Case Study - AI EPC automation
AI for automating EPC assessments
Summary
New Gradient developed an innovative AI solution for Elmhurst Energy, combining image segmentation and monocular depth estimation deep neural networks to significantly accelerate the process of window measurement for Energy Performance Certificate (EPC) assessments, aligning with new regulations.
AI tools to automate EPC rating
Energy Performance Certificate (EPC) assessment is a time-intensive task for energy assessment companies. Recent changes in government regulations now require each window on a building to be measured independently. This new requirement has made the EPC assessment process, particularly the window measurement aspect, even more time-consuming and labor-intensive for energy assessors.
New Gradient's AI solution for window measurement in EPC assessments demonstrates our ability to apply advanced machine learning techniques to solve practical, industry-specific challenges. By automating a time-consuming manual process, we're helping Elmhurst Energy adapt efficiently to new regulatory requirements. This innovation will not only save time and resources for energy assessment companies but also contribute to more consistent and accurate EPC ratings. This project showcases New Gradient's expertise in developing AI solutions that can transform traditional workflows, particularly in response to evolving regulatory landscapes.
This AI-powered system eliminates the need for energy assessors to manually measure each window individually. By automating this crucial aspect of the assessment process, our solution saves assessors a significant amount of time on each property evaluation. The technology not only increases efficiency but also ensures consistency and accuracy in window measurements across different assessments.
For our client Elmhurst Energy, we developed a cutting-edge solution that leverages two advanced deep neural networks to automate the process of measuring window sizes for EPC assessments. Our approach combines state-of-the-art image segmentation techniques with transformer-based monocular depth estimation to provide accurate measurements for each window on a property.
