Does the system require new hardware?

No. The solution works with existing CCTV infrastructure. Additional cameras may be recommended for better coverage, but specialized fare gates or sensors are not necessary.

How accurate is AI-based fare evasion detection?

The system is trained on real-world public transport scenarios and performs reliably in crowded environments, peak hours, and varying lighting conditions. Detection accuracy can be optimized during deployment and tuning.

Can the system work in open or barrier-free stations?

Yes. Fare evasion detection is especially effective in open stations and barrier-free environments where traditional turnstiles are not available or practical.

Does the system identify or recognize individuals?

No biometric identification is used by default. The system focuses on detecting behavior, not identifying passengers, and can be configured with anonymization options.

How are fare evasion incidents reported?

Detected incidents can trigger real-time alerts with snapshots or video clips and are stored in an analytics dashboard for review, reporting, and audit purposes.

Can it be integrated with existing transport systems?

Yes. The platform supports integrations with transport management systems, ticketing platforms, security software, and third-party analytics tools via APIs.

Is the solution scalable?

Absolutely. It can be deployed at a single station or scaled across an entire city or transport network with centralized management.

Safety & Compliance

Fare Evasion Detection

AI-powered fare evasion detection software for public transport. Detect fare evasion in real time using video analytics, reduce revenue loss, and improve operational efficiency.

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Real-time inference

On-premise or cloud

GDPR compliant

REST API & SDK

VEZHA AI ENGINE • LIVE

ACTIVE

Real-time

MATCH ✓CAM-01 4K

SCANNING...CAM-02

Real-time

Detects tailgating, turnstile jumping and barrier bypassing live

Multi-zone

Tracks passengers across gates, platforms and access points

AI Active

VEZHA Platform

Real-time

Detects tailgating, turnstile jumping and barrier bypassing live

Multi-zone

Tracks passengers across gates, platforms and access points

Smart search

Find evasion events by time, station, gate or behavior

Capabilities

Advantages

Detect and classify common fare evasion behaviors in real time (tailgating, turnstile jumping, barrier bypass)

Monitor fare control zones continuously using existing CCTV near gates, turnstiles, and access points

Configure custom zones, lines, and rules to match each station layout and enforcement policy

Generate instant alerts with visual evidence (snapshots or video clips) for operator review

Reduce false alarms with adaptive logic tuned for crowds, peak hours, and complex passenger flow

Search incidents by time, station, gate, direction, and behavior type to speed up investigations

Store events for analytics, reporting, and audits — building a measurable picture of revenue leakage

Support evidence-based enforcement by highlighting hotspots, peak times, and recurring patterns

Deploy flexibly (on-premises, edge, or hybrid) without adding hardware at every entry point

Maintain privacy with configurable anonymization and no biometric identification by default

Process

How It Works

Monitor Continuously

The solution combines computer vision, behavioral analysis, and real-time event processing to continuously monitor fare control zones.

Capture Video Streams

CCTV cameras installed near gates, turnstiles, or access points provide live video feeds to the system.

Analyze Passenger Behavior

AI models process video streams in real time, analyzing passenger movement and behavior patterns.

Detect and Classify Events

Fare evasion actions such as tailgating or bypassing barriers are automatically detected and classified.

Generate Alerts and Evidence

When predefined conditions are met, the system generates alerts, snapshots, or video clips for operators.

Store and Report

All detected events are securely stored for analytics, reporting, performance tracking, and audit purposes.

Integrations

Works With Your Existing Stack

Deploy alongside your current cameras, hardware, and VMS - no forklift upgrade required.

IP Cameras

Any ONVIF / RTSP stream

Axis CommunicationsBosch Security SystemsDahua TechnologyHanwha VisionHikvisionVivotekUniview (UNV)MilesightRTSPONVIF

VMS Platforms

Native plugin & SDK support

VMS VezhaMilestoneGenetecNx WitnessAvigilon

Edge Hardware

GPU-accelerated inference

NVIDIA JetsonIntel NUCGPU ServerCloud

Fare evasion is the act of accessing public transport services without a valid ticket or authorization. It commonly occurs through behaviors such as tailgating, jumping turnstiles, bypassing barriers, or entering restricted zones — resulting in measurable revenue losses for transit operators.

What Is Fare Evasion Detection?

Fare evasion detection is an AI-based video analytics solution designed to identify passengers who access transport services without valid tickets. The system analyzes video streams from existing cameras to detect behaviors such as:

Tailgating behind paying passengers
Jumping or bypassing turnstiles
Ducking under barriers
Unauthorized entry through restricted zones

By detecting these actions automatically, transit authorities can move from random inspections to smart, evidence-based enforcement.

