The “Vehicle Recognition for Toll Collection” project aims to create a comprehensive dataset of video clips capturing various vehicles passing through toll collection points. This dataset will be instrumental in training machine learning models for efficient and accurate toll collection systems.
Our project’s scope includes collecting video footage from toll booths, bridges, and highway entrances, and annotating instances of vehicles for toll collection purposes.
Annotation Verification: Implement a validation process involving experts to review and verify the accuracy of vehicle annotations and license plate recognition.
Privacy Compliance: Ensure compliance with privacy regulations and data protection policies. Anonymize any personally identifiable information, such as driver faces, in the video clips.
Data Security: Implement robust data security measures to protect sensitive information and maintain the integrity of the dataset.
The “Vehicle Recognition for Toll Collection” dataset serves as a crucial resource for the development of efficient and accurate toll collection systems. With diverse video clips, precise vehicle annotations, and strict privacy and security compliance, it provides a solid foundation for building advanced toll collection and traffic management solutions that can enhance transportation infrastructure and streamline toll-related operations.
To get a detailed estimation of requirements please reach us.