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Artificial intelligence technology can secure sites by scanning major venues for weapons

FOX News

Experts discuss how artificial intelligence is being used to protect venues by screening for items such as bombs, guns, and knives. Artificial intelligence, or AI, is being used to help secure sites from sports arenas to churches and schools. The technology is being used to scan for weapons, including guns, knives and explosives as people walk between standing panels. If a weapon is spotted, security standing by is alerted. Massachusetts based Evolv has used the technology to scan roughly 300 million people across the country since the system went live in 2019, second only to the TSA.


East Midlands Airport closes runway in new drone alert

BBC News

The public are reminded that flying a drone in proximity to an operational airport is an offence under the Civil Aviation Act 1982 and is a huge risk to public safety. The police will take appropriate action if necessary.


Interactive maps reveal the worst areas for noise pollution in London, New York, and Paris

Daily Mail - Science & tech

As three of the busiest modern cities around the world, it should come as no surprise that London, New York, and Paris are buzzing with traffic noise. Now, interactive maps have been developed by climate charity Possible as part of its Car Free Cities campaign, revealing just how intense this noise can be in parts of the three cities. Unsurprisingly, areas with busy roads and those near airports tend to have the highest levels of noise pollution, while areas with large parks tend to have the lowest levels. For example, in New York, noise pollution levels are highest around John F. Kennedy International Airport and LaGuardia airport, and lowest around Central Park. Speaking to MailOnline, Hirra Khan Adeogun, Head of the Car Free Cities campaign, said: 'It's well known how mass private car ownership damages the climate and contributes to toxic air.


What happened to Boeing flight that went down over China?

FOX News

'Special Report' All-Star Panel reacts to a federal judge declaring public transportation mask mandates unlawful. The mystery surrounding the Boeing plane crash in China last month lingers despite authorities recovering the plane's two black boxes and extensive investigations at the crash site. A Boeing 737 jet crashed into a hillside in Southern China on March 21, killing 132 people on board. China Eastern Airlines flight MU5735 was completing a domestic flight when the crash happened. The Civil Aviation Administration of China (CAAC) has led the investigation over the past month, but Wednesday reported that officials found no evidence of systematic failure aboard the plane at the time of the crash.


A day in the life of (almost) every vending machine in the world

The Guardian

A minute before midnight on 21 July 2021, as passengers staggered sleepily through Manchester airport, I stood wringing my hands in the glow of a vending machine that was seven feet tall, conspicuously branded with the name of its owner – BRODERICK – and positioned like a clever trap between arrivals and the taxi rank. I opted for Doritos, keying in a three-digit code and touching my card to the reader so that the packet moved jerkily forwards, propelled by a churning plastic spiral and tipped into the well of the machine. My Doritos landed with a thwap, a sound that always brings relief to the vending enthusiast, because there hasn't been a mechanical miscue. Judged by the clock, which now read 12am, it was the UK's first vending-machine sale of the day. Nine hours later, I was sitting in a spruce office in the Manchester suburb of Wythenshawe, drinking coffee with John "Johnny Brod" Broderick, the man who owned and operated that handsome airport machine. I'd had an idea to try to capture 24 hours in the life of vending machines. With their backs against the wall of everyday existence, they tempt out such a peculiar range of emotions, from relief to frustration, condescension to childish glee. For decades I'd been a steady and unquestioning patron. I figured that by spending some time in the closer company of the machines and their keepers, by immersing myself in their history, by looking to their future, I might get to the bottom of their enduring appeal. What made entrepreneurs from the Victorian age onwards want to hawk their goods in this way? What made generations of us buy? Johnny Brod seemed a good first person to ask. Freckle-tanned, portly and quick to laugh, Broderick has a playful exterior that conceals the fiery heart of a vending fundamentalist. He is a man so invested in the roboticised transmission of snacks that, come Halloween, Johnny Brod has been known to park a machine full of sweets in his driveway, letting any costumed local kids issue their demand for treats via prodded forefinger. With his brother Peter and his father, John Sr, he runs the vending empire Broderick's Ltd, its 2,800 machines occupying some of the most sought-after corridors and crannies of the UK.


