CCTV Operator Performance Benchmarking

Rankin, Sandra; Cohen, Noam A.; MacLennan-Brown, K.; Sage, Kingsley

doi:10.1109/ccst.2012.6393580

Cited by 11 publications

(5 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In their paper [7], the authors present a CCTV surveillance system designed to automatically detect gestures or signs of aggression and brutality in real-time. This system is made of two main modules, each serving a distinct purpose: a) Object Detection: The first module is focused on detecting objectionable objects like guns and knives.…”

Section: )mentioning

confidence: 99%

Theft Detection using Deep Learning

Shirole

2023

Preprint

View full text Add to dashboard Cite

In earlier times, crime detection relied solely onhuman observation, lacking efficient methods for detection. Theadvent of CCTV cameras marked a significant advancement incrime detection, but the manual review of video footage byhumans proved to be a time-consuming process. In presentworld, Artificial Intelligence (AI) and Machine Learning (ML)have made significant strides, the need for intelligent systems toautomate crime detection in CCTV surveillance has becomeparamount. Such systems can not only detect crimes but alsoclassify them and provide alerts to nearby police stations andambulances, thereby contributing to the reduction of crimerates in any given country. Object detection and tracking incomputer vision have gained widespread attention due to theirdiverse applications, including surveillance and securitysystems. Researchers have diligently worked to improve theaccuracy and efficiency of these processes. Our system aims toenhance security measures and facilitate swift responses topotential threats by employing real-time object detection on livevideo feeds. Furthermore, this system can be further optimizedthrough the integration of specialized hardware, ensuring evenmore robust and efficient crime detection capabilities.

show abstract

Section: )mentioning

confidence: 99%

Theft Detection using Deep Learning

Shirole

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Working conditions as described by some of the practitioners are problematic in terms of the occupational health of the operators (Laufs and Waseem, 2020) and can also constitute a threat to public safety and crime prevention if there are too many incidents for operators to respond to (Rankin et al, 2012). This is a known problem and has been identified in the literature previously (Keval and Sasse, 2010).…”

Section: Institutional and Organisational Requirements For Successful...mentioning

confidence: 99%

Technological innovation in policing and crime prevention: Practitioner perspectives from London

Laufs¹,

Borrion²

2021

International Journal of Police Science & Management

View full text Add to dashboard Cite

Digital technology now plays a critical role in policing and security management, with policing apps, drones and body-worn cameras potentially being game-changers. Adoption of such technologies is, however, not straightforward and depends upon the buy-in of senior management teams and users. This study examines what obstacles practitioners face in the procurement, deployment and use of crime prevention and detection technologies. The issue is explored through a number of expert interviews conducted with practitioners in London between August 2019 and March 2020. This work expands previous, more theoretical, literature on the topic by adding a practical perspective and advances the understanding of issues faced in innovation processes and their management. We identified a variety of issues and obstacles to technological innovation for policing. These include the deployment of new systems at the cost of old ones, lack of financial and political support, issues in public–private partnerships, and public acceptability. Although individual practitioners may have the expertise and willingness to unleash the full potential of surveillance and crime-reduction technologies, they are usually restrained by institutional rules or, in some cases, inefficiencies. In terms of the latter, this study especially highlights the negative impact of a lack of technical interoperability of different systems, missing inter- and intra-agency communication, and unclear guidelines and procedures.

show abstract

“…The amalgamation of knowledge, professional skills, and expertise that are adeptly mastered and applied within specific contexts [21]. In accordance with Brophy and Kiely [22] and Rankin [23], competencies encompass knowledge, values, skills, behaviors, and attitudes requisite for the successful execution of specific tasks, ranging from surgical procedures to the installation of household wiring.…”

Section: Introductionmentioning

confidence: 99%

Entrepreneurship Education: Examining Long-Term Effects of a Practical Program Implemented in Children

Reyes-Aceves,

Ramos-Lopez,

Mungaray-Lagarda

2023

Education Sciences

View full text Add to dashboard Cite

Entrepreneurship education (EE) plays a crucial role in equipping individuals with the necessary competences to thrive in an increasingly dynamic and competitive world. By fostering entrepreneurial competencies, recognizing individual abilities, and promoting innovation and creativity, EE contributes to personal growth, employability, and economic development. This document presents an analysis conducted on the entrepreneurial competencies (EC) of students in San Quintin, Baja California, Mexico, who have participated in a practical EE program over the past 5 years. To conduct the analysis, a questionnaire was administered to both a control group and an experimental group, and the data were captured in the SPSS V23 software for interpretation. The results demonstrate a significant correlation between EE programs and EC developed by the students in the experimental group. Therefore, it is recommended to promote and sustain such initiatives, aiming for their long-term continuity, strengthening, and growth.

show abstract

CCTV Operator Performance Benchmarking

Cited by 11 publications

References 1 publication

Theft Detection using Deep Learning

Theft Detection using Deep Learning

Technological innovation in policing and crime prevention: Practitioner perspectives from London

Entrepreneurship Education: Examining Long-Term Effects of a Practical Program Implemented in Children

Contact Info

Product

Resources

About