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The Size Interface incorporates four basic flavours of intelligence for evaluating the size and come up with matching solutions.
AI technology interface for retrieving and measuring the human body shape and size. The exact measurements of a human body can be retrieved through any of the following methods.
Body Measurement Tape: The most traditional and typical method of measuring size. A tape can be used to measure the parameter of a human body. This is input can be provided as an input to the application which can process it.
Mobile Camera: Measurement made as simple as a Selfie. Take a picture of the user to whom the cloth is to be purchased. Feed the input to the application for evaluating the size by itself and suggest clothes.
Dual Photo: 2 pictures of the user in straight and side pose can be provided as an input. The size can be retrieved from those pictures using AI techniques.
Continuous and Dynamic measurements: The size retrieval process can be continuous or dynamic. Since the human body measurement undergoes variations with respect to time, size validation is required. Continuous measurement records the user size once in 3 months and keeps a track of the size. Dynamic measurement records the size randomly whenever required and evaluate.
AI interface for measuring the cloth size and comparing that with the human body measurement. This validation is done with AI and a virtual preview of the cloth is displayed.
Level of fitting: The size measurement can sometime be matching multiple values. In such case the app notifies the level of fitting such as tight, slim, short or large based on the user size and shape.
Virtual Preview: The most pivotal feature of the app is the virtual preview. The cloth that is selected by the user will be previewed with the user picture. From the output result the user can decide how it loos on them and make their purchase accordingly
Variation of cloth and body measurement: In some cases there will be slight variations in the cloth size with respect to the user measurement. Even though the difference is not an impact, the variation is notified to the user. The user can review the variation and proceed with purchasing the cloth if required.
Share save and buy: The clothes that are filtered and validated can be saved in the app or the users mobile. The results can be shared across and the purchase can be made whenever required. The user can buy the cloth whenever required
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