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Как модернизировать существующий CCTV с ИИ — без замены камер

Your cameras already work. What is missing is someone watching 40 screens at 3am. This guide explains how to add AI analytics to an existing surveillance system — over ONVIF, RTSP and GB28181 — and turn recordings into real-time events.

EXISTING CCTV AI UPGRADEAI ANALYTICS FOR EXISTING CAMERAS TURN CCTV INTO SMART CCTVAI BOX FOR EXISTING CAMERAS NO CAMERA REPLACEMENT

UPGRADE EXISTING CCTV WITH AI · ADD AI ANALYTICS TO CCTV · AI ANALYTICS WITHOUT REPLACING CAMERAS · AI UPGRADE FOR NVR SYSTEM · REUSE EXISTING SURVEILLANCE CAMERAS · AI ANALYTICS FOR EXISTING VMS · AI UPGRADE FOR LEGACY CCTV

Проблема существующего CCTV

Most surveillance estates were built to record, not to react. The cameras produce hundreds of hours of footage a day, and the analytics — if there are any — are simple motion detection that triggers on rain, headlights and wildlife. The result is a system that is technically running but practically unused until after something has already gone wrong.

Никто не смотрит 40 экранов

Operator attention collapses after a short period of monitoring. Events happen in the gaps. The video exists, but no human sees it in time to act.

Детекция движения — это не аналитика

Basic motion triggers on anything that moves — which in an outdoor or industrial environment means constant false alarms, and eventually nobody pays attention to any of them.

Заменить всё — не по бюджету

A full camera-estate replacement is a capital project that rarely survives a budget review. The cameras are usually fine. The intelligence layer is what is missing.

Подход к модернизации: добавить слой интеллекта

Instead of touching the cameras, add a separate analytics layer on the same network. The cameras continue recording to the existing NVR. The new layer reads their streams and produces events, alarms and structured metadata. Nothing about the existing recording workflow changes.

StepWhat HappensWhat You Need
1. InventoryList existing cameras, models, resolutions, codecs and network accessCamera list, network diagram
2. Confirm Stream AccessVerify each camera exposes an ONVIF, RTSP or GB28181 streamCredentials, stream URLs
3. Choose the LayerEdge AI box for distributed sites; AI server for centralised programmesCamera count and site layout
4. Select AlgorithmsMap each camera to the behaviours it needs to detectRisk assessment per zone
5. Deploy and TuneConfigure channels, algorithm rules, confidence thresholdsCommissioning access
6. Integrate AlarmsRoute alarms into your VMS, platform or control roomHTTP / MQTT / API endpoint

Because the analytics layer is independent, the upgrade can be phased: start with the zones that matter most, prove the value, then extend across the estate.

Выберите правильный уровень для вашего объекта

Two deployment models cover the majority of existing-CCTV upgrade projects. They can also be combined.

Edge развертывание — QG-615AI16

Place an AI box for existing cameras at the site. It reads up to 16 existing camera streams and analyses them locally.

  • 16 channels of 1080P per box
  • 50+ алгоритмов, 10+ одновременно на канал
  • Alarms generated on site, minimal bandwidth to centre
  • Best for distributed sites, branches, small plants
  • Multiple boxes can be added as the site grows

See the 615 AI Box →

Центральное развертывание — ИИ-сервер вычислений

Stream existing cameras to a central ИИ-сервер видеоаналитики for analysis at scale.

  • 96 / 128 / 352 channels of 1080P in 1U / 2U / 4U
  • 46+ small-model algorithms, optional large-model re-check
  • Centralised management of all channels and algorithms
  • Best for large campuses, multi-site programmes, city projects

See the AI Server Line →

Что можно обнаружить после модернизации

The algorithms available on the existing cameras are the same set used in new-build deployments — no reduced-function upgrade path.

Соблюдение Техники Безопасности

Обнаружение каски, reflective vest detection, workwear detection, safety belt detection, mask detection.

Периметр и Вторжение

Обнаружение вторжения, line crossing detection, wall climbing detection, loitering detection, overstay detection.

