Blar i forfatter "Patil, Ravindra Rajaram"

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    • AI-Driven High-Precision Model for Blockage Detection in Urban Wastewater Systems 

      Patil, Ravindra Rajaram; Calay, Rajnish K; Mustafa, Mohamad; Ansari, Saniya (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-26)
      In artificial intelligence (AI), computer vision consists of intelligent models to interpret and recognize the visual world, similar to human vision. This technology relies on a synergy of extensive data and human expertise, meticulously structured to yield accurate results. Tackling the intricate task of locating and resolving blockages within sewer systems is a significant challenge due to their ...

    • Enhancing AI Systems through Representative Dataset, Transfer Learning, and Embedded Vision 

      Patil, Ravindra Rajaram (Doctoral thesis; Doktorgradsavhandling, 2024-02-28)
      <p>Artificial intelligence (AI) encompasses a range of techniques that enable machines to perceive, learn, and make intelligent decisions and it has emerged as transformative technology in many applications. This thesis presents the development of an AI model, focusing on the significance of the primary representative dataset and the effectiveness of transfer learning and fine-tuning techniques for ...

    • Review of the State-of-the-art Sewer Monitoring and Maintenance Systems Pune Municipal Corporation - A Case Study 

      Patil, Ravindra Rajaram; Ansari, Saniya M.; Calay, Rajnish Kaur; Mustafa, Mohamad Y. (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-26)
      There is an increasing trend of using automated and robotic systems for the tasks that are hazardous or inconvenient and dirty for humans. Sewers maintenance and cleaning is such a task where robots are already being used for inspection of underground pipes for blockages and damage. This paper reviews the existing robotic systems and various platforms and algorithms along with their capabilities and ...

    • S-BIRD: A Novel Critical Multi-Class Imagery Dataset for Sewer Monitoring and Maintenance Systems 

      Patil, Ravindra Rajaram; Mustafa, Mohamad; Calay, Rajnish K; Ansari, Saniya M. (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-03-09)
      Computer vision in consideration of automated and robotic systems has come up as a steady and robust platform in sewer maintenance and cleaning tasks. The AI revolution has enhanced the ability of computer vision and is being used to detect problems with underground sewer pipes, such as blockages and damages. A large amount of appropriate, validated, and labeled imagery data is always a key ...