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AREYTech

Autonomous Lighting Technology

Conserve electricity usage

efficiently throught the use of AI

%60 Saving on Costs

AREYLight Ai Reduces Energy Consumption using AI Ready
Conserve $12M out of $20M 

Proactive Maintenance

Reduce costs by predicting problems in advance or in real time with awareness struct

Efficiency Smart City

5X Faster than Solar Panels 
6X Faster than Wind farms in Return on Investment rate

 

Redefine Energytech Conserve electricity usage by AI

Connected Smart Light Conrol

AREYLight provides proactive lighting  needed by vehicles and pedestrians.

Lights will intelligently turning on when light is required

And We make learn street lights  when and how to use their powers

In this way, Energy is consume only as needed.

Explore AREYLight Features
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We make it quite easy

The transformation process of AREYTech Smart Cities

  • Feasibility
    Requirement analysis
    #1
    We examine the needs and requirements.
  • Installation
    Placing Hardwares
    #2
    Autonomous Control Units, especially Lighting systems are installation takes place
  • Communication Platform
    Connected IoT Architecture
    #3
    The installed systems become ready for control by communicating between each other. So, Efficiency, Security and all the needs the city demands
  • Self Learning
    Unmanned Smart System
    #4
    Numerous autonomous units start learning from the start to set up to maximize efficiency and better control results

AREYTech accelerated by Brinc.io Fall 2020

Reach Brinc.io Demo Day brochure

Read full story

We make learn lights when and how Use Their Powers

High Efficiency with Unmanned Light Control Units

AREYLight ensures that lighting units can be controlled remotely without the need for infrastructural change.

The solution makes cities autonomous while reducing expenses, returning on investments and efficiency. Smart units turn into Autonomous Lighting groups with neural network communication.

Our proprietary algorithms allow for affordable efficiency gains on a scale that could not be obtained before

Reinforcement Learning Prediction Success
95%
Energy Efficiency Results
80%
Learn More

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