TreeSight by Cactus - AI Solutions

03. SOLUTION

Creating a Height Calculation Algorithm

The solution we have designed consists on several software modules:

Satellite data collector: This module retrieves high-resolution satellite imagery from Pléiades. The imagery is preprocessed using orthorectification, ensuring accurate distance and spatial alignment by correcting for terrain distortions and satellite angles. This prepares the data for further analysis, ensuring that the vegetation and infrastructure can be accurately mapped and monitored.
A GIS dashboard: The GIS dashboard is a user-friendly interface that displays an interactive map highlighting electrical infrastructure. Users can click on specific zones to initiate the vegetation analysis process for that area.
NDVI Filter: We began by applying a Normalized Difference Vegetation Index (NDVI) filter to spot vegetation near the electrical infrastructure, ensuring that only relevant elements were processed.
CNN: A Convolutional Neural Network (CNN) was trained to detect vegetation and its shadow, enabling the system to identify both of them in satellite imagery with high accuracy.
Shadow Director Vector Calculator: We developed a shadow vector calculator to analyze the direction and length of shadows, allowing us to infer the relative position and height of the vegetation.
YOLO Model: A YOLO (You Only Look Once) model was integrated to detect each tree’s position. This creates instances of the segmentation, a similar result as if panoptic segmentation models had been used.
Height Estimator: Finally, we built a height estimator that combined the data from the CNN, YOLO model and shadow vector calculations to determine the precise height of vegetation, ensuring accurate remote monitoring.

The product is a Geospatial software platform that allows for real-time height calculations of vegetation, providing infrastructure managers with critical insights to improve safety and efficiency.

Creating Risk Detection Solutions Using Satellite Imagery

01. Intro

02. Challenge

03. Solution

04. Results

01. INTRO

Creating Risk Detection Solutions Using Satellite Imagery

02. CHALLENGE

Remote Decision-Making for Infrastructure Monitoring

03. SOLUTION

Creating a Height Calculation Algorithm

04. RESULT

Enhancing Safety through Data-Driven Monitoring Solutions

CONCLUSION

Innovating to Ensure Safety

Televic

Cardoen

Xandres