SELF-PARKING SYSTEM: BUILD AN AI SYSTEM THAT ENABLES VEHICLES TO PARK FREE IN VARIOUS ENVIRONMENTS

Abstract

Self-parking systems, which utilize sensors to enable automatic parking, address the growing issue of urban congestion caused by the increasing number of vehicles. These systems help mitigate the negative effects of inefficient parking on traffic flow and resource management. This study highlights the importance of smart parking technologies in optimizing space utilization, reducing emissions, and promoting sustainable urban development by offering more efficient and eco-friendly parking solutions. This study employs a descriptive research design and utilizes purposive sampling to gather insights from ten selected respondents, consisting of five Mechanical Engineers and five Information Technology experts. A validated survey questionnaire was administered to collect data on demographic profiles, the acceptability of self-parking systems, encountered challenges, and proposed solutions. Data were collected through paper-based surveys and analyzed using descriptive statistics to effectively summarize the key findings. The results of the analysis, which evaluated materials, reliability, procedural methodology, system accuracy, and presentation, indicate an overall rating of "acceptable." The group of Mechanical Engineers recorded an overall mean of 3.03, with a variance of 0.332. The Information Technology Experts reported a slightly higher overall mean of 3.11, with a variance of 0.217. Both groups shared a significance level (alpha) of 0.05, a t-critical value of 2.306, and a computed t-value of 0.126. Since the t-computed is less than the t-critical, the findings suggest that there is no statistically significant difference between the assessments of the two groups. For the further enhancement and improvement of the project, the following recommendations are proposed based on the respondents' feedback: First, the use of branded and high-quality materials is advised to minimize the risk of device malfunction. Second, greater attention should be given to the core functionality of the device to ensure user safety and prevent accidents. Third, the procedural steps should be clearly defined and easy to follow to support proper implementation and maintenance. Lastly, it is important to remain focused on the objectives of the study and consider the potential benefits it can offer to end-users.