000			01425nam a22001817a 4500
003			NUST
040			_a0
082			_a005.1,BAK
100			_aBakar, Muhammad Abu _9114269
245			_aStock Counter / _cMajor Sarfraz Ahmad, Capt Muhammad Abu Bakar, Capt Qaiser Khan, Capt Sufyan Zafar
264			_aMCS, _bNUST _c2023
300			_axii, 51 p
505			_aWe have developed an android based mobile application named “Stock Counter”. 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.
650			_aUG BESE _9114271
690			_aBESE-25 _9114270
700			_aSupervisor Dr. Naima Iltaf _9113008
942			_2ddc _cPR
999			_c595639 _d595639