International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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RAY:-Underwater Robot for Environmental Safety and Monitoring

Author(s) Akhil Vinod V, Archa R, Vinaya V S, Swetha P R, Reshmi Krishna Prasad
Country India
Abstract In recent years, the demand for advanced human detection technologies has surged, driven by applications
in security, search and rescue operations, and human-robot interaction. This paper presents an innovative
approach to human detection using multiple sensor modalities, including infrared (IR), ultrasonic, and
visual imaging, integrated into a mobile robotic platform. The proposed system aims to enhance detection
accuracy, reduce false positives and improve response times in diverse environments.
The robot is equipped with an array of sensors: infrared sensors detect heat signatures, ultrasonic sensors
measure distance through sound waves, and visual cameras provide real-time image processing
capabilities. The fusion of these data sources is achieved through a multi-layered machine learning
algorithm, allowing the robot to make informed decisions based on the contextual information it gathers.
This approach not only enhances the robot's ability to detect humans in various conditions such as low
light or obstructed views but also enables adaptive learning, allowing the system to improve its accuracy
over time through exposure to diverse scenarios. Testing in real-world environments demonstrates the
effectiveness of the multi-sensor framework. Results indicate a significant reduction in false detection
rates compared to single-sensor systems, highlighting the robustness of the approach. The implementation
of this multi-sensor human detection robot has the potential to transform applications in surveillance,
safety monitoring, and autonomous assistance, paving the way for more intelligent and responsive robotic
systems in the future.
Field Engineering
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-31
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.34339
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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