Buddy punching and manual attendance sheets quietly bleed payroll accuracy across retail floors, factory shifts, and field crews. ERPNext ships a solid HR core — the Employee Checkin DocType, Shift Type, auto-attendance, and the check-in/out logic that rolls into Attendance and payroll — but out of the box it has no biometric identity layer. A worker can check in a colleague, a shared PIN gets passed around, and a photo taken on a phone proves nothing about who was actually standing there. Native ERPNext trusts whoever holds the device; it has no way to assert "this face belongs to this Employee."

ECOSIRE builds a proper Frappe app (installed with bench get-app and bench install-app, packaged and fully executed on Frappe/ERPNext v16 (v15 builds on request)) that adds that missing identity layer without forking core HR. We add custom DocTypes — a Face Enrollment record holding per-employee face templates as embeddings (never raw photos in plain storage), a Kiosk Device registry, and a Face Checkin Log — plus whitelisted server methods (@frappe.whitelist()) exposed over the Frappe REST API that a tablet kiosk PWA or a mobile selfie screen calls. On capture, the client posts a frame; a liveness / anti-spoofing pass rejects printed photos and screen replays; the embedding is matched against enrolled templates at a configurable 95–100% confidence threshold; on a match the method creates the Employee Checkin exactly as ERPNext expects, so Shift Type assignment, auto-attendance, and payroll continue to work downstream with zero changes to your existing flow.

Technically, enrollment and matching are wired through hooks.py doc events and scheduler events: a doc_events hook on Employee can trigger an enrollment reminder, and a scheduler_events job reconciles offline captures and prunes stale device tokens. Client Scripts drive the kiosk and selfie UI validation, Server Scripts (where you prefer low-code) can enforce geo-fencing or shift-window rules, and everything respects Frappe permissions — we ship dedicated Role Profiles (Kiosk Operator, HR Manager) so an operator device can create check-ins but never read salary data. Offline capture is a first-class feature: the kiosk queues punches locally when the network drops and syncs them through an idempotent whitelisted endpoint once connectivity returns, so a warehouse dead-zone never costs you an attendance record.

The app is finished, tested, and ready to install: purchase gives you immediate access to the packaged source for bench get-app / bench install-app, and ECOSIRE installs, configures, and commissions it on your production ERPNext as part of the price - enrollment separation across companies, kiosk-operator roles that cannot read HR or salary data, and a verified live check-in before we call it done. The full automated test suite (113 tests) runs against Frappe/ERPNext v16, and recognition is proven on real photographs on commodity CPU hardware - no GPU required. Defects are corrected free of charge, and a post-commissioning support window is included.