In the past, security managers were primarily concerned with global terrorism. That has changed with the COVID-19 pandemic threatening the health of passengers at airports. Even if the number of passengers remains at a low level in many airports, surveillance won’t become any less complex. In fact, the opposite is true. Hygiene regulations raise new requirements for passenger processing and control. Reason enough for security managers to rethink airport security methods and evaluate how smart surveillance technologies can help meet new (and old) challenges better and more efficiently. Smart Airport Surveillance Smart Airport Surveillance combining IoT security cameras and AI video analytics help airport security managers to systematically monitor and understand passenger behavior, gain valuable insights from video data and improve security and operations, automatically and in real time. CCTV camera systems are already in use at all airports worldwide. Why not use existing infrastructure to get more out of video data? For example, smart cameras can ensure social distance according to hygiene regulations or improve the visitor experience, by reducing waiting times at security checkpoints. IoT cameras with AI video analytics IoT cameras equipped with AI video analytics can do much more than just video IoT cameras equipped with AI video analytics can do much more than just video. Ajay Kattige, Solutions Consultant at Security & Safety Things, said “We at Security & Safety Things aim to bring the latest AI technology to IoT cameras, enabling them to perform more and sophisticated tasks in airport security measures.” He adds, “We make adding powerful features to surveillance cameras as easy as installing apps on smartphone.” Airport security management Despite the threat of COVID-19, the fight against terrorism remains a key objective in airport security management. Where thousands of people gather, signals indicating terrorist activity are easily overlooked. When it comes to reliably detecting unattended luggage or people with weapons in crowds, video surveillance involving human operators reaches its limits. Smart video cameras can support humans in recognizing threats early and even perform tasks autonomously. AI-Lost camera app AI-Lost is an AI camera app designed to detect lost objects abandoned in specific areas, such as airports, stations and public spaces. AI video analytics integrated in the app enables airport security cameras to detect objects, such as suitcases and bags, not moved for a period of time (therefore, suspected of containing explosives) and notify security personnel. The video below shows how human behavior that deviates from ‘normal’ patterns can be detected by security cameras in real time, ranging from minor disputes between people to vandalism. Similarly, aggressive or violent behavior in airports can be detected early. AI-Loitering app to detect suspicious behavior AI video analytics help detect even inconspicuous individuals based on specific behavior patterns Terrorist attacks often have a prelude, people stay in one place for a period of time to scout the situation without being noticed by security staff. AI video analytics help detect even inconspicuous individuals based on specific behavior patterns. AI-Loitering is a camera app that detects odd behavior of people lingering around certain areas for a long period of time. Gun Detection Real App for weapons detection Gun Detection Real App for security cameras recognize in real time, if someone holds a gun and automatically triggers alarm. AI video analytics integrated in the camera app is able to distinguish weapons from harmless objects, such as smartphones, keys, pens or umbrellas. In very complex buildings, such as airports, it’s an ongoing challenge to keep restricted areas free from unauthorized people. Each security gate that is opened unintentionally triggers alarms leading to security routines shutting down airport operations for a period of time. Smart video surveillance combined with passenger information systems can help prevent these types of incidents. AM Line Crossing For instance, AM Line Crossing solution allows airport security managers to set up security zones in public areas where, for example, passengers are automatically notified, when approaching restricted areas. Connected to digital information systems, smart cameras not only recognize people entering defined areas, but also automatically guide them to their destination. In tall airport buildings, conventional smoke and fire sensors mounted under the ceiling are limited because they detect and report threats too late. Optical sensors, such as security cameras equipped with AI video analysis, can detect smoke and fire from long distances and automatically take timely action. AI-Fire and AI Smoke apps for flame and heat detection AI-Fire detects flames at significant distances in areas unsuitable for traditional fire alarms For example, AI-Fire detects flames at significant distances in areas unsuitable for traditional fire alarms, such as huge indoor areas in airports or stations. Combined with AI Smoke, another AI app for security cameras, airport security managers get a powerful early warning system that reliably detects and analyses all stages of fire progression. Waiting in long queues at boarding and security checkpoints challenges passengers' patience and can seriously damage travel experience. Airport staff has to take the rap, when negative passenger emotions are released. AI video technology to avoid long queues AI video technology can help avoid waiting lines and hassle. If queues get too long, smart surveillance systems automatically give instructions to staff or inform visitors via digital displays in the waiting area. At Budapest Airport, for example, visitor management works with an existing camera system equipped with smart software applications. Video data is analyzed in real time, so that waiting times can be predicted with 96 percent accuracy. These numbers are communicated via displays, for example, to direct visitors to other checkpoints. Protect passengers & airport staff against COVID-19 Social distancing is the key to preventing or at least slowing down the transmission of COVID-19 from person to person. Where many people come together, surveillance is needed to ensure appropriate behavior. The same applies to make sure that people wear masks wherever mandatory. IoT cameras, equipped with the latest technology and AI, can help detect behavior and characteristics that do not comply with regulations. Security & Safety Things and partners offer easy-to-install AI solutions to help flatten the curve of COVID-19 virus transmission.
