How do I choose between 96, 128 and 352 channels?

Choose by the number of camera streams requiring simultaneous analysis, not the total camera estate. QG-6181U96 covers up to 96 channels, QG-6182U128 handles 128 channels, and QG-6184U352 supports up to 352 channels.

What is large-model re-checking and why does it matter?

Large-model re-checking re-evaluates alarm events detected by the fast small-model set with a larger model before publication, suppressing false alarms in outdoor and industrial scenes.

Does the server support GB28181 platform cascade?

Yes. GB28181 platform cascade is supported for integration with higher-level management platforms.

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.

Главная / ИИ на границе / AI Video Analytics Server

ИИ-Сервер Видеоаналитики — 96, 128 или 352 канала централизованной ИИ аналитики

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

Три Модели, Одна Архитектура

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.

Модель	Chassis	Макс. Каналов	Best For
QG-6181U96	1U rack-mount	96 channels of 1080P	Single-site programmes, rack-constrained rooms
QG-6182U128	2U rack-mount	128 channels of 1080P	Multi-building campuses, industrial parks
QG-6184U352	4U rack-mount	352 channels of 1080P	Large 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.

Спецификации

Verified platform parameters of the ADHOOPU AI compute server line.

Тип Продукта	Centralised AI video analytics server
Models	QG-6181U96 (1U) / QG-6182U128 (2U) / QG-6184U352 (4U)
Макс. Каналов	96 / 128 / 352 channels of 1080P
Compute Units	2 to 22 edge compute server units + 1 industrial control mainboard
Процессор	Domestic chipset (default: Intel industrial control mainboard)
Operating System	Linux
Видео Вход	ONVIF / RTSP / GB28181 / M51C / WEBRTC / RTMP
Decode	H.264 / H.265
Поддержка Разрешения	Unrestricted — 720x480 up to 3840x2160
Algorithms	46+ small-model algorithms, large-model re-check supported
Face Database	Up to 300,000
Сеть	2 x 100M/1000M adaptive Ethernet
Протоколы	TCP / UDP / HTTP / HTTPS / MULTICAST / DHCP / FTP / NTP / RTSP / GAT1400 / MQTT
Platform Cascade	GB28181 platform cascade supported
Storage	Local storage with centralised synchronised storage; 20s pre/post-event video
Управление	Central management platform: dashboard, alarm management, device management
Network Architecture	Internal/external network isolation; compute units on LAN, separate port for external network
Гарантия	3 years

Точность с цветовой кодировкой

Engineering-verified detection and recognition rates.

Точность Распознавания

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%

Возможности Платформы

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
Набор пользовательских алгоритмов и обучение моделей
Custom platform branding and API integration
Смотрите программа OEM / ODM

Периферия, Центр или Оба

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

Только Централизованно

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.

Только Периферия

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.

Периферия + Центр (рекомендуется при масштабе)

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

Часто задаваемые вопросы по ИИ-серверу

Как выбрать между 96, 128 и 352 каналами?

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.

Что такое перепроверка большой моделью и почему это важно?

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.

Поддерживает ли сервер каскад платформы 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.

Может ли сервер управлять edge ИИ-боксами на удаленных объектах?

Yes. The central management platform provides Управление Edge AI узлами, 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.

Как платформа справляется с ложными тревогами со временем?

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.

Доступен ли ИИ-сервер для OEM / собственной торговой марки?

Да. Он доступен как OEM сервера видеоаналитики hardware under your brand, with custom algorithm sets, custom platform branding and API integration. See the программа OEM / ODM.

ADHOOPU

Профессиональный AV-производитель — Интегрированные AV Платформы, Распределенный AV через IP и AI Edge Computing & Видео Аналитика. OEM/ODM для системных интеграторов, дистрибьюторов и AV-брендов по всему миру.

19 лет AV инженерии · Шэньчжэнь, Китай · 3-летняя гарантия

HMW Technology Holdings (Shenzhen) Co., Ltd. · Комната 1206, Блок A, Дачанвань, Цзиньган Коммерческое Здание, Улица Сянсян, Район Баоань, Шэньчжэнь, Китай
WhatsApp +86 138 2352 5531 · Email jimmy@adhoopu.com · Web https://www.adhoopu.com
© 2026 ADHOOPU. Интегрированная AV Платформа · Кодер/Декодер AV через IP · AI Видео Аналитика · Профессиональный AV OEM Производитель.