NoteWorthy
Noteworthy Inspect uses fleet-mounted cameras and AI to help electric utilities identify distribution-grid defects and inventory assets during routine operations. Utility teams can review findings in a web interface and use them to guide inspection and maintenance.
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Who it's for
- Electric utility asset-management teams seeking to inventory pole-top equipment and digitize asset tags and ratings.
- Distribution-grid inspection teams looking to detect pole defects using imagery collected from existing fleet vehicles.
- Utility operations teams assessing lighting, vegetation, storm damage, or third-party equipment across their service areas.
How it fits your workflow
Noteworthy AI retrofits camera systems to a utility's existing fleet. Cameras collect data passively as vehicles carry out routine operations, without requiring an operator to perform a separate inspection.
The platform processes imagery with AI, including on-the-edge processing for defect notifications. Applications include pole inspection, asset inventory, lighting audits, storm damage assessment, vegetation assessment, and joint-use equipment tracking.
Users review results in a web-based interface, create custom annotations for additional problem areas, and can import collected data into existing asset management or GIS systems.
Pricing
The vendor doesn't publish prices. Check with NoteWorthy directly.
Prices checked on Oct 6, 2026 from the vendor's site. They can change; confirm before you buy.
Key features
- Fleet-based data collection
- Camera systems are mounted on existing fleet vehicles to collect infrastructure data automatically during routine operations, without requiring an operator to collect it.
- AI-powered inspection
- Customized machine-learning models help detect distribution-grid defects, including crossarm damage, deteriorating pole tops, leaning poles, and double poles.
- Asset inventory
- The platform can geolocate and inventory pole-top assets, digitize asset tags and ratings, and identify idle transformers.
- Real-time defect notifications
- On-the-edge processing supports immediate notification of asset defects and is intended to reduce downstream cloud processing costs.
- Multiple field applications
- High-resolution imagery and pseudo-LiDAR support applications such as defect detection, vegetation overgrowth identification, and measurements.
- Web-based review and annotation
- Users can review results in a web interface and create custom annotations to indicate additional problem areas.
Works with
- Asset management systems
- GIS systems
- Noteworthy cloud software
Getting started
- Request a demo or contact Noteworthy AI through the website.
- Discuss the utility's intended inspection or asset-intelligence applications.
- Use the camera system mounted on existing fleet vehicles to collect data during routine operations.
- Review processed results and add annotations in the web-based interface.