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	<title>Definition:Dashcam - Revision history</title>
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	<updated>2026-06-15T03:24:52Z</updated>
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		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<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;Dashcam&amp;#039;&amp;#039;&amp;#039; is a vehicle-mounted camera — typically affixed to the windshield or dashboard — that continuously records video footage of the road ahead and, in many configurations, the vehicle interior and rear view. Within the [[Definition:Motor insurance | motor insurance]] industry, dashcams have evolved from a consumer electronics curiosity into a material factor in [[Definition:Underwriting | underwriting]], [[Definition:Claims management | claims handling]], and [[Definition:Fraud detection | fraud prevention]]. Several insurers across markets including the United Kingdom, Japan, South Korea, and the United States now explicitly recognize dashcam usage in their pricing models, offering [[Definition:Premium | premium]] discounts or integrating dashcam data into [[Definition:Usage-based insurance (UBI) | usage-based insurance]] and [[Definition:Telematics | telematics]] programs.&lt;br /&gt;
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🔍 When an accident occurs, dashcam footage can serve as near-objective evidence of how events unfolded — establishing fault, verifying the sequence of a collision, and corroborating or contradicting witness statements. This is particularly valuable in combating staged accident fraud, commonly known as &amp;quot;crash-for-cash&amp;quot; schemes, which cost motor insurers substantial sums annually in markets like the UK. Claims adjusters and [[Definition:Loss adjuster | loss adjusters]] increasingly request dashcam footage as part of the [[Definition:First notice of loss (FNOL) | first notice of loss]] process, and some [[Definition:Insurtech | insurtech]] firms have developed platforms that automatically upload and analyze dashcam video using [[Definition:Artificial intelligence (AI) | artificial intelligence]] to reconstruct incidents and assess damage severity. In fleet insurance, dashcams are often paired with [[Definition:Telematics | telematics]] devices to monitor driver behavior in real time, enabling [[Definition:Risk management | risk management]] interventions such as coaching alerts for harsh braking or distracted driving.&lt;br /&gt;
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🌐 The proliferation of dashcams is reshaping the information asymmetry that has traditionally characterized motor claims. Insurers benefit from faster, more accurate [[Definition:Liability | liability]] determination, which reduces [[Definition:Loss adjustment expense (LAE) | adjustment costs]] and accelerates [[Definition:Claim settlement | settlements]]. Policyholders benefit from protection against fraudulent claims and wrongful fault attribution. However, the rise of continuous in-vehicle recording also raises privacy and data-protection considerations, particularly in jurisdictions with stringent regulations such as the European Union&amp;#039;s General Data Protection Regulation (GDPR) or Japan&amp;#039;s Act on the Protection of Personal Information. Insurers incorporating dashcam data into their ecosystems must navigate these frameworks carefully, ensuring that data collection, storage, and use comply with local law while still extracting the [[Definition:Underwriting | underwriting]] and claims intelligence that makes the technology commercially compelling.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Telematics]]&lt;br /&gt;
* [[Definition:Usage-based insurance (UBI)]]&lt;br /&gt;
* [[Definition:Fraud detection]]&lt;br /&gt;
* [[Definition:Motor insurance]]&lt;br /&gt;
* [[Definition:First notice of loss (FNOL)]]&lt;br /&gt;
* [[Definition:Claims management]]&lt;br /&gt;
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