AI Workflows

CoreViz includes specialized AI workflows designed for specific domains and use cases. These workflows combine multiple AI models and processing steps to deliver targeted results for your visual content.

What are AI Workflows?

AI workflows are pre-configured processing pipelines that apply domain-specific AI models and analysis techniques to your visual content. Each workflow is optimized for particular use cases and provides specialized outputs beyond basic object detection.

Workflow Components

Input Processing:

• Image/video preprocessing
• Format standardization
• Quality enhancement

AI Analysis:

• Domain-specific model inference
• Feature extraction
• Pattern recognition

Output Generation:

• Structured results
• Confidence scores
• Actionable insights

Available Workflows

Medical Imaging

Specialized workflows for healthcare and medical applications.

X-ray Analysis

Purpose: Analyze X-ray images for medical diagnosis support

Features:

• Bone structure detection
• Anomaly identification
• Fracture detection
• Organ boundary mapping
• Density analysis

Use Cases:

• Radiology departments
• Telemedicine platforms
• Medical research
• Quality assurance

Medical Image Segmentation

Purpose: Segment anatomical structures in medical images

Features:

• Organ segmentation
• Tissue classification
• Boundary detection
• Volume calculation
• 3D reconstruction support

Forensics, Security & Surveillance

Workflows designed for security, law enforcement, forenics, and surveillance applications.

Shoeprint Matching with CoreSole™

Purpose: Re-identify shoeprints across crime scenes, identify the brand/model of a shoe based on its footwear imprint

Features:

• Shoeprint detection
• Shoeprint similarity matching with CoreSole™
• Footwear identification (mode + brand + product link)
• Shoe detection (with identification of the shoe sole among other photos)
• Clustering and linking shoeprints geographically through GIS maps.

Person Detection & Tracking

Purpose: Identify and track people in surveillance footage

Features:

• Person detection and counting
• Face recognition (with consent)
• Behavior analysis
• Crowd density estimation
• Activity classification

Use Cases:

• Security monitoring
• Crowd management
• Access control
• Incident investigation

Anomaly Detection

Purpose: Identify unusual or suspicious activities

Features:

• Unusual behavior detection
• Object left behind detection
• Unauthorized access detection
• Time-based anomaly analysis
• Pattern deviation identification

License Plate Recognition

Purpose: Extract and analyze license plate information

Features:

• License plate detection
• Character recognition
• Plate number extraction
• Vehicle type classification
• Confidence scoring

E-commerce & Retail

Workflows optimized for product catalog management and retail applications.

Product Recognition

Purpose: Identify and classify products in images

Features:

• Product category classification
• Brand recognition
• Price tag detection
• Product attribute extraction
• Duplicate detection

Use Cases:

• Inventory management
• Product cataloging
• Price monitoring
• Quality control
• Recommendation systems

Visual Similarity Matching

Purpose: Find visually similar products for recommendations

Features:

• Color similarity analysis
• Shape and pattern matching
• Style classification
• Complementary product suggestions
• Duplicate product detection

Brand Safety

Purpose: Ensure content aligns with brand guidelines

Features:

• Brand logo detection
• Competitor identification
• Inappropriate context detection
• Brand guideline compliance
• Risk assessment

Research & Scientific

Workflows for scientific research and data analysis.

Scientific Image Analysis

Purpose: Analyze scientific images for research purposes

Features:

• Cell counting and analysis
• Pattern recognition
• Measurement extraction
• Statistical analysis
• Data visualization

Use Cases:

• Biological research
• Material science
• Environmental monitoring
• Quality control in manufacturing

Document Analysis

Purpose: Extract information from document images

Features:

• Text extraction (OCR)
• Table recognition
• Chart and graph analysis
• Form field detection
• Document classification

Workflow Configuration

Basic Setup

1. Select Workflow: Choose the appropriate workflow for your use case
2. Configure Parameters: Set workflow-specific options
3. Define Input: Specify which content to process
4. Set Output: Configure result storage and notifications
5. Run Workflow: Execute processing

Workflow Parameters

Each workflow has specific configuration options:

Medical Imaging:

• Analysis sensitivity
• Region of interest
• Quality thresholds

Security:

• Detection confidence thresholds
• Tracking parameters
• Alert conditions
• Privacy settings

E-commerce:

• Product categories
• Brand databases
• Similarity thresholds

Batch Processing

Process multiple files with the same workflow. Coming soon.

Result Storage

Database Storage:

• Structured data storage
• Queryable results
• Historical tracking
• Performance metrics

File Export:

• CSV/JSON exports
• Image annotations
• Report generation

Custom Workflows

Workflow Builder

Create custom workflows using the visual workflow builder:

1. Define Input: Specify input requirements
2. Add Steps: Chain processing steps
3. Configure Models: Select AI models
4. Test & Deploy: Validate and activate

API Integration

Coming soon.

Troubleshooting

Common Issues

Processing Failures:

• Check input file formats
• Verify workflow parameters
• Review error logs
• Test with smaller batches

Poor Results:

• Adjust confidence thresholds
• Try different workflows
• Improve input quality
• Review parameter settings

Performance Issues:

• Optimize batch sizes
• Check resource limits
• Monitor system status
• Contact support if needed

Next Steps

Now that you understand AI workflows:

• Upload Content: Learn upload and organization best practices
• Search Results: Master search and discovery features