The role of Deep Learning 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 and Deep Learning

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 the existing video networks Overcoming the challenge of manually analyzing video feeds from security cameras is one of the biggest tasks for companies and organizations that use video surveillance networks on their premises. Each surveillance network can include a number of cameras that generate a high volume of video data. This...

Fare evasion impact in Washington D.C.
New system upgrades aim to provide more accurate ridership data on subway and bus routes as fare evasion rates increase

Riders on Washington DC subway

Fare evasion is a global problem that manifests in the US as much as it does in other parts of the world. The capital Washington D.C. ranks third in the country for the financial impact caused by fare evasion, after Massachusetts’ Bay Transportation Authority (MBTA) and New York’s Metropolitan Transportation Authority (MTA). In 2019,...

Fare inspections to resume on Toronto’s public transport
After a two-month pause during the pandemic, fare inspectors will gradually resume their normal duties this summer

Toronto tram in operation

TTC – short for Toronto Transit Authority, announced that fare inspectors will gradually resume activity on its premises and vehicles. During June, they will board vehicles once again to ‘remind customers to pay their fare’. They will be placed at key surface transfer points to ‘observe and educate customers and to make sure they...