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JingzhunShiye

Beijing JingzhunShiye Technology Co., Ltd. develops and deploys computer vision systems, edge computing platforms, and AI-powered monitoring solutions for industrial and commercial clients.

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  • Construction Vision Inspection
  • Fire & Smoke Detection
  • Edge AI Platform
  • Enterprise AI Assistant

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  • Construction Safety
  • Manufacturing
  • Industrial Safety
  • Enterprise AI

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Technology

Deep expertise across the full AI stack — from edge computing to large language models.

Computer Vision

Advanced image recognition, object detection, behavior analysis, and scene understanding for industrial applications. Our vision AI models are optimized for edge deployment with high accuracy and low latency.

  • Object Detection & Classification
  • Behavior & Motion Analysis
  • Scene Understanding
  • Multi-camera Tracking
  • Visual Inspection & QC

Edge AI Computing

All AI processing runs locally on edge hardware — no cloud dependency. This ensures real-time response, data privacy, and reliable operation even without internet connectivity.

  • Real-time Local Inference
  • Multi-model Parallel Execution
  • Edge Device Management
  • Offline Operation
  • GPU/NPU Acceleration

Large Language Models

Private, on-premises LLM deployment for enterprise knowledge management, document analysis, and intelligent Q&A. Support for multiple open-source models with full data sovereignty.

  • On-premises Deployment
  • RAG Knowledge Base
  • Document Intelligence
  • Multi-model Support
  • Air-gap Compatible

AI System Integration

End-to-end integration of AI hardware, software, and existing enterprise systems. From proof-of-concept through production deployment, testing, and ongoing optimization.

  • Full-stack Integration
  • API & Protocol Support
  • VMS/NVR Integration
  • Alarm System Integration
  • Custom Dashboard Development

Typical AI Workflow

From data capture to actionable insights — how our AI solutions process information in real time.

Step 1

Camera / Sensor

IP cameras, thermal sensors, IoT devices capture real-time data

Step 2

Edge AI Computing

On-site AI processing — real-time analysis without cloud dependency

Step 3

Real-time AI Analysis

Computer vision models detect safety events, anomalies, and patterns

Step 4

Event Detection

Instant identification of safety violations, fire, intrusion, or operational anomalies

Step 5

Alarm & Notification

Automatic alerts via dashboard, email, SMS, or integration with alarm systems

Step 6

Management Dashboard

Centralized monitoring, analytics, compliance reporting, and trend analysis