Smart Web App for Business Premises / (Record no. 611600)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02038nam a22001817a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240920142927.0 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.1,SHA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Shahzad, Muneeb |
| 9 (RLIN) | 125934 |
| 245 ## - TITLE STATEMENT | |
| Title | Smart Web App for Business Premises / |
| Statement of responsibility, etc. | Muneeb Shahzad, Muhammad Zeeshan, Sher Muhammad Hamza, Obaid Ur Rehman. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | MCS, NUST |
| Name of publisher, distributor, etc. | Rawalpindi |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 129 p |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | This multifaceted project is meticulously crafted to cater to the needs of workplace employers, office workers, security personnel, and management staff. Its overarching goal is to introduce a sophisticated camera system that empowers project managers to oversee team activities with precision and efficacy.<br/>By leveraging this innovative system, the project endeavors to cultivate a workplace environment characterized by heightened productivity and a culture of innovation and efficiency. Central to its operation is the integration of a robust database with an extensive network of cameras strategically deployed throughout the building. This integration enables the system to detect various employee behaviors, facilitating essential functions such as clocking in and out, while also serving as a deterrent against detrimental habits like smoking, which can adversely impact office productivity.<br/>Moreover, the system equips managers with the tools to track employee progress and promptly address any workplace offenses captured by the cameras. Leveraging cutting-edge machine learning algorithms, the system analyses images to identify specific behaviors, flagging them within the database for further review and action. With its ability to consider multiple behaviors and synchronize data across numerous cameras in real-time, the project provides managers with comprehensive insights into employee performance, facilitating informed decision-making and driving continuous improvement across the organization. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | UG BESE |
| 9 (RLIN) | 114271 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | BESE-26 |
| 9 (RLIN) | 125902 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor Dr. Hammad Afzal |
| 9 (RLIN) | 114319 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Project Report |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Military College of Signals (MCS) | Military College of Signals (MCS) | General Stacks | 09/20/2024 | 005.1,SHA | MCSPCS-485 | 09/20/2024 | 09/20/2024 | Project Report |