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Camera as a Smart-Sensor (CaaSS)

This special issue belongs to the section “Intelligent Sensors“.

Special Issue Information

Dear Colleagues,

Digital camera technology has evolved over the past 3 decades to provide image and video quality of incredible quality, while, thanks to the mass market adoption of digital imaging technologies, the costs of image sensors and the associated optical systems and image signal processors continue to decrease. In parallel, advances in computational imaging and deep learning technologies have led to a new generation of advanced computer vision algorithms. New edge-AI technologies will enable these sophisticated algorithms to be integrated directly with the sensing and optical systems to enable a new generation of smart-vision sensors. An important aspect of such new sensors is that they can meet emerging needs to manage and curate data-privacy and can also help to reduce the energy requirements by eliminating the need to send large amounts of raw image and video data to data-centers for postprocessing and cloud-based storage.

This Topical Collection welcomes new research contributions and applied research on new synergies across these fields that enable a new generation of ‘Camera as a Smart Sensor’ technologies. Review articles that are well-aligned with this Topical Collection theme will also be considered.

Suitable topics can include:   

  • Novel combinations of commodity camera or image sensor technologies with edge-AI or embedded computational imaging algorithms;
  • Novel uses of camera or image sensors for new sensing applications;
  • Advanced deep learning techniques to enable new sensing with commodity camera or sensors;
  • New nonvisible sensing technologies that leverage advanced computational or edge-AI algorithms;
  • Optical design aspects of CaaSS;
  • Electronic design aspects of CaaSS, including new ISP hardware architectures;
  • CaaSS research targeted at privacy management or optimization of energy’
  • Large-scale deployments or novel products or commercial systems that leverage CaaSS in new use-cases or industry applications (e.g., smart city deployments, checkout-free shops, quality assurance and inspection lines, domestic service robotics).

Prof. Dr. Peter Corcoran
Prof. Dr. Saraju P. Mohanty
Collection Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

 
 

Keywords

  • Digital imaging
  • Digital camera
  • CMOS sensor
  • Embedded computer vision
  • Edge-AI
  • Camera as a Smart Sensor (CaaSS)

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Sensors - ISSN 1424-8220