Inspectra Specification

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Inspectra

Precision inspection, powered by AI

Inspectra is an open-source, AI-assisted inspection specification designed to provide advanced visual analysis, data intelligence, risk prediction, field-ready inspection tools, hardware integration, and automated reporting for homes and structures.

Inspectra uses a modular architecture in which core inspection capabilities operate as independent modules. Optional plugin modules extend the platform with specialized AI models, hardware integrations, workflows, reporting systems, regional intelligence, and future inspection applications without requiring changes to the core system.

Core Modules

AI Vision Module

The AI Vision Module provides the primary computer vision capabilities used to analyze inspection imagery.

Features include:

Multi-image defect detection
Object detection
Image segmentation
Visual anomaly detection
Crack detection
Moisture-related visual detection
Mold indicator detection
Corrosion detection
Surface damage detection
Installation anomaly detection
Structural anomaly detection
Defect localization
Visual evidence highlighting
Confidence scoring
Explainable AI findings
Cross-image consistency analysis
Image quality assessment

The module is designed to analyze individual images as well as collections of images representing a room, component, system, or property.

Multi-Image Intelligence Module

The Multi-Image Intelligence Module provides contextual understanding across multiple photographs.

Features include:

Multi-angle image analysis
Room-level visual understanding
Component-level image grouping
Spatial relationship analysis
Image-to-image comparison
Duplicate and near-duplicate detection
Cross-image defect verification
Multi-image evidence correlation
Visual reconstruction
Inspection area mapping
Defect location relationships

This module allows Inspectra to evaluate a collection of images rather than treating every photograph as an isolated observation.

Data Intelligence Module

The Data Intelligence Module converts inspection observations into structured inspection intelligence.

Features include:

Defect clustering
Defect correlation
Component relationship modeling
Historical inspection analysis
Environmental context analysis
Building-type context
Material context
Regional context
Inspection trend analysis
Pattern recognition
Cross-property analysis
Structured inspection metadata
Sensor data correlation
Historical condition tracking

The module is designed to identify relationships between observations that may not be apparent from individual findings.

Risk Prediction Engine

The Risk Prediction Engine extends Inspectra from current-condition detection into forward-looking risk analysis.

Features include:

Risk classification
Risk trajectory analysis
Defect progression modeling
Failure probability estimation
Time-to-risk estimation
Maintenance urgency scoring
Structural degradation analysis
Environmental risk adjustment
Regional risk modeling
Material-specific risk modeling
Historical progression comparison
Follow-up inspection recommendations
Preventive maintenance recommendations
Optional cost impact estimation

Risk predictions are intended to support inspection decisions and prioritization. They are not intended to replace qualified professional judgment, engineering evaluation, or required inspections.

Sensor Fusion Module

The Sensor Fusion Module combines information from multiple inspection technologies.

Supported data sources include:

RGB imagery
Thermal imagery
LiDAR data
Depth data
Moisture readings
Humidity readings
Temperature readings
Acoustic readings
Air-quality readings
CO₂ readings
Pressure readings
Other compatible environmental and structural sensors

Features include:

Cross-sensor correlation
Multi-modal anomaly detection
Sensor confidence analysis
Sensor-to-image relationships
Environmental context integration
Combined evidence generation
Multi-modal risk analysis

Inspection Workflow Module

The Inspection Workflow Module provides structured field workflows.

Features include:

Guided inspection workflows
Property-type workflows
Room-by-room workflows
Component-specific workflows
Inspection checklists
Required evidence prompts
Missing-data detection
Inspection progress tracking
Inspection session management
Custom workflow configuration
Reinspection workflows
Follow-up inspection workflows
Rapid assessment workflows

Field Inspector Module

The Field Inspector Module provides tools designed for real-world inspection environments.

Features include:

Mobile inspection support
Offline-first operation
Local data processing
Voice-to-report capture
AI-assisted field notes
Automatic image organization
On-site defect review
Evidence capture
Inspection annotations
Inspector verification
Guided image capture
Real-time inspection assistance
Inspection session synchronization

Hardware Integration Module

The Hardware Integration Module provides standardized interfaces for inspection hardware.

Supported hardware categories include:

High-resolution inspection cameras
Macro cameras
Thermal cameras
LiDAR scanners
Depth cameras
Moisture meters
Humidity sensors
Temperature sensors
Acoustic sensors
Air-quality sensors
CO₂ sensors
Pressure sensors
Drones
External inspection devices
Edge computing hardware

Hardware modules are designed to provide standardized data to the Inspectra intelligence system.

Reporting Module

The Reporting Module converts inspection findings into structured reports.

