AI Applications
Computer Vision
Analytics using Images and Videos
Sewer CCTV
Process Sewer CCTV data efficiently to locate sewer defects.
Flood detection and segmenting the flooded areas.
Real-time identification of flooded areas in images and videos including the determination of flooding in urban intersections using videos from traffic cameras
Building footprint determination
Use of LIDAR data to determine the boundaries of structures
Machine Learning
Analytics with Deep Neural Networks and Recurrent Neural Networks
Water-main break prediction
Highly accurate predictions of the remaining useful life using Survival Analysis based AI. Consequences of failure (CoF) determination.
Sewer-main condition prediction
GIS data and CCTV data is leveraged to predict the locations of sewer defects.
Wildfire prediction
Wildfire history and other environmental data is used to train an advanced LightGBM model that has shown good accuracy.
ChatGPT and other Large Language Models (LLM)
Generative AI for Environmental Applications
Situational Awareness
Improving the situational awareness of first responders through LLM-based analysis of available real-time data-streams
Sentiment Analysis
Analyze customer comments to discover issues and turn unhappy customers into happy customers
Workforce Training
Train custom LLM models with your organization workflow knowledge and use the new models to train new hires