eSSL AiFace Jupiter AI face recognition attendance machine recognises masked faces at distance using deep learning. 6,000 face, 200K transactions, 5-inch touch. Touchless biometric attendance for hospitals, pharma and clean rooms.
eSSL AiFace Jupiter — Mask-Capable AI Face Recognition Attendance Machine
₹26,269.00
10 in stock (can be backordered)
10 in stock (can be backordered)
Description
A hospital ward at Manipal needs nurses to clock in with surgical masks on, in under 30 seconds, without breaking infection-control protocol. The ward sister has been managing exceptions on paper because the existing fingerprint reader can’t be touched in PPE. The eSSL AiFace Jupiter is built for exactly this — AI face recognition that handles masked faces at distance using deep learning, fully touchless, with 6,000 face templates and a 200,000-transaction local log to handle the full nursing rotation. The Jupiter is the face recognition attendance machine for sites where masks are not the exception but the daily uniform.
Why HR managers pick the eSSL AiFace Jupiter
This is the face recognition attendance machine for high-mask environments — hospitals, pharma clean rooms, food processing, semiconductor fabs. Deep-learning face recognition trained against masked faces matches reliably from a distance, without forcing staff to lower or adjust the mask. Six thousand face templates handle an entire hospital’s nursing and clinical staff comfortably; the 200,000-transaction local log buffers weeks of biometric attendance during any network outage. Anti-spoofing rejects photos, replay videos and 3D masks, which combined with the mask-recognition model gives clean attendance data even in PPE-heavy zones.
The recognition engine
The eSSL AiFace Jupiter runs AI visible-light face recognition with the mask-at-distance deep-learning model layered on top. Storage is 6,000 face templates, 10,000 card credentials, and a 200,000-transaction local log. The WDR camera handles bright sterile-corridor lighting and dim ward zones equally. Matching speed is sub-second across the full enrolment — important when a ward shift handover involves 40 nurses passing the terminal in under five minutes. Anti-spoofing rejects printed photos, replay videos and 3D masks alongside the mask-capable face matching.
How it talks to your systems
The AiFace Jupiter connects over TCP/IP for wired LANs (most hospital environments), Wi-Fi for sites where running Ethernet to specific zones is impractical, plus Wiegand and RS485 for integration with hospital access-control panels. The natural pairing for staff attendance is eTimeTrackLite. For HMIS (Hospital Management Information Systems), the Jupiter exports standard biometric attendance feeds accepted by major Indian HMIS platforms.
Daily operation
A 5-inch touch screen drives the user interface — clearly visible in standard hospital corridor lighting. Wall-mounted at chest height, the Jupiter handles ward-handover throughput without any administrator intervention. Standard 12V DC power, with provision to wire a Mini UPS for sites where mains is unreliable. The touchless face recognition operation is essential in clinical environments — nothing touched, no contamination risk, full PPE compatible.
At a glance
- Brand+Model: eSSL AiFace Jupiter
- Recognition modes: Face (mask-capable), RFID card, password, multi-factor
- Face template capacity: 6,000
- Card capacity: 10,000
- Transaction capacity: 200,000
- Display: 5-inch touch screen
- Mask support: Deep-learning model for masked face recognition at distance
- Communication: TCP/IP, Wi-Fi, Wiegand, RS485
- Anti-spoofing: Photos, videos, 3D masks rejected
- SKU: AI-FACE-JUPITER
What buyers usually ask before ordering
Will face recognition work with masks on?
Yes — this is the Jupiter’s headline feature. Deep-learning trained against masked faces handles surgical, N95 and cloth masks reliably at typical reading distance. Hospital and pharma sites are the primary use case.
Does it integrate with our HMIS or HRMS software?
eTimeTrackLite is the primary HRMS pairing. For HMIS integration, the Jupiter feeds standard biometric attendance protocols accepted by major Indian HMIS providers, and eSSL publishes an SDK for custom connectors.
How fast is the matching speed?
Sub-second from face detection to identity confirmation, mask or no mask. A 40-nurse ward handover at the Jupiter clears in under three minutes typically.
What’s in the box?
The eSSL AiFace Jupiter terminal, 12V DC power adapter, mounting bracket, screws and quick-start guide. The Mini UPS for outage protection is sold separately.
Is there a mobile app or cloud dashboard?
Attendance feeds eTimeTrackLite with cloud reporting and mobile apps for HR and ward administrators. For HMIS integration, the Jupiter connects through standard hospital management interfaces.
Related face recognition attendance machines
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- eSSL AiFace Eris (slim lobby variant)
- All biometric attendance machines
Sold by AmpleTrails. Questions on integration, bulk orders or installation? Email [email protected], or call +91 9315441053 / +91 9034757673.

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