Submitted by admin on Thu, 08/18/2022 - 01:11

Poor driver safety

Sequence Number 4 Industry Logistics Banner Poor driver safety How 5G enabled

Use of onboard dashcams and vehicle telematics to monitor driver behaviour in real-time and trigger alerts immediately once any abnormal behaviour is detected.

Data Flows
Title Devices Icon Devices Description
  • Sensors (cameras, etc.) installed within the truck to monitor driver's behaviour
  • Other sensors keep track of speed, driving etc., possibly from standard sensors already in the truck
Title Connectivity Icon Connectivity Description
  • All data collected to be transmitted to cloud
  • Critical data and AI processing at the Edge compute
Title Edge Compute Icon Edge Compute Description
  • Located within vehicle
  • Most of the data collected will be processed in real-time 🡪 Action in real-time as well
Title Cloud Compute & Storage Icon Cloud Compute & Storage Description
  • All data is stored in enterprise data storage, where data ownership belongs to the company
Title Applications & Services Icon Applications & Services Description
  • Refine detection models such as drowsiness, attention to the road, etc.
  • New models deployed back to Edge for real-time automated alerts
Title Inform Decision Makers Icon Inform Decision Makers Description
  • Alert operations only in the case of exceptions
Title Support Decision Making Icon Support Decision Making Description
  • End of process
Application Logic
Description
  • Most modern trucks collect tracking data, so additional sensors can be added to obtain a complete picture when needed.
  • High-definition camera video with 5G could allow better behavioural detection and real-time feedback loop while driving.
Description
  • Data required for real-time processing will be used at the Edge, all data to be collected in the enterprise storage.
  • Develop the AI (ML/MV) model based on all data gathered.
  • SME involvement working with data scientists is required to develop the models.
  • Modeling to expand on what is existing within current tracking solution.
Description
  • Better driver behaviour will allow goods to be delivered safely, reduce accidents and casualties, and improve staff welfare.
  • Models could be further improved to provide pre-emptive alerts to take possible actions (e.g., taking breaks when driving time exceeds limit, alert when entering high accident rate zones) with additional data such as weather forecasts, traffic conditions, and historical road incidents.
Expected benefits Key value created