Vertix Robotics provides advanced, AI-driven annotation solutions for remote sensing data, enabling scalable, precise, and secure labeling across diverse geospatial formats to power next-generation Earth Observation applications.
Accelerating AI Development in Earth Observation with Scalable Remote Sensing Data Annotation
Unlocking the full potential of AI and Big Data in Earth Observation requires high-quality, large-scale labelled datasets. Vertix Robotics offers an efficient and cost-effective solution for annotating airborne and satellite imagery, enabling faster and more accurate dataset creation. Vertix empowers researchers, developers, and organisations to train and deploy AI algorithms with greater confidence and reliability by streamlining the annotation process. Whether for environmental monitoring, urban planning, or disaster response, Vertix ensures your remote sensing data is ready for advanced AI applications, transforming raw imagery into actionable insights at scale.
Edge AI Revolutionizes 6 Industries
-
Transportation and Logistics
Creating HD Maps from Satellite and Drone Imagery for AVs
Annotating Road Networks and Traffic Signs for Smart Mobility
Oriented Bounding Box Annotation for Vehicle Direction Detection
Leveraging AI Annotation for Real-Time Traffic Monitoring
Lane and Intersection Detection with UAV Imagery
Supporting V2X Systems with Accurate Geospatial Data
-
Defense & Intelligence
Monitoring Military Activity with Satellite Image Annotation
Identifying Threats in High-GSD Aerial Imagery
Tracking Object Movement in Conflicted Zones with AI
Secure Data Labelling Pipelines for Classified Missions
Oriented Object Detection for Tactical Decision-Making
Annotating Night-Time and Infrared Data for Surveillance
-
Disaster Management
AI-Powered Damage Detection Post-Natural Disasters
Flood Zone Mapping Using Annotated Satellite Imagery
Tracking Evacuation Routes with UAV-Based Annotations
Fire Spread Prediction Using Annotated Thermal Data
Pre-- and Post-Disaster Change Detection with AI
Supporting Humanitarian Aid Through Real-Time Geospatial Labelling
-
Industrial and Manufacturing
Detecting Deforestation with High-Resolution Labelled Imagery
Annotating Satellite Data to Monitor Water Bodies and Floods
Tracking Air and Water Pollution through Remote Sensing
Climate Change Impact Analysis Using Labelled Geospatial Data
Identifying and Monitoring Protected Habitats with UAV Data
AI-Assisted Wildfire Mapping Using Thermal Imagery Annotation
-
Smart City
Mapping Urban Expansion with Annotated Satellite Imagery
Using Remote Sensing Labels to Optimize Public Infrastructure
AI in Smart City Planning: Annotated Data as a Backbone
Building Detection and Zoning with Aerial Annotation Tools
High-Resolution Object Tracking for Traffic Flow Analysis
Monitoring Green Spaces in Urban Environments via AI
-
Agriculture
Enhancing Crop Yield Forecasting with Remote Sensing Annotation
AI-Powered Weed and Pest Detection in Farmlands
Monitoring Irrigation Patterns Using Aerial Image Annotation
Annotated Multispectral Imagery for Soil Health Analysis
Revolutionising Agricultural Mapping with UAV and Satellite Data
Data-Driven Farm Management through AI and Geospatial Labeling
Pixelwise Segmentation
Unlocking the full potential of AI and Big Data in Earth Observation requires high-quality, large-scale labelled datasets. Vertix Robotics offers an efficient and cost-effective solution for annotating airborne and satellite imagery, enabling faster and more accurate dataset creation. Vertix empowers researchers, developers, and organisations to train and deploy AI algorithms with greater confidence and reliability by streamlining the annotation process. Whether for environmental monitoring, urban planning, or disaster response, Vertix ensures your remote sensing data is ready for advanced AI applications, transforming raw imagery into actionable insights at scale.
Why Vertix Robotics?
Why Vertix Robotics? At Vertix Robotics, we go beyond basic annotation by offering advanced features like oriented bounding box annotation, enabling more accurate representation of object direction and geometry. This level of precision is crucial for tasks such as object tracking, trajectory prediction, and behavior analysis. Combined with our support for diverse sensor types and our secure, scalable infrastructure, we ensure that your AI models are trained on high-quality, context-aware datasets. Whether you're working on smart transportation, defense applications, or environmental monitoring, Vertix Robotics delivers the tools, expertise, and reliability needed to power next-generation AI solutions.
Oriented Bounding Box
As one of the unique features of our AI-powered annotation tool, we offer oriented bounding box annotation, allowing you to capture not only the position but also the heading direction of an object. This is particularly valuable for annotating vehicles, airplanes, and ships, where the head and tail have distinct appearances. Unlike standard bounding boxes, oriented boxes can more accurately represent rotated or angled objects, significantly improving detection and tracking performance. This added information is especially beneficial in object tracking and movement prediction tasks in dynamic environments such as urban traffic monitoring, maritime surveillance, and aerial reconnaissance. With this advanced capability, you can enhance your dataset's precision and enable more intelligent AI behavior.
Video Tracking
Single- and multi-object tracking annotation is inherently difficult and time-consuming. The challenge intensifies when dealing with tiny objects in airborne and satellite imagery, where complex backgrounds, low resolution, shadows, and occlusions make accurate tracking extremely demanding. Recognizing this, Nazru has developed an advanced AI-powered annotation tool designed specifically to handle the precise tracking of very small objects-such as vehicles-even when Ground Sampling Distance (GSD) is significantly high. The system supports both orthorectified and registered data, as well as raw imagery. With robust algorithms and intuitive interfaces, our tool simplifies complex tracking tasks while enhancing annotation accuracy, speed, and efficiency.
Why Vertix Robotics?
Why Vertix Robotics? Vertix Robotics stands out by addressing some of the most complex challenges in remote sensing annotation, including the accurate tracking of tiny, fast-moving objects in low-resolution and high-GSD imagery. Our proprietary AI-powered tools, like those developed under the Vertix Robotics framework, are built for precision and efficiency-empowering you to annotate at scale without sacrificing quality. Whether working with raw or orthorectified data, Vertix ensures a streamlined, secure, and high-performance annotation pipeline. With a deep commitment to innovation and reliability, we help you produce the high-quality training data needed to develop robust, real-world AI tracking systems.
HD Mapping
HD maps are essential for a wide range of applications, including autonomous driving, urban planning, and infrastructure management. Until recently, these maps were created exclusively by expensive mobile mapping vehicles. However, with the dedicated and innovative annotation tool developed by Nazru, HD mapping projects can now efficiently achieve their primary objectives. This advanced tool streamlines the annotation process, reduces costs, and improves accuracy, enabling faster deployment of high-definition maps across diverse environments and use cases.
AI-Powered Remote Sensing Annotation Solutions by Vertix Robotics
Vertix Robotics Remote Sensing Services Vertix Robotics delivers high-quality, AI-powered annotation solutions for remote sensing applications using drone, aerial, and satellite imagery. Supporting formats like optical, SAR, DSM, and thermal, Vertix handles tasks such as object tracking, semantic segmentation, and HD mapping with precision. Our scalable infrastructure, advanced tools, and expert team ensure fast, secure, and consistent labeling-empowering organizations to build accurate, large-scale datasets essential for Earth Observation and AI development.
