17 August 2021

Maintaining reliable infrastructure through protecting public safety, cctv, power, machine learning and more is crucial for worldwide and transportation security  When it comes to security issues, infrastructure is never the first thing people think of. However, if the importance of maintaining an ideal infrastructure system is ignored, then various vulnerabilities are then created. Countries all around the world count on standard railroads, powerlines, roads, waterways, train tracks, and more to run their leading economies. Most of these things play a primary role in global and transportation security, too – they all go hand in hand. Without the right systems set up, it becomes challenging to maintain a lot of the security protocols that are currently set up. A lot of countries are suffering from poor infrastructure all around the globe, which creates a slippery slope of security problems.   Operational efficiency is an essential part of infrastructural security. Being able to respond quickly in the event of a disaster or security attack, whether from an external force or something that is close from within, typically becomes an integral element in keeping ourselves safe. This allows us to eliminate risks and make it so that any emergency responders can reach quickly where they have to be. Transportation isn’t just important to those first responders, though, but also with circulating the technology that keeps all of us safe. Everything and anything from intelligent driver cameras, under vehicle inspection technology, access control technology, and system integration end up being shipped from somewhere and helps maintain the safety of roads, airports, railways, and ports of all types to ensure reliable global security.  Power grid  A lot of security elements count on power to stay running. Granted, in a lot of facilities, there are generators just in case some type of event would take out some of the security technologies set up. With that in mind, keeping the power grid as a whole provides for seamless and smooth communication. It can go a very long way in helping ensure that most essential elements of modern security approaches are indeed left up and running as effectively as they can.  Locating targets  In case of a terrorist attack, it seems much more likely that the targets that are hampered by ruined infrastructure are going to the ones who are hit. In some instances, failure to build and protect infrastructure can reduce efficiencies so much that they create bottlenecks where global security becomes next to impossible. When railways or roads become clogged because a security or transportation system isn’t working, it makes various vulnerable targets.   Machine learning  There is a lot of buzz nowadays around artificial intelligence, like what exactly it is, whether or not the advances with AI will lead to a fully conscious being, or if it is truly dangerous or not. When we discuss artificial intelligence today, we’re usually referring to one specific type of AI that has been implemented easily into all kinds of systems, which is machine learning. Machine learning plays a huge role in transportation security.  Machine learning is a type of computer science in which we give computers the necessary tools to “learn” without being directly programmed. We are essentially able to feed these programs new data and observations from real-world scenarios, which the program is then able to translate all information into improved behaviours. What this means is that machine learning technology can make a computer learn how to do one job very well. For example, in the world of modern technology and transportation security, that might mean being able to recognize what a driver’s (precisely a person of interest) face looks like – and continually getting much better and better at being able to do this accurately.    “Machine learning plays a huge role in transportation security“   Some people think the main reason we care about machine learning, and through extension, artificial intelligence is because it allows autonomous processes to happen. This is partly true, but it is also a matter of efficiency. When a computer learns how to read lips, for example, it can pour through large amounts of video footage and assign accurate subtitles based all on its experiences. All thanks to the large amounts of processing power a lot of these systems have, they are capable of looking at large groupings of data to find patterns that would either be missed by humans during inspections or would take an unreasonable amount of time for them to obtain. Machine learning and artificial intelligence applications are endless, but today we are interested in learning what they can do for the transportation security industry.  We are already using machine learning in modern transportation security technology. There have been large amounts of development in terms of threat recognition, like being able to tell whether or not a train, cargo ship, or vehicle carries the possibility of risk and then alerting the on-site security personnel to such threats. As we get better at programming with modern machine learning in mind, we are going to see many more systems capable of improving, learning themselves, and better able to help us keep parking lots, roads, cargo ports, government buildings, and border crossings safe.    “There have been large amounts of development in terms of threat recognition, like being able to tell whether or not a train, cargo ship, or vehicle carries the possibility of risk “   Protecting infrastructure  Previous terrorist attacks on infrastructure have highlighted the vulnerability of our rail and road networks, reinforcing the importance of good risk assessments to protect some of our biggest assets. Throughout the European Union for example, there are five million kilometres of road – 65,000km of these being motorways – and 212,000km rail lines, half of which are electrified, as well as 42,000km of navigable inland waterways.  This infrastructure network, or the trans-European transport network (TEN-T), is vital to the economic and social development of the 26 countries within the EU. But it is not only the forces of nature that critical infrastructure falls