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Attendance  Systems

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Face  Recognition  Attendance  system

Multi Biometric Identification Time Attendance and Access Control Terminal AP Face201 is advanced DSP technology processing & matching face on the device. Standalone application as Attendance & Access control system.

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Canteen   Management  System

Cost effective & Robust

AP Canteen System (Thermal printer optional) eliminating food coupons and provide food consumption report. Standard system comes with RFID reader, optional samrt card & fingerprint reader.

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Event  Controller  System

Computerized Bell System AP-Bell with WiFi and QLED Dispaly is ideally suited for Schools, Offices and Factories. Activates Electrical Bell, Siren, Hooter as per User Defined Schedule. Comes with user-friendly Windows based Software.

Welcome to AP   Electronics - Attendance to Payroll solutions

AP Electronics is having a strong R&D base in all the areas - Hardware design, System program, Application program and product engineering - engineering a product from basic concept. We have been continuously adding value to our range of products without significantly adding cost. Our endeavor is to offer top of the line products at the bottom of the line prices. Arpit Enterprise and Easyway Technology Pvt. Ltd. team is proud to present you AP Electronics, a new beginning with a difference
AP Electronics
Card Technology

Some of the newest technology incorporated into time and attendance tracking include Radio Frequency Identification (RFID) chips like proximity card (RF) & mifare smart card (1k & 4k), Barcode, Magnetic, optical and ID card based.

AP Electronics
Fingerprint Recognition

We develop biometric components and technologies that through the analysis and matching of an individual’s unique fingerprint verify the person’s identity. The technology consists of biometric sensors, processors, algorithms and modules that can be used separately or in combination with each other.

AP Electronics
Face Recognition

A facial recognition system automatically identify or verify a person from a digital image or a video frame. One of the ways to do this is by comparing selected facial features from the image and a facial database. It is typically used in security systems and can be compared to other biometrics such as fingerprint or eye iris recognition systems.

Easyway Technology Arpit Enterprise

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