"Advanced Automatic Detection Technology for EL InspectionIR Thermal Defects in Solar Modules" has novel technologies such as adaptableadjustable Yolo architecture, incremental learning, transfer learning,IR thermal detection, which can accurately detect dozens of defects in real-time with accuracy rate of 99.8. This technology has been certified by KIWA in the Netherlandshas created several world firsts, making it a leader in solar module defect detection technology.

Defect detection for solar modules relies on manual visual inspection without the integration of AI technology. The detection accuracy is about 75-95, with time-consuming inspectionsinconsistent standards. Our technology is based on the original adaptableadjustable Yolo architecture, incremental learning, transfer learning,IR thermal detection, which can accurately detect dozens of defects in real time, with an accuracy rate of 99.8,has obtained KIWA certification.

This technology can be applied to any solar module, ranging from single-chip cells to large-scale defect detection of module arrays. We have successfully obtained orders from 8 customers of the world＇s top ten solar module manufacturers to assist in the detection of EL defects in solar modules. Domestic large-scale solar photovoltaic power plants in various townships to carry out IR infrared thermal image recognition. Committed to becoming the world＇s largest solar module defect detection team.