Stock Counter - Bakar, Muhammad Abu; Supervisor Dr. Naima Iltaf (MCS, NUST, 2023)
We have developed an android based mobile application named (3z(BStock Counter(3y(B. This Mobile Application is designed to accurately count and track objects in images taken with a mobile device. Using Tenser-flow algorithms, the application can detect and identify objects in images, then track them over time to provide accurate counts. The application is highly customizable, allowing users to set up different detection parameters, filter out unwanted objects, and adjust counting thresholds. The application is useful for a variety of applications, including retail inventory management, crowd control, and traffic analysis. Key features of the application include real-time object detection and counting, customizable detection parameters, and custom reporting. By providing businesses and individuals with an accurate and efficient way to count objects. This mobile application helps to improve productivity and reduce errors.s
Keywords: UG BESE