Product guide
AMT 110-B Heavy Duty Fingerprint Time Attendance Terminal Reader is a high security multi-biometric reader that is introduced for advanced fingerprint access control and user identity verification.This helps the organizations that automate employee clock in and clock out processes and organize the attendance information for administrative use. It is also suitable for biometric applications using compatible or thirdparty development platforms. They have many features like fingerprint scanning, optical fingerprint sensor ,desktop biometric design ,500 dpi fingerprint image resolution,USB communication,Fingerprint enrollment and verification,live fingerprint detection,suitable for biometric identification,supporting compatible fingerprint template formats,compact and easy to deploy design. They were introduced for security purposes like modern security and employee management systems. Also they have compact , modern design and convenient biometric authentication.
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Developer Friendly and Durability: It supports standard Software Development Kits with RAW, BMP, and JPG image output formats. They have dual authentication by combining surface fingerprint scanning with subcutaneous finger vein patterns to drastically lower false acceptance rates. They have Water splash resistant build with an operating temperature range of -20°C to +50°C and 20% to 80% operating humidity. They have dimensions about 210.9 x 80.1 x 96 mm.
Multi-biometric identification: This makes the AMF 19+ suitable for offices, factories, educational institutions, warehouses, commercial buildings, and other controlled environments. The multibiometric indicates a flexible identification platform that support more than one biometric authentication method making it more suitable for workplaces where security and attendance management operate together.
Employee attendance management: They can be introduced for biometric access control systems for offices, institutions, commercial facilities, and other security sensitive buildings and systems. Its compact design and biometric capabilities make the product suitable for professional access management systems.
Long-Range Recognition: They are suitable for recognizing faces from a distance of up to 2 meters with an extra-wide pose angle tolerance. They also have the capacity to store up to 1,000 faces, 800 to 1,000 palms, 1,000 cards, and 150,000 transaction logs.
Multiple Communication Options: They are suitable for offices and commercial environments and help reduce physical contact during authentication.They also have many authentication methods like visible light facial recognition ,palm recognition and ID/IC card/password methods.
Touchless Verification: They have touchless face recognition and palm recognition authentications that help to detect users. They have utilized deep learning and computer vision algorithms for hygienic, fast face authentication. It is appropriate where attendance and physical access need to be managed as a part of one workflow. They are used in door controllers, locks, attendance software, network infrastructure, and HR systems should be checked before installation.
Q1: What is the return policy?
The current return window and conditions are shown in the Delivery & support section on this page and again at checkout before you pay.
Q2: Can I contact the seller directly?
Every product page links to the seller's store page, where you can browse their catalog.
Q3: What if something is wrong in my order?
If an item arrives damaged, incorrect, or meaningfully different from the listing, contact support and the order can be reviewed for next steps
Q4: What is the AMT 110-B used for?
It is designed for fingerprint based employee time and attendance management.
Q5: What is the user and template capacity?
They have the capacity to store up to 1,000 faces, 800 to 1,000 palms, 1,000 cards, and 150,000 transaction logs.
Q6: Can it work with third party access control panels?
Yes,it provides the flexibility of standalone installation or integration of standard Wiegand signals.
Q7: What hardware platform does it use?
It runs on a ZMM220 core-board with a 1.2 GHz CPU and an integrated vein sensor.
Q8: What is the user and template capacity?
They have the capacity to store up to 3,000 faces, 800 to 3,000 palms, 3,000 cards.
Q9: How fast does the face recognize work?
Recognition takes less than 0.2 seconds per user with an accuracy rate of 99% or higher.
Q10: Can it detect face masks in 0.2 second?
Yes, It supports mask wearing detection with options for a voice reminder alert while allowing access, or a forced mask alert that denies access if a mask is missing.
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