The ease of getting from point A to point B, the effective movement of goods and services, and the flexibility and integration of various modes of transportation are key aspects of mobility today.

Smart Mobility has been a key theme in the transportation industry for a while. The idea is to keep traffic flowing and help people to get where they need to be, in a smarter way. To this end, industry players are now innovating and introducing advanced technologies and solutions. Examples include intelligent traffic management systems, free-flow tolls, autonomous driving, smart location solutions, and more.

At the same time, traffic congestion, aging infrastructure, rapid urbanization, and increasing sustainability demands are also intensifying the need for smart mobility solutions. One way to overcome these obstacles is to use intelligent video surveillance technology for improved traffic management, making the roads safer and more efficient for every user, while also reducing emissions.

Perceptive intersections

Relying on intelligent video analytics, traffic video cameras identify traffic build ups at intersections by counting numbers of vehicles crossing an intersection and detecting their speed, while also counting the number of vehicles queueing in real-time. Aggregated data informs the system when to switch traffic lights to red or green. Intelligent optimization for traffic signals ensures more effective traffic flow.Aggregated data informs the system when to switch traffic lights to red or green

The benefits? Improved safety on the roadways; intersection reconstruction can be avoided; drivers can be advised about the speed of their route, forecasted by traffic signals; reduced wait times and stress for commuters; reduction of harmful emissions; and positive impact on public satisfaction.

Road safety

Traffic incidents can be disastrous, not merely for causing congestion on the roads but sometimes far worse – resulting in injuries and even fatalities. These incidents have many causes, not the least of which is drivers willfully violating traffic laws. Video technology can aid in detecting all kinds of events – for example, illegal parking, running a red light, wrong-way driving, speeding, and making illegal U-turns can all be detected by smart camera technology.

By using deep learning technology, cameras can recognize these events and traffic authorities can be immediately notified and take necessary actions even before traffic incidents occur. Scenarios include stopping a driver who is occupying an emergency lane, or notifying a driver who parked their car illegally. Furthermore, ticketing systems can be incorporated to further regulate driving behaviors.

Benefits here include incident prevention, better driver performance, and increased safety on the roads and streets, to name just a few.

Scenarios include stopping a driver who is occupying an emergency lane, or notifying a driver who parked their car illegally

Public information

Sharing information is key to keeping city drivers and travelers informed. Intelligent communication about warnings and updates helps everyone save time, avoid frustration, and simplify everyday mobility. This can be done via traffic guidance screens displayed at highly visible locationsThis can be done via traffic guidance screens displayed at highly visible locations, such as congested areas, transportation hubs, shopping malls, and city plazas – or even at your fingertips on your favorite mobile apps!

Traffic video cameras generate real-time data of traffic flow and incidents, sending it to a central platform to further fuse with data from third-party systems such as radar and GPS systems. They also disseminate traffic information, including traffic status, warning and advisory notices, as well as parking status. 

The benefits are improved public awareness of traffic information, improved travel convenience, overall enhancement of mobility in the city, and more.

The Hikvision practice

Hikvision has accumulated sophisticated experience in traffic management both at home and abroad. Product lines offer versatile solutions to resolve multitudes of problems in urban traffic management, traffic incident management, highway management, and more.

Going deeper, it’s essential to note that efficient signal control management is dependent on the quality of traffic data, system algorithms, and the hardware devices in use; it is also closely related to the mobile environment, such as road conditions, historical traffic conditions, and urban infrastructure. Because of this, no single solution solves traffic congestion everywhere. Hikvision believes that only by working closely with city authorities, public safety organizations, consultants, even academia and other relevant stakeholders, can applications and operational processes be developed to achieve the best possible outcomes.

The possibilities for traffic video data are endless, especially now that it can employ artificial intelligence for advanced functionality. Harnessing its power will make all the difference, but the ultimate goal remains the same: safe and smooth traffic, smart mobility, and improved quality of human life.

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Fan Yang Vertical Solutions Manager, Hikvision

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Security Technology And AI: A Powerful Duo In The Fight Against COVID-19
Security Technology And AI: A Powerful Duo In The Fight Against COVID-19

A person infected with the Coronavirus (COVID-19) infects an average of 2.5 other people within five days. You do not need to be a mathematician to realize that early detection of infected people is key to successful pandemic containment. The aim of effective containment strategies is therefore not so much to reduce the number of absolute cases as it is to extend the time frame within which they occur. Without effective containment measures, the virus spreads rapidly and is beyond the capacity of the health care system. However, if infection rates can be minimized through early detection and rapid, targeted identification of further infections, cases will continue to occur over a longer period of time and remain within the capacity of the health care system. Identifying, testing and results For example, the goal of many countries is to carry out as many Corona tests as possible to quickly identify infected people. It is then necessary to identify and reach potentially-infected people and isolate them in quarantine. This is a tried and tested procedure. But this method also costs valuable time in the fight against the virus and has many unknowns. The determination of a concrete test result alone sometimes takes up to 48 hours due to limited laboratory capacity. Added to this is the imprecise and slow procedure for determining contact persons. Or do you still remember exactly who and where you shook hands with in the last ten days - and could you provide information on this? Security technology to the rescue When it comes to the time factor, security technology can be a great help. Thermal imaging cameras and temperature sensors, for example, can help to detect a person with elevated body temperatures. Fever can also be one of the symptoms in those infected with the Coronavirus. 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He sees enormous potential in the possibilities of IT and artificial intelligence; "We should use the disruptive changes that are currently taking place and that are challenging global orders to strengthen the significance in IT infrastructure development and also in security technology development.“ The goal in a global crisis And he is right: In global crises such as the Corona pandemic, security-related deficits become apparent and space is created for technical innovations. The goal of governments and companies is to restore security and save human lives as quickly as possible. The German data analytics powerhouse G2K, for example, has developed a Corona Detection & Containment System (CDCS) that is ready for immediate use in record time. Detection takes place in combination with AI-supported data analysis to specifically identify virus hotspots and distribution routes, as well as to identify other potentially infected persons. 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For this purpose, stationary thermal imaging cameras or smartphones equipped with a temperature sensor accessory can be used. The potentially infected person must now be registered and referred to a doctor or hospital for further specific diagnostic measures. The entire process is covered by a mobile G2K application. A combination of security and medicine The platform can bring together available hospital capacity, infection reports, movement and contact profiles and provide an excellent picture of the source of infection. Thus, medically necessary isolations can be implemented quickly. At the same time, infected patients can use the app to document their recovery and become actively involved. All this data is centrally managed and analysed, using deep learning methods. 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Politicians must now immediately push ahead with the unbureaucratic implementation of prevention and control measures such as our CDCS to ensure the stability of our public systems," demands Karsten Neugebauer. The pandemic continues As the COVID-19 pandemic spreads from continent to continent, researchers around the world are working to develop antidotes to the virus. As long as this has not been found, the spread of the virus must be slowed down internationally. Only by this can system-relevant infrastructure be held consistently. Combining modern physical security technology with platform technology and artificial intelligence provides an excellent possibility to slow down the current and for sure, future pandemics.

