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Cómo Actualizar CCTV Existente con IA — Sin Reemplazar sus Cámaras

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

El Problema con el CCTV Existente

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.

Nadie Vigila 40 Pantallas

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.

La Detección de Movimiento No Es Analítica

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.

Reemplazar Todo No Es Asequible

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.

El Enfoque de Actualización: Añadir una Capa de Inteligencia

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.

Elija la Capa Correcta para su Sitio

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

Despliegue en Borde — 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
  • Más de 50 algoritmos, más de 10 simultáneos por canal
  • 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 →

Despliegue Central — Servidor de Cómputo IA

Stream existing cameras to a central Servidor de análisis de video IA 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 →

Qué Puede Detectar Después de la Actualización

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

Cumplimiento de Seguridad

Detección de casco, reflective vest detection, workwear detection, safety belt detection, mask detection.

Perímetro e Intrusión

Detección de intrusión, line crossing detection, wall climbing detection, loitering detection, overstay detection.

Comportamiento y Riesgo

Detección de caídas, smoking detection, sleeping on duty, crowd gathering detection, fight detection.

Incendio y Medio Ambiente

IA de detección de incendios, smoke detection AI, camera obstruction, leak and spill detection, debris detection.

Búsqueda Estructurada

Captura facial, person detection, vehicle detection, license plate recognition with attribute search.

Gestión de Vehículos

Detección de estacionamiento de vehículos, wrong-way driving, overspeed, hazardous vehicle detection, vehicle counting.

Ocupación y Flujo

Conteo de personas, occupancy detection, overcrowding detection, under-occupancy monitoring.

Seguridad Industrial

Detección de montacargas, fuel-unloading compliance, safety-sign recognition, hazard-zone monitoring.

Preguntas Frecuentes

¿Funcionará con mis cámaras existentes independientemente de la marca?
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.
¿Necesito cambiar mi NVR o configuración de grabación?
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.
¿Cómo decido entre la caja de borde y el servidor central?
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 Servidor de cómputo IA (96, 128 or 352 channels). Many programmes use both.
¿Cuántos algoritmos pueden ejecutarse en cada cámara existente?
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.
¿Qué sucede después de que se activa una alarma?
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.
¿Se puede escalonar la actualización para ajustarse al presupuesto?
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.
¿Qué precisión tiene la IA en imágenes de cámaras existentes?
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.
¿Puedo ejecutar el software en nuestro propio servidor?
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 programa OEM / ODM.
¿Podemos obtener una unidad de evaluación para la actualización?
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.

Planifique su Actualización de CCTV Existente con IA

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

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