Data analytics for device identification

本研究项目旨在探索认证防护器具在应用过程中的自动识别 在没有对保护装置或电子设备进行任何物理修改的情况下的便携式电子设备 设备。这分为两个研究目标：1)保护装置识别，即确定一个 未知保护装置的身份，以及，2)保护装置认证(又名，验证)，其中 用户声称在电子设备上应用了具有一定身份的防护设备。焦点 我们在本申请中提出的建议中的工作的特点在于它侧重于认识到 便携式电子设备上的经认证的保护装置，并且主要是针对 保护装置的改装。与现有技术相比，这是非常有利的 全面：不仅限于那些接受改变其产品的防护用品制造商 生产线是我们对防护用品的认可目标。此外，它还节省了保护工作的时间和精力 器械生产。该项目将受益于应用机器学习领域的技术，以 便携式电子产品认证保护器的感官信号提取与分类 设备。

This research project intends to explore automatic recognition of certified protective apparatus while applied on a portable electronic device without any physical modification on neither protective apparatus nor electronic device. This falls into two research objectives: 1) Protective apparatus identification, i.e. to determine an unknown protective apparatus's identity, and, 2) Protective apparatus authentication (aka, verification) where the user claims that a protective apparatus with a certain identity is applied on the electronic device. The focus of our work in the proposal put forth in this application distinguishes itself as it focuses on the recognition of the certified protective apparatus on the portable electronic device and is primarily geared towards no modification to the protective apparatus. This is extremely advantageous compared to the prior arts as it is comprehensive: it is not limited to those protective apparatus manufacturers that accept to alter their production lines for our protective apparatus recognition goal. Further, it saves time and effort in protective apparatus production. The project will benefit from techniques in the applied machine learning domain to extract sensory signals and perform classification on the certified protective apparatus of portable electronic devices.