Case Study: a solar EPC achieves faster defect detection and remediation with SenseHawk

solar EPC reduces defect remediation time and boosts yield over 4% with SenseHawk

a leading EPC was constructing a large integrated solar and energy storage project and needed a way to quickly and accurately identify, classify, and remediate defects in installed solar modules at the end of each construction phase. Their challenge was that traditional handheld thermography methods were slow and inefficient, making it difficult to stay on schedule and ensure optimal power generation capacity. They approached SenseHawk to utilize its Therm and Drone Analytics services.

SenseHawk implemented its drone scan-based defect detection platform, which used AI to analyze imagery, identify defects, and create a map layered on a digital model of the site. Each defect was converted into a task for field teams to investigate and remediate using a mobile app. This solution significantly reduced the time and effort required for defect identification and remediation. As a result, the EPC increased its forecast energy yield by over 4% and was able to efficiently reassign manufacturing defects for warranty claims.

Solar EPC