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| Faza and his team presentating their Drowsiness Detection Prototype (Photo : Special) |
Accordingto the Deputy Chairman of Keselamatan Trasportasi Indonesia (MTI), in 22023,there were 116,000 cases of traffic accidents in Indonesia. Compared to 2022, the number of accidents tends to increase by 6.8 percent. Among the cases, the highest number of accidents were reported by motorcyclists and private cars. This occurs due to driver negligence, fatigue, and drowsiness.
By looking at this data trend, Faza Ega Agista and his team from Industrial Engineering at the University of Muhammadiyah Malang (UMM) developed a drowsiness detection device. The device, named Drowsiness Detection, has a sensor to detect the user's facial movements when they feel sleepy. This tool is still in the development stage and is still a prototype.
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Faza explained that his prototype can anticipate drivers when they are tired. He said that the device has face recognition, which will detect the driver's movement if they are sleepy. "For now, our product is still an external camera paired with a computer program. For the program itself, we use Python programming," said Faza.
Uniquely, Faza and his team created the program independently. Based on the tutorial on the internet, he and his team created a program that can run well. The program contains a database of drowsy facial conditions. Therefore, if the driver closes his eyes for five to ten seconds, the sensor will automatically detect and process the data and turn it into an alarm sound. Not only that, Faza and his team also added a heart rate sensor linked to the bracelet.
"However, the heart rate sensor itself is still on trial and error for now. We need to improve and develop this device," he added.
The main target of this tool will be travel agents who have high driving hours or public motorists. It is expected to anticipate accidents due to fatigue on the trip. Moreover, for travel drivers who take long trips, it is easy to feel tired.
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Later, Faza and his team will improve the prototype so it can be applied to the general public. The improvements will be the installation of cameras and programs on the vehicle so it does not require a program through a laptop. In addition, he will also improve the heart rate sensor and add an automatic braking feature if the driver is detected to be drowsy.
Therefore, he hopes that the prototype he made can be developed by cooperating with a company to be implemented directly. "We hope to be able to work with a vehicle company in order to implement our drowsiness detection directly on vehicles and be utilized by the public," he said. (tri/wil/put)
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