Majeed, AsimBaadel, Said2020-02-232020-02-2320162016Majeed, A., & Baadel, S. (2016). Facial recognition cane for the visually impaired. Communications in Computer and Information Science (Vol. 630). https://doi.org/10.1007/978-3-319-51064-4_32978331951063718650929http://dx.doi.org/10.1007/978-3-319-51064-4_32http://hdl.handle.net/20.500.12519/146This article is not available at CUD collection. The version of scholarly record of this Article is published in Communications in Computer and Information Science (2016), available online at: https://doi.org/10.1007/978-3-319-51064-4_32.The modern era is accompanied by various traditional mobility aids which help visually impaired to stay independent and enabling them detecting the objects and scanning surroundings. The use of haptic touch, as well as ultrasound, is embedded in today’s smart canes which detect obstacles up to 3 m distance, GPS navigation, informs the user through Bluetooth and earpiece, and guide the visually impaired to direct from one location to another. The evolution of this technology has motivated the integration of inexpensive camera technology within the cane for facial recognition purposes. The concept of developing this intelligent smart cane which would detect obstacles from up to 10 m as well as recognises friends and family faces, was envisioned by students at Birmingham City University. The developments in this product and adopted technologies guide a visually impaired user to detect obstacles and to find an alternative route while at the same time try to recognize any family or friends within the vicinity. These have been reflected in this research paper along with the limitations and wider issues which may come up when adopting the high-tech advances. © Springer International Publishing AG 2016.enPermission to reuse the abstract has been secured from Springer Verlag.Permission to reuse the abstract has been secured from Springer Verlag.Object detectionSustainable developmentUltrasonic applicationsAdopted technologyAlternative routesCamera technologyFacial recognitionVisually impairedVisually-impaired userXploRFace recognitionConference PaperCopyright : 2016 Springer International Publishing AG