Your Vision, Our Roadmap: The Future of D8Acapture
Get a sneak peek at upcoming features and help drive the evolution of D8Acapture
We're excited to share our plans and invite you to help shape D8Acapture.
Your insights are critical to building the most powerful and intuitive utility pole management tool possible. Below, you'll find upcoming features, their objectives, current status, and estimated release timelines.
Let's build the future of D8Acapture together!
Customizable Forms
Deployed
Description: Allows users to create custom forms by selecting field types and defining attributes. Coordinates and Pole ID are required fields.
Objective: Enables flexible data capture tailored to diverse project needs, reducing manual data entry and improving data accuracy.
Polyline Routing
In Development
Description: Enables users to draw polylines directly on the map interface to define optimal routes for field crews collecting pole data. The feature incorporates distance and directionality, ensuring that routing information is accurately linked with pole attachments and reflected in export files.
Objective: Streamlines field operations by providing clear, visual guidance for data collection routes, improving crew efficiency and ensuring comprehensive coverage of required locations.
O-Calc Integration
In Design
Description: Expands D8Acapture’s export capabilities to support integration with leading Pole Load Analysis (PLA) software, starting with O-Calc. This update will also include a review and enhancement of existing export formats (KML, CSV, and photos) to ensure compatibility and improve usability for downstream engineering workflows.
Objective: Streamlines the transition from field data capture to engineering analysis by enabling seamless data transfer to O-Calc and other PLA tools, reducing manual rework and supporting more efficient project delivery.
SpidaCalc Integration
Requirements
Description: Expands D8Acapture’s export capabilities to support direct integration with SpidaCalc, a widely used Pole Load Analysis (PLA) software. This initiative will also include a review and enhancement of existing export formats (KML, CSV, and photos) to ensure seamless compatibility and improved usability for engineering workflows.
Objective: Facilitates efficient transfer of field data into SpidaCalc, reducing manual processing and supporting accurate, streamlined analysis for pole loading projects.
Polyline Import
Requirements
Description: Enhances route planning by allowing users to import KML or KMZ files containing predefined routes, in addition to drawing polylines directly on the map. This gives project managers flexibility in communicating collection routes to field crews, whether routes are created within D8Acapture or sourced from external mapping tools.
Objective: Improves operational efficiency by supporting multiple methods for defining and sharing data collection routes, ensuring crews have clear, accurate guidance in the field.
Export Updates
Requirements
Description: Allows users to customize which attributes are included in CSV and KML exports, aligning with the new customizable forms feature.
Objective: Give users control over their exported data, ensuring only relevant information is shared with stakeholders or imported into other systems.
UI/UX Update
In Development
Description: A comprehensive redesign of both web and mobile interfaces, focused on improving the look, feel, and usability of the D8Acapture platform.
Objective: Enhance user experience, making the platform more intuitive and visually appealing for telecom field and office teams.
Make-Ready MVP
Requirements
Description: This represents the initial Minimum Viable Product (MVP) implementation within D8Acapture to support make-ready engineering workflows. It will lay the foundational capabilities necessary for managing and documenting pole make-ready processes directly within the platform.
Objective: Introduces core make-ready functionality to streamline engineering tasks, improve data consistency, and reduce reliance on external tools for initial make-ready assessments.
Accuracy R&D – ML Feature Detection
In Design
Description: Researching the use of multiple pole photos and feature detection/matching to increase measurement accuracy, with a focus on optimizing ARKit performance based on proximity.
Objective: Further boost measurement consistency and accuracy, especially in challenging field conditions.
Accuracy R&D – Vision-Based ML
In Design
Collaboration with a vision-based ML expert to review workflows and propose solutions for enhanced measurement accuracy, including using ARKit mesh files to determine pole angles.
Objective: Leverage advanced machine learning to improve the precision of pole measurements, supporting telecom network reliability.
Accuracy R&D – RTK Integration
In Design
Description: Investigating the integration of external RTK (Real-Time Kinematic) devices to enhance GPS accuracy, allowing for more precise pole location data.
Objective: Achieve industry-leading accuracy in pole positioning, critical for telecom infrastructure planning and maintenance.
*Last update: 07/2025
We're committed to keeping you informed. This roadmap will be updated monthly to reflect our progress and incorporate your feedback.
Have your say! What features would most improve your workflow? Share your priorities and suggestions – we value your partnership in building the best solution.
