Case Study

A leading technology and Mobility Solutions service provider in India successfully achieves real-time monitoring and analysis.

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Industry 

Technology and service provider

Expertise

AWS IoT Core, AWS IoT Greengrass, Amazon S3, AWS IoT Analytics, AWS IoT Events, Amazon DynamoDB, Amazon EC2

Offerings/Solutions 

Collect, stream, log and analyze OBD II data using Raspberry Pi with offline sync and local alerting on a Highly Available computer layer

About the Client

Robert Bosch provides technology and services in various sectors and has a large development center in India for engineering and technology solutions, including several connected IoT solutions for automobiles and mechanical systems.

Highlights

Analysis of Data sourced from 500+ vehicles in Realtime

Report generation in less than 1 hour

Highly available trigger notification enabled

The Challenge

The project demanded real-time monitoring, scaling of the ingestion layer to handle up to 500+ linked automobiles, management of offline data logging, live event detection, a user database, and an Android app for administration and user interface. 

Solutions

  • Deploy Raspberry Pi with OBD Bluetooth adaptor to collect car data using OBD II Protocol on the Fog layer. 
  • Use MQTT to stream all data and enable offline sync. 
  • Enable driver identification with voice recognition and profile creation. 
  • Stream and sync data with IoT Green Grass, log in S3. 
  • Enable local alerts for over speeding with Green Grass integration. 
  • Build HA compute layer with 8+ EC2 instances, Load Balancer, and DynamoDB for driver session analysis and Lead foot detection. 
  • Ensure cloud ingestion layer is highly available and scalable for 500+ cars. 

The Results

CloudThat successfully implemented edge device for 500+ cars with live data and 99.9% availability and report generation in less than 1 hour. 

Download the Case Study

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