Development of Face Recognition Module for a “Smart Home” System Using a Remote Server

Kazarian, Artem; Teslyuk, Vasyl; Tsmots, Ivan

doi:10.1109/stc-csit.2018.8526642

Cited by 1 publication

(3 citation statements)

References 6 publications

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“…A motion-detecting sensor is used to identify the object if there is any change in the position of the object relative to its surroundings. When the motion of any object is detected by the motion sensor, then it immediately activates the face detection system [2]. The Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) [3] are used to detect faces.…”

Section: Related Workmentioning

confidence: 99%

“…Facial recognition can be used to produce security systems for our homes, which would be quite convenient. When it is installed in our house, we can store our family face prints in that particular database, and when we try to unlock the door, it first scans the face, then converts that digital image into a face print and tries to match it with the face prints available in its database [1][2][3][4]. If it finds the match, then it will either open the door or else it will send an alert to the family members through registered phone numbers.…”

Section: Introductionmentioning

confidence: 99%

“…Then it tries to process the image by identifying the facial features like the depth of eye sockets, the distance from forehead to chin, the distance between eyes, the shape of your cheekbones, the contour of the lips, ears, and chin. Mathematical models are used to turn this information into digital form, and the system finds any intruders by checking the stored database [1,2,18,19].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Face Detection System for Smart Security Application

Vendra

Dasari

Vydehi

et al. 2023

Advances in Transdisciplinary Engineering

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Face detection and recognition can be applied to numerous fields, and it is primarily used for improving security. For security purposes, facial recognition is considered to be the most reliable and accurate technology for identifying a person. Improvements in security systems can be made through this technology without causing any inconvenience. This article discusses several systems, such as smart home security systems, autonomous face detection systems, automotive security-based systems, face detection for surveillance applications, and multi-face recognition systems. Various detection mechanisms include such as Local Binary Pattern Histogram (LBPH), Support Vector Machine (SVM), AdaBoost learning algorithm, Haar Classifier Algorithm, and Principal component Analysis (PCA). A detailed study is carried out with these advanced techniques and their advantages, disadvantages and accuracies are compared and contrasted. According to the investigations, the Haar classifier appears to be superior to other techniques due to its accuracy and features.

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Section: Related Workmentioning

confidence: 99%