Municipal transport departments across India are struggling with algorithmic errors after automated traffic cameras repeatedly misidentified clothing, personal belongings, and license plates. Beyond software misclassifications of seat belts and headwear, authorities also grapple with faulty vehicle identity records and manual review lapses. In Kharghar, for example, a police officer compounded the technology's shortcomings by misreading a registration number that had a stray dot on the plate.
Key points
Flawed computer vision models frequently misinterpret common clothing and carried cargo a…: Flawed computer vision models frequently misinterpret common clothing and carried cargo as traffic rule infractions.
Automatic number plate recognition tools struggle with physical plate defects, leading to…: Automatic number plate recognition tools struggle with physical plate defects, leading to widespread issuance of duplicate or erroneous tickets.
Human oversight procedures are currently failing to catch obvious system errors before au…: Human oversight procedures are currently failing to catch obvious system errors before automated fines are sent to drivers.
Sources checked by our analysis pipeline: 1
BENGALURU: Imagine being fined because a guitar strapped to your back is mistaken for a helmetless pillion rider. Or receiving a challan for not wearing a helmet when you are wearing a turban. For some motorists, these are not hypothetical situations but real encounters with automated traffic enforcement.
As AI-powered cameras become increasingly common on Indian roads, can technology designed to minimise human error avoid making mistakes of its own?
But, the bigger question remains: who takes responsibility when technology gets it wrong?
Souvik Dutta was riding his wife’s scooter through Bengaluru with a guitar strapped to his back. An AI camera on Outer Ring Road saw something else: a pillion rider without a helmet.
The camera captured him at noon on September 15. A Rs 500 challan for “pillion not wearing protective headgear” was generated, with photographic evidence attached.
Bengaluru traffic police adopted an AI-based system in December 2022 and initially operated it without human validation. After complaints about incorrect number-plate readings, the report said, they began manually validating every violation flagged by the AI.
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