How to Build Better Automotive Applications with Model-in-Loop Test Approach

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.
February 8th, 2024

Face Recognition Technology – A Modern Security Solution for Cars

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.
February 8th, 2024