2022
DOI: 10.11591/eei.v11i3.3429
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Face detection and global positioning system on a walking aid for blind people

Abstract: Blindness is a general term used for the condition of someone who experiences a disturbance or obstacle in their sense of sight. In general, blind people walk with special canes to help them walk and increase their safety. However, there are problems that arise when blind people walk home or go from a path that they are used to or to a place where they have never traveled. There is the possibility that blind people get lost and find it difficult to determine their way home because they don't know where they ar… Show more

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Cited by 8 publications
(5 citation statements)
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“…The Haar cascades are a machine-learning object detection algorithm. This algorithm, detailed in 25 , is based on four essential steps: The selection of Haar-like features, create an integral image, the execution of the AdaBoost training, and the creation of classifier cascades. Our private dataset was created by detecting the face and tracking eye movement in student recording frames.…”
Section: Collection Of Datamentioning
confidence: 99%
“…The Haar cascades are a machine-learning object detection algorithm. This algorithm, detailed in 25 , is based on four essential steps: The selection of Haar-like features, create an integral image, the execution of the AdaBoost training, and the creation of classifier cascades. Our private dataset was created by detecting the face and tracking eye movement in student recording frames.…”
Section: Collection Of Datamentioning
confidence: 99%
“…Teknologi IoT kini sudah marak digunakan dikarenakan selain teknologi ini merupakan salah satu pilar dalam melahirkan revolusi industri 4.0 (Haryanto 2018), teknologi ini sangat membantu dalam berbagai hal terutama untuk melakukan monitoring, seperti dalam perikanan untuk membantu memonitor udang (Abdurrasyid 2020), kelautan (Xu et al 2019) hingga memonitor tunanetra (Abdurrasyid, Indrianto, and Susanti 2022;Chang et al 2020)…”
Section: Pendahuluanunclassified
“…These weak learners often take the form of simple decision trees, also known as 'decision stumps', that are only slightly better than a random guess. The key strength of AdaBoost lies in its ability to iteratively focus on the misclassified instances, ultimately developing a strong classifier even if the individual learners are weak [20].…”
Section: Adaboost Algorithmmentioning
confidence: 99%