Though the smart vehicles these days come prepared with advanced features like the anti-theft alarm, wheel lock or an engine immobilizer, empirically they have not been able to effectively solve the problem of car thefts.
With connected car data, the vehicle owners, law enforcers, insurance companies and OEMs can use real time information about ignition status, location, door lock and unlock system etc to pre-empt any potential vehicle safety hazard or car thefts and can take immediate measures to locate or restore the stolen vehicles. Here is how they can use vehicle data to prevent car theft –
Vehicle Owners – With vehicle data, the vehicle owners can monitor any activity on their vehicles from any location even if distant. They can track and communicate with their smart cars with the help of connected car data even while sitting in their offices or in the comfort of their homes. In case of a potential theft threat, with the help of connected car data, the car owners can put the ignition lock to protect the vehicle or they can immediately inform the police law enforcers and help them with real-time location and other information to trace the vehicle.
Law Enforcers – With the help of real-time location, the police authorities can take immediate action to trace and restore the stolen vehicle. As preventive measures, the police can use vehicle data to identify theft-prone places and time zones to deploy officers accordingly.
Insurance Companies–The insurance companies can also monitor the insured vehicles from any potential theft with the help of real-time alerts. In case someone opens the car door, or a forced entry is detected – a notification is triggered to the owner and the Insurer. The insurer can then immediately cross-check the activity with the owner or directly inform the police. These preventive measures will help the insurance companies save time and money that they would have to put in the processing of theft claims, in case the robbery had taken place.
OEMs –The OEMs can use the connected car data to assess and improve the safety features in the vehicles for its protection from potential thefts, robbery or any such situation. They can rely on the connected car data to get the required feedback on the performance of such features directly from the users which can also help them to understand the requirement of the drivers to come up with new features.
CerebrumX’s ADLP addresses the challenges related to the safety and security of both the drivers and the vehicles with the help of connected car data and enables automotive OEMs and ecosystem partners to build next-generation applications by gathering data from vehicle sensors and augmenting it with real-world data.