Years Active: 2025
Title: Innovations by Raciel Leiva in Smart Tolling Systems
Introduction
Raciel Leiva is an innovative inventor based in Miami, FL (US). He has made significant contributions to the field of smart tolling systems, holding 2 patents that showcase his expertise in computer vision and machine learning.
Latest Patents
One of Raciel Leiva's latest patents is a smart tolling system that employs advanced computer vision and machine learning techniques. This system automatically tracks and monitors vehicles across multiple video streams captured by a networked camera assembly. It derives comprehensive vehicle trajectories by stitching together detections of each vehicle from various video feeds using multi-object tracking algorithms. These trajectories enable the correlation of different events triggered by vehicles at multiple roadside devices, such as cameras and radars. By mapping the trajectories in space and time, the system can associate seemingly fragmented events and synthesize complete vehicle profiles. This is particularly useful when certain events may have missed capturing some vehicle information due to obstructions or other factors. The trajectory-based event correlation enhances tolling accuracy by minimizing revenue leakage from missed or incomplete vehicle data in congested traffic conditions.
Career Highlights
Raciel Leiva's work in developing smart tolling systems has positioned him as a notable figure in the field of transportation technology. His innovative approach to vehicle tracking and monitoring has the potential to revolutionize how tolling systems operate, making them more efficient and reliable.
Collaborations
Raciel has collaborated with talented individuals such as Daniel Ignacio Halley and Ignacio Halley. Their combined expertise has contributed to the successful development of advanced technologies in the tolling sector.
Conclusion
Raciel Leiva's contributions to smart tolling systems demonstrate his commitment to innovation and technology. His work not only enhances tolling accuracy but also paves the way for future advancements in transportation systems.