Personalized Tracking Robot
| dc.contributor.author | Thabainah, Raghida | |
| dc.contributor.author | Abu Allan, Zaina | |
| dc.contributor.author | Amro, Israa | |
| dc.date.accessioned | 2025-12-04T11:40:44Z | |
| dc.date.available | 2025-12-04T11:40:44Z | |
| dc.date.issued | 2024-08-01 | |
| dc.description | no fo pages 58 , هندسة حاسوب 13/2024 | |
| dc.description.abstract | The custom tracking project is important and effective in the current era, designed primarily to help in tracking its owner using advanced technologies. The system utilizes a variety of ROS servers and tools to manage data and integrate different algorithms for owner identification and tracking. The PyzBar library is used to identify the owner through a QR code, while a particle filtering algorithm is implemented for the tracking process. The Kinect camera's internal sensors are employed to maintain the owner's safety, and an ultrasonic sensor is used to detect and overcome obstacles. Ultimately, the project resulted in a robot capable of tracking the owner based on a specific QR code, with the ability to navigate around obstacles and maintain a safe distance between itself and the owner. Keywords: ROS, mobile robot, Tracking algorithm, Navigation, QR, Detection algorithm | en_US |
| dc.identifier.uri | scholar.ppu.edu/handle/123456789/9255 | |
| dc.language.iso | en | en_US |
| dc.publisher | جامعة بوليتكنك فلسطين - هندسة حاسوب | en_US |
| dc.subject | Robots | en_US |
| dc.title | Personalized Tracking Robot | en_US |
| dc.title.alternative | (PTR) | en_US |
| dc.type | Other | en_US |
