LONDON--(BUSINESS WIRE)--Technavio’s latest market research report on the global automated security e-gate market provides an analysis of the most important trends expected to impact the market outlook from 2017-2021. Technavio defines an emerging trend as a factor that has the potential to significantly impact the market and contribute to its growth or decline.
The global automated security e-gate market is expected to grow at a CAGR of close to 9% during the forecast period. Countries like the US and those in the European Union (EU) have comprehensive policies for tightening border security. Emerging economies like India and Thailand are also showing interest in using automated e-gates. They are streamlining their border control process to keep up with the increasing number of tourists.
According to Moutushi Saha, a lead analyst at Technavio for homeland security research, “The changing political and economic scenario across various regions on the globe has led to an increase in the number of illegal crossings. It has been estimated that between 1.7 billion and 1.9 billion people illegally crossed the European Union’s border in 2015, which is substantially high compared to 2014 when immigration was below 0.5 billion. This is expected to drive the market for e-gates, as they are a prime instrument for curbing such attempts.”
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The top three emerging market trends driving the global automated security e-gate market according to Technavio research analysts are:
- Facial recognition border control gates
- Boarding gate with explosive detection systems
- Integrated approach to airport security
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Facial recognition border control gates
Biometric technology has evolved to facilitate high-accuracy detection of facial features. Facial recognition offers certain advantages as compared to other kinds of biometrics. The technology is to enable to provide quick and accurate identification of passengers at the boarding gates. There are two steps to the authentication process. First, the facial recognition devices would capture a traveler's facial features along with the boarding pass. Then, kiosks at the gate would perform a facial scan; to verify the identity and authorize boarding.
“An automated security e-gate is an integrated security system. It performs electronic authentication of travel documents, establishes the identity of the person holding the documents, and determines the border-crossing eligibility based on certain pre-defined rules,” says Moutushi.
In April 2016, Aurora Computer Service, a company that specializes in facial recognition unveiled "Facesentinel," at London's Security & Counter Terror Expo. Facesentinel is reportedly the world's first biometric access control authentication product based on deep learning. The product uses artificial intelligence and infrared light to authenticate and provide access in about a second. An artificial neural network facilitates the deep learning. The network is exposed to millions of facial image samples to get trained to recognize faces with high precision.
Boarding gate with explosive detection systems
Global air travel involves huge passenger traffic of different origins. Airports support numerous airline companies, with each company operating flights across multiple geographies. The highly diverse air travel scenario thus creates possibilities of a security breach. A major security concern at airports is the transportation of explosives. Security systems are being designed to identify such instances especially those involving body-borne improvised explosive devices.
In 2012, Hitachi developed a prototype of a high-speed bomb detection gate in collaboration with Nippon Signal and the University of Yamanashi. The gate deployed high-sensitivity mass spectrometry to detect traces of explosives on the passenger's hand. The gate is said to process 1,200 people in an hour and can be used to enhance public safety in airports, train stations, and stadiums.
Integrated approach to airport security
The Smart Security initiative is a joint effort of the International Air Transport Association (IATA) and Airports Council International (ACI). It aims to improve passenger screening efficiency through an integrated approach, which is applied across advanced screening technologies, risk-based security concepts, and process innovations.
As part of advanced screening technologies, the initiative suggests the use of dual/multi-view X-ray systems and computed Tomography screening devices for the screening of passenger luggage. It also suggests the pre-screening of passengers to categorize them according to risk, followed by risk assessment of passengers based on behavior analysis and questioning techniques and ticket purchase characteristics. This would be followed by the allocation of resources in line with the risk profile of passengers whereby algorithms of security scanner and/or the X-ray machine could be switched or the passenger guided towards additional screening.
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