AREY-AI Computer Vision

AREYLight AI Solutions offers Edge computing in IoT refers to the practice of processing data from our hardware devices at the edge-ai of the network, rather than in a centralized data center or cloud. This allows for real-time processing and decision making, as well as reducing the amount of data that needs to be transmitted to the cloud, which can save on bandwidth and power consumption. Edge computing also enables devices to continue functioning even if the connection to the cloud is lost.

Our edge computing technology refers to the use of computing power at the edge of the network, which is closer to the devices that are generating data. This can include using gateways, embedded devices, or even small-scale data centers to process data from AREYTech units in real-time, without the need to send all of the data to a centralized cloud for processing.

One of the main advantages of our edge-ai computing in our solutions are that it allows for faster decision-making, since data can be processed and analyzed closer to where it is generated. This can be particularly important in situations where data needs to be acted upon in real-time, such as in industrial control systems or autonomous light units and more.

Another advantage is that edge computing can help to reduce the amount of data that needs to be transmitted over the network, which can save on bandwidth and power consumption. This is particularly important in IoT applications where devices may be connected to the network over low-bandwidth or unreliable connections.

Additionally,our  edge-ai computing can enable devices to continue functioning even if the connection to the cloud is lost, since data can be stored and processed locally. This can be important in IoT applications where devices may be deployed in remote or inaccessible locations.

Tech Zone is well known that public safety and street lighting are linked: safer streets are those that are well-lit. In an effort to provide adequate levels of lighting for citizens, cities typically have over-lit streets with lights on for hours without a single living soul around them. In short, cities spend on powering street lights that don’t burn for anyone. At the same time, for reasons of public safety, it is never possible to turn off the lights completely. Cities around the world are familiar with this dilemma. As much as energy needs to be saved and costs cut, it is also imperative to put citizens first and ensure their safety and comfort. How can municipalities save energy and at the same time ensure the safety of citizens with the right amount of lights

The Complex of University campus opted for AREYLight’s AI controlled proactive lighting solution and installed AREYLight nodes  throughout the campus zone. Now, during the off-peak hours, the lights are dimmed down to 20% of their capacity. As soon as human presence is detected, all the lights surrounding the occupant glow to full brightness, embracing the person in a warm circle of light.The Tech zone also adopted AREYLight’s Smart Control application to collect statistical data and failure reports.

The results are Impressive! The location has achieved energy savings of 63% on its conventional lighting and the community has hailed the efficiency efforts and given positive feedback about their experience in first quarter.

Open standards and Open APIs-based solutions enable easy integration and interoperability between different systems. For instance, the LMS is being inter-connected to the local asset management system  through different smart city applications and monitoring and servicing effectiveness.