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.
Existing CCTV. Local AI. Open integration.
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.
Product stack
Start with one camera stream, then scale to multi-channel edge boxes, NVR-based management, or GPU servers for larger deployments.

Existing CCTV AI upgrade
2, 8, 16, and 32-channel edge AI video analytics box for upgrading existing RTSP and ONVIF CCTV systems with local detection, snapshots, event records, and platform integration.

Front-end AI camera
8MP edge AI camera with an 8-core CPU and 3TOPS INT8 NPU for local multi-algorithm video analysis, alarm evidence, and custom model deployment.

Smart recording and event search
AI-powered NVR for local recording, false-alarm filtering, perimeter protection, intelligent search, event evidence, and ONVIF/RTSP camera compatibility.
Use cases
Xinhuo systems are built for industrial camera scenes: busy entrances, high-risk production lines, construction zones, yards, warehouses, and perimeter areas.

AI video analytics for gas stations: smoking, phone use, smoke/fire, unloading-area vehicle exceptions, static discharge signage, fire extinguisher presence, and local edge deployment.

AI video analytics for factory safety production: helmet, reflective vest, smoking, phone use, off-post/sleeping-on-duty, intrusion, smoke/fire, and fire lane occupation detection.

AI video analytics for construction sites: helmet, reflective vest, smoke/fire, vehicle, area intrusion, personnel gathering, and channel occupation detection.

AI solution for parks, campuses, communities, and warehouses: perimeter intrusion, line crossing, loitering, vehicle parking, fire lane occupation, license plate recognition, and event search.
Analytics library
Combine standard event detection with scenario rules such as region intrusion, dwell time, direction, time schedule, and escalation workflows.
Connect RTSP and ONVIF streams from current IP cameras and NVRs, then run AI inference locally.
Put model inference near the scene when new camera points are being added or upgraded.
Combine recording, event search, snapshots, and AI alarms in one on-premise appliance.
Proof points
Each deployment can be shaped around existing devices, local compliance needs, and the events that matter most to the site team.
Industrial manufacturing site
A practical factory deployment pattern for adding helmet and reflective vest detection to existing camera streams.
Kept existing cameras and added local AI event generation.Gas station or hazardous-area operator
A deployment pattern for detecting smoking, phone use, smoke/fire, and vehicle events in high-risk zones.
Converted high-risk camera points into local AI alarm sources.Common questions
Practical answers for project owners, system integrators, and operations teams comparing local CCTV analytics options.
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.
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.
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.
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
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.