Data analytics for device identification

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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.