Development of an Automated Coin Slot Sales Tracking System Using Microcontroller

This study addresses the prevalence of fraudulent activities and revenue inconsistencies in Pisonet businesses caused by reliance on manual monitoring methods. The primary objective of the project is to develop an Automated Coin Slot Sales Tracking System using a microcontroller to enhance financial transparency and operational efficiency. The system was developed using the Modified Waterfall SDLC model, covering requirements gathering through deployment, and was built using ESP32 microcontrollers, Firebase Firestore, Next.js, and Tailwind CSS for its implementation. It is intended for Pisonet business owners and branch partners, offering features such as real-time coin counting, automated financial reporting, offline data synchronization, and multi-branch management. Testing and evaluation show that the system achieves high accuracy in recording transactions, maintains stable connectivity via a dedicated network, and provides an organized interface that simplifies sales verification. The project effectively establishes a transparent digital audit trail that minimizes human error and prevents fraud, though physical security against altered coins remains dependent on the coin slot hardware.