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Developing A CCTV-AI System with The Capability to Accurately Detect and Recognize Individuals Who Are Wearing Helmets, Specifically Targeting Riders and Passengers. |
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| รหัสดีโอไอ | |
| Creator | Jetsada Kumphong |
| Title | Developing A CCTV-AI System with The Capability to Accurately Detect and Recognize Individuals Who Are Wearing Helmets, Specifically Targeting Riders and Passengers. |
| Contributor | Nathayu Chawapattanayoth |
| Publisher | คณะเทคโนโลยีอุตสาหกรรม มหาวิทยาลัยราชภัฏสุรินทร์ |
| Publication Year | 2567 |
| Journal Title | วารสารวิชาการเทคโนโลยีอุตสาหกรรม มหาวิทยาลัยราชภัฏสุรินทร์ |
| Journal Vol. | 9 |
| Journal No. | 2 |
| Page no. | 210-224 |
| Keyword | Motorcycle, Accident, Neural network, Technology |
| URL Website | https://ph02.tci-thaijo.org/index.php/journalindus |
| Website title | วารสารวิชาการเทคโนโลยีอุตสาหกรรม มหาวิทยาลัยราชภัฏสุรินทร์ |
| ISSN | ISSN (Online) 3027-6322; ISSN (Print) 3027-6314 |
| Abstract | Currently, Thailand is experiencing a high mortality rate due to motorcycle accidents, coupled with a low rate of helmet usage. Previous research has indicated that law enforcement measures can effectively increase helmet compliance. To address this issue, a study was conducted to create a system using artificial intelligence and CCTV technology to identify riders and passengers who are not wearing helmets. The study involved four key stages: data collection, software development utilizing Yolo V.4 library, neural network training, and accuracy assessment. Results demonstrate that the program can successfully identify non-helmet-wearing riders with a 95% accuracy rate, which is deemed suitable for implementation by law enforcement agencies. |
