Artificial Intelligence Technologies and Energy Efficiency

Artificial Intelligence technologies are much more involved in our lives every day, self-driving cars reservations, adjustments, our next step in our place, almost intelligent beings who know us better than our family, we see when we examine the overview of these technologies, we see that it is a big place in our lives in a much shorter time. they will receive.
autonomous vehicles smart phones self-flying drones and many more, life for you is easier and higher quality than before? With AREYLight Ai technologies, we plan to make this stage much better, especially in Autonomous technologies, while making our cities smart, we make high-level gain and waste prevention become the main goal.
The level of energy efficiency is getting higher than ever before. We owe this to Artificial Intelligence technologies.

We provide remote and wireless control of lighting systems. Contrary to current technologies, we teach 6 different real-time data to the machines, except for the data from the sensor and the astronomical clock. learns that it has to light in its power. Here we applied the learning method used by Tesla cars. The electronic device on the lighting system and the smart software we developed follow only how it was illuminated for a certain period of time. Artificial Intelligence technology connects these later learning with other lighting units in its region. monitors the intensity and need in the region in real time. It can bring together thousands of devices or only 10 of them can make different decisions according to needs. This Artificial Intelligence powered autonomous learning technology is just a few examples today. the future starts with lighting. The lighting management we applied as a nish project provided higher efficiency than ever before with artificial intelligence algorithms. All technologies we have developed We have designed it to communicate in real time with many smart systems. Autonomous Energy efficiency and artificial intelligence supported grouping module is now being used and the values ​​we have achieved are really great. You can contact us for detailed information.
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