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 (<2s), power management with multiple wakeup options, integration of up to 8 cameras outside the vehicle for RVS, SVC and 360 degree coverage, and much more. Read the full story here.
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.
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.
Smart dashboards are an inherent part of the connected vehicle today. Apart from offering telematics features, these enable integration of the dashboard with mobile/web apps through a cloud platform. Bluetooth connectivity and advanced personalization features are some of the highlights of an integrated connectivity cluster.
Several types of mobile apps can be developed for industrial/enterprise/home automation IoT solutions, based on the project requirements. This page takes a look at each of these in detail.