BiometricAPI.com is the one-stop content hub for everything Cams builds to put biometrics into software: cloud APIs, language SDKs, edge and kiosk apps, an AI device agent, and real-time recognition engines. Instead of scattering fingerprint, face, palm, vein, iris, attendance, and device-management capabilities across separate product pages, the hub presents one coherent catalog where a developer can go from "connect any device" to "match a face in 1:N" to "deploy on my own server" without leaving the site. Every product is documented to integration-ready depth, grouped by what the buyer is trying to do rather than by internal architecture.
Cloud and on-device REST APIs that connect biometric hardware to your software. Start with the flagship Biometric Gateway Web API to bring any internet-enabled device online in real time, then reach for browser, recognition, and device-management APIs as your integration grows.
The universal integration layer that delivers real-time attendance from ANY biometric device — verified or not — to any application or ERP in under 500 ms.
ExploreAPIConnect any internet-enabled biometric attendance or access-control device directly to your web application over HTTP — no local software, PC, or database required.
ExploreAPIRead and capture fingerprints from a USB scanner directly inside any website using a few lines of JavaScript — across all major browsers and Windows versions.
ExploreAPIA versioned REST API (V1/V2/V3) for managing the full device and user lifecycle — provisioning, commands, templates, photos, access times, and attendance logs.
ExploreAPIA device-agnostic HTTPS front door for ingesting attendance punches, heartbeats, and subscription checks from any client.
ExploreDedicated server-side matching engines that turn a face image or fingerprint into an identity. Standards-based, GPU-ready, and exposed over simple HTTP — drop them into attendance, access control, kiosk, or identity-verification workflows without building your own ML pipeline.
Server-side face enroll, 1:1 verify, and 1:N identify over REST — with built-in ArcFace embedding, SCRFD detection, alignment, and anti-spoofing.
ExploreENGINEISO/IEC 19794-2 fingerprint enroll, 1:1 verify, and staged 1:N identify over a simple REST API.
ExploreSoftware that runs at the edge — turning cameras into attendance terminals, bridging on-prem devices to the cloud, and moving data over the transport your fleet already speaks. Keep video and biometric data local while only attendance events travel.
Turns a CCTV, RTSP, or ONVIF video stream into face-recognition attendance — one punch per person per appearance, with video that never leaves your network.
ExploreENGINERun the Cams biometric protocol on your own Windows, Linux, or Unix server so devices talk to your application directly — including fully offline LAN deployments.
ExploreSERVICEAn on-premise Windows hybrid connector that pulls attendance from local devices or databases and syncs it to the Cams cloud — behind your firewall.
ExploreSERVICEAn MQTT transport engine that ingests attendance events and pushes device commands over an EMQX broker — built for large connected fleets.
ExploreDrop-in code that gets you from zero to working integration fast — reference backends in PHP and Python, browser-side capture, and a native C++ connector for talking to devices directly.
Ready-to-run PHP and Python reference backends that receive Cams device punches, evaluate attendance policies, and persist to your database of choice.
ExploreSDKA C++ SDK that connects to Cams 620-class attendance and biometric devices over TCP to manage users, templates, and attendance logs.
ExploreEverything you need to evaluate, configure, deploy, and operate your integration — a device-compatibility tester and sandbox, the web console for live device management, a protocol-update service for third-party hardware, and the Windows installer.
A self-service portal that checks whether a biometric device can be supported by the API and lets you sandbox-test your Callback URL before going live.
ExplorePLATFORMThe web console where you configure each connected device, watch real-time attendance, and manage users, renewals, and integrations.
ExploreSERVICEEnable the Cams Web API on a non-Cams biometric device (ZKTeco, eSSL, BioMax, Identix and more) after it passes the developer compatibility check.
ExploreTOOLA command-line installer that provisions Cams Windows services, retrieves machine UUIDs for licensing, and validates host setup.
ExploreManage your biometric device fleet in plain English. The Cams AI agent connects to your account and lets you query attendance, enroll and copy users, check device health, and open doors through a natural-language interface backed by the same APIs.
Ready-to-deploy apps that turn a phone or tablet into a biometric terminal — face-recognition kiosks, contactless fingerphoto capture, and geofenced field attendance — all reporting to the Cams platform in real time.
A tablet-PC face-attendance kiosk with on-device recognition, liveness detection, an offline queue, and real-time MQTT push.
ExploreAPPContactless fingerphoto attendance — a phone camera captures a fingertip, the server extracts an ISO 19794-2 template, and Cams matches it 1:N.
ExploreAPPPhone-based IN/OUT attendance for field and remote teams, with fast two-QR device provisioning.
ExploreIntegrations
Attendance flows straight into 200+ ERP and HRMS platforms via Hybrid Push and REST.
From a single device API to server-side face matching and an AI device agent — start free and scale.