Microsleep Accident Prevention for SMART Vehicle via Image Processing Integrated with Artificial Intelligent

Author:

Zaleha S H,Abdul Wahab Nur Haliza,Ithnin Norafida,Ahmad Johana,Zakaria Noor Hidayah,Okereke Chinonso,Nuraini Huda A K

Abstract

Abstract Number of accidents caused by microsleep increases rapidly each day. This is due to the current trend of life, for example high workload, long working hours, traffic jams, having too much caffeine, drinking alcohol, age factor, and many others. This microsleep can lead to major accidents, higher number of deaths, injuries, demolition of property and permanent disability. The creation of SMART Vehicles in the Internet of Things (IoT) increases the technology capabilities in transportation sectors, in addition to reduce the number of crashes on the roads. An integration with Artificial Intelligent (AI) can be a perfect combination on development of a microsleep detection and prevention. While the image processing will be used as the method of detecting the face changes from normal to microsleep symptoms on detecting the eye degree, the head motion and the mouth yawning. This work presented a review of current research that supported the integration of IoT and AI. The analysis and discussion on the best solution and method to prevent microsleep accidents was shown. Lastly, recommendation on development of real sensors for SMART Vehicles will be discussed. A preliminary result on this work also will be shown.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An In-Depth Review of Revolutionizing Traffic Control Systems Leveraging Software-Defined Networking (SDN);2024 IEEE 14th Symposium on Computer Applications & Industrial Electronics (ISCAIE);2024-05-24

2. Microsleep detection using Convolution Neural Network (CNN) in deep learning (DL) for accident prevention;AIP Conference Proceedings;2024

3. Facial Feature-Based Microsleep Detection with High Precision Using Deep Learning;2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA);2023-12-08

4. A Review of Artificial Intelligence and Machine Learning for Incident Detectors in Road Transport Systems;Mathematical and Computational Applications;2022-09-13

5. Application of IoT and Artificial Intelligence in Road Safety;2022 Interdisciplinary Research in Technology and Management (IRTM);2022-02-24

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