SVPIA first in India to assist flyers through video analytics system - ADU

#artificialintelligence

Sardar Vallabhbhai Patel International Airport (SVPIA) has introduced an indigenously developed artificial intelligence (AI) based surveillance service, Desk of Goodness, to help flyers through smart detection techniques. Desk of Goodness aims to serve passengers like senior citizens, women with infants, and passengers in need of a wheelchair. This desk is manned by goodness champions equipped with smart tabs, which keep them updated on possible sites where passengers need support. "Sardar Vallabhbhai Patel International Airport continues to improve infrastructure and services to enhance the passenger experience," said Jeet Adani, Director, Adani Airport Holdings. "AI-based video content analytics plays a crucial role in reaching out to flyers in emergencies. Analytics-based learnings will allow us to set new benchmarks in operational intelligence and increasing situational awareness, thereby improving safety, security and efficiency."


On the Mark with Project Dartmouth - Smart Cities Tech

#artificialintelligence

Pangiam, in collaboration with Google Cloud, has announced details of Project DARTMOUTH, an initiative to transform airport security operations by looking for threats concealed within baggage and other shipments at the airport. This technology will be tested within the security facilities of AGS Airport Ltd, owners and operators of Aberdeen, Glasgow, and Southampton Airports in the UK. Project DARTMOUTH is intended to make air travel safer by integrating AI into airport baggage security and screening operations. The technology will in the first instance be focused on rapidly identifying potential threats in baggage, providing increased throughput at security checkpoints, addressing critical friction points in air travel as well as supporting security teams. In later phases the technology will scale to help tackle other pressure points in security and wider airport operations.


Biometric surveillance: Face-first plunge into dystopia

Al Jazeera

Flying into Dallas Fort Worth International Airport from Mexico in December, I queued in the immigration line for US citizens and was taken aback when – rather than request my passport – the Customs and Border Protection (CBP) agent simply instructed me to look at the camera and then pronounced my first name: "Maria?" Feeling an abrupt violation of my entire bodily autonomy, I nodded – and reckoned that it was perhaps easy to lose track of the rapid dystopian devolution of the world when one had spent the past two years hanging out on a beach in Oaxaca. A CBP poster promoting the transparent infringement on privacy was affixed to the airport wall, and featured a grey-haired man smiling suavely into the camera along with the text: "Our policies on privacy couldn't be more transparent. In my case, the process was not so fast, as I had to hand over my passport for physical scrutiny after I raised the agent's suspicions by being unable to answer in any remotely coherent fashion the ...


Model Generalization in Arrival Runway Occupancy Time Prediction by Feature Equivalences

arXiv.org Artificial Intelligence

General real-time runway occupancy time prediction modelling for multiple airports is a current research gap. An attempt to generalize a real-time prediction model for Arrival Runway Occupancy Time (AROT) is presented in this paper by substituting categorical features by their numerical equivalences. Three days of data, collected from Saab Sensis' Aerobahn system at three US airports, has been used for this work. Three tree-based machine learning algorithms: Decision Tree, Random Forest and Gradient Boosting are used to assess the generalizability of the model using numerical equivalent features. We have shown that the model trained on numerical equivalent features not only have performances at least on par with models trained on categorical features but also can make predictions on unseen data from other airports.


Startup Ottonomy uses the airport to help autonomous delivery take flight

#artificialintelligence

Autonomous robots were a major focus this year at CES, from roaming device demonstrations on the exhibit floor to virtual presentations discussing emerging trends in the space. Autonomous-delivery startup Ottonomy used the Las Vegas event to spotlight its Ottobot, the company's newly named delivery robot capable of navigating "crowded and unpredictable environments" and working indoors as well as outside. Two of Ottonomy's autonomous delivery robots, or ADRs, are operating inside Cincinnati/Northern Kentucky International Airport, where the bots make food, beverage and retail deliveries to passengers waiting to board flights. The autonomous robots, which resemble high-tech coolers on wheels, have a range of 2.5 miles and can operate for six to eight hours before needing to be recharged. The speed of the Ottobots is limited to 5 to 10 mph for safety reasons.