Telematics Device Portfolio Development

For any IoT powered application, getting the IoT Device right is vital to the success of the application. Given that hardware doesnot allow agile development approach that is possible in the software side of things, one has to make carefully considered design choices while finalizing the IoT Device Deisgn choice.

At SenSight, we see IoT device development as a multi-dimensional rubik cube of choices where sensors, connectivity, computation, power and cost trade-offs abound and you fit together blocks to serve the use case you are considering.

Understand your design choices

As part of our AutoWiz Connected Vehicle platform, we looked at the Connected Vehicle Use Cases and the market needs, we saw a variety in terms of functionality, features and cost continuum. Some of the design options are listed below:

  • Use cases: Live Tracking, Driving Behavior, Vehicle Diagnostics and Device works autonoumously
  • Sensors : Mix of GPS, G-Sensor, OBD/CAN, Temp/Humidity sensors
  • Connectivity options within vehicle or to cloud : Bluetooth, Wifi, Cellular (2G/3G/4G/CAT-M), LoRa
  • Compute strategy : On device, On cloud, Driver Smartphone, Vehicle's Head-Unit
  • Power: Vehicle battery powered, independent battery powered and voltage range supported

Distill options into specific device choices

From potentially large number of combinations, we carefully selected key combinations that make sense from the point of view of market feedback, cost, usability, manufacturability and standardization. Some of the selected options that emerge include:

Integrated OBD GPS Gsensor Device with Cellular connectivity and optional wifi : Powered by Vehicle OBD port, all in one device that works independently of Driver

OBD Gsensor Device with Bluetooth connectivity : Powered by Vehicle OBD port, works in conjunction with Driver's Smartphone

BLE Beacon with Gsensor : Low cost and low power, powered by replaceable coin cell battery, works in conjunction with Driver's Smartphone

Pair Device with computation Strategy

From computation standpoint, choices are based on computation ability of the device, data transfer cost as well as nature of computation. Typically, fast moving and streaming data processing is performed as close to sensors while deeper, time series analytics and machine learning tasks are performed on cloud. However, with increased ability of smartphones, these appear as vital data capturing and processing nodes specially in the consumer IoT world and we are taking full advantage of those.

Systematic approach to exploration of IoT Device Design domain enabled us to build a portfolio of telematics device solutions. See our latest portfolio of Telematics Device Options here.

Case Studies

Browse through some of our recent work in the domains of IoT, AI/ML and Cloud.

  • All
  • IoT Device
  • AI and ML
  • Cloud and Big Data
  • Web and Mobile App

Telematics IoT Device Design


Vehicle Data Analytics Platform

Cloud and Big Data

Cross Platform App Design

Web and Mobile App

Machine Vision based Driving behavior

IoT, AI and ML

Wearable Integration

IoT, Apps

Connected Insurance Solution

IoT, Cloud and Apps

Predictive Maintenance

IoT, AI and ML

Automatic Car Damage Assessment

AI and ML

NLP Structured Data Extraction

AI and ML

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