• Saquib Mohiuddin Siddiqui
• Dr. Syeda Gauhar Fatima
• Abdul Aleem
• Abdus Samee

Unmanned Aerial Vehicles are becoming more and more popular to meet the demands of increased population and agriculture. It is also expected that drones will take a major role in the connected smart cities of the future. They will be delivering goods, merchandise and serving as mobile hotspots for broadband wireless access and maintaining surveillance and security of smart cities. Drones equipped with appropriate cameras, sensors and integrating modules will help in achieving easy, efficient, precision agriculture. The proposed solutions which includes 3D ToF Camera for superior depth mapping and semantic segmentation using multispectral imaging to aid in SAR Missions. Related to these drones, if integrated with various Machine Learning and Internet of Things concepts, can help in increasing the scope of further improvement. Proposed solutions that can be integrated into the drone using various microcontrollers such as raspberry pi.

Raspberry pi, UAV, MATLAB

"Smart Multipurpose Unmanned Aerial Vehicle with 3D Depth Mapping & Spectral Imaging", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.486-497, April-2019, Available :http://www.jetir.org/papers/JETIR1904873.pdf

"Smart Multipurpose Unmanned Aerial Vehicle with 3D Depth Mapping & Spectral Imaging", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp486-497, April-2019, Available at : http://www.jetir.org/papers/JETIR1904873.pdf