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    The Technology Of Virtual Clothing Fitting, Which Is Not Too Warm, Can Find A Breakthrough To Start A Prairie Fire.

    2019/12/3 13:48:00 0

    Virtual FittingTechnologyBreakthroughPrairie Fire

    "Clothing, food and shelter" is the basic demand of human beings. The moment the ancestors put their leaves and skins on their bodies symbolized the beginning of human civilization. After years of long baptism, today's pursuit of clothes is not only a matter of shelter from the cold, whether clothes fit well, whether the style is fashionable or whether clothes are suitable for different occasions... More and more factors have been included in the consideration of clothing purchase.

    In this way, when people buy clothes, they have to try to know whether they can meet the above requirements, so in the clothing shop, the fitting room has become the standard. But the problem is, with the development of the Internet, the rise of the electricity supplier, buying clothes on the Internet has become the choice of many people, but online can not personally try like the line, and the appearance of virtual fitting technology can solve this pain point to a certain extent.

    It can be said that the virtual fitting really is very popular with the platform and businesses. Many electronic business platforms and APP are developing this function. Under the line, some businesses have introduced "virtual clothes mirror" and so on. But in fact, the virtual fitting is not as hot as expected, but has been in an awkward state of being hot and cold. Why? If we can find out these reasons and "prescribe the right medicine", is there any chance of great heat in the virtual fitting? In this situation, if there are practitioners in this field, is there any other motivation?

    First, virtual fitting is good but not popular. Technology and cost are difficult problems.

    In fact, the technology of virtual fitting has already appeared. In 2011, Jingdong and Intel reached a strategic cooperation and applied the Microsoft KINECT virtual fitting mirror to Intel's digital signage annual meeting. In 2012, Tmall launched the "virtual fitting" function in the annual celebration of the new Logo. In 2014, the UNIQLO virtual fitting room appeared, using 4D technology, users can adjust themselves according to the body's data, making the virtual image more realistic.

    In 2015, Taobao launched the virtual fitting function. It made the 360 degree rotatable 3D model of the clothes that the user wanted to buy, and showed the details of the clothing to the users. In 2018, Amazon obtained a patent for a virtual fitting, combining the real image of the user with the virtual image through the display screen, projector, camera and mirror, and the user can decide whether to buy it according to the result of the fitting.

    You can see that in recent years, virtual fitting online and offline have tried to trace. Theoretically speaking, the industry is quite promising.

    On the Internet, users can only buy clothes according to data and intuition, but can not try them on in person. Clothing is a non-standard product, even a very personal character. Although there are model shows in online shops, there are also detailed descriptions of emerging live shopping. But for clothing, what users want most is "the effect of this dress on me," not the effect of those who have "standard stature". Consumers can not confirm at that time, and the probability of returning goods will be much higher than that of offline stores. This is a kind of damage to user experience and a lot of trouble for businesses.

    Online, although consumers can try it on, there are still pain points. For example, in some shopping malls or stores with large traffic volume, the fitting rooms are often full, and users often need to wait. The fitting process is very troublesome, especially in the winter, and there are many clothes on its own. Consumers are constantly trying to wear clothes that are likely to be stained with sweat, lipstick or damage, which is also undesirable.

    These pain spots are all practical and urgent to be solved. It is reasonable to say that the virtual fitting of these pain spots should be hot, but in fact it is not.

    As far as the existing virtual fitting equipment is concerned, the fitting effect is not realistic, neither can it actually build the virtual image close to the user, nor can it really show the physical material and characteristics of the clothing.

    In the aspect of user image, only by modeling and data adding can not really show the user's figure. In reality, even those who are of the same height and weight will have a great difference in shoulder, chest, waist and other details, which will have a great influence on the upper body effect of clothes. Moreover, if online shopping is not possible to share physical data, users may need to repeatedly store data in multiple platforms that support modeling, which will virtually reduce the shopping experience.

    In terms of fabric and material, virtual fitting can not show the effect. Like Taobao, the way to watch the details of clothing through unlimited enlargement of pictures, although it also meets some of the visual needs, but it is far from enough. When choosing clothes, texture, color difference and drape effect are important reference factors. If it is just a virtual fitting, these are not felt, so even if there is a virtual fitting equipment on the line, many users prefer queuing to the fitting room.

    In terms of cost, handling a set of virtual clothing requires thousands to tens of thousands of yuan, and the price of imported equipment is not cheap. Such a cost is probably only affordable to luxury stores. If it is an ordinary shop, the equipment usage rate is high, and the new frequency of clothes is fast, it is difficult to keep up with the update of clothes in the virtual fitting equipment, and how to maintain it is a big problem. Compared with this cost, the user does not seem to be too expensive to rub lipsticks or damage clothes on clothes.

