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Leveraging Computer Vision For Effective Crowd Management In Smart Cities

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Leveraging Computer Vision For Effective Crowd Management In Smart Cities


Government organizations can implement computer vision in smart cities to maintain social distancing and avoid stampedes and other disasters in crowded areas.

As the global population continues to grow at an alarming rate, crowd management becomes an increasingly challenging task. The global population is reportedly projected to reach 8 billion in 2025. Global trends also indicate that the population in urban areas has been growing steadily over several years. This suggests crowd management can be even more difficult in urban areas. Government organizations can tackle this issue effectively by developing smart cities that use multiple cameras, low-power sensors, and artificial intelligence. Combining these tools with computer vision can make smart cities even more advanced. By implementing computer vision in smart cities, governments can precisely monitor public places and create strategies for effective crowd management.

Government organizations and authorities can use computer vision in smart cities to identify people and objects, assess the motion of vehicles and predict congestions, detect crowded areas, and more. Furthermore, computer vision applications will offer real-time insights that will assist governments in making decisions for smart cities. Smart cities are already benefiting from computer vision by implementing smart parking systems and maintaining law and order. Crowd management will be another major use case for computer vision in smart cities.

Applications of Computer Vision in Smart Cities

Here’s how governments can utilize computer vision in smart cities:

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Maintaining Social Distancing

Ensure Social Distancing Since the beginning of the COVID-19 pandemic, healthcare experts around the world have advised us to ensure social distancing of at least 6 ft along with wearing masks. However, it can be quite difficult to maintain social distancing in crowded cities. In this case, smart cities can use computer vision to plan their infrastructure to ensure social distancing in crowded places. For instance, Numina has developed a computer vision-powered tool that offers multi-object tracking in smart cities. The company had tweeted a video that shows how New Yorkers were trying to practice social distancing, but the narrow sidewalk space made it a daunting task. Governments can use such real-time data to identify issues that could be overlooked.

Avoiding Stampedes in Crowded Areas

Government organizations can use computer vision in smart cities to monitor crowded events like concerts and live sports venues where chances of stampedes are quite high. In these scenarios, computer vision will provide real-time estimates like the number of people and crowd density. Such data can be used to avoid stampedes and other disasters as well as assist in controlling the crowd.

Although the implementation of computer vision in smart cities can be effective in crowd control, many of us would be concerned about the invasion of privacy. Citizens of most countries will be worried about their governments using advanced technologies to gather real-time visual data about them. To address this issue, governments need to develop a proper framework to ensure that sensitive data can be accessed only by select high-level officials and that such data will not be misused.



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TEKNOLOGI

Augmented Reality Can Prevent Blindspot-Based Vehicular Mishaps On Busy Motorways

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Augmented Reality Can Prevent Blindspot-Based Vehicular Mishaps On Busy Motorways


Augmented Reality Can Prevent Blindspot-Based Vehicular Mishaps On Busy Motorways

The involvement of augmented reality (AR) in smart cities and the safety systems of modern vehicles promises to resolve a frequent cause of vehicular accidents—blindspots.

In automotive speak, blindspots are defined as the external spaces that the driver of a vehicle cannot see while driving. External visibility is generally poor for drivers because, apart from the zones visible through the glass areas and the ones reflected by the rear-view and wing mirrors in vehicles, they cannot see much else outside. This may seem like an insignificant problem at first, but dive deeper into the numbers, and you’ll find that about 840,000 crashes and 300 deaths occur every year due to blindspot-related accidents. 

The implementation of AR in smart cities and modern vehicles can be seen as a remedy for this issue. Recently, AR and VR-driven simulations have steadily emerged in vehicular safety testing. So, if vehicle manufacturers need to resolve the blindspot problem, they can look towards a few promising AR-driven concepts and solutions.

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Heads-Up Windshield Display

Several vehicles manufactured by companies such as BMW, Bentley, Audi and many others have AR-based heads-up windshield systems that allows drivers to focus on the road ahead instead of being distracted by information on their vehicle’s dashboard infotainment systems. Heads-up display systems involve road signage as well as pedestrian and vehicle proximity data being displayed on the windshield of the vehicle. As you know, the possibilities are endless when it comes to AR, safety and visibility tools. So, manufacturers can configure such systems to project the visuals of pedestrians and other vehicles approaching or standing in blindspot areas of their vehicles (regardless of whether they’re static or in motion). This will let drivers see a simulation of pedestrians or vehicles in blindspots on the windshield of their vehicles, avoiding several accidents in the process.

See-Through Pillars and Panels

This is a slightly more unrealistic way of using AR for blindspot elimination. According to this concept, AR can be used to project the simulated visuals of a vehicle’s external environment on its pillars and other internal panels, vastly improving external visibility for drivers. Several concepts similar to this are currently in various stages of development. The success of this idea will greatly enhance the safety aspect of vehicles of the future.

 

On a basic level, blindspots are a result of the anatomy of vehicles today and will cease to exist if future vehicles are built differently. Until then, the use of AR in smart cities and connected modern vehicles can help reduce the number of accidents caused by blindspots.

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