AIMap IT provides a GIS inventory mapping tool that utilizes computer vision and geotagging to create digital twins of roadside infrastructure with 2-meter location accuracy. This technology enables telecom and utility providers to efficiently monitor and manage distributed assets, reducing the time and costs associated with manual surveys.
Funding
Funding not disclosed
Founders
Product
Problem
Telecom and utility providers face challenges in efficiently monitoring and managing distributed roadside assets due to reliance on costly and time-consuming manual surveys. The lack of accurate and up-to-date location data for infrastructure assets hinders effective planning, maintenance, and resource allocation.
Solution
AIMap IT offers an AI-powered platform that creates digital twins of roadside infrastructure using computer vision and geotagging techniques applied to street-level imagery. The platform automatically detects and maps assets such as poles, traffic signs, and storm drains with 2-meter location accuracy. By leveraging existing image repositories or capturing new imagery, AIMap IT eliminates the need for manual surveys, saving time and resources. The technology also monitors the condition of assets over time and detects asset attributes like height and equipment loading.
Target Audience
The primary target audience includes telecom and utility companies, road management agencies, and smart city initiatives responsible for managing and maintaining distributed roadside infrastructure.
Features
- Automated detection and geotagging of roadside assets from street-level imagery
- Digital twin creation with 2-meter location accuracy
- Patented technology using statistical and image processing techniques
- Integration with existing image repositories or new image capture options
- Monitoring of asset conditions and detection of asset attributes
- Seamless integration for continuous improvement and accuracy of asset tagging