DEVELOPMENT OF A FACE-TRACKING ROBOT FOR SAFE DRIVING APPLICATIONS
- Authors
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Arowolo, M.O
Federal University Oye-Ekiti, Nigeria
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Abraham, I.O
Federal University Oye-Ekiti, Nigeria
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Olukoya, O.L
Federal University Oye-Ekiti, Nigeria
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Olujoyinbo, E.D
Federal University Oye-Ekiti, Nigeria
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Ade-Omowaye, J.A
Federal University Oye-Ekiti, Nigeria
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- Keywords:
- Face-tracking, driving application, accident prevention, safe
- Abstract
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This research presents the design and implementation of a face-tracking robot specifically tailored for enhancing safety in driving applications. In an era characterized by the rising demand for advanced driver assistance systems (ADAS) and autonomous vehicles, the integration of facial recognition technology, particularly utilizing the Haar Cascade algorithm, represents a significant leap in road safety and driver convenience. Leveraging the Haar Cascade algorithm in computer vision, a sophisticated algorithm was crafted that processes live video feeds from an in-car camera, accurately identifies the driver's face, and continuously tracks it within the frame. This system provided critical insights into the driver's state, enabling early detection of signs of distraction. It was programmed in such a way that the buzzer beeps to alert the driver to regain focus when distracted and if there is no change after alerting the driver for a certain period it can automatically slow down the engine to prevent accidents. The software development process of this system was carried out by integrating the Haar Cascade algorithm for facial recognition and tracking. The system’s performance was evaluated using a confusion matrix, yielding an impressive accuracy of 95%. This showcases the model’s robustness in distinguishing between a Face and a Non-Face. In conclusion, the haar cascade model demonstrates high performance and accuracy in identifying a face and a non-face. The evaluation method used proves suitable for testing the model and the performance of the model makes it well suitable for low-end devices, ensuring smooth functionality without disruption, and hence it is recommended for practical deployment In conclusion, this study marks a pivotal stride toward safer driving experiences by showcasing the design and successful integration of a face-tracking robot employing the Haar Cascade algorithm.
- Author Biographies
- References
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- Published
- 2023-11-30
- Section
- Articles
- License
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