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Supply Chain, Transportation & Logistics


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CES

A Preview of Bosch’s IoT Projects on Display at CES 2019

From driverless shuttles to smartphone-based vehicle keys, Bosch plans to show off an array of IoT projects at the CES 2019 exposition in Las Vegas.
  • Written by Brian Buntz
  • 17th December 2018

4. A System to Avert Motorcycle Accidents

The number of fatal accidents involving motorcycles is more than five times higher than for cars, based on U.S. National Highway Traffic Safety Administration data from 2006.

To help make motorcycles safer, Bosch is developing advanced rider assistance systems that offer a range of safety-focused features including blind-spot detection and collision warning capabilities. At the heart of the system is a radar-based assistance system. According to Bosch Accident Research from 2018, one in seven motorcycle accidents could be prevented using such radar-based technology.

The award-winning rider-assistance system for motorcycles enables a rider to visualize the vehicle’s surroundings while also offering adaptive cruise control. In addition to radar sensor technology, the assistant also involves the motorcycle’s brake system, engine management and a human-machine interface.  

5. E-Scooter App

Bosch has created an app for electric scooters that captures information such as the vehicle’s battery charge as well as enable riders to connect with nearby friends via social networks. The app can also interact with a connected helmet holder located on the e-scooter’s handlebar. The system allows the helmet to be securely stored when the vehicle is parked while also offering protection against theft and vandalism.

6. Phantom Software for Energy Monitoring
Bosch has developed an energy monitoring system that gathers individual power signatures, enabling small- and medium-sized organizations and homeowners to keep tabs on how much energy their devices are using. The system uses a patented machine-learning algorithm that studies voltage and power signatures every 10 milliseconds to identify individual assets. In addition to monitoring energy consumption, the software can detect potentially-dangerous anomalies. The algorithm can also identify the source of the power in use.

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Tags: Supply Chain, Transportation & Logistics Features

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