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DROWTECT – VIBRATING CHAIR AND SPRAY NOZZLE TO PREVENT SLEEPINESS IN CAR DRIVERS BASED ON IMAGE PROCESSING WITH DROWSINESS DETECTION ALGORITHM

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Based on data from the police of the Republic of Indonesia from 2014 to 2018 there was a significant increase in the number of motorized vehicles, namely 6.49% per year (Indonesian Central Statistics Agency, 2018: 22). This increase in the number of vehicles occurs in all types of vehicles every year according to police data, in Indonesia an average of 3 people die every hour due to traffic accidents. The data also states that the large number of accidents is caused by several factors, including 61% caused by humans related to the driver's character, 9% due to vehicle technical requirements, and 30% caused by infrastructure and the environment (Kominfo, 2017). Based on these data, many traffic accidents occur because of the character of the driver, such as not focusing and traveling. According to Rau et al (2005) in the United States about 100,000 accidents per year (1.6% of 6.3 million) are identified in the Police Crash Report (PCR) due to problematic drivers. accidents experienced by drivers in circumstances have general characteristics that are usually observed by traffic safety officers including, during the late hours of the night (2:00 to 6:00) or after the day (3:00 to 17:00) ) , driving on highways or toll roads, only young drivers, not using brakes, one person in the car, lack of security at the accident site, the level of drivers exceeding the limit for safe driving (Kamran, et al. 2019). Driver's drowsiness is a major factor in road accidents (Kumar, et al. 2018). Drowsiness while driving is very dangerous because it can cause an accident that can be found in death. Death due to traffic accidents caused by drivers is an event that can be avoided and minimized. To reduce the number of traffic accidents and their impacts, it is necessary to have a role from all parties. Based on this, the purpose of our research is to create a detection device system using image processing that is used to detect the eyes of the car driver, if the driver detects the data from the image processing will communicate and to a tool called a nozzle, then the nozzle will issue The air sprays into the driver's face slowly and in the driver's seat is also installed a dc motor that can cause a low level of shock to the driver, so that the driver can regain consciousness and focus on the traffic.   Keywords: Image Processing, Nozzle, Accident, Driver, Image Processing, Nozzle  
Title: DROWTECT – VIBRATING CHAIR AND SPRAY NOZZLE TO PREVENT SLEEPINESS IN CAR DRIVERS BASED ON IMAGE PROCESSING WITH DROWSINESS DETECTION ALGORITHM
Description:
Based on data from the police of the Republic of Indonesia from 2014 to 2018 there was a significant increase in the number of motorized vehicles, namely 6.
49% per year (Indonesian Central Statistics Agency, 2018: 22).
This increase in the number of vehicles occurs in all types of vehicles every year according to police data, in Indonesia an average of 3 people die every hour due to traffic accidents.
The data also states that the large number of accidents is caused by several factors, including 61% caused by humans related to the driver's character, 9% due to vehicle technical requirements, and 30% caused by infrastructure and the environment (Kominfo, 2017).
Based on these data, many traffic accidents occur because of the character of the driver, such as not focusing and traveling.
According to Rau et al (2005) in the United States about 100,000 accidents per year (1.
6% of 6.
3 million) are identified in the Police Crash Report (PCR) due to problematic drivers.
accidents experienced by drivers in circumstances have general characteristics that are usually observed by traffic safety officers including, during the late hours of the night (2:00 to 6:00) or after the day (3:00 to 17:00) ) , driving on highways or toll roads, only young drivers, not using brakes, one person in the car, lack of security at the accident site, the level of drivers exceeding the limit for safe driving (Kamran, et al.
2019).
Driver's drowsiness is a major factor in road accidents (Kumar, et al.
2018).
Drowsiness while driving is very dangerous because it can cause an accident that can be found in death.
Death due to traffic accidents caused by drivers is an event that can be avoided and minimized.
To reduce the number of traffic accidents and their impacts, it is necessary to have a role from all parties.
Based on this, the purpose of our research is to create a detection device system using image processing that is used to detect the eyes of the car driver, if the driver detects the data from the image processing will communicate and to a tool called a nozzle, then the nozzle will issue The air sprays into the driver's face slowly and in the driver's seat is also installed a dc motor that can cause a low level of shock to the driver, so that the driver can regain consciousness and focus on the traffic.
  Keywords: Image Processing, Nozzle, Accident, Driver, Image Processing, Nozzle  .

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