Imaging Sensors

  • Jung-Sup Um


In the previous chapter, we described the location sensor under the CPS spectrum and the integration concept of GPS and INS sensors. It is said that the imagery data obtained by human eye accounts for 90% of total information acquired from various human sensory organs such as ear, nose and tongue. As the animals evolve from lower level (e.g. insects) to higher grade (e.g human), the utilization of visual data becomes higher. Likewise, as the substitution of natural intelligence by artificial intelligence advances, the dependence on imagery data increases. The underlying principle in data acquisition for CPS systems is to select imaging sensor suitable for operational application based on customer requirements and intended information such as training AI (Artificial Intelligence). An imaging sensor is a sensor converting the variable electromagnetic radiation delivered from the target into signals that convey the information. In order to identify the sensing requirements desired by the CPS instruments such as drones and self-driving cars, the pros and cons of various imaging sensors should be identified and utilized properly. Subsequently this chapter presented advantages and values of low-cost drone photography for hyper-localized targets (e.g. structural cracks in the skeleton of a concrete building and human hand gesture in the street crosswalk) in comparison to the existing methods.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Jung-Sup Um
    • 1
  1. 1.Department of GeographyKyungpook National UniversityDaeguKorea (Republic of)

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