Abstract: The invention relates to an AI-driven drone system designed for autonomous navigation and communication in hazardous terrain monitoring. The system comprises one or more unmanned aerial vehicles (UAVs) equipped with a deep learning-based navigation module, a multi-sensor array for real-time hazard detection, and a self-healing mesh communication network. The drones operate collaboratively as a swarm, enabling dynamic path planning, decentralized decision-making, and fault-tolerant data transmission even in GPS-denied or communication-disrupted environments. The system is particularly suited for applications such as disaster response, industrial accident monitoring, and military reconnaissance, where human intervention is risky or infeasible. Accompanied Drawing [FIGS. 1-2]
Description:[001] The present invention relates generally to the field of unmanned aerial vehicles (UAVs), artificial intelligence (AI), and autonomous systems. More specifically, the invention pertains to an AI-driven drone system designed for real-time communication, navigation, and environmental monitoring in hazardous terrains. The system leverages intelligent path planning, mesh-based communication networks, and multi-modal sensing technologies to ensure effective operation in areas that are inaccessible, dangerous, or disrupted due to natural or man-made hazards.
BACKGROUND OF THE INVENTION
[002] Monitoring and surveying hazardous environments has always posed significant challenges due to the inherent risks involved in human access. Situations such as earthquakes, forest fires, nuclear accidents, landslides, and conflict zones present unpredictable conditions, physical instability, and exposure to harmful elements, making manual inspection extremely dangerous or impossible. The need for remote and reliable data co , Claims:1. An AI-driven drone system for hazardous terrain monitoring comprising:
a flight control unit,
an artificial intelligence module,
a multi-sensor array,
a mesh communication module, and
a power management subsystem,
wherein the drone autonomously navigates, detects hazards, and communicates real-time data in hazardous or inaccessible environments.
2. The system of claim 1, wherein the artificial intelligence module is configured to perform real-time path planning using deep reinforcement learning based on environmental data from onboard sensors.
3. The system of claim 1, wherein the multi-sensor array includes a combination of LiDAR, thermal imaging, gas detection sensors, and optical cameras to enable terrain mapping and hazard classification.
4. The system of claim 1, wherein the mesh communication module is configured to form a self-healing, ad-hoc network between multiple drones to relay data in the absence of direct line-of-sight communication with a base station.
5. The system of claim 1, wherein the A
| # | Name | Date |
|---|---|---|
| 1 | 202541074340-STATEMENT OF UNDERTAKING (FORM 3) [05-08-2025(online)].pdf | 2025-08-05 |
| 2 | 202541074340-REQUEST FOR EARLY PUBLICATION(FORM-9) [05-08-2025(online)].pdf | 2025-08-05 |
| 3 | 202541074340-FORM-9 [05-08-2025(online)].pdf | 2025-08-05 |
| 4 | 202541074340-FORM 1 [05-08-2025(online)].pdf | 2025-08-05 |
| 5 | 202541074340-DRAWINGS [05-08-2025(online)].pdf | 2025-08-05 |
| 6 | 202541074340-DECLARATION OF INVENTORSHIP (FORM 5) [05-08-2025(online)].pdf | 2025-08-05 |
| 7 | 202541074340-COMPLETE SPECIFICATION [05-08-2025(online)].pdf | 2025-08-05 |