Face Recognition: Privacy Concerns and Social Benefits
Face Recognition: Privacy Concerns and Social Benefits

News reports and opinion columns about face recognition are appearing everyday. To some of us, the term sounds overly intrusive. It even makes people shrink back into their seats or shake their head in disgust, picturing a present-day dystopia. Yet to others, face recognition presents technology-enabled realistic opportunities to fight, and win, the battle against crime. What are the facts about face recognition? Which side is right? Well, there is no definitive answer because, as with all powerful tools, it all depends on who uses it. Face recognition can, in fact, be used in an immoral or controversial manner. But, it can also be immensely beneficial in providing a safe and secure atmosphere for those in its presence.  Concerns of facial recognition With the increased facial recognition applications, people’s concerns over the technology continuously appear throughout news channels and social media. 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The only difference is that the AI-based face recognition software can do so at a higher speed and without fatigue. Face recognition software only recognizes faces that the user has put in the system, which is not every person on the planet, nor could it ever be. Accuracy concerns: It is true that first-generation face recognition systems have a large margin for error according to studies in 2014. However, as of 2020, the best face recognition systems are now around 99.8% accurate. New AI models are continuously being trained with larger, more relevant, more diverse and less biased datasets. The error margin found in face recognition software today is comparable to that of a person, and it will continue to decrease as we better understand the limitations, train increasingly better AI and deploy AI in more suitable settings. Awareness concerns: While not entirely comforting, the fact is that we are often being watched one way or another on a security camera. Informa showed that in 2014, 245 million cameras were active worldwide, this number jumped to 656 million in 2018 and is projected to nearly double in 2021. Security camera systems, like security guards, are local business and government’s precaution measures to minimize incidents such as shoplifting, car thefts, vandalism and violence. In other words, visitors to locations with security systems have tacitly agreed to the monitoring in exchange for using the service provided by those locations in safety, and visitors are indeed aware of the existence of security cameras. Face recognition software is only another layer of security, and anyone who is not a security threat is unlikely to be registered in the system without explicit consent. The benefits In August 2019, the NYPD used face recognition software to catch a rapist within 24 hours after the incident occurred. In April 2019, the Sichuan Provincial Public Security Department in China, found a 13-year-old girl using face recognition technology. The girl had gone missing in 2009, persuading many people that she would never be found again. Face recognition presents technology-enabled realistic opportunities to fight, and win, the battle against crimeIn the UK, the face recognition system helps Welsh police forces with the detection and prevention of crime. "For police it can help facilitate the identification process and it can reduce it to minutes and seconds," says Alexeis Garcia-Perez, a researcher on cybersecurity management at Coventry University. "They can identify someone in a short amount of time and in doing that they can minimize false arrests and other issues that the public will not see in a very positive way". In fact, nearly 60% Americans polled in 2019 accept the use of face recognition by law enforcement to enhance public safety. Forbes magazine states that “When people know they are being watched, they are less likely to commit crimes so the possibility of facial recognition technology being used could deter crime”. Saving time  One thing that all AI functions have been proven to achieve better results than manual security is speed. NBC News writes, “Nearly instantaneously, the program gives a list of potential matches loaded with information that can help him confirm the identity of the people he’s stopped - and whether they have any outstanding warrants. Previously, he’d have to let the person go or bring them in to be fingerprinted”. Facial recognition can also be immensely beneficial in providing a safe and secure atmosphere for those in its presence With AI, instead of spending hours or days to sift through terabytes of video data, the security staff can locate a suspect within seconds. 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Axis Expects Body-Worn Camera System to Expand the Technology Use Cases
Axis Expects Body-Worn Camera System to Expand the Technology Use Cases

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The new body-worn camera system was designed with Axis partners and ecosystem in mind, says Martin Gren, Founder and Director of New Projects at Axis. “We try to make it fit with existing customers.” Deploying and using the system The new body-worn camera system was designed with Axis partners and ecosystem in mind Gren says the system is easy to deploy and use. The Axis W100 camera provides 1080p images, wide dynamic range (WDR) and has dual microphones, operating 12 hours on a single charge. GPS/GNSS global satellite navigation provides location, and a six-axis gyroscope and accelerometer offer additional data beyond the video image. For example, sensors might be triggered in some situations to initiate recording.  One-bay (Axis W700) or eight-bay (Axis W701) docking stations enable high-speed supervised data offloading and battery charging, and a system controller (Axis W800) provides a central point for integration and management. 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