Mazlite has manufactured a class 1 div 1 sensor that can be installed inside a paint booth and developed a platform that facilitates real-time monitoring of coating sprays. Spray analytics are then correlated based on scientific principles to optimize process parameters such as colour, coating film thickness, and transfer efficiency. Preliminary results show 80% accuracy in detecting defects of an ML model applied to images captured using the sensor. The goal now is to make data collection faster by reducing-edge computing and by capturing less data to minimize the amount of coatings used when making a measurement. This will demonstrate the platform’s savings and quantify the reduction in the environmental impact.
