Toronto, Ontario — A Toronto-based startup says it’s using tech innovations to detect slight changes in the automotive spraying process to avoid defects and reworks caused by changing colours or poor surface finishes.
According to an article from Swagger Magazine, Mazlite’s cloud-based sensors measures assembly line spray patterns every few minutes to ensure thickness levels are correct. The device can also detect dirty nozzles or defects in materials, in addition to any human or robot errors. The sensors continuously monitor paint materials to avoid any defects in altered colours or poor finishes in real-time.
Mazlite’s website says the browser-backed interface can work on any type of computer, tablet or phone. The platform is driven by AI analytics tailored for quality assurance and predictive maintenance on the assembly line.
Video: Mazlite
The technology taps into work by hired students researchers from Mitacs, an organization designed to tackle business challenges with academic research.
“We work directly with large automotive manufacturers [OEMs, Tier 1, etc.),” writes Mazlite on its website. “Multiple studies and reports have shown that paint droplet size significantly affects the colour and surface finish on a car. Monitoring with our device for predictive maintenance can avoid defects and reworks.”
According to the company website, Mazlite also develops solutions for the pharmaceutical, agriculture, food processing, mining and aerospace industries, among others.
