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A Time-Efficient Path Navigating Landmine Detection Robot

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The goal of a landmine detection robot is to map the remaining area on a visual map with millimeter precision after covering as much ground as it can show landmines. The prototype land mine detection robot model described in this study offers a visual interface for mapping landmines, modifying PIDs, and aligning cameras. It is also reasonably powerful, accurate, and easy to operate with other sensors. The manual, semi-auto, and auto modes of controlling the differential drive robot are emphasized. Image processing determines the exact location of the robot and provides live reckoning feedback to its dead reckoning servo control. A beat metal detector is a kind of quiet sensor used to locate landmines. The overall objective of the system is to provide the user with something robust, affordable, and easily comprehensible for the user.

    Original languageEnglish
    Title of host publication2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2024
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9798350379525
    DOIs
    Publication statusPublished - 2024
    Event2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2024 - Gwalior, India
    Duration: 07-12-202408-12-2024

    Publication series

    Name2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2024

    Conference

    Conference2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2024
    Country/TerritoryIndia
    CityGwalior
    Period07-12-2408-12-24

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Signal Processing
    • Instrumentation

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