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.

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

Ready-made detection models, configurable rules, and fast customization.

Combine standard event detection with scenario rules such as region intrusion, dwell time, direction, time schedule, and escalation workflows.

01

Keep existing cameras

Connect RTSP and ONVIF streams from current IP cameras and NVRs, then run AI inference locally.

02

Deploy intelligence at the front end

Put model inference near the scene when new camera points are being added or upgraded.

03

Record, search, and alert

Combine recording, event search, snapshots, and AI alarms in one on-premise appliance.

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.

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.

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