Image Analysis: Full Data AI Analysis vs. Change-Triggered Urgent Response

This diagram illustrates a system architecture comparing two core strategies for data processing.

🎯 Core 1: Two Data Processing Approaches

Approach A: Full Data Processing (Analysis)

• All Data path (blue)
• Collects and comprehensively analyzes all data
• Performs in-depth analysis through Deep Analysis
• AI-powered statistical change (Stat of changes) analysis
• Characteristics: Identifies overall patterns, trends, and correlations

Approach B: Separate Change Detection Processing

• Change Only path (yellow)
• Selectively detects only changes
• Extracts and processes only deltas (differences)
• Characteristics: Fast response time, efficient resource utilization

🔥 Core 2: Analysis→Urgent Response→Expert Processing Flow

Stage 1: Analysis

• Full Data Analysis: AI-based Deep Analysis
• Change Detection: Change Only monitoring

Stage 2: Urgent Response (Urgent Event)

• Immediate alert generation when changes detected (⚠️ Urgent Event)
• Automated primary response process execution
• Direct linkage to Work Process

Stage 3: Expert Processing (Expert Make Rules)

• Human expert intervention
• Integrated review of AI analysis results + urgent event information
• Creation and modification of situation-appropriate rules
• Work Process optimization

🔄 Integrated Process Flow

[Data Collection] 
    ↓
[Path Bifurcation]
    ├─→ [All Data] → [Deep Analysis] ─┐
    │                                  ├→ [AI Statistical Analysis]
    └─→ [Change Only] → [Urgent Event]─┘
                            ↓
                    [Work Process] ↔ [Expert Make Rules]
                            ↑_____________↓
                         (Feedback loop with AI)

💡 Core System Value

1. Dual Processing Strategy: Stability (full analysis) + Agility (change detection)
2. 3-Stage Response System: Automated analysis → Urgent process → Expert judgment
3. AI + Human Collaboration: Combines AI analytical power with human expert judgment
4. Continuous Improvement: Virtuous cycle where expert rules feed back into AI learning

This system is an architecture optimized for environments where real-time response is essential while expert judgment remains critical (manufacturing, infrastructure operations, security monitoring, etc.).

Summary

1. Dual-path system: Comprehensive full data analysis (stability) + selective change detection (speed) working in parallel
2. Three-tier response: AI automated analysis triggers urgent events, followed by work processes and expert rule refinement
3. Human-AI synergy: Continuous improvement loop where expert knowledge enhances AI capabilities while AI insights inform expert decisions

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