Control Terminal

KTI01002003AINP

About this product .

Product Information .

Related Products .

Compare with similar products .

Product FAQ .

Q. What are the physical dimensions, memory capacity, and user limits of the eSSL AiFace-Neptune?

Q. What biometric algorithm and multi-verification modes are integrated into the eSSL AiFace-Neptune?

Q. What door hardware, communication interfaces, and management software work with the eSSL AiFace-Neptune?

Q. What is the HSN code for invoicing the eSSL AiFace-Neptune terminal in India?

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?