![](data:image/png;base64,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)
- Ancho de banda:
AI deshabilitado: 384Mbps de entrada, 384Mbps de grabación y 384Mbps de salida.
AI habilitado: 200Mbps de entrada, 200Mbps de grabación y 200Mbps de salida.
- Capacidad de decodificación:
AI deshabilitado => 2CH-32MP@17IPS, 2CH-24MP@17IPS, 4CH-16MP@25IPS, 5CH-12MP@25IPS, 8CH-8MP@25IPS, 12CH-5MP@25IPS, 16CH-4MP@25IPS, 32CH-1080P@25IPS.
AI habilitado => 1CH-32MP@17IPS, 1CH-24MP@17IPS, 2CH-16MP@25IPS, 4CH-12MP@25IPS, 4CH-8MP@25IPS, 8CH-5MP@25IPS, 12CH-4MP@25IPS, 24CH-1080P@25IPS.
- Perfiles ONVIF T/S/G, CGI, SDK.
- 4 Canales Perimeter Protection. 10 reglas IVS para cada canal.
- 2 Canal Face detection. Máximo 12 imágenes faciales por segundo en cada canal.
- 2 Canal Face Recognition. 20 Bases de datos faciales hasta 200,00 imágenes faciales, con una capacidad total de 2,5 G. Máximo 12 imágenes faciales por segundo en cada canal.
- 8 Canales SMD Plus. Búsqueda AI con clasificación de objetivos (Personas, Vehículos).
- AcuPick AI, cámara + grabador: Máx. 16ch, 1 evento combinado por canal.
- Alimentación 100V-240Vac (Máx 13W (Sin HHD). Alimentación PoE (Max 25.5W@RJ45) hasta 150W.
- Dimensiones y peso: 440x415,1x70mm / 4.82Kg (Sin HDD).
- Soporta clúster N+M.
*WizSense Series: Perimeter Protection, Face detection, Face Recognition, SMD Plus.
NOTA IMPORTANTE: Las funciones IA NO pueden ser usadas simultáneamente (SMD, reconocimiento facial, protección perimetral...).