AI-Powered Fare Evasion Detection System
Our AI-driven video analytics solution measures and detects fare evasion cases in real-time. With a selective approach, it enables ticket inspectors to run targeted inspections, and provides 24/7 data to develop operational, safe, and secure strategies to reduce fare evasion.
Maximize Operational Impact
Target buses with higher fare evasion, reduce unnecessary checks and maximize the impact of your inspection team
Improve Passenger Satisfaction
Use focused, data-driven inspections to minimize inconveniences to paying passengers.
Protect Revenue
Safeguard revenue by increasing the deterring effect of your fare enforcement team and onboard camera systems.
Fare Evasion: A Critical Challenge in Bus Networks
Fare evasion is a widespread issue that undermines the financial sustainability of public transport networks, compromises fair fairness, and affects passengers’ sense of safety. Detecting and monitoring fare evasion in bus networks is particularly challenging. While some operators attempt to estimate fare evasion by comparing ticket validations to data from Automatic Passenger Counting (APC) systems, this approach usually results in a general overview rather than accurate and actionable data.
How it works
OFFENSE DETECTION
Seamless Monitoring
Our onboard AI-powered video analytics analyze video streams from bus surveillance cameras in real-time to identify fare evasion events as they happen.
MOBILE ALERTS
Smart Bus Targeting
At the bus stop, ticket inspectors wait and board the upcoming bus with the highest number of fare evaders.
TARGETED INTERVENTIONS
Smart Decision-Making
Inspectors receive video clips of fare evaders, allowing them to assess risk and decide whether to intervene, reducing conflicts. When necessary, faces are automatically blurred to protect passenger privacy.
Comprehensive Statistics
Strategic Planning: The granular data is available in hourly, daily, weekly, and monthly intervals, enabling transit managers to optimize operations and strategically plan interventions for maximum impact.
Proven Success in Dubai: over 90% Accuracy in Fare Evasion Detection
During a three-month Proof of Concept in Dubai, conducted in collaboration with the RTA and CISCO, and under CISCO’s Country Digital Acceleration Program, our technology achieved over 90% accuracy in identifying fare evasion. Transit officers commended the solution for its user-friendliness and its significant potential to enhance fare enforcement on urban buses. While Time-of-Flight sensors were used in Dubai, AWAAIT is now conducting additional trials in another city, using only standard video cameras to provide a simpler and more cost-effective operational solution.
Scalability and Flexibility: Tailored to Your Operational Needs
Our solution effortlessly scales to meet diverse operational and regulatory demands. It seamlessly integrates with existing bus systems, offering advanced privacy options and customizable features—whether you require basic fare evasion statistics or comprehensive visual data.
Want to Measure and Reduce Fare Evasion on Buses?
Discover how our AI-driven solutions can help you measure and reduce fare evasion effectively, decide and test different fare evasion deterring strategies and tactics, and gain immediate insight on their effectiveness.