Case Study: Yoozen achieves faster, more accurate solar panel defect detection with Lasting Dynamics

Yoozen catches 76% more substandard solar panels with Lasting Dynamics

Lasting Dynamics partnered with Yoozen, a quality assurance platform for solar panels, to address their challenge with inadequate defect detection. Traditional manual inspections were prone to human error, missing a significant percentage of defects, and creating costly production bottlenecks that hindered the manufacturing process.

The solution developed by Lasting Dynamics was the ZenSolarAI platform, which uses advanced image recognition to identify flaws. This AI-powered tool proved to be 10 times faster and more accurate than manual inspections, catching 76% more substandard panels in a study and achieving a 99.8% defect detection rate. For Yoozen, this resulted in significantly reduced manufacturing costs and a more efficient, scalable production process.

Yoozen