Embitel’s IoT Cloud Architect reveals how multitenant architecture transforms IoT management and scales Firmware-Over-The-Air (FOTA) updates—boosting efficiency and innovation for connected devices and automobiles.

Unravel the past, present and future of Automotive HMI with our comprehensive guide. Understand the multimodal approach used to develop modern HMIs, and discover the latest trends and design principles.

Some of the challenges associated with building an HMI are – Choice of technology, flexibility and scalability, modularity, multi-platform usage, multilingual features. This article deep dives into the HMI development tools and technology that help you create a winning product!

This is an account of one of our internal projects in which we ported Android Automotive OS (AAOS) to Toradex i.MX8 and i.MX8X platforms, and integrated various functionalities. This includes early start-up of rear view camera (

Edge AI devices are low-power systems that have limited computational abilities. These devices make use of machine learning algorithms for analytics and do not completely depend on the cloud for such activities. Edge AI offers innumerable benefits to IoT applications – Reduced latency, improved scalability, enhanced security and minimized strain on the cloud.

Telematics is a disruptive automotive technology that utilizes IT and communication protocols to send, receive and store information pertaining to remote vehicles. The data is transmitted over a wireless network through secure means and an in-vehicle electronic device or smartphone is employed for establishing remote connectivity. In this article, we explore the various facets of

Here is an account of another project that was conceptualized at the Embitel Innovation Lab. The engineers developed a ready-to-deploy AIS 140 compliant software stack that can bring about a significant reduction in the development time of a GPS device enabling telematics.

Embitel’s Innovation Lab has recently been abuzz with the development and testing activities related to the DriveSafe app that our engineers have been working on. This app detects driver distractions that can result in road accidents. Powered by a machine learning algorithm, the DriveSafe app analyses driver activities and alerts them of distractions so that they can take corrective action. Learn more about the app here.

In an IoT ecosystem, the cloud is where all the action happens! While designing the database for a cloud application, it is imperative that you consider some key points such as scalability of the solution, data storage requirements, business intelligence/predictive maintenance applications, etc.