Skip to main content
  • Login
  • Join
  • There are no suggestions because the search field is empty.

See AI4M Challenge

mazlite-logo

AI4M Collaboration: Mazlite Inc. | NGen

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.​

About Mazlite Inc.:

The automotive paint shop is the biggest source of regulated chemicals including GHG/VOC emissions; over 80% of all environmental concerns in automobile assembly are related to painting processes. Mazlite offers an industrial spray digitization platform. Mazlite’s platform combines a unique Industrial IoT sensor for direct measurement, software analytics, physics-based AI, and an end-to-end cloud data management system. Mazlite provides a complete solution to improve spray processes to enable manufacturers to to solve product quality issues, improve sustainability, minimize material and energy waste, reduce re-works and boost profitability.

Project Objectives:

  • Monitor paint spray behaviour before application using Mazlite’s IoT sensor and get GO/NO-GO using Mazlite’s AI engine.​
  • Optimize coating processes for colour, appearance, sustainability, and cost using Mazlite’s AI engine.​
  • Improve the AI models for specific applications in each industry
  • Calculate cost savings from waste reductions and improved performance

What THEY bring to the table:

  • Combined 50+ years research experience in sprays and atomization​
  • Utilize our sensor measure the sprays in industrial spraying and provide real-time feedback​
  • Data acquisition and processing of all data from our sensor and all other performance data from the customer
  • Machine learning and AI algorithm development​
  • Our equipment has been validated by major pharmaceutical and automotive paint companies​

What YOU will bring to the table:

We are seeking manufacturers interested in optimizing their complex spraying processes in industrial applications (The ideal market would be coatings such as automotive paint or industrial coatings sectors). They may be facing issues in nozzle selection, determining the optimal spray operating settings, or maintaining consistency in their spraying process in order to reduce waste and increase the quality of work.​

If you are interested please complete the following form.
Join Now
Follow us