Vehicle Tracking and Localization System Using ARM Processor

The effectiveness, safety, and privacy of vehicle tracking can be greatly enhanced by developing an advanced tracking system, applying strong security measures to protect vehicles and cargo, and introducing innovative practices and solutions. This study takes a broad approach that involves a detailed review of existing research, the design and implementation of a new tracking system, and systematic evaluation of its impact on transportation and logistics.
The results show that the proposed tracking system delivers precise and up-to-date information about vehicle location and performance. At the same time, the integration of security features strengthens the overall protection of vehicles and their cargo. In addition, this research highlights the current status of vehicle tracking technology, points out key limitations, and suggests improvements to push the field forward.
Overall, this work contributes to the advancement of vehicle tracking by offering practical solutions, improved data privacy, and better system compatibility, while also providing important insights into the role and effectiveness of such systems in logistics and transportation.

Raspberry Pi, Vehicle tracking, Face recognition, Security Measures, GPS, GSM.

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