Top 10 Problem Statements with Solution Ideas for Smart India Hackathon 2024: Robotics and Drones

by Engineer's Planet
Top 10 Problem Statements with Solution Ideas for Smart India Hackathon 2024: Robotics and Drones

Introduction

The Smart India Hackathon 2024‘s (SIH 2024) Robotics and Drones theme invites participants to investigate creative ideas using robotics and drone technology to solve some of India’s most important problems. The top 10 project ideas under this theme are compiled below together with their descriptions, possible impacts, and categories.

Problem Statement TitleDescription & Potential ImpactAbstracts
1. Student Innovation (Hardware)Description: Design of drones and robots capable of addressing some of India’s urgent problems including handling medical crises, rescue and search operations, etc. is much needed.

Potential Impact: These developments might save lives, increase efficiency in emergency rescue operations, and offer vital support during crises.

Abstract
2. Drone-based Intelligent ET Sensing System and Irrigation Water Use Accounting SystemBackground: Although it has limits, the use of Earth Observation Satellite (EOS) techniques to estimate of seasonal Actual Evapotranspiration (AET) has been effectively established. This project intends to close these gaps by means of a drone-based ET system employing artificial intelligence and machine learning to estimate water consumption and offer information for farm-level water management.

Potential Impact: This approach can greatly raise agricultural water use efficiency, so optimizing resources and raising crop output.

Abstract
3. Student Innovation (Software)Description: Design of drones and robots capable of addressing some of India’s urgent problems including handling medical emergencies as well as rescue and search operations, etc. is much needed.

Potential Impact: These developments might save lives, increase efficiency in rescue and searching operations, and offer vital support during crises.

Abstract
4. Autonomous Water Surface Cleaning RobotDescription: Design a self-contained water surface cleaning robot with high efficiency capable of environmental protection free from human involvement. Lightweight, flexible, and enhanced using Industry 4.0 technologies including IoT and artificial intelligence the robot should be.

Potential Impact: This robotic device will automate the job of cleaning water surfaces, so improving the efficiency of the process and lowering human effort in environmental cleaning projects.

Abstract
5. Micro-Doppler Based Target ClassificationBackground: Effective technology is needed to identify and classify drones from other objects like birds since drone abuse calls for it. This work aims to precisely classify drones and non-drones using micro-Doppler signatures obtained from radar sensors.

Potential Impact: Through precise identification of drones, prevention of their use, and differentiation from birds and other objects, this technology will improve security.

Abstract
6. Online Monitoring of Unauthorized Construction Across the CityDescription: Use a drone-based system to instantly monitor illegal building across metropolitan areas. The system will include periodic drone surveys to locate and report prohibited structures.

Potential Impact: By offering a reasonably priced and effective way to keep an eye on illegal building activity, this solution will help to enhance urban planning and enforcement.

Abstract
7. Gamification for Rural Planning Using Drone Land Survey Maps and GIS DataBackground: This project intends to create a gamified experience using drone land survey maps and GIS data so enabling villagers/youth to prepare village development plans. The game will replicate road building, water drainage, and street lighting, so enabling users to create all-encompassing development plans.

Potential Impact: By including rural people in the development process, this instrument will empower them and enable more efficient local government and better use of resources.

Abstract
8. AI Model for Feature Identification/Extraction from Drone OrthophotosBackground: Land surveys of the SVAMITVA Scheme employ drone technology. This project aims to highly precisely identify important elements in orthophotos, including building footprints, roads, and water bodies, using artificial intelligence.

Potential Impact: Addressing property management, tax evaluations, rural development planning, and tax evaluations, this artificial intelligence model will raise the precision and efficiency of land surveys.

Abstract
9. Drone-Based Intelligent ET Sensing SystemDescription: Create a drone-based system using ET sensors to project crop actual water consumption in irrigated fields. Integration of artificial intelligence and machine learning should help the system improve the accuracy and dependability of water use estimate.

Potential Impact: This system will enable agricultural water use to be maximized, so enhancing water management techniques and raising crop yields.

Abstract
10. Development and Optimization of AI Model for Feature Identification/Extraction from Drone OrthophotosDescription: The project aims to create highly precise AI models able to recognize important elements in orthophotos, including roads, water bodies, and building footprints. The model ought to be refined for effective implementation inside the systems of the Ministry of Panchayati Raj.

Potential Impact: This artificial intelligence model will improve the accuracy of land assessments and support the planning of rural development, so improving resource management and more efficient government.

Abstract

Conclusion:

SIH 2024’s Robotics and Drones theme provides a stage for inventors to develop ideas tackling important problems in many different fields. These problem statements offer a glimpse of how automation and drone technologies could revolutionize sectors and raise Indian quality of living.

Call to Action:

These concepts inspire me. Investigate these problem statements more, assemble your team, and attend SIH 2024 to create innovative ideas that have impact!

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