A Comprehensive Review on Computer Vision and Fuzzy Logic in Forensic Science Application

Thakkar, Prarthi; Patel, Darshil; Hirpara, Isha; Jagani, Jinesh; Patel, Smit; Shah, Manan; Kshirsagar, Ameya

doi:10.1007/s40745-022-00408-6

Cited by 4 publications

(2 citation statements)

References 91 publications

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“…Video enhancement [53] Image/video deblurring [54] Education Cheating prevention (S) [55] Engineering Importing real life objects into modeling software [56] Food service Reduce food waste in restaurants (M) [57] Robotic food delivery https://starship.xyz/, accessed on 15 July 2023 Gaming Xbox Kinect [58] Gesture based gaming [59] Government Control traffic lights [60] Detecting natural disasters (M) [61] Insurance Insurance appraisals [10,62,63] Law enforcement Forensic analysis [64] Facial recognition in large crowds (S) [65] Identity verification (S) [66] Detect dangerous situations (S) [67] Speeding enforcement [14] Manufacturing Defective products on an assembly line [68] Manufacturing Workplace inspection [69] Medical See Table 3 Military Terrain Reconnaissance (S) [70] Automate military drones [71] Movie Film movie restoration […”

Section: Digital Designmentioning

confidence: 99%

Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings

Lindroth,

Nalaie,

Raghu

et al. 2024

J. Imaging

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Computer vision (CV), a type of artificial intelligence (AI) that uses digital videos or a sequence of images to recognize content, has been used extensively across industries in recent years. However, in the healthcare industry, its applications are limited by factors like privacy, safety, and ethical concerns. Despite this, CV has the potential to improve patient monitoring, and system efficiencies, while reducing workload. In contrast to previous reviews, we focus on the end-user applications of CV. First, we briefly review and categorize CV applications in other industries (job enhancement, surveillance and monitoring, automation, and augmented reality). We then review the developments of CV in the hospital setting, outpatient, and community settings. The recent advances in monitoring delirium, pain and sedation, patient deterioration, mechanical ventilation, mobility, patient safety, surgical applications, quantification of workload in the hospital, and monitoring for patient events outside the hospital are highlighted. To identify opportunities for future applications, we also completed journey mapping at different system levels. Lastly, we discuss the privacy, safety, and ethical considerations associated with CV and outline processes in algorithm development and testing that limit CV expansion in healthcare. This comprehensive review highlights CV applications and ideas for its expanded use in healthcare.

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Section: Digital Designmentioning

confidence: 99%

Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings

Lindroth,

Nalaie,

Raghu

et al. 2024

J. Imaging

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“…Reconstruction in crime scenes took different shapes, such as the simulation approach, which involves creating the scene using computer graphics with the aid of game engines to be displayed using VR kit [4]. Other studies reconstructed crime scenes by integrating multiple technologies such as 3D animated graphics, motion tracking, natural language processing and computer vision to visualise the crime in courtrooms using VR kits [42]. More recent attempts to reconstruct pictures of crimes in transports using AR tags for the sake of forensic training [33].…”

Section: B 3d Reconstructionmentioning

confidence: 99%

Seamless Crime Scene Reconstruction in Mixed Reality for Investigation Training: A Design and Evaluation Study

Albeedan,

Kolivand,

Hammady

et al. 2024

IEEE Trans. Learning Technol.

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Investigation training in the real crime scene is a critical component of forensic science education. However, bringing young investigators to real crime scenes is costly and faces significant challenges. Mixed Reality (MR) is one of the most evolving technologies that provide unlimited possibilities for practical activities in the education sector. This paper aims to propose and evaluate a novel design of an MR system using Microsoft HoloLens 2.0 and it is tailored to work in a spatial 3D scanned and reconstructed crime scene. The system was designed to be a costly-effective experience that helps young Kuwait police officers to enhance their investigation skills. The proposed system has been evaluated through system usability, user interaction and performance metrics quantitatively via 44 young police officers, and qualitatively using the Think-aloud protocols via a group of experts. Both groups showed positive levels of usability, user interaction and overall satisfaction with minimal negative feedback. Based on the positive feedback, the system will be taken into the commercialisation stage in the future. Despite the high cost of the MR device, it was stated by experts that the system is needed to be provided as an essential tool for crime scene education and investigation practices.

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Application and Technical Analysis of Computer Vision Technology in Natural Resource Survey

Wang¹,

Luo²

2023

Lecture Notes in Electrical Engineering

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A Comprehensive Review on Computer Vision and Fuzzy Logic in Forensic Science Application

Cited by 4 publications

References 91 publications

Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings

Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings

Seamless Crime Scene Reconstruction in Mixed Reality for Investigation Training: A Design and Evaluation Study

Application and Technical Analysis of Computer Vision Technology in Natural Resource Survey

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