Developer Builds Cloud-Free Face Recognition Door System Using Local Hardware

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A France-based home AI developer has built a face recognition system for their front door that runs entirely on locally owned hardware, with no data sent to external servers or cloud platforms. The system detects faces, converts them into mathematical fingerprints, and compares them against a small enrolled local database, completing inference in one to two seconds on low-power hardware. Rather than alerting the user every time a known face appears, the system is designed to stay silent for recognised individuals and only notify when an unrecognised person is detected. The developer found that roughly 40 percent of real-world door events produced no usable facial data due to poor angles, lighting, or motion, highlighting the limits of relying on face recognition alone. To address this, the system cross-checks multiple inputs — including phone presence and door sensor data — to reach more reliable conclusions than any single sensor could provide.

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