SenZer: An IoT-based illegal parking detection system with notification and mapping in Tondo, Manila

ABSTRACT: STATEMENT OF THE PROBLEM: This study tests an illegal parking detector in barangay 200 Tondo, Manila, to see it can accurately and efficiently detect and recognize illegally parked vehicles. It will address specific research questions: 1. In terms of detection, how far is the SEN-zer capable of detecting illegally parked vehicles? How far will the vehicle need to be retain detection on the SEN-zer? 2. In terms of notification, how fast is the SEN-zer capable of sending notification to the authorities? 3. How long will the SEN-zer allow an illegally parked car to remain at its spot before sending notification to the authorities? 4. Is there a specific material that a vehicle must have for the SEN-zer to recognize the vehicle or will it be able to detect all type of vehicles regardless of assembly material? RESEARCH METHODOLOGY: This study is a quantitative research that aimed to investigate the effectiveness of the SEN-zer system in detecting and reducing illegal parking in Tondo, Manila. The study will use a combination of surveys and actual data collected by the system to measure its accuracy, speed, and efficiency. Research Design-This study aims to install an illegal parking detector for crowded highways and roads with high illegal parking rates. The researchers will use Experimental Research Design to examine the cause-and-effect relationship between illegal parking and traffic. They will investigate hoe the intensity of illegal parking enforcement affects the traffic situation in the area. The study’s findings will inform traffic and law enforcement agencies, city planners, and policymakers seeking to address illegal and traffic congestion in crowded urban areas. Schematic Diagram-The diagram shows the connections between the components of the SEN-ZER Illegal Parking Detector prototype using two ESP 32s with ESP Now Technology for fast communication. The Ultrasonic Sensor is connected to pins PO and P4 ADC drivers API. Another schematic diagram shows that A02YYUW Ultrasonic Sensor Module connected to the V5 pin on the ESP. The A02 was chosen for its durability is harsh environments. Research Locale-The study will take place in Barangay 200 Tondo, Manila, Philippines, MTPB officers will be interviewed in their office or chosen location. Local residents will be interviewed via video chat after implementation. The chosen location will provide necessary information for monitoring illegal parking incidents. The study will take place in the first semester of the academic year 2022-2023. SUMMARY OF FINDINGS: Researchers aimed to design an IoT-based illegal parking detector system to alleviate the heavy traffic on Tondo, Manila’s roads. They implemented the system in Hermosa, Tondo, Manila, which suffers from severe congestion due to its location. The design ran from April 25 to May 1 and included magnetometers and ultrasonic sensors. An app was developed to report illegally parked vehicles, with authorized users having access to the database. Feedback was collected from citizens, including drivers, barangay officials, and neighbors. Within 24 hours of implementation Senzer was able to gather data of illegal parking violators throughout the day. Each time has a number of detected illegally parked vehicles in which according to the area, the most incidents of violations is the afternoon time. With the amount reaching up to 44 for detection, and only 17 being confirmed cases of illegal parking, this shows the capacity of the device to continuously detect road obstructions (because of its strategic positioning in the sidewalk) all throughout the day, without any allowances or gaps, since the only confirmed cases to be really cases of illegal parking were 17, out of 44, means only a mere 38 percent, not even half (50 percent or 22) were true cases. The device was also allowed to run continuously under strict monitoring for 6 days, checking whether under prolonged use would it become unusable, and if anything would change or cause any of its functions to do anything out of the ordinary, according to the data below, those are the number of detected and reported cases, which means the detection rate of the device is within expectation, and the numbers were reasonable to be considered as vehicles being detected, and only parked for a couple of minutes before the 5 minute mark. CONCLUSION: In conclusion, the SenZer smartphone app may help with the problem of unauthorized parking in Tondo, Manila, Philippines. For the study to be applicable to a wider audience, a varied sample of respondents from various backgrounds and demographics were enrolled. The mobile application underwent a quality evaluation to determine any areas that need improvement and to make sure it complied with the highest requirements. The observation data suggests that the SenZer system could be effective in detecting illegal parking incidents in Tondo, Manila, and could complement existing reporting mechanisms to improve parking enforcement efforts in the area. The percent difference between the detected and reported incidents during the period of observation was 55.0725%. The data collected from the midnight-dawn violators data also provided valuable insights that could be used to improve parking enforcement efforts in the area. The data indicated that most of the illegal parking incidents occurred during the midnight to dawn period, and the findings could be used to improve the allocation of resources and enforcement efforts doing this period. In conclusion, the SenZer mobile application has the potential to enhance parking enforcement efforts in Tondo, Manila, and the findings from this study could be used to improve the allocation of resources and enforcement efforts in the area. RECOMMENDATION: In order to provide a more comprehensive solution to the problem of illegal parking in urban areas, this thesis proposes a number of recommendations for improving the SEN-zer system, an IoT-based illegal parking detection system with notification and mapping function in Tondo, Manila. 1. Design Improvement: While the current prototype of the SEN-zer system is clean and straightforward, it may not be visually attractive or blend well with the urban surroundings. Enhancing the device’s can make it more appealing and less noticeable, which could result in greater community acceptance and adoption. 2. Multiple Detection Methods: While the combination of ESP32, Hmc 5983 magnetometer, and ultrasonic sensor is effective in detecting illegal parking incidents, adding more detection methods, such as using cameras or infrared sensors, can provide a more comprehensive approach to detect different types of violations. 3. Identify Vehicle Type: The current system can detect the presence of a vehicle, but it cannot identify the type of vehicle. Adding a camera or another sensor that can identify the type of vehicle can provide useful information to enforcement personnel and can aid in the efficient deployment of resources. 4. Machine Learning: Machine learning algorithms can be used to improve the accuracy of the system and reduce false positives. By training the system to recognize different type of vehicles, it can better differentiate between legal and illegal parking. 5. Sustainability: The system should be designed with sustainability in mind, such as using renewable energy sources or incorporating recycling programs for device components. This can reduce the system’s environmental impact and make it more cost-effective in the long run. By implementing these recommendations, the SEN-zer system can be further improved and can provide a more comprehensive solution to the problem of illegal parking in urban areas.

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