At REKA, our top priority when it comes to the development of technology is safety and reliability. In this project, we work as well with ELMLAB, harnessing the power of autonomous vehicle technology for industry testing with the aim of significantly reducing accidents caused by operational errors. Our ultimate goal is to improve efficiency and productivity across various sectors through the application of this cutting-edge technology.

Deep learning mimics neuron activity and has three or more layers, creating a neural network. This neural network could support functions like voice/speech recognition, voice search, image recognition and processing, motion detection and data analysis. 

Once these functions work together, they can help vehicles recognise other cars, and pedestrian traffic and adhere to map-out routes. With all this data which needs processing by AV, it is no wonder that the AI market is responding to the growing AV market. Forecast reports that the automotive AI market will reach more than 10.5billion by 2025. 

Artificial Intelligence is the foundation of making the autonomous vehicle successful, and therefore the advancement of AI must be rock solid. For it’s not just processing the data the AV is receiving and retrieving, but also the surrounding infrastructure.