Development of a Web-Based Imagery Change Detection and Assessment Platform for Land and Infrastructure Monitoring

The client requires a sophisticated web platform capable of comparing large datasets of drone-captured images over different time points, ensuring accurate identification of terrain changes, structural defects, or environmental shifts. The platform must process high volumes of data swiftly, preserve image quality, and facilitate precise spatial analysis based on geolocation metadata such as altitude, latitude, longitude, and camera pitch, while maintaining high security standards.

A mid to large-sized surveying or civil engineering firm specializing in terrain analysis, infrastructure assessment, and environmental monitoring, utilizing drone imagery for terrain and structural assessments over time.

• Develop a web platform capable of efficiently sorting and comparing images captured at different times by location and similarity metrics.
• Enable precise spatial analysis by displaying accurate drone locations, including altitude, coordinates, and camera pitch.
• Incorporate auto-resizing of images based on internet connection speed for optimal user experience.
• Allow users to download images in either maximum quality or compressed formats for faster access.
• Integrate satellite mapping to visualize drone locations at the time of capture and connect imagery with geospatial data.
• Implement user management functionalities for administrators and inspectors, including role-based access control.
• Ensure high security protocols for platform access via login credentials.
• Incorporate watermarking features during image download to protect data integrity.

• Accurate drone location display on satellite maps with real-time capturing timestamp.
• Metadata extraction including altitude, latitude, longitude, and camera pitch from images.
• Intelligent image comparison to identify the most similar images captured at different times based on location and visual similarity.
• Auto-resize images dynamically depending on internet speed to optimize performance.
• Zoom functionality for detailed examination of image changes.
• Options for high-quality or compressed image download with automatic watermarking during download.
• Mapping integration connecting satellite maps with image galleries for spatial context.
• Kilometrage calculation from a fixed geographic zero point (e.g., city center).
• Role-based administrative functions for user and site management.

• Mapping services for satellite imagery (e.g., GIS mapping APIs)
• Metadata extraction tools from drone image files
• Security/authentication systems for login management
• Watermarking service or library for protected image downloads

• High data processing performance to handle large datasets swiftly
• Responsive design supporting auto-resizing of images based on connection quality
• Security protocols ensuring platform access only by authenticated users
• System scalability to accommodate increasing data volume and user base
• Fast load times and smooth UI interactions for efficient workflow

The developed platform is expected to significantly streamline imagery assessment workflows, enabling quick and accurate detection of changes in terrains and structures over time. It will enhance spatial analysis capabilities, improve data security, and facilitate better decision-making. Based on prior similar implementations, the platform aims to increase user engagement substantially, reduce manual review times, and support large data volumes with high responsiveness, contributing to improved operational efficiency and data utilization for clients in land and infrastructure monitoring sectors.