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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2510.12205 |
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| _version_ | 1866917011675676672 |
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| author | Ghosh, Himel Chatterjee, Sayak Ganguly, Antik Karmakar, Shreetama Sarkar, Koushik |
| author_facet | Ghosh, Himel Chatterjee, Sayak Ganguly, Antik Karmakar, Shreetama Sarkar, Koushik |
| contents | The most startling of the contemporary problems is the sleepiness of chauffeur which causes lots of car accidents. Prevention of those impending accidents by detecting and alerting the sleepy chauffeur is vital, otherwise that would lead to loss of lives and various traumas along with severe injuries. The slumber or sleep may be caused by huge stress, pressure, relentless work load or alcoholism, for which sleep deprivation occurs and the chauffeur while driving gets drowsy. So far, considerable amount of systems has been developed to detect drowsiness of drivers, most of which mainly depend on image processing algorithms using cameras. Some of them also incorporate artificial intelligence and machine learning based algorithms. This paper presents a review of the existing systems and also proposes an easy and cheap system using sensors and Arduino, capable of detecting sleepiness and generates siren alarm and send alert message to take precautionary measures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_12205 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Sleepy Chauffeur Detection and Alert Techniques for Road Safety Ghosh, Himel Chatterjee, Sayak Ganguly, Antik Karmakar, Shreetama Sarkar, Koushik Systems and Control The most startling of the contemporary problems is the sleepiness of chauffeur which causes lots of car accidents. Prevention of those impending accidents by detecting and alerting the sleepy chauffeur is vital, otherwise that would lead to loss of lives and various traumas along with severe injuries. The slumber or sleep may be caused by huge stress, pressure, relentless work load or alcoholism, for which sleep deprivation occurs and the chauffeur while driving gets drowsy. So far, considerable amount of systems has been developed to detect drowsiness of drivers, most of which mainly depend on image processing algorithms using cameras. Some of them also incorporate artificial intelligence and machine learning based algorithms. This paper presents a review of the existing systems and also proposes an easy and cheap system using sensors and Arduino, capable of detecting sleepiness and generates siren alarm and send alert message to take precautionary measures. |
| title | Sleepy Chauffeur Detection and Alert Techniques for Road Safety |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2510.12205 |