Hardware Design for IoT-Based Vehicle Tracking and Theft Detection System

Crisgar, Puji Valen; Wijaya, Patrick Ryan; Pakpahan, Marcell D. F.; Syamsuddin, Eniman Yunus; Hasanuddin, Muhammad Ogin

doi:10.1109/isesd53023.2021.9501601

Cited by 7 publications

(1 citation statement)

References 5 publications

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“…For this project, it used two components to create the vehicle tracking system, including the TTGO T-CALL ESP32 SIM 800l and the GPS module. The TTGO T-Call ESP32 SIM800L is a combination of two components, which are the ESP32 and the SIM800l module as stated by Sathyasri et al, [11] and Crisgar et al, [12]. Rathnayaka et al, [13] also mentioned that it only supports 2G nano sim cards, which might not work in countries that do not have a 2G signal.…”

Section: (I) Hardware Partmentioning

confidence: 99%

Vehicle Tracking System Based on Internet of Things Utilizing TTGO T-CALL ESP32 SIM800l

Azlina Idris,

Muhamad Nor Iman,

Siti Maisurah Sulong

et al. 2024

ARASET

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Nowadays, cases of stolen vehicles are increasing rapidly, particularly in urban areas. The stolen vehicle is difficult for the owner to trace since the GPS system is rarely used due to its expensive cost. Thus, the purpose of this research is to analyze the accuracy of the real-time monitoring provided by the Blynk application using information obtained from GPS modules and to design a simple and compact smart vehicle monitoring anti-theft system utilizing the TTGO T-CALL ESP32 SIM800l with the Blynk application. Next, a tracking system is configured and developed by utilizing the Arduino IDE software to flash the code into the microcontroller and the Internet of Things platform as the connectivity to the Blynk App. Furthermore, the usability and functionality of the Global Positioning System (GPS) and TTGO T-CALL ESP32 SIM800l are essential in determining the vehicle's location. The use of TTGO T-CALL ESP32 SIM800l is to make the device more compact than previous research. The data has been obtained using a comparison of two microcontrollers; TTGO T-Call ESP32 SIM800l and the Arduino Mega connected to the GSM SIM800l. The data will be analyzed under two different parameters; the accuracy of altitude and speed. It can be seen that the TTGO T-Call ESP32 SIM800l has a lower percentage of latitude and longitude errors. It also has great performance in terms of speed accuracy, which is 88.5%.

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Section: (I) Hardware Partmentioning

confidence: 99%