Fleet management systems are complex systems in charge of several activities such as: vehicle telematics (tracking and diagnostics), driver, speed and fuel management, route optimization, cargo tracking, preventive maintenance, among others. The introduction of Artificial Intelligence and Machine Learning (ML) ensures that mechanics, drivers and logistic managers make better decisions.
NXP's processors with real-time networking, sensors, NFC and RFID tracking applications, secure element and ML development platforms such as eIQ, make the right ecosystem to create an efficient fleet management system.
RAIN RFID provides worldwide robust electronic vehicle identification for various applications including vehicle licensing, tolling and congestion management, vehicle access control, parking, fleet management, fuel management and car-wash loyalty programs.
In this whitepaper NXP examines how the shift of high performance processing from the cloud to the edge of networks has enabled the Internet of Things (IoT) to thrive, and how this paradigm shift has laid the foundations for AI to unfold its true potential.