Area Recognition System using Raspberry Pi and Cloud Platform

• Main Authors: Hong, Siang-Iou, 洪祥祐
• Other Authors: Tsai, Hua-Wen
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/36ugt6

碩士 === 龍華科技大學 === 電機工程系碩士班 === 106 === The Raspberry Pi is a credit card-sized, single-disc computer that was originally designed for education. Its purpose was to create a low-cost but highly efficient computing computer whose operating system was designed using Linux. This article uses a webcam combined with a Raspberry Pi single-disc computer to construct an area monitoring and object recognition system. First, our camera receives the picture, and when it detects a picture change, it captures the picture and uploads it to our cloud platform for object recognition. The process of object recognition is a dataset that is first integrated using several pictures. We use the learning neural network established by Google's machine learning framework to train, label, and classify our data, and train it as a predictive model. Finally, the predictive model is used to detect images. deployment pattern, it is can reduce the variation of the node, and Reduce spending costs.