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Design and Implementation for Human Face Detection with Surveillance Camera |
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| รหัสดีโอไอ | |
| Creator | Thitiphan Anakkawet |
| Title | Design and Implementation for Human Face Detection with Surveillance Camera |
| Contributor | Waris Rattananimit |
| Publisher | Siam Technology College,Bangkok,Thailand |
| Publication Year | 2562 |
| Journal Title | Journal of Technology and Innovation in Tertiary Education |
| Journal Vol. | 2 |
| Journal No. | 2 |
| Page no. | 57 |
| Keyword | Design and implementation, face detection, image processing, Raspberry pi, surveillance camera |
| URL Website | http://jti.siamtechno.ac.th |
| Website title | Journal of Technology and Innovation in Tertiary Education |
| ISSN | 2630-0540 |
| Abstract | act Current security systems using surveillance cameras are needed nowadays for safety and accuracy of data under investigation. Surveillance cameras in some areas are with very limited functions. On the devices, a wi-fi module is mounted and interfaced with a Raspberry Pi. Raspberry Pi receives signals from a wi-fi module and decodes the signals in the Raspberry Pi for video transmission. Face detection is a python program running in Raspberry pi with Open CV libraries capturing and locally storing images in real time from USB cameras to match a face pattern in the detecting frame. If any intruder enters the area, the program will capture the image of the person and checks with his images already stored on the Cloud. The study reports the subjects in 4 groups and 9 different face detections being tested. The test involved sending a total of 50 times shot commands and 89.72% shots were detected correctly. The accuracy of recognition can be affected by such noises as image, light, and the blurring. These factors need to be examined in further studies. |
