Mustafa Shafqaat

Academic

Career

Verbatim text

Automated Map Change and Encroachment Detection System using 
Computer Vision 
apid urbanization and unplanned development have significantly increased the risk of illegal 
onstructions and land encroachments, especially in developing regions. Traditional land monitoring 
ethods rely heavily on manual surveys, physical inspections which are time-consuming and often 
·nefficient. To address these challenges, this project proposes an intelligent, automated land 
onitoring system that integrates drone-based imaging, computer vision, and geospatial analysis for 
·eal-time detection of map changes and encroachments. 
he proposed system utilizes a drone equipped with a high-resolution camera and GPS module to 
apture real-time aerial imagery of targeted regions such as housing societies, construction sites, and 
gricultural zones. The captured images are geo-referenced and processed using computer vision 
echniques to detect stmctural patterns and land-use changes. These images are then compared agains 
fficial layout plans and digital map data from platforms such as OpenStreetMap (OSM) to identify 
hanges between approved plans and actual ground conditions. 
y implementing automated change detection algo1ithms, the system can highlight new constructions 
r structural modifications that deviate from authorized maps. The detected anomalies are visually 
arked and displayed on screen, allowing authorities, urban planners, and land administrators to 
easily monitor and verify. 
An Automated Map Change and 
Encroachment Detection 
System using Computer Vision 
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Technology Used: 
Computer Vision for object detection and 
stmctural recognition 
Geospatial Intelligence (GIS) for spatial data 
ignment and map comparison 
Drone Technology for aerial data acquisition 
Supervisor Name: 
Dr. Shahzad Saleem 
Group Members: 
M. lshtiaq Azfar (i22 - 2194) 
M. Ahmed Khan (i22 - 2200) 
Mustafa Shafqaat (i22 - 9855) 
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