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	<title>Definition:Automatic number plate recognition (ANPR) - Revision history</title>
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	<updated>2026-04-30T07:10:11Z</updated>
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		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<updated>2026-03-15T10:00:39Z</updated>

		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;📷 &amp;#039;&amp;#039;&amp;#039;Automatic number plate recognition (ANPR)&amp;#039;&amp;#039;&amp;#039; is an optical character recognition technology that captures and reads vehicle license plates in real time, and within the insurance industry it has become an increasingly valuable tool for [[Definition:Fraud detection | fraud detection]], [[Definition:Risk assessment | risk assessment]], and [[Definition:Motor insurance | motor insurance]] operations. Cameras mounted on roads, in parking facilities, at toll points, or on law-enforcement vehicles photograph passing plates and convert the images into machine-readable data, which can then be cross-referenced against databases of insured vehicles, stolen vehicles, or policies flagged for irregularities. In the United Kingdom, the Motor Insurance Database (MID) maintained by the [[Definition:Motor Insurers&amp;#039; Bureau (MIB) | Motor Insurers&amp;#039; Bureau]] is linked to ANPR infrastructure used by police to identify uninsured drivers — a model that has significantly reduced the rate of uninsured driving.&lt;br /&gt;
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⚙️ In practice, ANPR data flows into insurance workflows through several channels. Law enforcement agencies share aggregated data with industry bodies, enabling insurers to identify vehicles operating without valid [[Definition:Motor insurance | motor insurance]] and to support prosecutions. [[Definition:Claims handling | Claims investigators]] use ANPR records to verify that a vehicle was at a stated location at the time of an alleged accident, helping detect staged collisions and exaggerated [[Definition:Insurance claim | claims]]. [[Definition:Telematics | Telematics]]-equipped fleets and [[Definition:Usage-based insurance (UBI) | usage-based insurance]] programs sometimes integrate ANPR data to corroborate mileage declarations or route information. The technology also supports [[Definition:Underwriting | underwriting]] in commercial fleet insurance, where vehicle movement patterns inform risk profiles. Privacy regulations vary significantly across markets: the European Union&amp;#039;s General Data Protection Regulation (GDPR) imposes strict controls on how ANPR data is collected, stored, and shared, whereas regulatory frameworks in parts of Asia and the Middle East may permit broader use by insurers and government agencies.&lt;br /&gt;
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💡 The insurance industry&amp;#039;s interest in ANPR reflects a broader shift toward data-driven decision-making and automated verification processes. By providing objective, timestamped evidence of vehicle presence and movement, ANPR reduces reliance on policyholder self-reporting and creates a powerful deterrent against [[Definition:Insurance fraud | insurance fraud]]. For markets with high rates of uninsured motorists — a persistent challenge not only in the UK but also in parts of continental Europe, Latin America, and Southeast Asia — ANPR-linked enforcement programs have demonstrated measurable reductions in the uninsured population, which in turn lowers the cost of [[Definition:Uninsured motorist coverage | uninsured motorist]] pools borne by compliant policyholders. As [[Definition:Insurtech | insurtech]] firms continue to build real-time data ecosystems, ANPR is likely to become further embedded in automated claims triage and parametric motor products.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
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* [[Definition:Telematics]]&lt;br /&gt;
* [[Definition:Usage-based insurance (UBI)]]&lt;br /&gt;
* [[Definition:Motor insurance]]&lt;br /&gt;
* [[Definition:Insurance fraud]]&lt;br /&gt;
* [[Definition:Fraud detection]]&lt;br /&gt;
* [[Definition:Motor Insurers&amp;#039; Bureau (MIB)]]&lt;br /&gt;
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		<author><name>PlumBot</name></author>
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