Study and design of driver drowsiness using raspberry Pi
| dc.contributor.author | Haroon Raja, Muhammad | |
| dc.date.accessioned | 2018-01-24T06:00:37Z | |
| dc.date.available | 2018-01-24T06:00:37Z | |
| dc.date.issued | 2017 | |
| dc.description | Supervised by:Muhammad Asim Butt | en_US |
| dc.description.abstract | In Pakistan, driver carelessness and errors contribute in massive number of accidents nowadays drowsy driving is one of them. A Survey (traffic) demonstrates that the driver tiredness might be a great reason by up to 20% of all road accidents. The main aim for this planned system is to decrease the number of mishaps due to driver’s Sleepiness to increase the moving safety. The projected system realized with 5-megapixel digital camera braced with rooted system board Raspberry-pi installed with Raspbian-OS, Open-CV embedded in Python, LED’s and a Buzzer to give a cautioning message. The Raspberry-pi board relates to Camera and Buzzers. This will perform some task like the alarm notification. | en_US |
| dc.identifier.uri | https://escholar.umt.edu.pk/handle/123456789/2564 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of Management and Technology | en_US |
| dc.subject | Raspberry pi | en_US |
| dc.subject | Eye tracing | en_US |
| dc.subject | Yawning | en_US |
| dc.subject | BS thesis | en_US |
| dc.title | Study and design of driver drowsiness using raspberry Pi | en_US |
| dc.type | Thesis | en_US |
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