Sensevis

Sensevis is a Capstone project from the MSIB Bangkit Academy, designed for efficient solar panel detection. It combines a user-friendly website with advanced Artificial Intelligence (AI) capabilities. 💡

Project Workflow 🗺️

1. Location Input: Users input or select a location on the website. The Google Maps API determines precise geographical coordinates (latitude and longitude). 📍
2. Data Acquisition: The backend receives coordinates and interacts with Google Earth Engine (GEE). GEE fetches high-resolution Sentinel-2 satellite imagery in TIFF format, covering the specified area. 🛰️
3. AI Analysis: Raw satellite data undergoes pre-processing for a YOLO (You Only Look Once) model. The AI then identifies, locates, and accurately counts solar panels within the area. 🤖

Sensevis delivers a powerful analytical tool for solar energy mapping by leveraging geospatial technology and computer vision. ⚡