Why AI Agents Silently Reject Biometric APIs
Why proprietary SDKs, static IPs and binary payloads make biometric systems unusable by AI agents, and what a JSON, REST and MCP-based API changes.
Why proprietary SDKs, static IPs and binary payloads make biometric systems unusable by AI agents, and what a JSON, REST and MCP-based API changes.
Explains protocol adapter architecture for biometric devices: how SDKs decode device protocols, four adapter layers, cloud needs and SDK migration.
How Cams Biometrics sets IN/OUT punch states: device-level selection, Actual, First In Rest Out and ZigZag modes, and limits such as 24-hour punch history.
Connect a biometric device to the network by LAN or Wi-Fi, whitelist the server IPs and domains, set the server address and port, and troubleshoot.
Decide between Native Push and Hybrid Push for the Cams Gateway: Device SDK, DB Pull or File Processing, direct or indirect topology, and API access.
What Cams biometric machines store (user ID, name, fingerprint template, face photo, RFID card) and how that data is protected, enrolled and managed.
What end-of-support means for biometric devices, the risks of running EOL hardware, your migration options, and a step-by-step plan to respond.
How Hybrid Push connects device-native push and polled devices to ERP and HR systems through one API: features, architecture, deployment and FAQs.
Step-by-step guide to add the Cams Biometrics custom connector in Claude AI, generate a Client Key and Password, and query device status in plain language.
The biometric hardware industry releases a new device every six months. Faster processors. Better liveness detection. Higher accuracy rates. Sub-second recognition. Every product launch promises to solve the fundamental problem of biometric identity verification in enterprise environments. But walk into any organisation that has been buying biometric hardware for the last ten years and you…