Enterprise-Exclusive AI Productivity Solution
Manufacturing Solutions
Edge AI-powered intelligent monitoring gives safety production "eagle eyes."
Industry Pain Points
Three Key Challenges in Visual Recognition for Traditional Manufacturing
Traditional CV lightweight models, smart cameras, and network architectures exhibit significant limitations in complex manufacturing scenarios.
Limitations of Small-Scale CV Algorithms
- Each task requires a dedicated algorithm, leading to a proliferation of models and difficult quality control management.
- Difficult scenario migration; requires retraining for environmental changes; weak capability in recognizing complex actions.
- High maintenance costs for models; lack of self-learning and adaptive capabilities.
Smart Camera: Costs and Limitations
- High unit cost and construction costs for cameras, limited edge-side computing power
- Each camera supports a limited set of algorithms, resulting in low application flexibility.
- Algorithm upgrades require per-site operations, leading to high maintenance costs; disconnected from the management platform with poor compatibility.
Bottlenecks in Traditional Network Architecture
- Traditional wired networks require multiple exchanges and cabling, leading to complex installation and high maintenance costs.
- Short transmission distance and high signal attenuation make it difficult to support HD video and AI traffic.
- Susceptible to electromagnetic interference; high packet loss in industrial environments. Each additional monitoring point requires rewiring, resulting in poor scalability.
Chuling AI Visual Intelligence Solutions
Build a closed-loop system spanning perception, cognition, decision-making, and execution.
Data Center
Multi-Terminal Access
Full-Scenario Coverage
Large Model + Small Model Collaborative Workflow
Video stream ingestion
Connect multiple cameras via RTSP/ONVIF protocols and manage them centrally with a unified computing-network appliance.
Video Detection and Feature Extraction
Detect and identify anomalous event data, then input it into a multimodal large model for key information analysis.
Collaborative inference of large and small models
Large models guide semantic understanding for precise detection by small models; small models perform a second confirmation to output results.
Closed-loop disposal and coordination
Trigger warning lights and horns, integrate with facial recognition access control, and complete the closed-loop response.
Use Cases
AI-powered security monitoring with "sharp eyes"
Personnel Safety
- Hard Hat / Workwear Detection
- Region Intrusion Detection
- Person Fall Detection
- Automatic Crowd Gathering Alert
Production Safety
- Fire / Smoke Detection
- Device Leak Detection
- Safe Monitoring of Lifting Operations
- High-Voltage Area Protection
Code of Conduct
- Sleeping on Duty / Unattended Post Detection
- Call Behavior Analysis
- Forklift Operation Safety Recognition
- SOP Compliance Monitoring
Data Analysis
- Event Search & Network Playback
- Trend Analysis and Statistical Reports
- Multi-dimensional Alert Summary
- Predictive Analytics and Decision Support
Solution Advantages
Foundation with Large Models, Deployment with Small: The Golden Balance
Edge Deployment vs. On-Device Deployment — Fully Ahead
Deep Understanding + Precise Execution
Collaborative synergy between large models for semantic understanding and small models for real-time detection creates a complete "identify issues → resolve issues" loop, surpassing simple alerts to empower decision-making.
Flexible and scalable
Tightly coupled metrics with modular plugins for smooth evolution, enabling agile cloud-edge-end collaboration to rapidly respond to diverse business needs.
Efficient, low-cost, and easy to integrate
Support for multiple camera brands, flexible edge unit expansion, TCO reduced by 50%, and resource utilization increased by 40%.
Fully independent and controllable across the board
Full-stack independent R&D, from hardware infrastructure to upper-layer application modules, fully compatible with domestic computing and Xinchuang environments.
All-optical intelligent computing networking
10G/50G slice-based backbone fiber ring network + POF+POE optical cables, featuring low latency, high bandwidth, and industrial-grade reliability
Upgrade effortlessly for the future
SEN Enterprise Network Intelligence + SD-WAN Cross-Domain Intelligent Network, continuously enabling a smooth evolution toward enterprise intelligent computing networks.
Implementation Results
Quantifiable results you can see
Reduced accident rate
Risk prediction + real-time alerts: from reactive response to proactive defense
Lower compliance costs
Automatically detect violations to reduce manual inspections and compliance review efforts.
Exception Response Speed
AI-powered detection in milliseconds, alerts delivered in seconds—replacing traditional manual inspections.
Reduced manual workload
AI replaces repetitive monitoring tasks, freeing up human resources to focus on value-driven decision-making.
SEN Network Intelligent Operations and Maintenance
Intelligent Supervision Across the Entire Plant
Case Studies
Successfully implemented
Deshan Freight Ship 3D Inspection
Integrate comprehensive data on vessels, crew, and enterprises to build an intelligent regulatory hub. Leverage shore-based CCTV, drones, and other smart sensing devices to capture real-time vessel movements. The built-in "Smart Violation Detection" module automatically identifies infractions such as expired certificates and understaffing.
Intelligent End-to-End EHS + SOP Control for Energy Plants
As the group's first EHS intelligent pilot, this initiative integrates edge AI with lean manufacturing principles to establish a benchmark for "Smart Safety + Lean Production." It covers full-scenario applications including lifting operation safety detection, high-voltage test area protection, forklift operation safety monitoring, and open flame/smoke hazard identification.
Shenma Group Smart Inspection Project
Achieve high-speed network coverage across all areas using an integrated computing-network appliance with full-optical networking technology. The FTTR master gateway features a built-in high-performance GPU to support advanced AI video algorithms, significantly reducing data transmission latency and enhancing video-based fire detection capabilities. Enables wide-area fire monitoring, intrusion alerts, and unmanned inspections.
