Chris Bishop, APAC Marketing Director at Ipsotek, Eviden’s operating company, explains how the combination of evolving technologies such as 5G networks, IoT and AI will impact business operations.
The range of opportunities presented by the increasing availability of 5G networks spans multiple sectors and industries, but perhaps the most important is transportation. He says the range of use cases for 5G in transportation hubs seems limitless, from providing a smooth, hassle-free experience for passengers to enhanced capabilities to respond to critical safety incidents in real time. It looks like
Consider, for example, the increasing pressure transportation authorities face to comply with ever-evolving safety protocols. This makes disciplines such as crowd management and people counting at transportation hubs more important than ever.
The introduction of 5G networks, which enable ubiquitous AI-driven video analytics, means processing CCTV camera streams at the edge across large networks will become much easier.
Utilization of AI video analysis
By harnessing the power of edge-based AI analytics, organizations can leverage their existing infrastructure to enhance their operational capabilities. CCTV, when combined with edge-based AI, can provide valuable insights to improve safety, security, reliability, and efficiency across an organization’s operations.
Additionally, metadata compiled from edge-based AI solutions can be accessed and viewed in real-time via dynamic dashboards, providing operators with real-time status of specified KPIs. This provides transportation operators with a wealth of information to improve management. Infrastructure and networks within hubs such as airports, train stations, and ports.
For example, at a railway station, using CCTV and edge-based AI video analytics to monitor tracks, tunnels, and broader station infrastructure can significantly reduce incident response times. Sydney Trains has adopted this technology to automatically process video to identify tunnels and track intrusion occurrences at 13 stations in metropolitan Sydney, resulting in significant disruption to passenger travel. is one such operator that has reduced its
Other key use cases that can be applied to all types of transportation hubs include identifying passengers traveling in a different direction from the crowd, loitering in private/restricted areas, and detecting abandoned objects. Prompt detection and alerting of such incidents can prevent them from escalating and potentially save lives.
Smooth and efficient passenger experience
The benefits of integrating edge-based AI and 5G networks extend beyond security and health and safety benefits for the transportation industry. In fact, the possibility of contactless travel will increase with his 5G, enabling a faster, more convenient and smoother travel experience for passengers.
In the long term, 5G-enabled self-driving cars are likely to be used at travel hubs, allowing passengers at airports to access parking with a simple scan of their smartphone and pass through security using biometric ID. It’s not that unrealistic to imagine that scenario. .
Another positive benefit for passengers is less waiting time and more time to enjoy other airport and station activities, such as shopping and dining. This gives retailers the opportunity to customize their mobile apps and offer passengers a more personalized customer experience.
An additional use case for 5G networks and edge-based AI video analytics is cargo handling at airports, ports, and train stations. The efficiency of such operations can be greatly improved by using handheld or IoT readers to scan barcodes, and the collected data can be stored in a central location accessible to service providers and logistics partners via 5G-enabled networks. will be forwarded to. The ability to connect to IoT devices and collect data by reading barcodes on cargo containers will improve the efficiency of the loading and unloading process.
Smart case for IoT
As urban planners, governments and councils increasingly focus on technology solutions to support the future development of smart cities, IoT is also being widely leveraged in these environments. In addition to its benefits in smart urban planning, such as acting as sensors to collect data such as air quality, IoT plays an important role in interpreting the collected data.
In fact, according to IDC, the amount of data generated by IoT devices is expected to reach 79.4 ZB by 2025. However, this data is only insightful and valuable from a smart city perspective if the ability to analyze it properly exists. This is where data analysis comes to the fore. IoT and data analytics coexist within a smart city framework that spans areas such as:
traffic jam
By using sensors to track traffic flow and delivering real-time updates to a central management platform, IoT helps city planners identify traffic patterns. Internal systems can be used to autonomously adjust the order of traffic lights, for example.
air quality and waste
Smart cities are increasingly deploying new technologies to monitor pollution levels, such as collecting data on the amount of dust and air particles.. IoT systems can help with this through smart sensors, sending alerts when bins are nearing capacity and ensuring they are collected when needed.
smart infrastructure
Automated lighting and smart lifts leverage IoT sensors that share data with each other, allowing connected buildings and homes to continuously learn from the environment and ultimately reduce power usage. Storm drains equipped with IoT sensors broadcast the depth and velocity of water during storms, which is then broadcast to residents.
Changing attitudes towards AI
Depending on what you read, it seems that despite the multiple use cases identified above, the court of public opinion regarding AI is probably still somewhat divided. For example, research published by Ipsos Mori highlights a mixed outlook.
The study examined public attitudes toward AI in 28 countries and found that opinions about the technology and its capabilities are inherently tied to a country’s level of economic development and prosperity.
Specifically, respondents from emerging countries were significantly more likely to have a positive outlook on AI. We believe the key to this is that respondents from emerging countries are more familiar with and comfortable with AI tools and solutions than those from developed countries.
Education and training are the best way to increase familiarity with AI, which can also improve trust. How AI has come to the fore to support businesses and individuals in a variety of ways throughout the COVID-19 pandemic, from contact tracing and social distancing to workflow automation and predictive analytics. we have witnessed.
Whether it’s AI, 5G networks, IoT, or a combination of these, it’s become clearer than ever how much new technologies will impact many aspects of daily life and business.
The trajectory only moves in one direction. By accepting that fact and continuing to evolve the use cases for such technologies, society will realize real benefits.
