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Problem Statement: The widespread use of UAVs (drones) poses security risks, particularly in high-security zones like airports, military bases, and prisons. Unauthorized UAV flights threaten airspace safety, and due to their small size, low altitude, and low speed, real-time detection remains a major challenge. Solution: Develop an AI-powered UAV surveillance system that integrates RF scanning, acoustic sensors, and thermal imaging for real-time detection, identification, localization, and neutralization of unauthorized UAVs. Key Features: Multi-Sensor Integration: RF Scanning: Detects UAV controller signals and communication links. Acoustic Sensors: Identifies drones based on propeller noise signatures. Thermal Imaging: Recognizes heat emissions from UAVs, especially in low-visibility conditions. AI-Driven Analysis: Machine Learning (ML) algorithms trained on UAV signatures enhance detection accuracy. AI models improve sensitivity by cross-referencing multiple sensor inputs. Automatic classification of UAV types and potential threat levels. Localization & Tracking: Determines the distance and direction of arrival (DoA) of UAVs. Provides real-time positioning for security response teams. Neutralization Mechanism (Future Scope): Potential jamming or controlled interception of non-cooperative UAVs. Market & Applications: Airports & Aviation: Prevents drone-related airspace intrusions. Military & Defense: Enhances border and base security. Critical Infrastructure: Safeguards power plants, government buildings, and prisons. Private Security & Events: Protects high-profile gatherings from rogue drones. Business Model: Hardware Sales: Selling AI-driven UAV detection systems to security agencies. Subscription-Based Software: Cloud-based AI/ML model updates and analytics. Consulting & Integration Services: Custom deployment for specific industries. This innovation will revolutionize UAV security by combining AI with multi-sensor intelligence, ensuring real-time UAV detection and response in critical airspace.

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Entity Type
Private Limited Company
Sectors
Artificial Intelligence & Machine Learning
Startup Stage
Prototype

Startup Teams

  • 1 Dr. Manoj Kumar Meshram (Director)
  • 2 Atul Kumar (Director)
  • 3 Pratima Walde (Director)
  • 4 Pratyush Meshram (Director)

Incubation Details

  • Incubator Name
    Ideation Innovation & Incubation (I-3) Foundation
  • Incubator Host Institution
    Indian Institute of Technology (Banaras Hindu University) Varanasi
  • State
    Uttar Pradesh
  • City
    Varanasi

Approved Incentive

Not Available

Year of Establishment2023

Location

State
Uttar Pradesh
Disctrict
Varanasi
Pincode
221011