In the world’s largest 3D foot scan database, do you really know your feet?

Just carry out daily activities every day, most people's walking distance is also about 3-5 kilometers… Although we use it every day, do we really know our feet? A thousand people may have a thousand pairs of different feet. How do you understand them? How do you know which shoes are more suitable for you? Perhaps the best way is to "seeing is believing."

▲Picture from: Sina

Volumental, a 3D printing technology service provider in Sweden, recently received a strategic investment of USD 13 million. As a 3D printing technology company established in 2012, Volumental has provided 3D printing services for thousands of customized products. According to the company, the funds recently received will be used for product development and marketing worldwide.

Speaking of Volumental's products, one has to mention FitTech, which is the company's integrated platform for 3D foot scanning and retail purchase data, with a set of fully integrated 3D scanning and data tools.

▲Picture from: Volumental

Through a 3D foot scanner or a mobile scanning application, foot data including arch length and sole width can be obtained in a few seconds, and then combined with retail purchase data and AI-driven Fit Engine, through the machine The learning algorithm is used to match, and customers can get accurate size and footwear recommendations.

▲Picture from: Volumental

If people wear inappropriate shoes, not only will they feel uncomfortable, but they may also damage the muscles of the feet and deform the feet. Therefore, choosing a suitable pair of shoes can be said to be everyone's "just need".

Some brands choose to make shoes more comfortable. For example, Adidas launched the midsole cushioning technology Boost that year. The comfortable sole with "feeling on shit" has won the favor of many customers. With high sales, Adidas got rid of its previous performance. Good performance.

▲Picture from: Flickr

Peak has previously adopted adaptive midsole technology "state pole" in its shoes, using the polymer smart material P4U to keep the sole soft during daily walking, and the elasticity will change during running for better support.

▲ Picture from: Peak

The comfort level of the shoes itself has changed a lot, and the size and fit are still problems that customers and brands need to solve. For athletes who are engaged in high-intensity exercise, or children who are still in the developmental stage of their feet but cannot accurately express their feelings of wearing, how to choose the right shoes is particularly important.

▲Picture from: Volumental

It is precisely because of such a large potential user group that Volumental currently has the world’s largest 3D foot scan database, and has established cooperation with many American companies. The European and Asian markets are also expanding. It is foreseeable that this market will also be in the future. Will continue to grow rapidly.

With the help of Volumental's 3D technology, brands can provide customers with suitable shoe shapes when purchasing, or by adding insoles to make shoes more suitable for customers' foot shapes, and can also use 3D printing to provide customers with accurate customized services .

▲Picture from: Volumental

With enough foot data, brands can also use this to develop shoe types that fit more people, customers can choose suitable shoes, and brands can better understand customers. It can be said to kill two birds with one stone. Fleet Feet recently collaborated with the Finnish running brand Karhu to use 100,000 Volumental foot scan data to create a new last-shaped "Ikoni" running shoe.

"Data starts with a single step." The development of 3D technology and big data allows us to fully understand our feet. We hope that in the near future, everyone can accurately and quickly find a suitable pair of shoes for themselves.

#Welcome to follow Aifaner's official WeChat account: Aifaner (WeChat ID: ifanr), more exciting content will be provided to you as soon as possible.

Ai Faner | Original link · View comments · Sina Weibo