🔍 About Us: At UAV-Solar, we specialize in the innovative field of solar panel detection, with our flagship technology, UAV-Detection. 🌞 Our dedicated team of experts is at the forefront of developing and refining this groundbreaking platform for solar panel identification and analysis.
🪙 UAV-Detection: Our Pride: UAV-Detection is more than just a platform for solar panel detection; it's a testament to our commitment to excellence in UAV technology and renewable energy. We're passionate about offering a secure, efficient, and accessible platform for solar panel identification and analysis that stands out in the global market.
👩💻 Our Mission: Our mission is to revolutionize the solar energy landscape with UAV-Detection, making it a preferred choice for solar panel detection worldwide. We aim to empower users with a reliable, user-friendly platform for solar panel identification and analysis. 💡
🌱 Eco-Friendly Innovation: Innovation at UAV-Solar goes hand-in-hand with environmental responsibility. We are committed to sustainable practices in our development processes, ensuring that UAV-Detection not only leads the market in technology but also in eco-consciousness. 🌿
🤝 Community-Centric Approach: Our community is the cornerstone of our success. We believe in fostering a collaborative environment where feedback and open dialogue drive the evolution of UAV-Detection. Your voice helps us shape the future of our platform for solar panel detection. 🤗
🚀 Join Our Journey: We're on a thrilling journey with UAV-Detection, and we invite you to be a part of it. Whether you're a solar energy enthusiast, a potential investor, or someone curious about renewable energy, join us in shaping the future of solar panel detection. 💪
📬 Get in Touch: Have questions about UAV Inspection or want to know more? Reach out to us at [email protected] or visit our website phillweston.com and blog docs.phillweston.com. We're always here to help and collaborate.
Language: Markdown This repository contains the documentation for the Cloud API used in our UAV solar panel detection system. It is ideal for developers who want to integrate our platform with their applications.
Language: Vue This repository contains the main control terminal for our UAV solar panel detection system, implemented with a Proportional-Integral-Derivative (PID) control approach. It is designed for those who are interested in traditional control systems in UAVs.
Language: Java This is the Android application repository for controlling and monitoring our UAV solar panel detection system. This app is perfect for on-the-go adjustments and real-time data monitoring.
Language: Python This repository focuses on the automatic detection of faults in photovoltaic farms using thermal images. It is suited for those exploring advanced techniques in UAV-based solar panel inspection.
Language: Python This repository contains the code for visual inspection of photovoltaic panels using UAVs. It is ideal for those who want to implement and test vision-based detection strategies.
(Not Tested) psdk-el-camera 💻
Language: C This repository contains the code for integrating an electroluminescence camera with UAVs for solar panel inspection. It is ideal for those who want to enhance their UAVs with advanced imaging capabilities.
(Deprecated) DJI_MSDK_Development 💻
Language: Java This repository contains the development code for the DJI Mobile SDK, tailored for UAV solar panel detection applications. It is ideal for those who want to leverage DJI's SDK for custom UAV solutions.
This document outlines the technical requirements for the intelligent inspection software for photovoltaic panels. It provides insights into the software's functionalities and specifications.
