Network conformance testing in the automotive industry has gained unprecedented importance due to the complex integration of advanced systems like autonomous driving and connected services in modern vehicles.

Model-in-loop testing is a technique to represent the behaviour of an embedded system in the form of mathematical models. These models are used to verify the system or the sub-system. Model-in-loop testing would start with models that would virtually represent each unit under test. Early detection of bugs and errors would be possible to ensure a bug-free solution and developers would be spared from the pains of manual coding, a win-win for all stakeholders.

This article reveals the transformation of car security through face recognition, highlighting the implementation of cutting-edge algorithms. Learn about the future where your vehicle not only recognizes you effortlessly but adapts to dynamic safety challenges, ensuring a driving experience that exceeds conventional safety norms. Delve into the intricacies involved between face recognition and IoT, shaping the pinnacle of automotive security, brought to you by the expertise of Embitel in AI and ML services.

Step into a safer future of driving with IoT-powered Driver Health Management Systems. Explore how cutting-edge technology monitors vital signs, detects stress, and ensures driver well-being. Drive confidently with advanced safety solutions.

Automotive dashboard components have undergone a massive technological revolution in the recent past. One of the main drivers for this change is the increasing amount of digital content that’s being accessed from within the vehicle.

In the digital world that we live in today, providing a connected experience is necessary, and OEMs have taken notice. With the integration of IoT-based technologies, automotive solutions are evolving rapidly.

The 21st century is considered the era of continuous innovation, and performance optimization and data is the driving factor behind all of this. As vehicles play a key role in our everyday lives,