| 000 | 00879nam a22001937a 4500 | ||
|---|---|---|---|
| 999 |
_c47536 _d47536 |
||
| 040 | _cRiphah International University | ||
| 082 |
_a621.3 _bFAH |
||
| 100 | _aFahad Rafiq (3169) | ||
| 245 | _aDriver drowsiness detection using image processing and machine learning | ||
| 260 |
_aIslamabad _b(Unpublished) _c2022 |
||
| 300 |
_axii, 34 p. _b: ill., Col. _c; 30 cm. _e+CD |
||
| 500 | _aSubmitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering to the Faculty of Engineering and Applied Sciences | ||
| 500 | _aIncludes bibliographical references. | ||
| 500 | _aThesis supervisor: Dr. Faraz Akram | ||
| 502 | _aThesis (M.S.)--Riphah International University, 2022 | ||
| 546 | _aEnglish | ||
| 650 |
_aElectrical Engineering _vEye aspect ratio feature _vImage frames extraction _vPublic circularity feature _vFEAS |
||
| 942 | _cTH | ||