Nov 29, 2022
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Service categories
Service Lines
IoT Development
Domain focus
Other
Transportation & Logistics
Programming language
CSS
HTML
PHP
Frameworks
Node.js
Challenge
The client, GPS fleet tracking company and logistics software provider, reached out to us with the task to develop an IoT-based vehicle tracking system based on existing proof-of-concept. It would use connected devices to provide the real-time operational updating of vehicle data — such as location, speed, fuel consumption, driving time, and video from cameras — through the CAN bus. The harvested data would be stored in a database and available for processing.
The client, GPS fleet tracking company and logistics software provider, reached out to us with the task to develop an IoT-based vehicle tracking system based on existing proof-of-concept. It would use connected devices to provide the real-time operational updating of vehicle data — such as location, speed, fuel consumption, driving time, and video from cameras — through the CAN bus. The harvested data would be stored in a database and available for processing.
Solution
First of all, we improved the integration capabilities of the client’s GPS fleet management solution using a Node.js-based IoT signal parser. This allowed us to dramatically increase the number of connected devices. Second, we optimized the backend code, which gave us a stable core for further development and feature implementation. Together, these two steps enabled us to implement the following IoT fleet tracking and management features: constant data transmission, reporting, data visualization, remote command processing.
First of all, we improved the integration capabilities of the client’s GPS fleet management solution using a Node.js-based IoT signal parser. This allowed us to dramatically increase the number of connected devices. Second, we optimized the backend code, which gave us a stable core for further development and feature implementation. Together, these two steps enabled us to implement the following IoT fleet tracking and management features: constant data transmission, reporting, data visualization, remote command processing.
Results
1. AWS-based architecture with powerful data storage and processing capabilities
2. Seamless integration with approximately 1000 IoT devices, including GPS trackers from different manufacturers
3. New features, such as video streaming from cameras or remote command processing
4. An increase in the number of trucks displayed on a map from 100 to 1000 objects
5. Smooth truck movements visualization in real-time — before we stepped in, the location of trucks on the map of the client’s GPS tracking app was updated only every 5-10 seconds
6. The considerable increase in speed of automated composing of the truck movements report: from 4 days for 4 trucks to 15-40 seconds for 1000 trucks
1. AWS-based architecture with powerful data storage and processing capabilities
2. Seamless integration with approximately 1000 IoT devices, including GPS trackers from different manufacturers
3. New features, such as video streaming from cameras or remote command processing
4. An increase in the number of trucks displayed on a map from 100 to 1000 objects
5. Smooth truck movements visualization in real-time — before we stepped in, the location of trucks on the map of the client’s GPS tracking app was updated only every 5-10 seconds
6. The considerable increase in speed of automated composing of the truck movements report: from 4 days for 4 trucks to 15-40 seconds for 1000 trucks
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