Integrated system of face recognition and sound localization for a smart door phone

Kim, Tae‐Wan; Park, Hyungsoo; Hong, Sang Hoon; Chung, Yunmo

doi:10.1109/tce.2013.6626244

Cited by 23 publications

(8 citation statements)

References 11 publications

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“…If intelligent image recognition is performed after acquiring the streamed video via the Wi-Fi network, (18) the real-time performance may be compromised owing to problems such as the availability of bandwidth. Therefore, we adapt a terminal AI facial recognition system (19) to the self-balancing car and shift part of the AI computations from the cloud platform to the terminal, which is the micro video camera in this case, to perform recognition analysis and transfer the streamed video to the mobile application via a Wi-Fi network, so that the AI facial recognition system can be part of the edge computing field category. (20) The terminal AI facial recognition system performs deep learning computations directly on the video camera.…”

Section: Facial Recognition System and Forehead Temperature Detectionmentioning

confidence: 99%

Unmanned Mobile Multipurpose Monitoring System—iMonitor

Chang¹,

Tsai²,

Lin³

et al. 2021

Sensors and Materials

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Many available intelligent monitoring devices and applications only perform passive monitoring of the environment and notify the user when events occur, lacking the integration of viable technologies. In this work, we propose a multipurpose monitoring device that integrates cloud computing, the Internet of Things (IoT), and mobile applications to implement an unmanned mobile monitoring system for real-time monitoring and manipulation. The proposed system utilizes a self-balancing car as a stabilizing vehicle and a micro video camera that records images for AI facial tracking and recognition, combined with an infrared thermal imager to obtain forehead temperature. The recognized results are sent to a mobile device via a live video stream. The video stream can be recorded and images can be captured through a mobile application and uploaded to a cloud storage for playback and examination later. If the streamed video lacks sufficient illumination and cannot be viewed clearly, the system can be switched to infrared thermography to capture thermal images for monitoring the environment.The system can also be used as a mobile body temperature detector for the detection of abnormal body temperatures at a border control for quarantine inspections during the outbreak of contagious diseases. Furthermore, the system is equipped with four gas sensors to detect up to 12 different kinds of gaseous substances or particulate matter so that the user can be aware of the environmental quality around the self-balancing car. The outcome of this work can be applied to public health monitoring, dynamic crowd monitoring at airports and harbors, and the monitoring of hazardous or disaster-affected locations for search and rescue to reduce the costs associated with manual monitoring and the risk of exposure to hazards.This version has been created for advance publication by formatting the accepted manuscript. Some editorial changes may be made to this version.

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Section: Facial Recognition System and Forehead Temperature Detectionmentioning

confidence: 99%

Unmanned Mobile Multipurpose Monitoring System—iMonitor

Chang¹,

Tsai²,

Lin³

et al. 2021

Sensors and Materials

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“…Except for very few works like the one presented by Kim [27], the existing systems only base their use on one type of detection. Our proposal combines the use of sound and image sources to verify and estimate people's presence and distance to the user's terminal to ensure physical distance and minimize contagion by viruses transmitted by air.…”

Section: Face Detection and Recognition With Mobile Phonesmentioning

confidence: 99%

A new system to detect coronavirus social distance violation

Botella-Campos

Gacía-Navas

Rego

et al. 2021

IJECE

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In this paper, a novel solution to avoid new infections is presented. Instead of tracing users’ locations, the presence of individuals is detected by analysing the voices, and people’s faces are detected by the camera. To do this, two different Android applications were implemented. The first one uses the camera to detect people’s faces whenever the user answers or performs a phone call. Firebase Platform will be used to detect faces captured by the camera and determine its size and estimate their distance to the phone terminal. The second application uses voice biometrics to differentiate the users’ voice from unknown speakers and creates a neural network model based on 5 samples of the user’s voice. This feature will only be activated whenever the user is surfing the Internet or using other applications to prevent undesired contacts. Currently, the patient’s tracking is performed by geolocation or by using Bluetooth connection. Although face detection and voice recognition are existing methods, this paper aims to use them and integrate both in a single device. Our application cannot violate privacy since it does not save the data used to carry out the detection and does not associate this data to people.

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“…N. Komninos et al classified the main risks of interaction between entities in a smart home and smart grid environments and proposed promising security countermeasures given the specific security goals [37]. Kim et al proposed a smart system using both face recognition and sound localization techniques to identify foreign faces through a door phone [38]. K.-Y.…”

Section: Surveillance and Securitymentioning

confidence: 99%

Smart Home Communication Technologies and Applications: Wireless Protocol Assessment for Home Area Network Resources

et al. 2015

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Abstract:The paper discusses Home Area Networks (HAN) communication technologies for smart home and domestic application integration. The work is initiated by identifying the application areas that can benefit from this integration. A broad and inclusive home communication interface is analysed utilizing as a key piece a Gateway based on machine-to-machine (M2M) communications that interacts with the surrounding environment. Then, the main wireless networks are thoroughly assessed, and later, their suitability to the requirements of HAN considering the application area is analysed. Finally, a qualitative analysis is portrayed.

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Integrated system of face recognition and sound localization for a smart door phone

Cited by 23 publications

References 11 publications

Unmanned Mobile Multipurpose Monitoring System—iMonitor

Unmanned Mobile Multipurpose Monitoring System—iMonitor

A new system to detect coronavirus social distance violation

Smart Home Communication Technologies and Applications: Wireless Protocol Assessment for Home Area Network Resources

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