AREYLight Ai-Controller IoT Module
Cities and utilities across the world are investing heavily to install cleaner, more reliable LED street lighting. Adding wireless controls completes the potential of LED – increasing energy savings by up to 60% and cutting maintenance costs with automatic fault alerts and self-diagnosis. Controls also provide accurate energy metering and service level statistics for auditing LED investment performance. Most of all, controls enable lighting to adapt to the needs of the city, both in real-time and over the long term.
The Gateway has an in-built radio module for wireless network configuration, and controlling also maintenance. It acts as a data concentrator to reliably communicate with a large number of devices spread across large distances. Several internet connectivity options offer robustness and flexibility.
The IoT Gateway encloses advanced industrial components for optimized performance worldwide.
AREYTech Ai Presence Predictor technology is a revolutionary integrated wireless motion sensor for the presence-based monitoring and control of outdoor lighting.
Our technology integrates motion sensors, wireless communication and the lighting control – all in a single housing. It delivers on-demand dynamic lighting, making the lights adjust their brightness based on the presence of pedestrians, bicycles or cars. As a result, the lights automatically dim-down during the off-peak hours when there is nobody in the vicinity. Upon detection of the human presence, all lights in the surrounding area return to the brightness levels previously defined by the user, thereby creating a safe circle of light. Of course, interference factors such as small animals or moving trees are automatically filtered out.
Motion sensor-based adaptive dynamic lighting reduces the energy consumption by up to 80% without compromising public safety and citizen comfort.
Smart City Ready
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.