Microsleep accident prevention for SMART vehicle via image processing integrated with artificial intelligent
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 num...
| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/96094/1/NurHaliza2021_MicrosleepAccidentPreventionforSMARTVehicle.pdf |
| _version_ | 1796866153188950016 |
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| author | S. H., Zaleha Abdul Wahab, Nur Haliza Ithnin, Norafida Ahmad, Johana Zakaria, Noor Hidayah Okereke, Chinonso A. K., Nuraini Huda |
| author_facet | S. H., Zaleha Abdul Wahab, Nur Haliza Ithnin, Norafida Ahmad, Johana Zakaria, Noor Hidayah Okereke, Chinonso A. K., Nuraini Huda |
| author_sort | S. H., Zaleha |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T21:07:55Z |
| format | Conference or Workshop Item |
| id | utm.eprints-96094 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T21:07:55Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | utm.eprints-960942022-07-03T08:02:05Z http://eprints.utm.my/96094/ Microsleep accident prevention for SMART vehicle via image processing integrated with artificial intelligent S. H., Zaleha Abdul Wahab, Nur Haliza Ithnin, Norafida Ahmad, Johana Zakaria, Noor Hidayah Okereke, Chinonso A. K., Nuraini Huda QA75 Electronic computers. Computer science 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. 2021 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/96094/1/NurHaliza2021_MicrosleepAccidentPreventionforSMARTVehicle.pdf S. H., Zaleha and Abdul Wahab, Nur Haliza and Ithnin, Norafida and Ahmad, Johana and Zakaria, Noor Hidayah and Okereke, Chinonso and A. K., Nuraini Huda (2021) Microsleep accident prevention for SMART vehicle via image processing integrated with artificial intelligent. In: 1st International Conference on Material Processing and Technology, ICMProTech 2021, 14 - 15 July 2021, Perlis, Virtual. http://dx.doi.org/10.1088/1742-6596/2129/1/012082 |
| spellingShingle | QA75 Electronic computers. Computer science S. H., Zaleha Abdul Wahab, Nur Haliza Ithnin, Norafida Ahmad, Johana Zakaria, Noor Hidayah Okereke, Chinonso A. K., Nuraini Huda Microsleep accident prevention for SMART vehicle via image processing integrated with artificial intelligent |
| title | Microsleep accident prevention for SMART vehicle via image processing integrated with artificial intelligent |
| title_full | Microsleep accident prevention for SMART vehicle via image processing integrated with artificial intelligent |
| title_fullStr | Microsleep accident prevention for SMART vehicle via image processing integrated with artificial intelligent |
| title_full_unstemmed | Microsleep accident prevention for SMART vehicle via image processing integrated with artificial intelligent |
| title_short | Microsleep accident prevention for SMART vehicle via image processing integrated with artificial intelligent |
| title_sort | microsleep accident prevention for smart vehicle via image processing integrated with artificial intelligent |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/96094/1/NurHaliza2021_MicrosleepAccidentPreventionforSMARTVehicle.pdf |
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