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Wireless System for Vehicle Detection in Public Lighting Actuation

 Wireless System for Vehicle Detection in Public Lighting Actuation - IoT ONE Case Study
Technology Category
  • Functional Applications - Remote Monitoring & Control Systems
  • Networks & Connectivity - Radio Access Network
  • Sensors - Magnetometers
Applicable Industries
  • Cities & Municipalities
Applicable Functions
  • Logistics & Transportation
Use Cases
  • Smart Lighting
The Challenge

Always seeking innovation, BH Technologies was studying an energy saving solution for its public lighting equipment. The company based in Grenoble (France) wanted a simple and autonomous system with high-level accuracy vehicle detection to be integrated with its public lighting control solution.

The Customer
BH Technologies
About The Customer
BH Technologies provides intelligent management of street lighting and garbage collection: the major issues of the ecological transition for local authorities.
The Solution

HIKOB miniaturized and smart wireless magnetometer sensors have been selected by BH Technologies to detect vehicle movements in the area where the public lighting solution is deployed. They collect vehicle detection data in real-time and communicate through the HIKOB wireless radio network with the public lighting controller which adapts the light intensity depending on the real street traffic flow. Public lighting is decreased at the lowest level when the area is empty and is boosted when the wireless sensors detect vehicle movements in the area.

Data Collected
Energy Consumption Rate, Light Intensity, Lighting, Traffic Flow, Vehicle Status
Operational Impact
  • [Data Management - Data Integration]
    Easy integration with the existing hardware and software infrastructure of the public lighting system due to the system's flexibility.
  • [Product Improvement - User Acceptance]
    Better user acceptance with less operative training is required.
  • [Data Management - Data Analysis]
    Cloud solutions enable aggregation of 'big data' to enable more robust analysis and lower costs.

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