Features include:

Automated report generation
AI-assisted report narratives
Finding summaries
Defect descriptions
Severity classification
Confidence information
Evidence-linked findings
Image references
Sensor references
Inspector observations
Inspector verification
Inspection history
Audit trails
Custom report templates
Multi-audience reporting

Supported report applications may include:

Home inspection reports
Property condition reports
Insurance documentation
Contractor documentation
Maintenance reports
Compliance documentation
Property management reports

Evidence and Audit Module

The Evidence and Audit Module maintains traceability between inspection conclusions and supporting evidence.

Features include:

Image-to-finding relationships
Sensor-to-finding relationships
AI analysis records
Human verification records
Finding history
Report revision history
Inspection timestamps
Evidence metadata
Model identification
Confidence records
Audit logging

The objective is to make inspection findings traceable and reviewable.

Property Intelligence Module

The Property Intelligence Module maintains longitudinal information about inspected properties.

Features include:

Property profiles
Building component profiles
Inspection histories
Defect histories
Condition timelines
Component-level tracking
Previous finding comparison
Recurring issue detection
Maintenance history
Risk history
Property condition trends

The module provides the foundation for future digital property models and digital twin capabilities.

Privacy and Security Module

The Privacy and Security Module provides controls for inspection data.

Features include:

Local processing
Offline operation
User-controlled storage
Optional cloud synchronization
Configurable data retention
Access controls
Permission-based sharing
Encrypted inspection records
Audit logging
Privacy-preserving network participation
Configurable network data contribution

Inspectra is designed so that network participation can remain optional.

Inspectra Network Module

The Inspectra Network provides the optional network intelligence layer connecting participating Inspectra deployments.

Features include:

Opt-in inspection data contribution
Privacy-preserving data sharing
Federated inspection intelligence
Community defect datasets
Regional defect intelligence
Model contribution
Model validation
Inspection outcome sharing
Cross-inspection learning
Community knowledge development
Distributed inspection intelligence

The Inspectra Network is designed to allow participating users and organizations to contribute knowledge without requiring unrestricted access to their underlying inspection records.

Inspectra Commons Module

Inspectra Commons provides a community-oriented data and model ecosystem.

Features include:

Labeled defect datasets
Inspection imagery datasets
Sensor datasets
Regional datasets
Building-material datasets
Model training resources
Model evaluation resources
Validation datasets
Community contributions
Dataset provenance
Model provenance
Dataset versioning
Community quality review

Optional Plugin Modules

Optional plugins extend Inspectra without requiring additional capabilities to become part of the core platform.

Specialized AI Plugins

Potential plugins include:

Roofing analysis
Foundation analysis
Structural analysis
Electrical analysis
Plumbing analysis
HVAC analysis
Exterior analysis
Interior analysis
Moisture analysis
Thermal analysis
Environmental analysis
Pest and damage analysis
Material identification
Construction defect analysis

Hardware Plugins

Potential hardware plugins include:

Thermal camera integrations
LiDAR integrations
Drone integrations
Moisture meter integrations
Acoustic sensor integrations
Air-quality sensor integrations
Environmental sensor packs
Specialty inspection cameras
Edge AI devices
Custom inspection hardware

Hardware plugins should use standardized interfaces so hardware can be added or removed without changing the core inspection engine.

Workflow Plugins

Potential workflow plugins include:

Residential inspections
Commercial inspections
Pre-purchase inspections
Pre-listing inspections
Insurance inspections
Maintenance inspections
Reinspection workflows
Post-repair inspections
Disaster assessment workflows
Municipal inspection workflows
Property management workflows

Reporting Plugins

Potential reporting plugins include:

Insurance report formats
Contractor work orders
Property management reports
Real estate reports
Compliance reports
Maintenance reports
Custom organizational reports
Data exchange formats

Regional Intelligence Plugins

Regional plugins may provide localized inspection intelligence based on:

Climate
Weather exposure
Construction practices
Building materials
Regional building characteristics
Environmental conditions
Local inspection requirements

Regional plugins should be independently maintained and versioned.

AI Agent Plugins

Optional AI agents may specialize in individual inspection domains.

Potential agents include:

Structural inspection assistant
Roofing inspection assistant
Electrical inspection assistant
Plumbing inspection assistant
HVAC inspection assistant
Foundation inspection assistant
Moisture analysis assistant
Insurance documentation assistant
Report review assistant
Maintenance planning assistant

AI agents are intended to provide specialized assistance while maintaining human oversight.

Plugin System Requirements

The Inspectra plugin system is designed to provide controlled extensibility.

Plugins should support:

Defined interfaces
Version compatibility
Module isolation
Configuration management
Permission controls
Input and output specifications
Error handling
Logging
Documentation
Version tracking
Model provenance
Hardware identification where applicable

Plugins should not require modifications to unrelated core modules.