Fare evasion remains a persistent challenge for transit operators, leading to significant revenue losses and uneven enforcement. Common behaviors include tailgating, jumping turnstiles, and unauthorized access through restricted zones — often occurring during peak passenger flow.

How Incoresoft Fare Evasion Detection Works

The solution combines computer vision, behavioral analysis, and real-time event processing to monitor fare control zones continuously.

Core Workflow

Video streams are captured from CCTV cameras installed near gates, turnstiles, or access points
AI models analyze passenger movement and behavior in real time
Fare evasion events are detected and classified
Alerts, snapshots, or video clips are generated for operators
All events are stored for analytics, reporting, and audits

The system works without disrupting passenger flow or requiring additional hardware at every entry point.

Evasion incidents frequently go undetected due to crowded stations, complex layouts, and limited inspection staff. Without structured monitoring, operators lack reliable data on where, when, and how revenue leakage occurs.

Key Features

AI-Based Behavioral Detection — detects multiple fare evasion scenarios using deep learning models trained on real-world transit environments.

Real-Time Alerts — instant notifications with visual evidence allow staff to respond immediately or review incidents later.

High Accuracy in Crowded Environments — designed to operate reliably in peak hours, dense passenger flows, and complex station layouts.

Flexible Deployment

On-premises
Edge-based
Hybrid or cloud-integrated

Advanced Analytics Dashboard

Number of fare evasion incidents
Peak times and locations
Trends by station, gate, or route
Effectiveness of enforcement actions

Use Cases of Fare Evasion Detection

Metro & Rail Systems

Monitors turnstiles, open gates, and station entry points to detect fare evasion in high-traffic environments.

Bus & BRT Networks

Detects unauthorized boarding through front or rear doors, even in mixed-access and high-volume scenarios.

Light Rail & Trams

Identifies fare evasion on open platforms without physical barriers, maintaining smooth passenger flow.

Transit Hubs & Interchanges

Covers complex passenger movements across multiple access zones with centralized monitoring and analytics.

Fare Evasion Detection vs Traditional Methods

Traditional InspectionsIncoresoft AI Detection

Random checksContinuous monitoring

Labor-intensiveAutomated detection

Limited coverageFull-time visibility

Reactive enforcementProactive prevention

No analyticsActionable insights

Applications of Fare Evasion Video AI Solution

Safe City

In open urban environments, fare evasion may occur in tram stops, bus corridors, and open-access transport zones. Video analytics helps municipalities monitor unauthorized boarding and identify high-risk locations without intrusive controls.

Retail

In transport-linked retail spaces such as metro stations or shopping hubs with integrated transit access, analytics can detect unauthorized passage between paid and unpaid zones, helping operators protect revenue and control access points.

Industry

In industrial sites with controlled transport or shuttle access, fare or access evasion can occur at entry checkpoints. Monitoring ensures that only authorized personnel use transport services or restricted mobility corridors.

Education

In large campus environments with controlled transport systems or gated shuttle access, analytics can detect unauthorized entry into paid or restricted transit areas, supporting fair and secure access management.

Public Transportation

Fare evasion is a critical challenge for transit systems. Smart monitoring detects tailgating, turnstile jumping, and barrier bypassing — helping operators reduce revenue leakage and deploy inspections more effectively.

Private Property

In gated communities, private transport systems, or paid parking facilities, video analytics can detect unauthorized vehicle or pedestrian access, preventing revenue loss and maintaining controlled entry policies.

Fare evasion monitoring must balance enforcement effectiveness with passenger privacy. Modern transit systems require solutions that protect personal data while meeting strict regulatory standards.

Privacy & Compliance

The system is designed with privacy and regulatory compliance in mind:

No biometric identification by default
Configurable anonymization options
Compliance with GDPR and local data protection regulations

Selecting the right technology partner is critical for reliable fare evasion detection. Operators require proven computer vision expertise, adaptable deployment models, and long-term scalability.

Why Incoresoft

Proven Computer Vision Expertise — Incoresoft specializes in AI-driven video analytics, computer vision, and intelligent monitoring systems for real-world environments.

Custom-Tailored Solutions — we adapt detection logic, alert rules, and dashboards to your infrastructure, passenger behavior, and enforcement policies.

Seamless Integration — easily integrates with:

Existing CCTV systems
Transport management platforms
Security and incident management software
Data analytics tools

Scalable Architecture — from a single station pilot to city-wide deployments.

FAQ

Frequently Asked Questions

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