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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.
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