| 000 -LEADER |
|---|
| fixed length control field |
02546nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
629.8 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Khan, Abdul Hakeem |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Thermal Mapping of Indoor Building Surfaces / |
| Statement of responsibility, etc. |
Abdul Hakeem Khan |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Islamabad : |
| Name of producer, publisher, distributor, manufacturer |
SMME- NUST; |
| Date of production, publication, distribution, manufacture, or copyright notice |
2024 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
62p. |
| Other physical details |
Soft Copy |
| Dimensions |
30cm |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Thermal Scanning of indoor Environments is crucial for System Optimization, Energy efficiency<br/>and Human comfort. Utilizing thermal maps generated through a thermal scanning system allows<br/>for the Identification of Temperature variations, design enhancement, anomalies detection and<br/>HVAC system optimization. This data-driven approach supports cost-effective energy<br/>conservation and helps contribute to regulatory compliance, health and safety standards in indoor<br/>environments. The developed scanning system integrates development components to provide a<br/>comprehensive solution for diverse applications within confined spaces. The thermal mapping<br/>system incorporates multimodule system, prominent components that record/capture data are<br/>Thermal camera, pi/web camera and a proximity/distance sensor. The system is equipped with real<br/>time and offline data processing capabilities, mainly Image Processing, object detection and data<br/>generation. Key features of the system include its adaptability to various indoor settings, enabling<br/>to extract temperature measurements, object detection, distance measurement and detection of<br/>thermal signature. The system's design facilitates rapid and accurate detection of anomalies, such<br/>as hotspots or cold zones, contributing to enhanced safety and efficiency in indoor environments.<br/>Thermal imaging system's versatility extends to its compatibility with multiple platforms,<br/>including handheld devices, drones, and fixed installations, ensuring flexibility in deployment.<br/>utilize the system for applications ranging from building diagnostics and energy efficiency<br/>assessments to fire prevention and security monitoring. In conclusion, the developed thermal<br/>imaging system represents a significant advancement in indoor environmental scanning<br/>technology. Its versatility, efficiency and ease of use make it an invaluable tool for professionals<br/>across various industries, promoting enhanced safety, efficiency, and data-driven decision-making<br/>in indoor spaces. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
MS Robotics and Intelligent Machine Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Supervisor : Dr Muhammad Sajid |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="http://10.250.8.41:8080/xmlui/handle/123456789/43181">http://10.250.8.41:8080/xmlui/handle/123456789/43181</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Thesis |
