Project Name
Built a Single-Tool Polygon Annotation Platform, Giving Precise Colour-Guided Spatial Area Spotting
Our client is an organisation whose Quality Engineers, Field Technicians, and Site Surveyors are responsible for analysing images captured during field operations, such as inspections, site surveys, quality assessments, or environmental monitoring, to identify and record specific spatial areas of interest. These target areas are distinguishable by colour markers in the image but require precise polygon boundary annotation to capture their exact extent for downstream analysis, reporting, compliance documentation, or computer vision model training.
Without a purpose-built annotation tool, the organisation’s field and quality teams were navigating a fragmented process that required multiple software applications, technical knowledge of coordinate systems, and manual data collation. This created barriers to annotation accuracy, consistency, and speed that made visual area analysis unnecessarily complex for the non-technical users who performed it most frequently.
No single annotation platform, complex specialist tools, inaccurate manual drawings, and fragmented workflows made image annotation slow, inconsistent, and difficult for non-technical field users.
- No Single Tool for Image Annotation: Users had to switch between multiple applications for image viewing, annotation, and coordinate recording, making the process slow and cumbersome.
- Specialist Tools Too Complex for Field Users: Existing annotation software required knowledge of coordinate systems, file formats, and technical workflows, making it unsuitable for Quality Engineers, Field Technicians, and Site Surveyors.
- Inaccurate Polygon Annotations: Without a dedicated polygon editor, users relied on general-purpose tools to draw approximate boundaries, reducing annotation accuracy and downstream analytical value.
- Fragmented Multi-Area Annotation Workflow: Annotating multiple regions required separate sessions, manual coordinate management, and file consolidation, increasing effort and the risk of errors.
- No Structured Spatial Data Capture: Annotations were stored only as visual markings on images rather than structured polygon coordinates, limiting their use for analysis, measurements, and AI model training.
- Manual Colour Marker Identification: Users had to visually locate colour-marked areas without any in-tool assistance, making annotation slower, inconsistent, and prone to missed regions.
Ksolves, an AI-first technology company offering AI and ML consulting services, developed a purpose-built image annotation editor that combines colour marker detection, multi-polygon drawing, and structured spatial data capture into a single platform. The solution enables Quality Engineers, Field Technicians, and Site Surveyors to identify, annotate, label, and save multiple areas of interest through an intuitive interface without requiring technical expertise.
- Automated Colour Marker Detection: Automatically identifies and highlights candidate regions based on configured colour signatures, reducing manual scanning and improving annotation consistency.
- Direct Polygon Drawing Interface: Allows users to draw precise polygon boundaries directly on the image using an intuitive point-and-click interface, eliminating the need for separate annotation tools.
- Multi-Polygon Annotation: Supports creating, labelling, and saving multiple polygon annotations on a single image in one session, removing the need for multiple workflows or manual collation.
- Structured Spatial Data Capture: Saves polygon coordinates in a machine-readable format, enabling downstream analysis, area measurements, reporting, and AI model training.
- Field-Friendly User Interface: Provides a simple, intuitive interface designed for non-technical users, minimizing training while streamlining the annotation workflow.
Technology Stack
| Category | Technology |
|---|---|
| Computer Vision | Colour Marker Detection Layer |
| Platform | Integrated Image Annotation Editor |
| Architecture | Multi-Polygon Annotation Engine |
| Processing | Spatial Coordinate Extraction & Storage |
| UX | Non-Technical User Interface Design |
| Methodology | Colour-Guided Annotation Assistance |
From a fragmented, multi-tool annotation process to a single integrated platform that delivers accurate, structured spatial annotations in one streamlined workflow.
- Unified Annotation Workflow: A single integrated editor now handles image loading, colour detection, polygon drawing, labelling, and data saving, eliminating tool switching and manual data collation.
- Accurate Annotation for Non-Technical Users: An intuitive point-and-click interface enables field users to create precise polygon annotations without specialist software or technical expertise.
- Multi-Area Annotation in One Session: Multiple regions on a single image can be annotated, labelled, and saved together, removing the need for separate sessions and manual consolidation.
- Structured Spatial Data for Analysis: Every annotation is saved with machine-readable polygon coordinates, enabling reporting, measurements, downstream analytics, and AI model training without additional processing.
- Faster, More Consistent Area Identification: Automated colour marker detection highlights candidate regions on image load, reducing manual scanning time and improving consistency across users.
Ksolves replaced a fragmented, multi-tool annotation process with a single integrated platform that simplifies image annotation from start to finish. By combining automated colour detection, intuitive polygon drawing, and structured spatial data capture, the solution enables non-technical users to create accurate annotations quickly and consistently. The result is a faster, more reliable workflow that produces machine-readable spatial data ready for reporting, analysis, compliance, and AI model training, improving both annotation quality and operational efficiency.
Are Your Field Teams Still Switching Between Multiple Tools Just to Draw a Boundary Around an Area on an Image?
