| _version_ | 1866902059781980160 |
|---|---|
| author | Shivalasya Chinthala Dr. Srinivas Bachu |
| author_facet | Shivalasya Chinthala Dr. Srinivas Bachu |
| contents | <p>The driver and road safety system makes use of this suggested method. The driver's face is identified from a color video taken inside a vehicle using computer vision algorithms. The areas of the driver's eyes are then located using face recognition, and these areas serve as templates for eye tracking in later frames. Images from the monitored eye are used to detect tiredness and provide warning alerts. Face, eye, and sleepiness detection are the three stages of the suggested method. In order to identify tiredness, image processing first recognizes the driver's face before extracting an image of the driver's eyes. The Haar face identification technique uses the image's collected frames as input and the identified face as output. This strategy is a low-cost and efficient way to promote transportation safety by lowering the frequency of incidents caused by sleepy drivers.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16901956 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | DESIGN AND DEVELOPMENT OF INTELLIGENT EYE BLINK MONITORING SYSTEM Shivalasya Chinthala Dr. Srinivas Bachu <p>The driver and road safety system makes use of this suggested method. The driver's face is identified from a color video taken inside a vehicle using computer vision algorithms. The areas of the driver's eyes are then located using face recognition, and these areas serve as templates for eye tracking in later frames. Images from the monitored eye are used to detect tiredness and provide warning alerts. Face, eye, and sleepiness detection are the three stages of the suggested method. In order to identify tiredness, image processing first recognizes the driver's face before extracting an image of the driver's eyes. The Haar face identification technique uses the image's collected frames as input and the identified face as output. This strategy is a low-cost and efficient way to promote transportation safety by lowering the frequency of incidents caused by sleepy drivers.</p> |
| title | DESIGN AND DEVELOPMENT OF INTELLIGENT EYE BLINK MONITORING SYSTEM |
| url | https://doi.org/10.5281/zenodo.16901956 |