ABSTRACT\\\\r\\\\n

Automated trolley systems are designed to assist customers by following them and carrying loads, addressing the inconvenience of manually pushing carts. This study presents a prototype of the Autonomous Trolley Assistant Human Tracking System, which uses ultrasonic and infrared sensors to track users and navigate store environments. The prototype also features a load sensor to measure carried weights, enhancing functionality for users handling heavier goods. The development follows an Agile Development Model, enabling continual improvement based on user feedback and technological progress. The results revealed that the Autonomous Trolley Assistant could effectively implement its functionality in detecting target objects and following users. The system achieved an overall mean score of 4.78, rated as strongly functional. Additionally, the development of the prototype achieved a mean score of 4.53, also rated as strongly functional. Enhancing the system’s development resulted in a total mean score of 4.67. These ratings reflect its accuracy, efficiency, and reliability in tracking users and carrying loads.\\\\r\\\\n

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