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公开(公告)号:US20230144574A1
公开(公告)日:2023-05-11
申请号:US18054329
申请日:2022-11-10
发明人: Mattias Nilsson , Laura Kvarnstrand
摘要: A method for calibrating one or more optical sensors on a sewing machine, including collecting data of one or more features of one or more predefined regions associated with the sewing machine, processing the data through one or more neural networks, wherein the one or more neural networks detect and recognize the one or more features of the one or more predetermined regions from the data, calculating one or more accuracy indicators of the one or more features from the data as compared to one or more trained features from the one or more neural networks, comparing the value of the one or more accuracy indicators to one or more indicator thresholds and adjusting one or more parameters of one or more optical sensors based on the comparison between the one or more accuracy indicators and the one or more indicator thresholds.
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公开(公告)号:US20220335856A1
公开(公告)日:2022-10-20
申请号:US17720594
申请日:2022-04-14
发明人: Laura Kvarnstrand
摘要: Systems and methods for interactive guidance of sewing activities are described herein. Many sewing activities such as threading media, conducting general machine maintenance, and sewing using a pattern can be difficult and may require multiple steps to be performed correctly. Through the use of augmented reality (AR), the technologies disclosed herein provide interactive guidance to a user in order to perform one or more sewing activities. The performance of these activities is further enhanced using sensor feedback which can reduce common errors associated with each activity.
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