Security cameras are not new in traffic surveillance with video technology already deployed to catch speeding, red-light runners and monitor traffic density, in order to avoid traffic jams. With the rise of AI, IoT and smart cities, it's time to think about taking traffic video surveillance to the next level. This article highlights how security cameras equipped with AI can help make roads and highways safer. Smart traffic surveillance Traffic sensors are specialized in detecting ‘simple’ traffic incidents, such as cars driving through red lights or exceeding speed limits. They also help detect street conditions quantitatively, e.g. counting passing cars, enabling human operators to recognize traffic jams, before they occur. Qualitative traffic analysis and control still requires humans. However, this will change soon with a new generation of smart video technology. Combing IoT cameras and AI video analytics Smart traffic surveillance combining IoT security cameras and AI video analytics helps authorities Smart traffic surveillance combining IoT security cameras and AI video analytics helps authorities, traffic planners and highway operators to systematically monitor and understand road users' behavior, thereby gaining valuable insights from video data to optimize traffic flow and minimize accident risks, automatically and in real time. Imagine video surveillance systems at busy intersections in downtown areas not only detecting who violates traffic regulations, but also automatically analyzes and controls traffic flow. Recognizing actual road occupancy, smart camera systems could help manage traffic, for example, by controlling traffic lights that would no longer be time controlled but smart. Smart security camera systems IoT Cameras can do more than just video. Security & Safety Things aims to make security camera systems smarter so that they can perform complex tasks independently. With the open IoT platform, including a Camera OS and an Application Store, Security & Safety Things enable camera users and system integrators to equip their camera systems with the latest AI video analytics. “It couldn't be easier. You simply install the apps you need from our Application Store on your cameras with a few clicks, just as you know it from your smartphone,” said Ajay Kattige, Solutions Consultant at Security & Safety Things. Smart video analytics in traffic monitoring Security cameras are designed to take videos and make it available for evaluation. To get more out of video footage, cameras need video analytics capabilities, for example, to distinguish people from cars, analyze traffic flow or ‘read’ license plates. In the Application Store, users can find a wide range of apps, easy to install on security cameras and ready to perform a variety of business tasks. License plate capture in bad light and weather NeuroCar LPR EU is a camera app designed for detection and identification of car number plates in motion Recognizing the license plate of a fast passing car is very difficult, especially in poor light conditions. Where the human eye reaches its limits, high-resolution cameras empowered with smart video analytics can help identify speeding or control access systems in streets or parking lots. Traffic surveillance becomes both more reliable and more efficient. For instance, NeuroCar LPR EU is a camera application designed for detection and identification of vehicles and car number plates in motion. The app is not only trained to recognize sequences of letters on plates, but also to country or region of origin. AI video analytics to analyze street layouts Sustainable urban planning needs long-term traffic data, in order to make the right decisions for necessary changes or adjustments in road layout and control. If more than random samples or snapshots are needed, smart surveillance cameras equipped with AI video analytics can provide valid data over a long period of time. Additionally, they turn data into valuable insights. For example, GoodVision Connect captures and digitizes traffic insights from activity on roads and junctions using proprietary AI and provides powerful tools to obtain tedious traffic behavioral parameters in a fully interactive way. This helps transport surveyors and modelers to achieve more productivity and quality in traffic data analytics. Real-time insights to detect traffic anomalies Traffic on busy roads is complex and often difficult to understand because of its dynamics. To avoid traffic jams and reduce the number of accidents, experts around the world are studying the laws of the road. As described above, traffic data is crucial for identifying systematic problems and taking appropriate action to solve them. Smart surveillance cameras can provide this data. Isarsoft Perception offers crowd counting, occupancy monitoring and cross line detection for traffic analysis For instance, Isarsoft Perception offers crowd counting, occupancy monitoring and cross line detection for traffic analysis in a single application. The camera screenshot illustrates how cross lines, drawn directly into video, are used to detect, for example, if vehicles stay in their lanes or tend to change lanes frequently (which can cause traffic jams). FLOW Traffic is another app that enables security cameras to detect traffic anomalies and find the reasons why traffic is not moving as it should. Traffic can be continuously analyzed according to a variety of criteria, such as object types, properties, types of movement, speeds, etc. Controlling and configuring the app is amazingly simple. Monitoring unauthorized traffic Traffic isn’t just about flow of vehicles and pedestrian motion. There are also hidden aspects that cannot be observed easily or even automated using conventional video cameras. A vehicle that drives over a red traffic light is easy to recognize, but a vehicle that is parked in a parking lot longer than allowed often remains undetected. The same applies to parking spaces reserved for disabled people, with parking space surveillance a complex and costly affair. ParkingProtect uses computer vision methods to identify when a parking violation has occurred. Once a violation is detected, a notification with a snapshot of the event is sent to parking space operators or authorities. By using ParkingProtect, surveillance cameras determine whether parking time restrictions are met or whether people leaving their car in a store's customer parking lot actually shop there. This helps retailers keep customer parking under control. There are many ways to take traffic surveillance to the next level and make Smart City traffic safer & free flowing, using smart video technology.
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