The Adaptation of License-plate Readers for Investigative Purposes: Police Technology and Innovation Re-invention

2017 ◽  
Vol 35 (4) ◽  
pp. 614-638 ◽  
Author(s):  
James J. Willis ◽  
Christopher Koper ◽  
Cynthia Lum
2017 ◽  
Vol 8 (3) ◽  
pp. 360-368 ◽  
Author(s):  
Jillian B. Carr

Law enforcement agencies are adopting a variety of new surveillance technologies at a fast pace. These technologies could have substantial benefits in terms of public safety, but, for many of them, their ability to reduce crime is unknown. Although a small experimental literature addresses some of these technologies, many of the implementations have been too small to provide an accurate measurement of their potential. In this paper, I explore the advantages and make general suggestions about the use of quasi-experimental methodologies in estimating the public safety benefits of police technology. I also consider the specific case of license plate readers and provide some examples of difference-in-differences approaches that could be used to study their efficacy.


2019 ◽  
Vol 15 (4) ◽  
pp. 641-650
Author(s):  
Christopher S. Koper ◽  
Bruce G. Taylor ◽  
Sangjun Park

2020 ◽  
Vol 7 (2) ◽  
pp. 107-114
Author(s):  
Kimberly Barsamian Kahn ◽  
Karin D. Martin

Police killings of unarmed African Americans, such as George Floyd in 2020, continue to cause nationwide protests and calls for change. Psychological science knows much about biased policing and can inform policy to promote equitable policing. Social psychology’s extensive findings on stereotyping, attitudes, and intergroup relations help clarify the role of officer racial bias. This article reviews implicit and explicit bias, race-crime stereotypes, intragroup bias, ingroup favoritism, stereotype threat, and dehumanization in policing interactions, all of which can lead to racially disparate use of force. Based on this science, some policy responses can mitigate bias: Officer level de-biasing training, body-worn cameras, automatic license plate readers, and federal policing reform legislation are discussed. The lack of a coordinated, national effort to collect and analyze police use of force data undermines tracking fatal incidents and bias therein, which are therefore harder to remediate.


1991 ◽  
Author(s):  
Sadao Takaba ◽  
Takeshi Morita ◽  
Takashi Hada ◽  
Tsutomu Usami ◽  
Morie Yamaguchi

Author(s):  
Rajeev Gupta ◽  
Jon D. Fricker ◽  
David P. Moffett

Video license plate surveys have been used for more than a decade in Indiana to help produce origin-destination tables in corridors and small areas. In video license plate surveys, license plate images are captured on videotape for data reduction at the analyst’s office. In most cases, the letters and numbers on a license plate are manually transcribed to a data file. This manual process is tedious, time-consuming, and expensive. Although automated license plate readers are being implemented with success elsewhere, their dependence on high-end equipment makes them too expensive for most applications in Indiana. Presented are the results of an attempt to use standard video cameras and tapes, readily available video processing equipment, and open-source software to minimize the human role in the data reduction process and thus reduce the expenses involved. The process of automatically transcribing video data can be divided into subprocesses. Analog video data are digitized and stored on a computer hard disk. The resulting digital images are further processed, by using image-processing algorithms, to locate and extract the license plate and time stamp information. Character recognition techniques can then be applied to read the license plate number into an electronic file for the desired analysis. The described video license plate data reduction (VLPDR) software can identify video frames that contain vehicles and discard the remaining frames. VLPDR can locate and read the time stamps in most of these frames. Although VLPDR cannot read the license plate numbers into a data file, this final step is made easier by a user-friendly graphical user interface. VLPDR saves a significant amount of manual data reduction. The amount of labor saved depends on the parameters chosen by the user.


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