Users can now create, arrange, and customize data widgets on their dashboards for personalized, data-driven decision-making.
Introduced support for multi-stream content
Feature matching with charts
Canary release
Video Detection Pipeline: Development started on real-time object detection and classification within live video streams
Live Command Foundational Capabilities: Operators to take manual control or override automated drone actions during a live mission via virtual controllers
Enhancements
UI Component Library Update: Refreshed UI elements to support the new widget system and improve overall visual consistency
Users can now create and manage custom classification labels and distribute them across different Bases to standardize data tagging within teams. This is foundational to steering VLMs (Vision Language Models)
Creation of colllections: A group of tags that can be associated with areas of interest
Tags on Images: Make edits to images for model training scale up
Filter Large Scale Images: Simplify the list of items on the GIS layer
Enhancements:
iPad and Mobile Web Responsiveness: The platform interface is now fully optimized for use on iPads and other mobile web browsers, ensuring a consistent user experience on the go.
Base Filtering for Labels: Added the ability to filter and search for custom labels specific to the Base you are currently working in.
Improved Touchscreen Interactions: Refined drag-and-drop and map navigation controls for better performance on touch-based devices.
Introduced a system for importing and managing assets, including drone models, serial numbers, and vehicles, laying the groundwork for fleet management
Enhancements
Image viewer panels are no longer fixed and can be moved, resized, or stacked, allowing for more flexible data comparison
User profiles now include fields for logging certifications and total flight hours
Implemented a foundational AI model for generic object classification on all incoming image data, automating the initial tagging process.
Semantic Search Capability: Users can now use natural language to search for data. For example, a search for “vehicle” will intelligently return results for cars, boats, and trucks
Contextual AI-Based Filtering: Search filters are now enhanced to include AI-detected classifications, allowing users to rapidly sift through massive datasets.
Enhancements
General UX Refinements: Introduced more interactive visual elements, improved button states, and refined layout flows for a more intuitive user experience
Interactive Geospatial Image Projections: Images are now projected onto the map view, allowing users to click a location to see the corresponding image and its metadata
Manual Object Tagging: Users can now manually draw bounding boxes on images and apply tags to classify objects, events, or points of interest
Basic Search & Filter by Tag: Implemented a search functionality allowing users to filter the dataset based on their manually created tags and classifications
Enhancements
Image Metadata Display: The image viewer now clearly displays all key EXIF data, including GPS coordinates, timestamp, and camera settings
Multi-Tenant Workspaces (Bases): Introduced the core concept of ‘Bases’ to segment data, projects, and users, enabling secure, multi-tenant use of the platform
New:Temporal Timeline View: Datasets are now automatically organized and visualized on a timeline, providing a clear view of data distribution over time
Enhancements
Data Clustering Algorithm: Improved the logic for how datasets are clustered on the map and timeline for more intuitive grouping
Base Creation & Management UI: Built the initial interface for creating, naming, and switching between different Bases
Drag-and-Drop Data Import: The foundational feature allowing users to easily drag and drop image and data files directly into the platform for ingestion
Initial Data Processing Core: Established the backend service for handling initial data uploads, extracting basic metadata, and storing files
Geospatial Data Visualization: Datasets with location data are now automatically clustered and displayed as points on a world map
Enhancements
File Type Support: Initial support for common image formats (JPG, PNG) and associated metadata files