The networking specialist will use Microsoft’s Azure technology to deliver tailor-made intelligent edge solutions in areas such as public safety, traffic management and pollution control
Networking technology specialist, D-Link, is collaborating with Microsoft to provide customised intelligent edge solutions for smart cities.
It is using Microsoft’s Azure machine learning platform, AZURE media services and Azure IoT Edge to deliver seamless machine learning, modelling, conversion, deployment, and video analytics in one loop.
D-Link is showcasing its smart city technology at Mobile World Congress in Barcelona, which runs 25-28 February.
Building vision artificial intelligence (AI) into devices, like IP cameras, opens up more use cases by enabling data processing in real time without high-powered machines or continuous network connections.
As a result of this collaboration, D-Link will be able to deliver highly customised computer vision solutions that meet the specific needs of customers across industries and in different types of cities. These solutions will get smarter over time thanks to ongoing refinements enabled by Azure Machine Learning.
D-Link is focusing on a range of smart city applications, including:
Public and personal safety: D-Link is bringing more intelligence and convenience to firefighters, police, EMS, and security personnel through advanced push-to-talk (PTT) communications, and facial/object recognition done at the edge, enabling improved coordination, faster response times, and greater transparency.
Traffic management: D-Link Smart Traffic integrates traffic monitoring, connected vehicles, and smart traffic lights to reduce traffic congestion and improve road safety. It supplies low-power wide-area Internet of Things (IoT) sensor networks that can underpin smart cities need, along with high-speed connectivity, and low-latency computing at the edge.
Pollution control: D-Link’s solutions aim to curtail vehicle emissions while maintaining economic productivity and driver convenience. If a tailpipe is observed producing black smoke, an automated alert can be raised, with that vehicle’s license plate identified via automated number plate recognition (ANPR). It also facilitates data-driven decision making through real-time ambient environmental analytics that help determine emissions sources at the jurisdictional level, so that districts and administrators can better enforce and comply with regulations.
Smart parking: IoT sensors, ANPR cameras, RFID, and edge computing work together to provide driver notification and guidance so that drivers save time and operators have their lot spaces filled more efficiently. D-Link also offers dynamic payment integration for smart parking solutions for drivers who need to reserve a space in advance or on the spot. Other features provided include parking lot automation and scalable multisite management.
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