This report details a student project focused on developing an IoT-based early pedestrian detection system to enhance driving safety. The project encompasses a thorough analysis of the problem domain, research questions, and project objectives, including a literature review on existing pedestrian detection methods. The report outlines the project's requirements, specifications, and a detailed project plan, including weekly activities, team member responsibilities, and a Gantt chart. The project design, individual research approaches, budget considerations, and research methods for the next stage are also presented. Furthermore, the report includes a flowchart of the system's working, details on the use of Microsoft Azure for data storage, and a prototype overview. The report concludes with a discussion of limitations, future work, and a comprehensive bibliography.
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