Security Enhancement of Littoral Combat Ship Class Utilizing an Autonomous Mustering and Pier Monitoring System

Abstract

Littoral Combat Ships (LCS) are designed and built to have minimum crew sizes thus, while the ship is in port, there are fewer crewmembers to facilitate pier monitoring, security, and conducting mustering of personnel. The crew of LCS ships presently have too many responsibilities to ensure 100% coverage of the Pier area 100% of the time, and cannot manually maintain a real time muster of all ships personnel. This lack of coverage and situational awareness could make LCS ships vulnerable to terrorist attacks or terrorist monitoring. This thesis addresses the capability gap for complete and automated personnel mustering and situational awareness in the pier area for LCS class ships. Through applying the Systems Engineering process, the concept, external systems diagram, requirements, and functional architectures for a generic solution are proposed. The proposed solution is an autonomous system utilizing facial recognition software to maintain a muster of the ship's crew, while in parallel monitoring the pier area, looking for any known person of interest (e.g., terrorists) and providing appropriate alerts. Additionally, this thesis provides a demonstrable proof-of-concept prototype system solution, named Pier Watchman. Its instantiated physical architecture of a specific autonomous solution to pier monitoring and personnel mustering is provided.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2010
Accession Number
ADA518711

Entities

People

  • Philip N. Stubblefield

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Autonomous Systems
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Engineering
  • Engineers
  • Facial Recognition
  • Identification
  • Image Processing
  • Littoral Combat Ships
  • Local Area Networks
  • Operating Systems
  • Software Development
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Military Mobilization and Reserve Forces Studies.
  • Naval Mine Countermeasure Systems Development.

Technology Areas

  • Autonomy
  • Autonomy - UAVs