AI Model Ecosystem

Inspectra is designed to support multiple AI approaches rather than requiring a single model.

Potential model capabilities include:

Object detection
Image classification
Image segmentation
Anomaly detection
Vision-language analysis
Multi-image reasoning
Temporal comparison
Depth analysis
Thermal analysis
Sensor fusion
Predictive modeling

Models may be replaced, upgraded, or specialized through the modular architecture.

Digital Twin Expansion

Future Inspectra capabilities may include property-level digital twins.

Potential capabilities include:

Three-dimensional property representation
Building component mapping
Historical condition layers
Defect location mapping
Structural change visualization
Moisture progression visualization
Thermal condition mapping
Maintenance history integration
Risk visualization
Longitudinal property health modeling

Advanced Field Intelligence

Future field capabilities may include:

Real-time AI camera assistance
AR defect overlays
Live sensor fusion
Real-time spatial mapping
Automated inspection path guidance
Intelligent image capture recommendations
Automated missing-evidence detection
Edge-based AI inference
Voice-controlled inspection workflows
Automated follow-up recommendations

Future Predictive Intelligence

Future versions may expand predictive capabilities to include:

Advanced degradation models
Building-component life-cycle prediction
Preventive maintenance forecasting
Regional risk intelligence
Environmental impact modeling
Historical failure pattern analysis
Cross-property risk modeling
Longitudinal structural health analysis

Predictive outputs should remain clearly identified as estimates and should provide appropriate uncertainty information.

Open-Source Design Principles

Inspectra is designed around:

Open-source development
Modular architecture
Hardware interoperability
Vendor-neutral integrations
Local-first capabilities
Privacy-conscious operation
Human oversight
Transparent AI workflows
Community participation
Reproducible model development
Extensible inspection intelligence
No mandatory vendor lock-in

Intended Users

Inspectra is designed to support:

Professional home inspectors
Property inspectors
Building inspectors
Structural professionals
Contractors
Property managers
Insurance professionals
Real estate professionals
Researchers
AI developers
Hardware developers
Inspection technology developers
Municipal inspection programs

Inspectra is an assistance and intelligence platform. Professional users remain responsible for validating findings and applying appropriate professional standards.

Development Direction

Inspectra is intended to evolve from an AI-assisted image inspection application into a comprehensive multi-modal structural intelligence platform.

The development direction includes:

More capable computer vision
More accurate multi-image analysis
Expanded defect datasets
More hardware integrations
Improved predictive modeling
Advanced field tools
Specialized inspection plugins
Community-developed AI models
Inspectra Network expansion
Digital property intelligence
Digital twin capabilities
Greater offline and edge processing

Specification Branding License (SBL)

Standard

Fully AGPL-3.0+ compliant system
Copyleft enforced for network deployments
Required attribution:
- Roxanne Ardary
- https://www.roxanneardary.com/

Optional

Specification Branding License (SBL)
- Attribution-free commercial deployment
- Pricing based on scale, usage, and deployment scope
- https://roxanneardary.com/inspectra/

License & Notice Requirements

Inspectra is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
By contributing to this project, you agree that your contributions will also be released under this license.

Please note the following:

All contributions must comply with the AGPL-3.0+ terms.
Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to:
Roxanne Ardary and roxanneardary.com.
Inspectra specifications are free to use with attribution. A Specification Branding License can be negotiated upon request.
The project’s notice.md file tracks attribution requirements and contributor acknowledgments.
Any update that adds new contributors or modifies attribution should also update notice.md.
When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.

For full legal details, please refer to the AGPL-3.0+ license and the project’s notice.md file.

Notice – Inspectra

Attribution Requirement: Under Section 7 of the AGPL 3.0+ license, all redistributions, forks, and derivative works, including network-deployed versions of this project, must provide attribution to Roxanne Ardary and roxanneardary.com.

Contributors

This file tracks contributors and their specific contributions to the project.

Roxanne Ardary, roxanneardary.com – March 9, 2026
Created the repository for Inspectra. Designed and developed the open-source AI-assisted inspection platform, including multi-image defect detection and the initial system architecture.
[Add other contributors here] – [Date]
[Describe contribution in one sentence]

License – Inspectra

This repository is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

Key Points

You are free to use, modify, and distribute the code.
All redistributions, forks, and derivative works or network-deployed versions must also be licensed under AGPL-3.0+ and provide attribution to Roxanne Ardary and roxanneardary.com as required under Section 7 of the license.
The software is provided “as is,” without warranty of any kind.

For the full license text, see GNU AGPL-3.0 License.