Existing CCTV. Local AI. Open integration.

On-premise AI video analytics for industrial safety and operations.

Deploy edge AI boxes, AI cameras, NVRs, and custom detection models to turn ordinary camera streams into real-time alerts for PPE, smoke, intrusion, unsafe behavior, and process risks. Selected ambiguous alarms can also receive optional multimodal AI verification using event evidence and scene context.

100+ algorithm optionsPPE, smoke, fire, intrusion, vehicles, equipment, and custom targets
Local processingLow latency, lower bandwidth, private video
Custom modelsTrain for site-specific objects and behaviors
PPE and helmet detectionDetect missing helmets, reflective vests, masks, gloves, and other site-specific PPE rules.
Smoke and flame detectionIssue early visual alerts for smoke, flame, and abnormal fire-risk scenes.
Intrusion and line crossingProtect restricted zones, perimeter lines, storage areas, and temporary work boundaries.
Custom AI modelsTrain detection models for your own objects, uniforms, tools, vehicles, and behaviors.

Product stack

AI hardware and model services for full-site deployment.

Start with one camera stream, then scale to multi-channel edge boxes, NVR-based management, or GPU servers for larger deployments.

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Use cases

Designed for the places where safety and uptime matter.

Xinhuo systems are built for industrial camera scenes: busy entrances, high-risk production lines, construction zones, yards, warehouses, and perimeter areas.

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Analytics library

Choose the event types that matter at each camera point.

Algorithms can be combined with camera regions, direction, dwell time, schedules, and escalation rules. The deployment starts with the situations site teams actually need to review.

Deployment route

Keep the workflow clear from camera to event handling.

Use local AI where the video is produced, then retain searchable event evidence for the people who need to act.

01

Connect the available video

Use existing RTSP or ONVIF streams where they are available, or select front-end AI cameras for new points.

02

Apply rules at the scene

Set the zone, time, direction, target, and escalation logic for each camera point.

03

Review, search, and follow up

Keep snapshots, recordings, and event records together for investigation and operational reporting.

Multimodal alarm verification

Review difficult video alarms with image, scene, time, and site rules together.

AI cameras, edge boxes, and AI NVRs continue to screen video locally. When an event is uncertain or needs more context, the system can send a selected event image, full-scene image, time, region, and configured rule for a second review. This helps project teams prioritize alerts and retain clearer evidence for follow-up.

Read the verification guide
01

Screen events locally

Use the deployed camera or edge device for continuous detection and initial event capture.

02

Add the scene context

Pass selected images with the site rule, zone, time, and event type that explain why the alarm was raised.

03

Return a review result

Use the result to rank alerts, request human review, label possible false alarms, or feed representative samples back into improvement work.

Proof points

From alarms to operational records.

Each deployment can be shaped around existing devices, local compliance needs, and the events that matter most to the site team.

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Common questions

AI video analytics questions buyers ask first.

Practical answers for project owners, system integrators, and operations teams comparing local CCTV analytics options.

What does XINHUO AI provide?

XINHUO AI provides on-premise AI video analytics hardware and software for existing CCTV systems, including AI edge boxes, AI cameras, AI NVRs, analytics servers, and custom model training.

Can the system work with existing cameras?

Yes. The AI edge box and server products can connect to existing RTSP and ONVIF camera streams, so many projects can add AI detection without replacing the current CCTV infrastructure.

Which AI events are supported?

Typical events include helmet and reflective vest detection, smoke and flame detection, intrusion and line crossing, smoking or phone-use detection, vehicle parking events, license plate events, and custom object detection.

Is video sent to the cloud?

The recommended industrial deployment runs AI inference locally. Customers can keep video inside their own network and send only event metadata, snapshots, or alarms to their management platform.

Industrial video analytics topics

Deployment guides for high-frequency industrial scenarios

Practical pages covering unloading areas, warehouse traffic, kitchen hygiene, fire routes, vehicle rules, ground conditions, remote cameras, and alarm review.

Project inquiry

Tell us your camera environment and required AI analytics.

For the first version this site uses a lightweight email-based inquiry flow. It avoids a database and keeps the English site simple until inquiry volume justifies a dedicated CRM integration.

The button opens your email client with the inquiry content filled in.