Cloud-based AI-driven solution for data extraction and processing.
Asset extraction from roadway images requires extensive manual effort which is time-consuming, expensive, and prone to random human errors. Transconomy Hub is an AI-powered cloud service that automatically extracts roadway assets for transportation asset management
Standardized Asset Inventories
Transconomy automates and accelerates data processing activities for agencies to create standardized transportation asset inventories. Using Artificial Intelligence (AI), the software is capable of automatically detecting and classifying 300+ unique roadway assets including traffic signs according to the Federal Highway Administration’s (FHWA) Manual for Uniform Traffic Control Devices (MUTCD), other point assets (such as light posts, utility poles, fire hydrants, etc.), line assets (such as guardrails, medians, barriers, etc.), and many more asset types as per the Model Inventory of Roadway Elements (MIRE) specifications. It offers lower cost and processing time per mile for creating roadway asset inventories as the asset extraction is mostly carried out by AI algorithms giving Transconomy a competitive edge.
Intelligent Solution For Repetitive Images
Transconomy Hub automatically identifies duplicate assets across consecutive images collected using our smartphone app - Transconomy Collector or even images collected by your own source. The AI models minimize human efforts to sort every image separately. This process also eliminates random human errors which are difficult to rectify. Using feedback loops for the AI models, Transconomy also provides stratified quality control (QC) services to reduce systematic errors.
Independent of Image Source
Transportation asset management tools should be designed to be data agnostic to maintain flexibility and handle multiple data sources, types, and formats.Transconomy Hub can process data collected from any data source. Simply take images from your smart device with geocoded referencing and upload on Transconomy Hub. Smart AI algorithms can extract and segregate data sets based on their individual types and identification codes.