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AI Video Analytics Server — 96, 128 or 256 Channels of Centralised AI Analysis

For programmes where the camera count runs into the hundreds, ADHOOPU AI compute servers centralise the analytics workload: 96, 128 or 256 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 / 256 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 · ON-PREMISE AI VIDEO ANALYTICS · AI CCTV ANALYTICS

Three Models, One Architecture

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.

ModelChassisMax ChannelsBest 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-6184U2564U rack-mount256 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.

Specifications

Verified platform parameters of the ADHOOPU AI compute server line.

Product TypeCentralised AI video analytics server
ModelsQG-6181U96 (1U) / QG-6182U128 (2U) / QG-6184U256 (4U)
Max Channels96 / 128 / 256 channels of 1080P
Compute Units2 to 22 edge compute server units + 1 industrial control mainboard
ProcessorDomestic chipset (default: Intel industrial control mainboard)
Operating SystemLinux
Video InputONVIF / RTSP / GB28181 / M51C / WEBRTC / RTMP
DecodeH.264 / H.265
Resolution SupportUnrestricted — 720x480 up to 3840x2160
Algorithmsbroad AI algorithm library, large-model re-check supported
Face DatabaseUp to 300,000
Network2 x 100M/1000M adaptive Ethernet
ProtocolsTCP / 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
ManagementCentral management platform: dashboard, alarm management, device management
Network ArchitectureInternal/external network isolation; compute units on LAN, separate port for external network
Warranty3 years

Colour-coded accuracy

Engineering-verified detection and recognition rates.

Recognition Accuracy

  • 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%

Platform Capabilities

  • 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
  • Custom algorithm set and model training
  • Custom platform branding and API integration
  • See the OEM / ODM programme

Edge, Centre, or Both

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

Centralised Only

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.

Edge Only

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.

Edge + Centre (Recommended at Scale)

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

AI Server FAQ

Is the AI video analytics server on-premise or cloud-based?
It is on-premise AI video analytics. The server is installed in your own rack and every video stream and metadata record stays inside your network — nothing is uploaded to a third-party cloud. Remote sites cascade into the central server over GB28181, and edge AI boxes at those sites are managed from the same on-premise platform.
How do I choose between 96, 128 and 256 channels?
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-6184U256 supports up to 256 channels for large-scale programmes.
What is large-model re-checking and why does it matter?
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.
Does the server support GB28181 platform cascade?
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.
Can the server manage edge AI boxes at remote sites?
Yes. The central management platform provides edge AI node management, 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.
How does the platform handle false alarms over time?
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.
Is the AI server available for OEM / private label?
Yes. It is available as video analytics server OEM hardware under your brand, with custom algorithm sets, custom platform branding and API integration. See the OEM / ODM programme.

Request AI Server Specifications

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.

Manufacturer Reference

ADHOOPU

Professional AV manufacturer — Integrated AV Platforms, Distributed AV over IP, and AI Edge Computing & Video Analytics. OEM/ODM for system integrators, distributors and AV brands worldwide.

19 years of AV engineering · Shenzhen, China · 3-year warranty

Products

Integrated AV Platform QG-1169 AV over IP Encoders ST52K Encoder SR52K Decoder AI Video Analytics 615 AI Analytics Box

Solutions

Warehouse Safety Industrial Safety Oil & Gas Safety Hospital Safety Campus Security Parking Analytics Traffic Analytics Smart City Analytics Logistics Safety Retail Analytics Airport Analytics Smart Courtroom Surgical Teaching Command Center Education Meeting Room Smart Security Construction Site Factory & Industrial

Company

OEM / ODM About ADHOOPU FAQ Resources Contact
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WhatsApp +86 138 2352 5531 · Email jimmy@adhoopu.com · Web https://www.adhoopu.com
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AI Video Analytics Server: 96/128/256-Channel Centralized AI Camera Management

The ADHOOPU AI video analytics server range provides multi-channel AI analytics and centralized AI camera management in rackmount form: 96-channel, 128-channel and 256-channel models for high-density video analytics across one site or many, with multi-site AI video management and platform cascade.

Each rackmount AI video server doubles as an AI event management server, AI event recording server and video analytics management platform, with local video storage server options, HDD/SSD storage expansion, RAID video storage, 30-day video retention, event history search and remote AI device management.

What is the difference between an AI box and an AI server?

An AI box sits at the edge and analyzes a small camera count on-site with no server room required. An AI server is a rackmount platform that centralizes 96 to 256+ camera channels, runs high-density analytics, stores events, and manages multiple sites and edge devices from one platform.