Skip to main content

CCTV technology aids fight against UK insurance fraud

An increasing number of UK commercial fleets are turning to in-vehicle technology for protection against the sharp rise of insurance fraud, according to CCTV vehicle company, Vision Unique Equipment (VUE). Latest figures from the Association of British Insurers reveal insurance fraud is at a record high, reaching US$2.18 billion in 2013, with US$1.3 billion of fraudulent claims attributed to car insurance. ‘Crash for cash’ car insurance scams were identified as the main contributor to a 34 per cent rise
June 9, 2014 Read time: 2 mins
An increasing number of UK commercial fleets are turning to in-vehicle technology for protection against the sharp rise of insurance fraud, according to CCTV vehicle company, 7795 Vision Unique Equipment (VUE).

Latest figures from the Association of British Insurers reveal insurance fraud is at a record high, reaching US$2.18 billion in 2013, with US$1.3 billion of fraudulent claims attributed to car insurance. ‘Crash for cash’ car insurance scams were identified as the main contributor to a 34 per cent rise on the number of false motoring claims.

Glen Mullins, managing director of VUE, said: “Insurers and fleet owners are increasingly looking to technology to tackle the escalating problem and many insurers now insist on CCTV in the fleets they insure. This has led to unprecedented levels of demand for in-vehicle CCTV, particularly from large commercial fleet owners who are often seen as easy targets for fraud.”

VUE has seen the number of commercial fleets using CCTV technology more than double.
He added: “Many crash for cash’ fraudsters have witnesses on hand to claim that the crash was the other driver’s fault, enabling them to make an insurance claim for the damage, as well as whiplash injuries. CCTV technology is the only way to prove what actually happened.

“Front and rear facing CCTV recording cameras allow insurance companies to challenge fraudulent claims and offer protection for drivers who could otherwise be blamed for non-fault accidents.

“CCTV technology from VUE is designed to record the events leading up to an accident and, crucially, the aftermath of a collision even with the engine switched off, can be used as court-admissible event. CCTV systems not only prove the cause of an accident but also record the speed at impact and how many people were involved.”

For more information on companies in this article

Related Content

  • Illuminated road studs aid roundabout safety
    July 15, 2014
    In a bid to improve safety at the Sheriffhall roundabout near Edinburgh, Scotland, Clearview Traffic has been working with BEAR Scotland on an innovative accident reduction project at the complex six-arm gyratory roundabout which is used by over 42,000 vehicles per day. The project, which Clearview says is the first of its kind in the UK, uses the company’s IRS2 intelligent hardwired road stud to increase driver awareness and improve lane discipline on and off the roundabout. Improvements and efficien
  • Partially automated cars ‘provide financial and safety benefits’
    July 19, 2016
    Carnegie Mellon College of Engineering researchers in the US have concluded that the public could derive economic and social benefits today if safety-oriented, partially automated vehicle technologies were deployed in all cars. The researchers examined forward collision warning, lane departure warning and blind spot monitoring systems. These technologies can include partially autonomous braking or controls to help vehicles avoid crashes. Chris T. Hendrickson, director of the Carnegie Mellon Traffic21 In
  • Zuora: MaaS comes to the masses
    April 28, 2020
    The shift from ownership to usership in the subscription economy provides opportunities for the whole of the mobility sector for the next decade and beyond, says John Phillips of Zuora
  • Esri maps cause and effect
    September 26, 2024
    The work of the Connecticut Transportation Safety Research Center means engineers can concentrate on developing more effective safety measures, rather than having to sort out raw crash data