    All these obstacles have made the virtual fitting better, but it has not yet been delayed. If we want to tear open the breach, we must rely on the constantly developing advanced technology to tear the breach in data, modeling, fabrics and services.

    Two, want to tear the "breakthrough"? Technology is the absolute principle.

    If we want to make virtual fitting into a "prairie fire", we should first solve the pain point that users do not have to replace: first, we must ensure the truth, and also meet the needs of beauty, personalization and so on. Nowadays, 3D, 4D modeling, computer vision and graphics technology can be applied in a comprehensive way. Nowadays, there is a standardized procedure for clothing shooting. A set of clothes can be photographed in a few minutes, and then it is modeled by algorithm.

    Image modeling can combine user data collected with user autonomy. Of course, a considerable number of users are not clear about their body data, which can be solved by body tags. The virtual try out company has launched a service called "good buy clothes". Users only need to input basic data, and combine the label of "thigh thickness" and "belly button" to create a virtual body more accurately.

    Apart from the figure, whether the facial information is true is also crucial to the fitting effect. If we want to satisfy this, we can capture the user's face by AI technology, such as face recognition. For example, the virtual clothing company "clothing vein" can be identified and restored in a short time to create a user's 3D facial feature model.

    The problem of virtual image is solved, and the material and fabric of the virtual clothing are also close to the real. Focus on the virtual fabric of the start-up company, "Xin Dong HeartDub", through the AI physics engine, high-precision digital restoration of the fabric of clothing, can make the virtual clothing texture, pattern, color more realistic, and has the physical clothing upper body pendant feeling.

    It can be said that the problems faced by virtual fitting now can be solved gradually with the development of technology. In recent years, there have been platforms and capital entering the industry to explore and research, indicating that even in the virtual fitting industry is not mature enough, there is still much room to explore, or these practitioners recognize that the industry will become a trend in the future.

    But why are they so determined? Because virtual fitting is not only to satisfy customers' needs, but also to produce a series of "chain reactions".

    Online, the virtual fitting environment will become a key factor for users to buy clothes. So how to enhance the attractiveness of this link is very important. In fact, the data generated by users during the fitting process can be collected and used as an important basis for recommending clothing to users. If we try clothes on line, the system can recommend the most suitable clothes for us according to our body data, and believe that the conversion rate will be greatly improved.

    The online data collection is based on APP, and the virtual fitting equipment can be used as an entry under the line. At present, virtual fitting equipment appears mostly in high-end stores. Data acquisition has become one of the main functions of such devices when the scale can not be realized for the time being. Real person shopping guide can also achieve a high rate of repeat purchase. Virtual fitting equipment can collect data on user profile and consumer preferences through AI technology, and provide intelligent shopping guide service. It can better get users' personality than real person shopping guide, and can promote the user stickiness and repeat purchase rate more effectively than real person shopping guide.

    Besides shopping guide, the data collected through virtual fitting APP and offline equipment have deeper meaning. Promoting the popularity of virtual fitting can not only affect the "fitting" itself, but also have greater significance.

    Three, the virtual fitting to collect data, behind it has a deep meaning.

    When users browse, try and buy, a series of behaviors are recorded in the form of digitalization, which has practical significance for customization, clothing design and so on.

    Tailoring has always been popular before fashion became popular. Today, however, only suits, shirts and a few high-end women's clothing can be customized. In this fast-paced era, "tailoring" has become a niche behavior. Suits and shirts are of a single style and can be simply designed on the basis of garment templates. While women's clothing is complex, it is possible to achieve customization unless there is enough cost.

    But on the other hand, nowadays consumers are increasingly not taking cost performance as an important factor in buying clothes. As long as their personality is high enough and their quality is high enough, it is also possible to spend more money, especially in terms of "personality" demand. This demand can be met through personalized design and customization.

    With the help of advanced technology such as AI, this can be achieved. Based on the information collected, the virtual models and features are constructed. Based on these information, the design and edition are completed. The process is basically completed by algorithm, which reduces labor cost to the greatest extent and is expected to achieve large-scale application. In addition, obtaining data is helpful to establish a membership system for merchants and platforms, to carry out precision marketing, and to form a complete industrial chain.

    In this way, we can maximize the users' needs as much as possible, and let businesses more profitable channels, and also promote the further popularization of virtual fitting technology. This is the "utilitarian" motivation of businesses willing to try virtual fitting, and it is also the most active part in promoting the development of virtual fitting technology.

    For online e-commerce platform, virtual fitting may become a turning point in the e-commerce industry. Whoever can really master this technology can take a sudden rise in the fierce competition. But if we want to achieve this, we must strive to create a reasonable closed loop for purchase, and improve the use of virtual fitting in mobile terminals.

    Although the current virtual fitting applications and devices are not perfect, they still attract many users and inward visitors. With the development of technology and the maturity of the industry, we can find a breakthrough to make it a "prairie fire". Virtual fitting is bound to become a trend.

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