IoT based real-time pothole detection system

Sreedharan, Yeshvin Nair (2024) IoT based real-time pothole detection system. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Potholes are a serious threat to everyday road vehicles as they may impact road safety, vehicle damage, and overall driving experience. However, the existing pothole detection technology, primarily relying on manual inspections by trained inspectors, suffers from significant issues that limit its efficiency. This report aims to address these limitations by proposing a more efficient way to detect potholes through the integration of sensors and IoT connectivity. The problem with the current manual inspection method is that it is time consuming and requires a considerable number of human resources. The process of inspecting extensive road networks becomes inefficient, resulting in delays in locating and filling potholes. This not only poses a danger to road users but also hampers the overall road maintenance efforts. Another issue with the current approach is the subjectivity involved in detecting and prioritizing pothole repairs. The human judgment of inspectors may vary, leading to discrepancies in the identification and classification of potholes. This subjectivity impairs the system's precision and dependability, further delaying required repairs and jeopardizing road safety. Furthermore, the accuracy of the current pothole detection system is limited. To overcome these challenges, a pothole detection system with IoT-based connectivity is proposed. The system utilizes an accelerometer sensor to measure the severity of potholes in an area. The collected data is then transmitted to a microcontroller, which integrates with a GPS Module to mark the location of detected potholes accurately. The methodology involves four main steps: data acquisition, pre-processing of data, feature extraction and integration, and data transmission. The system leverages the capabilities of the NodeMCU ESP32 board, supported by the Arduino IDE for coding and Proteus for circuit design and simulation. The flutter Application, an IoT platform, serves as the interface for real-time data visualization and user interaction. Results of the functionality test focused on verifying the successful integration of the IoT connection and data transmission. This confirmed the functional IoT connection and showcased the potential of the proposed system. In conclusion, this research presents a promising approach to pothole detection by leveraging sensors and IoT connectivity. By addressing the limitations of existing methods, the proposed system offers an efficient and proactive solution to enhance road safety and driving experience

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