Noteworthy AI helps electric utilities evaluate the condition of the distribution grid at-scale. By leveraging fleet vehicle-mounted cameras, edge computing and computer vision to automate data collection and analysis, Noteworthy can significantly increase situational awareness of the distribution grid while reducing operations and maintenance costs.
Noteworthy's product, Inspect, is an end-to-end solution for grid data collection and analysis. Inspect consists of an AI-powered camera system that mounts non-intrusively on fleet vehicles and operates fully autonomously during routine operations with no disruption to the crew. As the vehicles drive, the system automatically geolocates and captures high-resolution imagery of distribution poles. Proprietary machine learning models enable low-cost data analysis in the context of several applications, including: asset inventory/GIS clean up, asset inspections, vegetation management, 3rd party attachment assessments, lighting and more.
Inspect also comes with cloud software, through which users can view detected assets on a map and drill down into each asset to view more details, including geographic coordinates, imagery and AI model results. Information in Inspect is fully indexed, enabling users to perform natural language searches such as, “show me poles with broken crossarms” or “show me poles with 25 kV transformers” and results are returned in seconds.
Inspect helps utilities significantly increase situational awareness on the distribution grid, helping to improve reliability, resiliency and safety, while reducing operations and maintenance (O&M) costs.
Utilities commonly use Inspect to better understand their distribution infrastructure in the following ways:
- Know where poles are, what’s on them and their condition
- Shift from cyclical to condition / severity-based inspection programs
- Validate 3rd party / joint use attachments and clearance requirements
- Plan LED lighting conversions
- Understand where upgrades are needed to support increased demand
- And more
- Asset Tracking and Analysis
- Operational Efficiency
- Situational Awareness
- Risk Management
- Field Service Management
- Electric and Gas Utilities
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Aug 31, 2023