Evidence map›Paper›PMID 33445557›Full record

ReviewSensors (Basel, Switzerland)2021

CMOS Image Sensors in Surveillance System Applications.

Susrutha Babu Sukhavasi, Suparshya Babu Sukhavasi, Khaled Elleithy, Shakour Abuzneid, Abdelrahman Elleithy

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. A Hybrid Model for Driver Emotion Detection Using Feature Fusion Approach.International journal of environmental research and public health · 2022
    Article
  11. Deep Neural Network Approach for Pose, Illumination, and Occlusion Invariant Driver Emotion Detection.International journal of environmental research and public health · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Susrutha Babu SukhavasiDepartment of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT 06604, USA.ORCID 0000-0002-5325-4341
Suparshya Babu SukhavasiDepartment of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT 06604, USA.ORCID 0000-0001-9419-5133
Khaled ElleithyDepartment of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT 06604, USA.ORCID 0000-0001-9239-5035
Shakour AbuzneidDepartment of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT 06604, USA.ORCID 0000-0001-5416-0315
Abdelrahman ElleithyDepartment of Computer Science, William Paterson University, Wayne, NJ 07470, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent technology advances in CMOS image sensors (CIS) enable their utilization in the most demanding of surveillance fields, especially visual surveillance and intrusion detection in intelligent surveillance systems, aerial surveillance in war zones, Earth environmental surveillance by satellites in space monitoring, agricultural monitoring using wireless sensor networks and internet of things and driver assistance in automotive fields. This paper presents an overview of CMOS image sensor-based surveillance applications over the last decade by tabulating the design characteristics related to image quality such as resolution, frame rate, dynamic range, signal-to-noise ratio, and also processing technology. Different models of CMOS image sensors used in all applications have been surveyed and tabulated for every year and application.

Indexed as

CMOS image sensordynamic rangeframe rateresolutionsignal-to-noise ratiosurveillance systems

Identifiers

PMID33445557
PMCPMC7827463

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.