GDS Lighting's Zhaga-compatible CAT-M1 nodes enable each lighting fixture to connect directly to the cellular network without dedicated gateways. This open, interoperable, and scalable solution simplifies adaptive lighting and enhances the efficiency and sustainability of public lighting management.
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What are the economic benefits of smart cities? To discuss this crucial topic, we interviewed Alessandro Targetti, Head of Business Development at GDS Lighting, who explained the economic value of adopting smart solutions in urban environments.
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The latest technologies applied to street lighting help reduce energy consumption and make roads safer for all users, from pedestrians to drivers.
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Adaptive lighting is an innovation allowing the lighting of spaces to be automatically optimised according to predefined parameters, thus maximising visibility and minimising waste.
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Daniele Fanton - Group IT Manager and D&D SW Manager at GDS - tells us about SkylarkNet, the new advanced system for the remote control of Smart Cities. The capabilities of this innovative platforme include implementing adaptive lighting, reducing energy consumption, and many other essential features for the intelligent management of cities.
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Smart cities represent a fundamental evolution in urban development, enabling resource optimization and service improvement. A key element of this transformation is the Internet of Things (IoT), which connects everyday objects to collect data and enhance urban efficiency.
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Building a smart city is not just about technology, but also about political will, strategic vision, and collective commitment.
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Adaptive lighting is an advanced technology that promptly regulates and adapts public and street lighting based on actual traffic, luminance and weather conditions.
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Eidos is the innovative street luminaire that is able to support the digital transformation of cities, offering higher performance, advanced connectivity and a reduced ecological footprint,
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Lighting calculation is a complex process: the accuracy of the calculation depends on multiple factors, including the quality of the input data and knowledge of lighting standards and techniques.
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