21 July 2017 Indoor navigation by image recognition
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Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104200H (2017) https://doi.org/10.1117/12.2281569
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
With the progress of smartphones hardware, it is simple on smartphone using image recognition technique such as face detection. In addition, indoor navigation system development is much slower than outdoor navigation system. Hence, this research proves a usage of image recognition technique for navigation in indoor environment. In this paper, we introduced an indoor navigation application that uses the indoor environment features to locate user’s location and a route calculating algorithm to generate an appropriate path for user. The application is implemented on Android smartphone rather than iPhone. Yet, the application design can also be applied on iOS because the design is implemented without using special features only for Android. We found that digital navigation system provides better and clearer location information than paper map. Also, the indoor environment is ideal for Image recognition processing. Hence, the results motivate us to design an indoor navigation system using image recognition.
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Io Teng Choi, Io Teng Choi, Chi Chong Leong, Chi Chong Leong, Ka Wo Hong, Ka Wo Hong, Chi-Man Pun, Chi-Man Pun, } "Indoor navigation by image recognition", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104200H (21 July 2017); doi: 10.1117/12.2281569; https://doi.org/10.1117/12.2281569

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