A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy with shallow classifiers. The lightweight system works in real time on drones or edge devices and could save 17,620 kWh and 8.9 tons of CO₂ annually by improving fault detection in solar panels…
https://www.pv-magazine.com/2026/01/09/new-multi%E2%80%91hotspot-detection-tech-based-on-lab-feature-descriptor/
