Image Understanding Command Guide

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Why Use Image Understanding?

Transform any image into actionable business insights using advanced AI vision analysis. This powerful tool can:

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Document Processing

• Extract Text: Convert handwritten notes, whiteboards, and printed documents into editable text

• Parse Business Cards: Capture contact information and company details automatically

• Process Receipts: Extract itemized expenses, totals, dates, and vendor information

• Analyze Forms: Convert paper forms into structured data

• Validate IDs: Extract and verify information from identification documents

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Visual Quality Control

• Product Inspection: Identify defects, inconsistencies, or quality issues

• Brand Compliance: Verify proper logo usage, placement, and color schemes

• Packaging Analysis: Check label accuracy, warning placement, and regulatory compliance

• Display Audits: Monitor in-store product placement and merchandising

• Construction Progress: Track and verify construction site progress and safety compliance

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Data Visualization Analysis

• Chart Interpretation: Extract data points and trends from graphs and charts

• Dashboard Capture: Convert dashboard screenshots into structured data

• Presentation Analysis: Extract key metrics from presentation slides

• Report Digitization: Convert printed reports and their visualizations into digital data

• Competitive Analysis: Extract information from competitor’s public materials

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Visual Asset Management

• Image Categorization: Automatically tag and categorize product photos

• Content Moderation: Screen user-submitted images for appropriateness

• Asset Verification: Confirm image meets required specifications

• Duplicate Detection: Identify similar or duplicate images in large collections

• Image Metadata Analysis: Extract and verify technical image specifications

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Real Estate and Property

• Property Assessment: Analyze property condition from photos

• Space Planning: Understand room layouts and dimensions

• Maintenance Inspection: Identify maintenance issues from photos

• Safety Compliance: Verify safety equipment and signage

• Renovation Tracking: Monitor renovation progress and quality

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Marketing and Design

• Design Analysis: Evaluate design elements and layout effectiveness

• Ad Compliance: Verify advertising materials meet regulatory requirements

• Campaign Consistency: Ensure visual consistency across marketing materials

• Competitor Marketing: Analyze competitor’s visual marketing materials

• Social Media Monitoring: Track brand presence in social media images

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Security and Surveillance

• Access Control: Verify badge photos and credentials

• Incident Analysis: Analyze security camera footage or screenshots

• Safety Monitoring: Identify PPE compliance in workplace photos

• Crowd Analysis: Assess occupancy and flow patterns

• Perimeter Monitoring: Detect unauthorized access or suspicious activity

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Retail Intelligence

• Shelf Analysis: Monitor product placement and stock levels

• Store Compliance: Verify merchandising standards

• Customer Flow: Analyze store traffic patterns

• Competition Monitoring: Track competitor’s store layouts and displays

• Visual Merchandising: Assess display effectiveness

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Technical Documentation

• Diagram Analysis: Understand technical drawings and schematics

• Equipment Inspection: Identify parts and verify configurations

• Installation Verification: Confirm proper equipment installation

• Maintenance Documentation: Record and verify repair work

• Safety Compliance: Verify proper warning labels and safety information

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Research and Development

• Prototype Analysis: Evaluate product prototypes

• Test Results: Analyze visual test results and experiments

• Research Documentation: Extract data from research materials

• Patent Analysis: Analyze technical drawings in patents

• Competitive Research: Study competitor product images

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Basic Usage

The /image-understanding command analyzes images using AI vision capabilities. You can provide images in two ways:

1. URL Reference:

/image-understanding analyze this image: [image URL]

1. File Attachment:

/image-understanding analyze the attached image
[uploaded image]

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Command Patterns

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1. Open-ended Analysis

/image-understanding describe everything you see in this image:
[image]

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2. Targeted Questions

/image-understanding does this product packaging comply with our brand guidelines?
[image]

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3. Data Extraction

/image-understanding extract all data points from this chart and format as JSON:
[image]

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4. Comparative Analysis

/image-understanding compare these two product images and list the differences:
[image 1]
[image 2]

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Business Use Case Examples

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1. Document Analysis

/image-understanding extract all text and data from this business card and format as a contact record:
[image]

