Making 3D Body Scanning 4500% More Precise (finally better than hand measurement!)

What is it about?

Ever wanted to step into a booth, have a computer scan your body, and have a custom made set of jeans to fit your exact form? 3D Body scanning promises just that. But when 3D Body Scanners measure people, the measurements can be so different from what you would take with a tape measure that the end results cannot be easily used. 0% of measurements meet the precision a tailor can meet and are too imprecise to use to design clothes. Practitioners need a lot of training to spot errors, remove them from the data set, and rescan the person. Mistakes are common. Because of this, 3D body scanning is slow and, in many ways unreliable. We solve this problem. We take the 121 measurements from 97 participants and compare the industry's current way of working to our new GRYPHON data-processing method. GRYPHON (free to download and use) takes five measurements, identifies the errors, and removes them. The result: 97.5% of measurements are better than a trained tailor can measure. On average, non consecutively taken measurements (the current industry standard) have an average precision of ± 13.8 cm. With Gryphon and consecutive scanning, achieve a precision of ±0.3 cm on average. This is an increase of 4500% in precision!

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Photo by Diana Polekhina on Unsplash

Photo by Diana Polekhina on Unsplash

Why is it important?

If the 3D Body Scanning industry adopts GRYPHON into their software, then they will make their measurements 353% more precise than they currently are, all through a simple software update. We hope this will speed up 3D body scanning, removing the need for highly trained operators to correct mistakes, and - ultimately - help 3D Body Scanning create custom garments for everyone - without the fuss. Improving 3D body scanning's precision is urgent because recent research (https://link.growkudos.com/1r9btanooao) proves that small changes in measurements (e.g., caused by impression) can recategorise a woman into a different body shape (e.g., she is a Spoon, but the computer thinks she is a bottom hourglass).

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