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Servidor de Análisis de Video IA — 96, 128 o 352 Canales de Análisis IA Centralizado

For programmes where the camera count runs into the hundreds, ADHOOPU AI compute servers centralise the analytics workload: 96, 128 or 352 channels of 1080P AI analysis in 1U, 2U or 4U, with optional large-model re-checking and centralised algorithm management.

AI VIDEO ANALYTICS SERVER96 / 128 / 352 CHANNEL CENTRALISED AI ANALYTICSMULTI-CHANNEL AILARGE-MODEL RE-CHECK

AI VIDEO ANALYTICS SERVER · AI VIDEO ANALYSIS SERVER · AI COMPUTING SERVER · MULTI-CHANNEL AI VIDEO ANALYTICS SERVER · 128 CHANNEL AI VIDEO ANALYTICS · CENTRALIZED AI VIDEO ANALYTICS · DISTRIBUTED AI VIDEO ANALYTICS

Tres Modelos, Una Arquitectura

All three servers share the same software stack and algorithm library. The difference is channel capacity and chassis size — choose by camera count and rack availability.

ModeloChassisMáx. CanalesBest For
QG-6181U961U rack-mount96 channels of 1080PSingle-site programmes, rack-constrained rooms
QG-6182U1282U rack-mount128 channels of 1080PMulti-building campuses, industrial parks
QG-6184U3524U rack-mount352 channels of 1080PLarge programmes, city and enterprise scale

Each chassis contains 2 to 22 edge compute units plus an industrial control mainboard. Channel capacity is a function of the number of compute units installed.

Especificaciones

Verified platform parameters of the ADHOOPU AI compute server line.

Tipo de ProductoCentralised AI video analytics server
ModelsQG-6181U96 (1U) / QG-6182U128 (2U) / QG-6184U352 (4U)
Máx. Canales96 / 128 / 352 channels of 1080P
Compute Units2 to 22 edge compute server units + 1 industrial control mainboard
ProcesadorDomestic chipset (default: Intel industrial control mainboard)
Operating SystemLinux
Entrada de VideoONVIF / RTSP / GB28181 / M51C / WEBRTC / RTMP
DecodeH.264 / H.265
Soporte de ResoluciónUnrestricted — 720x480 up to 3840x2160
Algorithms46+ small-model algorithms, large-model re-check supported
Face DatabaseUp to 300,000
Red2 x 100M/1000M adaptive Ethernet
ProtocolosTCP / UDP / HTTP / HTTPS / MULTICAST / DHCP / FTP / NTP / RTSP / GAT1400 / MQTT
Platform CascadeGB28181 platform cascade supported
StorageLocal storage with centralised synchronised storage; 20s pre/post-event video
GestiónCentral management platform: dashboard, alarm management, device management
Network ArchitectureInternal/external network isolation; compute units on LAN, separate port for external network
Garantía3 years

Precisión codificada por colores

Engineering-verified detection and recognition rates.

Precisión de Reconocimiento

  • Face capture ≥99% — misidentification <0.5%
  • Whitelist face recognition >99.5%
  • Face database up to 300,000
  • Human body capture ≥95%, false capture <1%
  • Non-motor vehicle capture ≥95%, false capture <1%
  • License plate capture ≥95%, recognition ≥95%
  • Motor vehicle capture ≥90%, false capture <1%
  • Other alarm categories ≥90%

Capacidades de la Plataforma

  • Data dashboard: algorithm count, device count, stream count, alarm trends
  • Alarm centre with classification, search and export
  • Algorithm configuration, orchestration and one-click deployment
  • Offline video upload for algorithm validation
  • False-alarm feedback into incremental model training
  • Visual algorithm test interface — upload any image, run any model
  • Image search and face database search

OEM / ODM

  • Video analytics server OEM under your brand
  • Conjunto de algoritmos personalizados y entrenamiento de modelos
  • Custom platform branding and API integration
  • Ver programa OEM / ODM

Borde, Centro o Ambos

The AI server line is designed to work with edge AI boxes, not instead of them. Most large programmes use both layers.

Solo Centralizado

All camera streams are sent to the server for analysis. Simplest architecture, best where cameras are concentrated in one or a few locations with adequate network capacity.

Solo Borde

An edge AI box at each site handles analysis locally and only events travel the network. Best for many distributed small sites with limited bandwidth.

Borde + Centro (Recomendado a Escala)

Edge boxes handle real-time detection at source; the central server aggregates, manages, performs large-model re-checking and provides the unified platform view.

Preguntas Frecuentes del Servidor IA

¿Cómo elijo entre 96, 128 y 352 canales?
Choose by the number of camera streams you need to analyse simultaneously, not the total camera estate. If only a subset of cameras require analytics, size to that subset. QG-6181U96 covers single-site programmes up to 96 channels, QG-6182U128 handles 128 channels for multi-building campuses, and QG-6184U352 supports up to 352 channels for large-scale programmes.
¿Qué es la reverificación con modelo grande y por qué importa?
Large-model re-checking means alarm events detected by the fast small-model set are re-evaluated by a larger model before being published. This suppresses the false alarms that make conventional detection unusable in outdoor and industrial scenes — the difference between an operator trusting the system and ignoring it.
¿Admite el servidor cascada de plataforma GB28181?
Yes. GB28181 platform cascade is supported, allowing the server to integrate with higher-level management platforms — important for government, public safety and multi-level enterprise deployments.
¿Puede el servidor gestionar cajas IA de borde en sitios remotos?
Yes. The central management platform provides Gestión de nodos IA de borde, including remote status monitoring, remote firmware and algorithm deployment, and unified alarm aggregation. This is the standard architecture for multi-site industrial and enterprise programmes.
¿Cómo maneja la plataforma las falsas alarmas con el tiempo?
False alarms can be pushed back into the system as training data for incremental model improvement, and confidence thresholds are tunable per algorithm and per channel. Over a project life cycle this means accuracy improves rather than degrading.
¿Está el servidor IA disponible para OEM / marca privada?
Sí. Está disponible como OEM de servidor de análisis de video hardware under your brand, with custom algorithm sets, custom platform branding and API integration. See the programa OEM / ODM.

Solicitar Especificaciones del Servidor IA

Tell us your total camera count, how many require analytics, and your site topology. We reply within 24 hours with a recommended model and architecture.

ADHOOPU

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