NYC Subway Measures Fare Evasion Using AI
MTA chooses AWAAIT's AI-technology for subway fare evasion monitoring

NYC Turnstiles © Asael Peña / Unsplash

The Metropolitan Transportation Authority (MTA), which operates New York City’s subway, has started employing artificial intelligence (AI) to combat the growing issue of fare evasion, a problem that costs the city hundreds of millions each year.  The AI surveillance software, created by the Barcelona-based company AWAAIT, has been in use in seven subway stations...

The Challenge of Measuring Fraud in Public Transport
Methods, Limitations and the Assistance of AI

The Challenge of Measuring Fraud in Public Transport, Transit, Fare Evasion, AI, video analytics Midjourney image prompted by AWAAIT

Challenges in Measuring Fare Evasion Fraud in public transportation is a major issue that causes significant financial and operational challenges for public transport operators. However, accurately measuring the extent of fare evasion is a challenging task, as current methods of measuring fare evasion have significant limitations. The good news is that artificial intelligence (AI)...

The role of AI Video Analytics for reducing fare evasion in public transport
Transport managers can draw more value from their video surveillance networks by employing intelligent Video Analytics using AI

Ticket inspector looks at a sequence of images showing fare evaders on Awaait's video analytics app (note: the scenes in the app are a simulation played by actors) A ticket inspector checks a fare infraction alert on the real-time fare evasion detection app developed by Awaait (note: the scenes in the app are a simulation played by actors)

Making better use of existing video networks Overcoming the challenge of manually analysing video feeds from security cameras is one of the biggest tasks for companies that use video surveillance on their premises. Security agents have to spend many hours checking multiple computer screens, and oftentimes there are not sufficient agents to review all...

Deep Learning Video Analytics for protecting public transport revenues, assets, passengers and mobility
AI Video Analytics helps to tackle fare evasion by analysing video streams in real-time

A ticket inspector checks screenshots of a fare evasion incident on the Awaait's real-time video analytics app A ticket inspector checks screenshots of a fare evasion incident on the Awaait's real-time video analytics app

Fare evasion is the unlawful act of traveling in public transport without paying for the trip. It is a corrosive problem in many public transit systems around the world, causing feelings of unfairness and insecurity among paying passengers, and financial losses worth billions of dollars yearly. Some metro and commuter train operators deploy mass...