Example Output:

{
  "contact": {
    "name": "Sarah Chen",
    "title": "Senior Solutions Architect",
    "company": "TechCorp Solutions",
    "email": "schen@techcorp.com",
    "phone": "+1 (555) 123-4567",
    "address": {
      "street": "123 Innovation Drive",
      "city": "San Francisco",
      "state": "CA",
      "zip": "94105"
    },
    "social": {
      "linkedin": "linkedin.com/in/sarahchen"
    }
  },
  "metadata": {
    "scanDate": "2024-03-15",
    "confidence": 0.98
  }
}

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2. Chart Analysis

/image-understanding analyze this sales trend chart and provide the key insights:
[image]

Example Output:

{
  "chartType": "Line Graph",
  "timeRange": {
    "start": "Jan 2024",
    "end": "Mar 2024"
  },
  "metrics": [
    {
      "name": "Revenue",
      "trend": "upward",
      "growthRate": "15%",
      "keyPoints": [
        {
          "date": "Feb 15",
          "value": "$1.2M",
          "event": "Peak sales"
        }
      ]
    }
  ],
  "insights": [
    "Consistent upward trend since January",
    "Strongest growth in enterprise segment",
    "Seasonal peak in mid-February"
  ]
}

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3. Quality Control

/image-understanding check if this product image meets our listing requirements:
[image]

Example Output:

{
  "compliance": {
    "status": "failed",
    "score": 0.82,
    "timestamp": "2024-03-15T14:30:00Z"
  },
  "requirements": {
    "resolution": {
      "meets": true,
      "value": "2400x2400px"
    },
    "background": {
      "meets": false,
      "issue": "Background not pure white",
      "recommendation": "Use RGB(255,255,255) background"
    },
    "productVisibility": {
      "meets": true,
      "score": 0.95
    }
  },
  "actionItems": ["Correct background color", "Remove shadow effects"]
}

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4. Safety Compliance

/image-understanding verify required safety equipment in this workspace photo:
[image]

Example Output:

{
  "safetyAudit": {
    "timestamp": "2024-03-15T15:00:00Z",
    "location": "Manufacturing Floor A",
    "overallCompliance": "partial"
  },
  "equipment": {
    "hardHats": {
      "required": true,
      "detected": true,
      "compliance": "100%"
    },
    "safetyGoggles": {
      "required": true,
      "detected": "partial",
      "compliance": "80%",
      "notes": "2 workers with improper wear"
    }
  },
  "recommendations": [
    "Enforce safety goggle policy",
    "Update safety signage visibility"
  ]
}

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Advanced Analysis Techniques

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1. Multi-image Analysis

/image-understanding analyze these progress photos and create a timeline:
[image 1]
[image 2]
[image 3]

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2. Detail Extraction

/image-understanding focus on the bottom-right chart and extract exact values:
[image]

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3. Measurement Analysis

/image-understanding estimate dimensions of the objects in this space:
[image]

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Best Practices

1. Image Quality

   • Ensure good lighting

   • Maintain clear focus

   • Use appropriate resolution

   • Minimize glare and shadows

2. Framing and Context

   • Include relevant context

   • Frame important elements clearly

   • Maintain consistent angles for comparison

   • Include scale references when needed

3. Query Formulation

   • Be specific about requirements

   • Ask targeted questions

   • Specify desired output format

   • Include relevant context

4. Multiple Perspectives

   • Use multiple angles for complex objects

   • Provide context images when relevant

   • Include close-ups of important details

   • Show before/after when applicable

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Tips for Success

1. Optimal Results

   • Use high-resolution images

   • Ensure good lighting conditions

   • Maintain clear focus on subjects

   • Provide context in your queries

2. Complex Analysis

   • Break down complex requests

   • Use specific terminology

   • Provide reference examples

   • Specify output preferences

3. Data Extraction

   • Request specific formats

   • Indicate required fields

   • Specify units and formats

   • Ask for confidence scores

Remember: The clearer the image and more specific the request, the better the analysis will be!