Publications

Morales, Alfredo M.; Franco, David O.; Haroldsen, Brent L.; Ammerlahn, Heidi R.; Moen, Christopher D.; Smith, Paul M.; Phelan, James M.; Speed, Ann S.; Hilton, Nathan R.; Aldridge, Chris D.; Jortner, Jeffrey N.

Abstract not provided.

Aldridge, Chris D.

Mobile biometric devices (MBDs) capable of both enrolling individuals in databases and performing identification checks of subjects in the field are seen as an important capability for military, law enforcement, and homeland security operations. The technology is advancing rapidly. The Department of Homeland Security Science and Technology Directorate through an Interagency Agreement with Sandia sponsored a series of pilot projects to obtain information for the first responder law enforcement community on further identification of requirements for mobile biometric device technology. Working with 62 different jurisdictions, including components of the Department of Homeland Security, Sandia delivered a series of reports on user operation of state-of-the-art mobile biometric devices. These reports included feedback information on MBD usage in both operational and exercise scenarios. The findings and conclusions of the project address both the limitations and possibilities of MBD technology to improve operations. Evidence of these possibilities can be found in the adoption of this technology by many agencies today and the cooperation of several law enforcement agencies in both participating in the pilot efforts and sharing of information about their own experiences in efforts undertaken separately.

Aldridge, Chris D.

In 2005, over 33% of all the vehicles reported stolen in the United States occurred in the four southwestern border states of California, Arizona, New Mexico, and Texas, which all have very high vehicle theft rates in comparison to the national average. This report describes the utilization of 'bait vehicles' and associated technologies in the context of motor vehicle theft along the southwest border of the U.S. More than 100 bait vehicles are estimated to be in use by individual agencies and auto theft task forces in the southwestern border states. The communications, tracking, mapping, and remote control technologies associated with bait vehicles provide law enforcement with an effective tool to obtain arrests in vehicle theft 'hot spots'. Recorded audio and video from inside the vehicle expedite judicial proceedings as offenders rarely contest the evidence presented. At the same time, law enforcement is very interested in upgrading bait vehicle technology through the use of live streaming video for enhanced officer safety and improved situational awareness. Bait vehicle effectiveness could be enhanced by dynamic analysis of motor theft trends through exploitation of geospatial, timeline, and other analytical tools to better inform very near-term operational decisions, including the selection of particular vehicle types. This 'information-led' capability would especially benefit from more precise and timely information on the location of vehicles stolen in the United States and found in Mexico. Introducing Automated License Plate Reading (ALPR) technology to collect information associated with stolen motor vehicles driven into Mexico could enhance bait vehicle effectiveness.