Поведение и Риск

Обнаружение падения, smoking detection, sleeping on duty, crowd gathering detection, fight detection.

Пожар и Окружающая Среда

ИИ обнаружения пожара, smoke detection AI, camera obstruction, leak and spill detection, debris detection.

Структурированный Поиск

Захват лица, person detection, vehicle detection, license plate recognition with attribute search.

Управление Транспортом

Обнаружение парковки транспорта, wrong-way driving, overspeed, hazardous vehicle detection, vehicle counting.

Заполненность и Поток

Подсчет людей, occupancy detection, overcrowding detection, under-occupancy monitoring.

Промышленная Безопасность

Обнаружение погрузчика, fuel-unloading compliance, safety-sign recognition, hazard-zone monitoring.

Часто задаваемые вопросы

Будет ли это работать с моими существующими камерами независимо от бренда?
As long as your cameras expose a standard stream, yes. ADHOOPU reads video over ONVIF, RTSP, GB28181, RTMP, M51C or WEBRTC with H.264/H.265 decoding. This covers the overwhelming majority of IP cameras on the market, including Hikvision, Dahua and other mainstream brands. We confirm stream compatibility during the inventory step.
Нужно ли менять NVR или настройки записи?
No. The analytics layer is independent of the recording layer. Your existing NVR keeps recording exactly as it does now; the AI layer reads the same camera streams and produces alarms. The AI layer can also output a re-encoded AI video stream if you want annotated video on a separate platform.
Как выбрать между edge-боксом и центральным сервером?
The deciding question is where the cameras are. If the cameras are spread across many small sites with limited network capacity, use edge AI boxes locally (up to 16 channels each) so only events travel the network. If the cameras are concentrated in one or a few locations and you want centralised management, use an ИИ-сервер вычислений (96, 128 or 352 channels). Many programmes use both.
Сколько алгоритмов может работать на каждой существующей камере?
More than 10 algorithms can run concurrently on a single video channel. Different cameras can run completely different algorithm sets — a perimeter camera and a PPE-compliance camera use the same platform with different configuration, which is what makes an existing-estate upgrade practical.
Что происходит после срабатывания тревоги?
The platform captures the event with the 20 seconds of video before and after the alarm, plus the alarm image and metadata. Alarms can be pushed to your platform over HTTP, MQTT, WebSocket or REST API, or displayed in the ADHOOPU alarm console with a live video pop-up.
Можно ли разбить модернизацию на этапы под бюджет?
Yes — and this is usually how projects are approved. Start with the highest-risk zones on a single edge box, demonstrate a measurable reduction in false alarms and a measurable increase in genuine detections, then extend the layer to the rest of the estate. Because the cameras are untouched, each phase is additive.
Насколько точен ИИ на записях существующих камер?
Accuracy is a function of the algorithm set rather than the camera age. Verified figures: face capture ≥99%, whitelist recognition >99.5%, human body ≥95%, license plate ≥95%, motor vehicle ≥90%, other alarms ≥90%, with false capture rate <1%. Large-model re-checking is available to further suppress false positives in difficult outdoor scenes.
Могу ли я запустить программное обеспечение на своем сервере?
ADHOOPU AI analytics is delivered as a validated hardware-plus-software appliance — we do not support installing the analytics stack on arbitrary third-party hardware, because reliability and algorithm performance depend on the validated platform. For partners with specific requirements, OEM/ODM options include custom hardware configurations, custom algorithm sets and custom platform integration. See the программа OEM / ODM.
Можем ли мы получить оценочный образец для модернизации?
ADHOOPU supplies sample units at factory cost. We do not provide free evaluation units — the platform is built in-house, and we work with partners who intend to deploy it. An evaluation unit is a fully functional unit for your own testing against your own camera streams.

Спланируйте модернизацию существующего CCTV с ИИ

Send us your camera count, camera brands, site layout and the behaviours you need to detect. We reply within 24 hours with a recommended edge / central split and channel count.

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.

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Решения

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Компания

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