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Automotive IoT: Smarter Vehicles, Optimised Car Manufacturing

Automotive IoT: Smarter Vehicles, Optimised Car Manufacturing

Automotive IoT refers to a complex system of devices (e.g., sensors, cameras, GPS trackers) that are connected to the cloud and provide real-time data that enables optimization of the car manufacturing process as well as more efficient transport management. IoT solutions turn vehicles into smart means of transportation that leverage predictive maintenance, direct car-to-car interaction, AI-powered driving assistance, and other advanced features to offer enhanced road safety and driving efficiency to individuals and businesses alike. Car manufacturers also use IoT to automate production processes, reduce the likelihood of human error, and enhance quality control.

Benefits of using IoT in the automotive industry

Clear picture of the manufacturing floor. Industrial IoT solutions are able to collect massive amounts of data at production sites. Real-time processing and analysis of such data helps car manufacturers improve the understanding of and optimize the entire production process, introduce higher safety standards, and reduce losses. If you want to see how industrial IoT solutions work in practice, check out ScienceSoft’s interactive smart factory demo.

Enhanced in-vehicle experience. Users can now enjoy a range of in-vehicle infotainment systems, navigation solutions, telematics, driver assistance systems, etc. that add comfort and efficiency to car ownership.

Safer roads for drivers and pedestrians. IoT-enabled safety systems such as object recognition, pedestrian and lane detection, automatic braking systems, etc. offer driving assistance to reduce human errors and make vehicles safer for everyone.

Remote access to vehicle info. Users can easily get relevant information about their cars, such as fuel level or location in a parking lot, remotely via a mobile app, which saves time and enhances driver experience.

Improved car maintenance. The data collected from IoT sensors installed in vehicles can be analysed to detect pre-failure car conditions, prompting users to take preventive measures in order to avoid malfunctions and reduce the cost of car maintenance.



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