Thread detection

{currently in progress}

"check, detect, alert!"

about our product

Why get the Thread Detection app? (Problem)

In textile manufacturing factories there are countless defects and mishaps that happen, even though most of the production is done by machines. Even after the fabric is checked by human individuals, there are many mistakes that the bare eye can't see, and some that just get overlooked. Fabric defects during production are actually quite common as they often result from malfunctions with the sewing machines in these facilities. These mistakes are often first noticed by customers who realize that something feels or looks weird. This may lead to returns and unhappy customers, which can negatively impact retailers and the manufactures that provided the retailers with the defective products. Additionally, with all the knockoffs on the market, it can be hard even for fashion collectors to differentiate between what is authentic and what is not, because fabric quality isn't always visible to the bare eye and fakes have gotten extremely sophisticated. This can lead to devastating mistakes and tremendous losses of money due to lack of resources to check things like thread count which are typically higher in higher end items.

Demo video

This video demonstrates the features and functions of the Thread Detection app prototype.

Product Description:

Thread Detection is an AI based app that can detect fabric defects, even those commonly missed by human investigation. Our app makes this process more efficient and cost effective. Thread Detection can find drop stitches, splicing, thin placing, snags, and many more defects that the bare eye may or may not be able to see.

Drop Stitches

Splicing

Thin Placement

Snags

Target Market:

This app is targeted for any manufacturing factories and fashion collectors who want to more easily and efficiently find defects in items along with item quality.

Background Code:

Thread Detection Background Code

Background Research

Market Research:

Fabric defects are unavoidable, but by the time consumers buy items, there should be no defective items available for sale. However, this isn't the case. Customers nowadays feel the need to check their clothing on their own, and when there are defects in the items, they are less likely to come back to that retailer, which leaves both the consumer and retailer worse off. This problem needs a better solution than anything available right now, and that's where Thread Detection comes in handy! By turning these processes autonomous we are cost effective and increase accuracy, efficiency in determining thread quality.