In March 2012, Tmall used the entire pavilion to try out a new online shopping experience – virtual fittings – at the annual celebration of its new logo. Virtual fittings utilize a technique called augmented reality (AR) that helps users determine if the selected item is suitable for wearing on their body.
Virtual fitting is the biggest problem that plagues online shopping. The head of Tmall’s technology said at the time: “Consumers feel that online shopping is good, but its biggest disadvantage is that you can’t really feel this. What it feels like to wear something on the body. So when this problem is solved, the online shopping experience becomes perfect.†It promises to open up the online experience and purchase based on AR in the future.
After returning to two years, I have to say that the demonstration is a demonstration. Tmall has no special attention to the virtual fitting, and our current online shopping is still the same.
But now, this problem is about to be solved, and the virtual fitting is really coming.
It comes from a collaboration between Jingdong and Intel. On the morning of December 17, Jingdong and Intel announced the joint establishment of “Jingdong Intel Joint Innovation Lab†to cooperate on various aspects such as technological innovation, user experience enhancement, and enterprise-level product e-commerce, including Intel’s self-developed real-world technology ( RealSense), combined with the Jingdong app, will bring a virtual fitting experience.
See how the two parties cooperate. RealSense is a Kinect, Leap MoTIon-like somatosensory technology based on Intel's launch of a variety of cameras, devices equipped with such cameras will have 3D scanning capabilities. 3D scanning means that the camera takes an item and can generate its three-dimensional model. After the Jingdong app gets the user's three-dimensional model through the RealSense camera, it will recommend the corresponding clothes. The size, dimensions and other data of the clothes come from various manufacturers, and a match is made between the user data and the clothes data, so that the user can find and help the user to select the most suitable clothes.
In addition to fit, this collaboration also plans more services that are full of imagination. For example, if many people do not match clothes, then whether the platform can provide aesthetic or brand stylist services; for example, whether it can be expanded from clothes and hats to more fields, such as cosmetics, skin care products, etc.
It is no exaggeration to say that it is actually a major breakthrough. Throughout the history of the entire virtual fitting, this concept has always been on the edge. There have been applications such as the principle of “uploading photos, hard clothing†in the initial stage, demos of geek players using 3D scanner DIY, and non-scale devices like Tmall demonstrating on the stand. It has a long distance. In contrast, RealSense-based services are closer to the client and are more likely to be popular.
It may also be necessary to explore the data privacy issues of the 3D model. RealSense allows us to easily get other people's personal data, which has a great impact on the increasingly serious privacy issues. What do you need to consider how to deal with it, what is the boundary between rational use and abuse? What if I am abused?
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