Unified Landscaping Platform Automating Zone Classification
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Solution Overview
Problem
Current computer-based landscaping project generation systems are inefficient due to the need for multiple platforms for project mapping, design, and estimation, which complicates collaboration between users and clients, and requires manual updates and identification of project components, leading to reduced usability and applicability.
Innovation Solution
A project platform that imports terrain imagery pixel data, uses machine learning to generate and classify zones, and transforms them into component polygons, allowing for intuitive and efficient project generation and collaboration through a unified graphical user interface, enabling automated identification and classification of project zones and seamless client feedback integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple platforms are used for project mapping, design, and estimation, then comprehensive project management is achieved, but system complexity and collaboration difficulty increase
Solution Approach 1:
The patent combines multiple previously separate platforms (mapping, design, and estimation tools) into a single integrated system. The unified platform allows users to perform all project management tasks within one interface, eliminating the need to switch between multiple applications and reducing overall system complexity.
Solution Approach 2:
The system is designed as a universal platform that performs multiple functions including terrain mapping, project design, cost estimation, and collaboration tools. This multi-functional approach allows a single system to replace several specialized tools while maintaining comprehensive project management capabilities.
2Ease of operation
If manual updates and identification of project components are required, then flexibility is maintained, but productivity and time efficiency decrease
Solution Approach 1:
The system performs preliminary automated actions by using machine learning models to pre-identify project components and pre-generate estimates based on imported terrain imagery. This preliminary processing reduces the need for manual updates later in the workflow while maintaining the ability to modify results as needed.
Solution Approach 2:
The system enables self-service automation where the platform automatically identifies project components, generates zone classifications, and creates cost estimates without requiring manual intervention. Users can review and adjust these automated results, combining machine efficiency with human oversight.
3Measurement precision
If traditional multi-platform systems are used, then detailed project analysis is possible, but collaboration between users and clients becomes complicated
Solution Approach 1:
The patent merges client viewing and feedback capabilities directly into the project management platform. Clients can access project details, views, and provide feedback through the same system used by professionals, creating a seamless collaboration experience without requiring clients to navigate multiple external tools.
Solution Approach 2:
The unified platform serves as an intermediary that bridges professional project management and client review processes. It translates complex project data into client-friendly views while maintaining full analytical capabilities for professionals, facilitating smooth communication and collaboration between both parties.
Data Source
AI summary
Embodiments are generally directed to techniques for interactive landscaping project generation. Some embodiments are particularly directed to a project platform that supports aspects of project generation and collaboration. In several embodiments, the project platform may facilitate project mapping, design, and estimation. In many embodiments, the project platform may facilitate interaction between users (e.g., companies) and clients (e.g., customers).