Prototype of New Efficient System to Extremely Reduce Banks Losses

Due to increasing the number of vehicles loans defaulters, the banks subsequently experience more financial risks. Where each day of delay in paying installments they incur massive losses. Although there are several research works have been conducted in this field, the financial banks' concerns have not been addressed thoroughly. Therefore, in this paper we propose the Improved Vehicular Tracking System (IVTS) in order to provide an optimal solution in terms of efficiency, accuracy and reducing banks losses compared with the research works found in the literature. A prototype system based on the proposed design is successfully implemented and tested using Radio Frequency Identification (RFID) and website application.

434 MHz Environmentally Safe Monitoring Schema for Vehicular Network by AI-ML-IoT Technologies

Connected vehicular tracking schema operated in environmentally safe radio frequency of 434 MHz, artificial intelligence, and machine learning and IoT technology (CVT-AIML-IoT) is cost effective and secured tracking or device monitoring system. The prime benefit of the proposed CVT-AIML-IoT system is that it utilizes cloud internet of things (IoT) technology and active radio frequency identification over global positioning system (GPS), which is prone to attackers due to self-defenseless network architecture. The sliding side of GPS is observed; when the GPS module is switched-off, it can be hidden without any authorization. Hence, an uninterrupted observing secured system like CVT-AIML-IoT is a promising solution with dynamic vehicular PIN generation by AI-ML concept. CVT-AIML-IoT grids the traceable area based on the topographical dependency. Detection range gateway coupled with IoT transceiver module captures data from each tracking zone to the cloud for monitoring over Web UI support and mapped with time stamp. Hence, CVT-AIML-IoT assures vehicular monitoring in a lucrative approach.