Inventory of airport black technology: Is it good to run to catch a plane?
OFweekrobotWith the increasing popularity of the cost of sensors and the concept of the internet of Things, many airports around the world have begun to borrow more of the power of technology to accelerate passenger commuting efficiency and further ensure flight safety. Whether it is fingerprint recognition, facial recognition, self-service baggage check or high-tech security systems, they have gradually appeared in major airports around the world recently. We are almost certain that as airports further embrace black technology, the efficiency and travel experience of passengers will be greatly improved. In the future, we may be as convenient as taking a car to travel by plane.
automatic parking robot
Düsseldorf, Germany, deployed a system called “Ray” at the airport due to tight parking spaces at the airport. Simply put, “Ray” is a set of automatic parking devices that can help people complete airport parking in the fastest, most comfortable and convenient way.
The specific operation process is as follows: passengers first make an appointment on the airport’s website and enter flight information; then, they drive the car to the parking space and lock the car; the system reads the license plate number to determine the parking position of the car, and then The robot “Ray”, which looks like a large forklift, moves the car to that location.
The point of this technology is that every night, “Ray” will rearrange the garage, so that passengers who land the next day can quickly retrieve their cars. And this system can track whether the passenger’s flight is delayed or canceled, and whether the car is ready when the passenger disembarks.
It is reported that each “Ray” sells for about $250,000, which is far less than the cost of building a new garage.
San Francisco International Airport’s Terminal 2 began installing 350 beacons in 2015, and is currently testing an app to give voice directions to visually impaired passengers. American Airlines has also decided to deploy beacons to help passengers find their way, with Dallas-Fort Worth International Airport in Dallas taking the lead.
In addition, beacons deployed at Virgin Atlantic’s London waiting hall and Cathay Pacific’s San Francisco waiting hall can identify incoming members and provide them with information such as food and beverage menus.
According to a survey by aviation telecommunications company SITA this year, 44% of airlines plan to adopt beacons by 2018, and the proportion of airlines currently experimenting with the technology has reached 9%.
George Bush Intercontinental Airport in Houston earlier this weekntinental Airport and Boston Logan International Airport) has begun experimenting with facial recognition technology on some flights. But it should be pointed out that although the US Congress has repeatedly approved the proposal to use biometric technology for customs clearance verification on non-US citizens, Congress has never approved the use of this technology on US citizens.
According to Houston Customs and Border Protection officials, after the technology is enabled, U.S. citizens who are determined by the system to match their passport photos can automatically pass through border crossings, while live pictures used for matching will be released after “a period of time”. Removed for privacy reasons. At the same time, these live pictures will also be compared with photos of “no-fly” personnel in the US customs system to prevent as much as possible someone trying to get on the plane with a fake passport.
According to Kyodo News, Japan’s Ministry of Justice recently revealed that it plans to start from 2018 at Narita (Chiba), Haneda (Tokyo), Chubu (Aichi) and Kansai (Osaka) four airports with high traffic flow. The entry-exit inspection for Japanese has officially launched an automatic gate that uses facial recognition technology for identity confirmation.
The move is aimed at reducing the workload for examiners to deal with the increasing number of foreign arrivals.
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In May, Delta piloted a facial recognition check-in machine at Minneapolis-St. Paul International Airport. The machine is equipped with facial recognition technology, and after successfully comparing the passport photos of passengers, passengers can use the machine to check in their luggage.
Delta Air Lines spokesman Ashton Morrow (Ashton Morrow) said the company plans to spend $600,000 (about 4.097 million yuan) to invest in four self-service check-in machines equipped with facial recognition. Handle twice as much luggage, a move that will significantly reduce the waiting time for passengers at the check-in gate.
Predict airport queue wait times
QueueAnalyzer is a technical solution specially developed by the International Aviation Telecommunications Association (SITA) for queuing management. It integrates mobile phone Bluetooth, Wifi sensors, cameras, airport and airline analysis systems and other equipment. The high-precision algorithm operation of historical data predicts the waiting time of the airport’s easily congested nodes, and then transmits the information to passengers in real time through the airport’s large screen, website and mobile application.
In other words, this technology brings a rare time certainty to passengers’ travel, ensuring that the route they choose is the best. At the same time, the airport can use the predicted waiting time to reasonably deploy on-site personnel, optimize security inspection re
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