Car Accident Notification based on Mobile Cloud Computing

AL-Balushi, Ibtisam A.; Yousif, Jabar H.; Al-Shezawi, Majid O.

doi:10.24842/1611/0024

“…Annually, almost 12.5 billion dollars are the total loss cost for these types of accidents. Preventing such driver fatigue accidents is a high focus effort on many current types of research [2][3][4]. Driver fatigue increases the need to develop a monitoring system that analyses driver status and provides different alert sounds based on his facial features.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic approach for detecting drivers’ drowsiness based on image processing and Video streaming

Yousif¹

2021

Preprint

0

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<p>The driver's face is detected and extracted extra features of the eyes and mouth areas. Start the analysis process to determine the status of these parameters. Second, the Kalman filter method is used to track and manipulate the difference in the size and orientation of the captured features. The technique checks all image states such as brightness, shadows, and clarity. Third, the blur control system provides different alert sounds based on the information tracked from the face, eyes, and mouth. The proposed method uses real-time data recorded by a webcam tool in the MatlabR2016a environment. The data sample contains videos of different users of different races, whether they wear glasses, gender, and various lighting backgrounds. The proposed system achieved an accuracy of up to 94.5% in the detection driver status.</p>

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Fuzzy logic approach for detecting drivers’ drowsiness based on image processing and Video streaming

Yousif¹

2021

Preprint

0

View full text Add to dashboard Cite

<p>The driver's face is detected and extracted extra features of the eyes and mouth areas. Start the analysis process to determine the status of these parameters. Second, the Kalman filter method is used to track and manipulate the difference in the size and orientation of the captured features. The technique checks all image states such as brightness, shadows, and clarity. Third, the blur control system provides different alert sounds based on the information tracked from the face, eyes, and mouth. The proposed method uses real-time data recorded by a webcam tool in the MatlabR2016a environment. The data sample contains videos of different users of different races, whether they wear glasses, gender, and various lighting backgrounds. The proposed system achieved an accuracy of up to 94.5% in the detection driver status.</p>

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Fusion of Watermarking and Steganography for Protecting Image Ownership

Abusham

¹

,

Al-Marzouqi²,

Al-Bahri

³

et al. 2022

ACJ

1

0

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The use of digital images has become very common because of the rapid increase of the internet over time. Moving digital images over the internet is easy, but keeping ownership is complex, and serious issues have emerged. Forgery, fraud, and pirating of this content are rising. Different techniques used to protect images, like watermarking and steganography, but these methods are not enough toprotect. So, providing new techniques is essential for protecting image ownership. We have proposed a fusion method of steganography and watermarking in this work. First, the secret message is encoded within the original image using the LSB technique to obtain the stego image. Secondly, the watermarking process is applied on the stego image using text watermarking or image watermarking to provide stego-watermarked-image. The proposed fusion watermarking and steganography method is very useful for protecting image ownership over insecure communication channels. An attacker cannot get the desired watermarked image from the stego-watermarked-image without knowing the secret message hiding inside it using the LSB technique. The proposed method is efficient, simple and secure; it provides significant protection for image ownership.

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Car Accident Notification based on Mobile Cloud Computing

Cited by 3 publications

References 6 publications

Fuzzy logic approach for detecting drivers’ drowsiness based on image processing and Video streaming

Fuzzy logic approach for detecting drivers’ drowsiness based on image processing and Video streaming

Fuzzy logic approach for detecting drivers’ drowsiness based on image processing and Video streaming

Fusion of Watermarking and Steganography for Protecting Image Ownership

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