AI Disclaimer

Last updated: April 26, 2026

ThermalVision AI uses artificial intelligence to analyze infrared thermography images and generate reports. This disclaimer addresses the capabilities, limitations, and appropriate use of AI-generated thermal analysis.

1. Nature of AI Analysis

ThermalVision AI employs large language models (LLMs) and computer vision technology to interpret thermal images. The AI identifies thermal patterns, anomalies, temperature differentials, and potential equipment issues based on training data and pattern recognition. AI analysis is a decision-support tool and does not replace professional judgment, certified thermographic inspection, or engineering assessment.

2. Accuracy Limitations of Thermal Analysis

Users must understand the following accuracy limitations:

  • Temperature Readings: AI-estimated temperatures are approximations based on visual thermal patterns. Actual temperatures depend on emissivity settings, distance, ambient conditions, and camera calibration — factors the AI cannot fully account for from a single image.
  • Severity Ratings: The 1-4 severity scale is based on general industry guidelines and pattern matching. Actual severity depends on equipment type, operating conditions, load factors, and environmental context that may not be visible in the thermal image.
  • Anomaly Detection: The AI may fail to detect certain anomalies (false negatives) or may identify normal thermal patterns as anomalies (false positives). Detection accuracy varies by inspection category, image quality, and equipment type.
  • Root Cause Analysis: AI-suggested root causes are probabilistic assessments based on common failure modes. The actual root cause may differ and should be verified through physical inspection and testing.
  • Maintenance Recommendations: Recommended actions are general guidelines. Specific maintenance procedures should be determined by qualified personnel familiar with the equipment and site conditions.

3. Factors Affecting Analysis Quality

The accuracy of AI thermal analysis is significantly affected by:

  • Image resolution and quality of the infrared camera
  • Emissivity settings and reflected apparent temperature
  • Distance from the target and angle of measurement
  • Ambient temperature and environmental conditions
  • Equipment load conditions at the time of imaging
  • Wind, solar loading, and other external heat sources
  • Camera calibration and lens condition

4. Not a Substitute for Professional Inspection

ThermalVision AI does not replace certified thermographic inspections. Critical infrastructure, safety-related equipment, and high-value assets should always be inspected by qualified Level I, II, or III thermographers in accordance with applicable standards (NETA MTS, NFPA 70B, ASHRAE, etc.). AI-generated reports should be reviewed and validated by qualified professionals before any maintenance decisions are made.

5. Standards Alignment

While ThermalVision AI references industry standards such as NETA MTS, NFPA 70B, and ASHRAE guidelines, the software is not certified or endorsed by any standards organization. References to these standards are for informational context only and do not imply compliance certification.

6. No Liability for AI-Generated Content

ProEdge shall not be liable for any damages, losses, injuries, or costs arising from reliance on AI-generated analysis, severity ratings, recommendations, or reports. This includes but is not limited to:

  • Equipment damage resulting from undetected anomalies
  • Unnecessary maintenance performed based on false positive detections
  • Personal injury or property damage from acting on AI recommendations
  • Business losses from equipment downtime or failure
  • Regulatory non-compliance based on AI-generated reports

7. AI Model Updates

The AI models used by ThermalVision AI may be updated periodically. Analysis results for the same image may vary between software versions as models are improved. Previous analysis results should not be considered immutable.

8. Data Processing

When AI analysis is performed, thermal images are transmitted to third-party AI services (OpenAI) for processing. While we take measures to protect your data, users should be aware that thermal images may contain sensitive information about facility conditions and equipment status. See our Privacy Policy for details on data handling.

9. Recommended Use

For best results, we recommend:

  • Using ThermalVision AI as a screening and prioritization tool, not as the sole basis for maintenance decisions
  • Having AI-generated reports reviewed by qualified thermographers
  • Verifying critical findings with follow-up physical inspections
  • Maintaining proper camera calibration and using appropriate emissivity settings
  • Documenting environmental conditions at the time of imaging
  • Following your organization's established inspection protocols and safety procedures

10. Contact

For questions about AI capabilities and limitations, contact us at [email protected].