ITMS e-challans help auditors spot Bengaluru's unregistered vehicles

India's CAG matched registry samples against e-challans from Bengaluru's AI-camera traffic system and found that 52 of 300 vehicles with lapsed registration, or 17.33%, were on the road.

  • 2 for an organization

    The e-challans let the auditors show that 52 of 300 vehicles with lapsed registration, 16 of 90 with expired fitness certificates and 12 of 167 tax defaulters were on the road.

  • Not rated society

    The report does not say that any vehicle was stopped or any fee or tax recovered as a result.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Reported benefit.
Evidence

foundstudiedreportedclaimed

An independent audit report supports the benefit.

The system’s part
Not isolated. The auditors used ITMS e-challans as evidence of vehicle movements and did not test the cameras. In a footnote, the report describes ITMS as using AI-powered cameras, sensors and adaptive traffic control systems, and it gives no model details. The report does not show that the cameras learn from data.
Not yet checked
LimitsCosts and harmsLearns from dataLater outcome

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Benefit type
Improved Knowledge Discovery
System
Intelligent Traffic Management System (ITMS) with AI-powered cameras
Made by
Not named in the report
Used by
Bengaluru traffic enforcement through Karnataka's Intelligent Traffic Management System (the report does not name the agency that runs it)
Where
Bengaluru, Karnataka, India
Stage
In routine use
Date
, when the source was published
Kind
Aggregate result
Broad benefit
Identifying Objects, Actions, and Events, Documenting/Recording Information
Collections
Scrutiny and findings
Last revised
1 November 2026

Sources

  1. Audit report, by authors with no tie to the system.

    Comptroller and Auditor General of India. Report on State Revenues for the period ended March 2024, Government of Karnataka, Report No. 3 of 2026. Chapter V, Subject Specific Compliance Audit on Functioning of Regional Transport Offices in Karnataka. Paragraph 5.4.3.2 and footnote 87, report pp. 74-75. The auditors cross-checked the VAHAN sample against ITMS e-challans themselves.

    Audit randomly selected 300 vehicles from three Bengaluru RTOs from the VAHAN database. These were cross-verified with e-challans generated from the Intelligent Traffic Management System87. The analysis showed that 52 vehicles (17.33 per cent) were on the road one to three years after RC expiry.
    defaulting vehicles in five RTOs with E-challan data showed that 12 vehicles (7 per cent) continued to ply on roads.
    Further, sharing the list of tax defaulters with the Traffic Police could help in verification of such vehicles' operations. However, no such action was taken by the RTOs or the Department.

Details

AI system

Workflow

AI-powered ITMS cameras in Bengaluru captured vehicle movements and generated e-challans for traffic violations. The auditors drew random samples from the VAHAN registry and matched them against the e-challans.

Benefits

Expected?

No

Follow-up

Conditions for replication

The vehicles must be registered where AI cameras capture vehicle movements, which held only for Bengaluru. The Transport Department must share such data with the police for the findings to lead to enforcement.

Entry details

Sector

Motor vehicle registration and tax enforcement.

Purpose

A developer that the report does not name built Karnataka's Intelligent Traffic Management System to monitor, manage and enforce traffic rules with AI-powered cameras, sensors and adaptive traffic control. The auditors put its e-challan records to a second use.

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model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). ITMS e-challans help auditors spot Bengaluru's unregistered vehicles (AIBD-1145). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-1145.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

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