Smart Door Locking System Using IoT

Gupta, Ketan; Jiwani, Nasmin; Sharif, Md Haris Uddin; Mohammed, Mehmood Ali; Afreen, Neda

doi:10.1109/icaccm56405.2022.10009534

Cited by 7 publications

(3 citation statements)

References 21 publications

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“…The input funnel will be fitted with a disposable mouthpiece to ensure precise measurements. The module comprises the Arduino Pro Mini and D1 Mini ESP32 microcontroller circuits internally [24]. The device also includes the flow turbine sensor for measuring lung function, the MAX30102 sensor for measuring SPO2 and BPM, a Buzzer circuit for indicating, and a battery circuit for power supply.…”

Section: Resultsmentioning

confidence: 99%

Design and Development of an IoT-based Pulmonary Function and Oxygen Saturation Measurement Device

Lutfiyah,

Yuwana,

Ariswati

2024

Indones.J.electronic.electromed.med.inf

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Health information technology plays a crucial role in managing the healthcare of patients and their families during illness. One of the frequently encountered diseases is Asthma, a chronic inflammatory disorder of the respiratory tract that is reversible and fluctuating, capable of causing exacerbations with mild to severe symptoms and even death. The objective of this research is to develop a device to facilitate the monitoring and input of data regarding pulmonary volume measurements (spirometry) and biosignals (SpO2). The sensors used for measuring pulmonary volume are the flow turbine sensor, while the SpO2 sensor used is the MAX30102. The data obtained from the sensor measurements will be processed on the ESP32. A health monitoring application is created using Kodular software, which incorporates a MySQL database for data storage. Furthermore, the examination results can be accessed through an Android application on a tablet or smartphone. The results obtained from this research indicate an error value of 8.78% for FVC, 14% for FEV1, and a FEV1/FVC ratio of 4.6%, with zero data loss. It is expected that the spirometer with Internet of Things (IoT) capabilities will be implemented, as monitoring can be easily conducted anywhere. The portable design will facilitate future examinations.

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Section: Resultsmentioning

confidence: 99%

Design and Development of an IoT-based Pulmonary Function and Oxygen Saturation Measurement Device

Lutfiyah,

Yuwana,

Ariswati

2024

Indones.J.electronic.electromed.med.inf

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“…According to T. H. Iwan, H. M. Fahrezy, et al [10], Microsoft servers incorporate the Face Recognition System using Eigenface face detection method. Aneesa Tankasali et al [11] demonstrated an IoT-based smart home lighting system with facial recognition. Ushie James et al [12] suggested using ESP32 CAM instead of Pi Cam for image capture.…”

Section: A Existing Approachesmentioning

confidence: 99%

“…Aneesa Tankasali et all. in their work [11] used a Raspberry Pi camera instead of a normal Webcam. However, using Raspberry Pi leads to several problems and can be overcome by using a normal Webcam.…”

Section: Comparison With Some Of the Existing Techniquesmentioning

confidence: 99%

Smart Recognition and Authentication based on Haar Cascade Classifier and Visual Cryptography

Bose,

Arjariya,

Goswami

2024

IJC

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The algorithm with an E-verification method is proposed that combines automated facial recognition technology with digital media and later it combines aspects of secret data exchange and visual cryptography. A face detection technique based on Internet of Things (IoT) selects features using the Principal Component Analysis (PCA) algorithm and the Haar cascade classifier. The selected face serving as a cover follows two level Discrete Haar Wavelet Transform. The shares generated from digital signature and fingerprint are diffused into the converted coefficients. Furthermore, the imperceptibility of the additional noise is increased by a bit-level noise reduction technique. Authenticity is confirmed by regenerating a message digest at the receiving end, and the extraction process operates in complete blindness. The approach is suitable for smart card design and may be used as an automatic recognition system in a real-world setting. Performance comparisons show a notable improvement over other approaches that are comparable. Additionally, the technique is effective against some related attacks.

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