Can Officers Confidently Query State Vanity Plates & Account for License Plate Reader Inaccuracies?

This research explored whether Massachusetts police officers in Hampden County struggle to query state vanity plates through their mobile data terminals. When officers fail to attain a valid query response from their electronic inquiries, they cannot positively identify any pertinent data relating to a target vehicle. Consequently, the obstacles tied to this potential problem could provide criminals with an insulative layer of anonymity that shelters them from detection. This study employed a cross-sectional quantitative approach that sampled 164 police officers with traffic enforcement duties across Hampden County, MA. The study asked officers to answer a scalable questionnaire concerning their confidence in running images of four conventional motor vehicle plates and four specialty plates. Participants were given a five-point Likert scale under eight license plate images to gauge their confidence in querying them with a single attempt in 2024. The confidence ratings tied to both plate groups were paired with several descriptive statistics and analyzed against one another through a Related-Samples Wilcoxon Signed-Rank Test to determine any discernable dip in police officer-related confidence. This research complements other automated license plate reading literature as police must safeguard the public against these slightly inaccurate tools through the overlooked process of police verification. Once the plate characters on a license plate have been identified, the police must input them into a state registry database to secure a successful plate query. When police lack the confidence to translate unconventional plate orientations, configurations, and character combinations through a state database, then criminal actors can slip through the cracks. In this sense, officers who fail to verify or successfully query specialty plates cannot verify warrant hits, investigate vehicles of interest, validate insurance statuses, gang affiliations, weapon permits, or stolen vehicle statuses.