Geo system@ Rebels.ai

Best of AI masters gathered for a bright mission

Geographic information system rebels.ai

AI for cartographic data analysis

AI Map Processing System

The system processes data from satellites and unmanned aerial vehicles with the use of AI models.
Works with all main GIS* formats and data delivery services.

*geographic information system

Detection, identification and monitoring:

illegal logging
natural disasters
changes in the state of facilities (industrial, construction, agricultural)

Prediction and approximation:

pollutant concentration (greenhouse gases, suspended particles),
natural phenomena and disasters (wildfires, tsunamis, landslides, etc.)
damage caused by natural disasters
average UV radiation index and vegetation index

System application examples

Construction progress tracking

pavement
industrial facilities
lines of communications
construction camps

Monitoring of construction and installation works progresses according to plans, forecasting of deadlines. Coordination of construction works. Generation of a construction progress report from the platform interface

Detection of illegal logging in forests

Regular AI analysis of satellite imagery to track tree cover change over large areas
Correlation of detected deforestation with the registry of officially registered
Automatic calculation of the detected deforestation area

Environmental issues detection

Scanning rivers, water reservoirs or other objects of interest for environmental anomalies. Assessment of the state of landfills and the efforts of volunteers to clear river banks.

Fast response to environmental issues
Detection of waste dumps on river banks
Detection of landfill state changes
Estimation of the amount of waste
Possibility to connect an operator who checks the information before raising the "red flag"

Air pollutants level prediction

Assessment of air pollutants level using satellite data (CO2, NO2, SO2, etc.).

Prediction of air contaminants
Monitoring compliance with environmental standards
Applicable at any location (except indoors)
Detection and further monitoring of environmental anomalies

Segmentation of satellite images and UAV data

Segmentation of objects: roads, rivers, material accumulation zones
Create segmented maps quickly
Updating of maps of places of natural disasters, festivals, construction facilities.

Advantages

A collection of off-the-shelf ML algorithms for fast integration in your infrastructure

Flexible customization for any data array and customized ML customer models

The graphical operator interface and embedded widget of interactive maps allow you to quickly assemble the service

Expertise of the development team in processing data from satellites and drones

Map processing tasks

Classification - grouping of monitored objects by their common characteristics
Regression - prediction of target object variable, e.g. UV radiation index
Detection - automatic detection of the target object on the map
Segmentation - partitioning a digital image into multiple segments such that pixels with the same label share certain characteristics

Component features

Embeddable interactive widgets

Adaptive assessor and research interface customizable to customer needs

Works with a wide range of GIS formats

Pre-trained models for classification, detection, regression and segmentation

For further information feel free to contact us