XINHUOAI platform

XINHUOAI Custom Model Training Platform for Edge Video Analytics

Self-service custom AI model training platform for uploading field materials, running GPU training, evaluating models, and exporting deployable models to AI cameras, AI edge boxes, and AI NVRs.

XINHUOAI turns vertical AI requests into a repeatable model-production workflow. Instead of treating every new target as a one-off software project, the customer can upload field materials, create a training task, evaluate results, and export the model to local AI devices.

What It Solves

Many industrial scenes need targets that are not in generic AI libraries: special equipment states, warning signs, workwear colors, dedicated vehicles, object absence, wrong placement, or site-specific actions. The platform helps convert those needs into model assets.

Data Quality Rules

Useful training materials should cover real lighting, camera angle, distance, occlusion, normal samples, abnormal samples, and edge cases. Field data is better than generic photos because deployment quality depends on matching the actual scene.

Model Deployment

The platform is for model production. After the model is exported, real-time detection, alarm judgment, snapshots, and evidence records run locally on the AI camera, AI edge box, or AI NVR.

WorkflowTask creation, material upload, dataset cleaning, annotation, GPU training, evaluation, model export
RuntimeAfter export, models run on local AI devices without external internet for daily recognition
Billing modelTraining time can be measured by GPU usage, with optional annotation, tuning, and deployment services
Target devicesAI cameras, AI edge boxes, AI NVRs, and compatible edge analytics products

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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