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MQTT protocol based on artificial intelligence and IoT

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MQTT protocol based on artificial intelligence and IoT

When the Message Queuing Telemetry Transport (MQTT) protocol was invented over 20 years ago, its creators probably didn’t realize that it would become a core application in all industries .

This is because the MQTT protocol has become the de facto standard for sharing messages across connected devices, also known as the Internet of Things (IoT). It provides a way for IoT sensors to communicate with each other across smart cities, smart buildings, and different verticals including retail, healthcare, and manufacturing.

Why choose MQTT?

The MQTT protocol is ideal for this application because it is an extremely reliable and lightweight messaging transport protocol with minimal network bandwidth and smaller code take up space. It uses a so-called "publish-subscribe" approach to queue, share, and relay messages in an efficient manner, making it ideal for connecting between devices hosted in remote locations with resource constraints or limited network bandwidth.

It is also based on open standards, so it has the flexibility to work with a large number of devices, suitable for applications such as street lighting, access control, traffic monitoring, parking management and environmental quality.

Real-time actionable insights

The number of IoT devices is growing exponentially. Current forecasts indicate that by the end of 2023, there will be more than 13.1 billion connected devices worldwide. This generates vast amounts of data and opens up vast opportunities to make organizations smarter, more efficient and more personal.

For example, someone walks into an empty building. Using the MQTT protocol as a means of communication between devices installed in a building, the arrival of an occupant may trigger a series of actions.

When someone is detected entering the building, smart lighting can be requested to be turned on and the heating or air conditioning system activated to create a more comfortable environment for the occupants. Because MQTT is open, it works with countless smart devices.

MQTT Protocol

For busier areas, video analytics can monitor occupancy and trigger alerts when more visitors arrive and exceed safe numbers. People can be automatically directed from a crowded space to another, quieter area as a result of devices communicating using the MQTT protocol and taking predefined actions.

Or, more employees may be needed and a notification is sent to a smartphone or tablet requesting a personnel transfer. This is especially useful in shopping malls or transportation venues, where visitor experience is critical to overall customer satisfaction.

Bringing “Intelligence” to Smart Cities

Across the city, more sensors could be used to monitor air quality around city streets. Through MQTT, this data can be connected with real-time traffic data from cameras and road sensors to understand whether increasing congestion is causing reduced air quality. Traffic can then be redirected to less busy roads, bringing pollution down to acceptable levels.

Decreased air quality may not be caused by traffic jams but by emergencies. In this case, a quick response with devices communicating with each other can save lives. A sudden drop in air quality could trigger a control room screen to display images from a thermal camera, confirming that a fire is producing toxic smoke.

In addition, digital signage and public address systems can guide the public away from the area to ensure safety. Not only does this prevent the situation from getting worse, it also provides emergency responders with space and time.

Long-term benefits

Business pioneers are increasingly aware of the value of data as they plan for the future.

MQTT communication between devices not only has an immediate impact, but also has an impact on long-term strategic decisions. Business pioneers are increasingly aware of the value of data as they plan for the future.

Video and IoT devices are rich sources of visual, environmental, audio, temperature and other data. Integrating all data sources into a coherent, easy-to-understand interface allows pioneers to take advantage of all available insights.

Understand store occupancy, footfall

In retail, this may lead to greater insight into store occupancy, footfall in specific areas, optimal staffing levels and energy usage appear in the form. Be able to see when a store is experiencing a surge in customers and notify employees about their shifts.

Store layout may be affected by traffic and occupancy data. Heating and ventilation can even be programmed based on the number of people visiting the store. This also improves energy efficiency because the HVAC only runs when and where it is needed.

IoT Video Data

In smart cities, understanding the flow of vehicles and people throughout a space will help city planners create roads, sidewalks, and public spaces that work for every citizen , regardless of mode of transportation. Busier areas could receive more road maintenance, while quieter areas might benefit from additional street patrols.

All smart city pioneers want to keep their citizens happy and safe, and using IoT and video data is an easy way to see what is happening in near real-time, thereby improving response times, and customize the city to the needs of its citizens.

MQTT AI: The ideal pairing!

It would be unwise to ignore the role of artificial intelligence in these applications. The camera has deep learning capabilities in addition to more general machine learning and basic video analysis. More analytics can now be done at the “edge” of the device itself, so the additional data coming in from across the IoT via MQTT communication is invaluable. It can create alerts, trigger actions, and provide more contextual, deeper, and more useful insights.

In many ways, MQTT is critical to the continued growth of AI in video, as it allows cameras to communicate with other devices. Otherwise, the data collected by each individual remains siled and difficult to use with regularity and consistency.

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