Geospatial Image Integration for Worksite Operations
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Solution Overview
Problem
Current methods for capturing and integrating images with geospatial data in agricultural and construction fields require specific trips by employees, which are inefficient and do not provide real-time or context-specific information for managers.
Innovation Solution
A system that captures images from work vehicles and associates them with geospatial data, allowing for searchable integration and display based on user selection on a map, enabling managers to access detailed information about the health, growth stage, or status of work areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If employees or agronomists take specific trips to capture images for geospatial data collection, then image data can be obtained for analysis, but time and resource efficiency deteriorate due to dedicated trips being required
Solution Approach 1:
The system performs preliminary action by having work vehicles automatically capture and upload images during their normal operations before any analysis or retrieval is needed. Images are captured continuously as the vehicle traverses the work area, and geospatial metadata is embedded in advance, so that when managers need information, the data is already available without requiring additional trips.
Solution Approach 2:
The work vehicle performs self-service by automatically capturing images with its onboard sensors, determining its own geospatial location using GPS, embedding the location data in the image metadata, and uploading everything automatically without requiring employee intervention. The system serves itself by integrating image capture with the vehicle's normal operational workflow.
2Ease of manufacture
If geospatial data and images are stored separately, then data storage and retrieval is simpler, but integration and contextual correlation deteriorate making it difficult to link images with specific map locations
Solution Approach 1:
The system merges geospatial data and images by embedding location information directly into the image metadata. The GPS coordinates, timestamp, and other geospatial parameters are combined with the image data in a single structured format, allowing the image to carry its own location context without requiring separate storage systems or complex linking mechanisms.
Solution Approach 2:
The image file serves multiple functions simultaneously: it acts as both the visual record and the geospatial data carrier. By embedding metadata containing location, time, and vehicle information within the image structure, the same file provides both pictorial evidence and precise geospatial context, eliminating the need for separate data structures.
3Speed
If work vehicles continuously capture and upload images, then real-time information availability improves, but data transmission and storage requirements increase
Solution Approach 1:
The system extracts only the essential information from continuous image capture by selectively uploading images based on predefined criteria such as location milestones, operational events, or quality thresholds. Instead of transmitting all captured images, the system extracts and uploads only those images that meet specific conditions, reducing data volume while maintaining information availability.
Solution Approach 2:
The system applies partial action by capturing images continuously but uploading only a subset of them based on operational needs. This allows the vehicle to maintain continuous monitoring capability while transmitting only the necessary portion of captured data, balancing real-time information availability with data transmission efficiency.
Data Source
AI summary
A computer-implemented system and method are provided for searchable integration of operating images and geospatial data, particularly for agricultural field operations or construction worksites in which visual images may be captured by work vehicles during their normal operation rather than requiring specific trips by employees or agronomists. Captured images are uploaded from sensors associated with a work vehicle traversing a work area, along with associated geospatial data, to a remote data storage device via a communications network. The uploaded images and geospatial data are selectively correlated with respect to a geospatial map. Responsive to user input corresponding to a selected one or more nodes in the geospatial map, at least one of the uploaded images are identified as corresponding to the selected one or more nodes. A display is generated representing the identified at least one of the uploaded images on a display unit associated with the received user input.