In a stunning revelation from Kerala’s roads, a lone biker from Kannur district has not only tested the limits of traffic rules but also become the talk of the town for setting an unprecedented record – receiving a whopping ₹86,500 fine for 155 violations captured by AI cameras. This incident marks the highest AI camera fine in the state, raising eyebrows and sparking debates on road safety enforcement.
Kerala’s Road Rebel: A Biker’s Staggering 155 Violations
The tale unfolds in Matool, Kannur, where an AI camera diligently documented a motorcyclist flouting the law by riding without a helmet, not once or twice, but a staggering 155 times. The culprit, well-aware of the surveillance, seemingly turned this into a reckless routine, challenging the camera’s watchful gaze repeatedly.
The Eye in the Sky: Kerala’s AI Camera Enforcement
Kerala’s state government, as part of the Safe Kerala Project, implemented a network of AI cameras across National and State Highways. These vigilant cameras, installed at the cost of ₹232 crores, aim to curb road accidents and violations. The bold move to automate the detection and fining process has indeed made an impact, evident in the decreasing road accident rates post-installation.
AI Camera’s Verdict: A Staggering ₹86,500 Fine and License Suspension
When the Motor Vehicle Department (MVD) finally took action, it handed the persistent violator a challan amounting to ₹86,500, the highest fine recorded by an AI camera in the state. Adding to the punitive measure, the rider faced a one-year suspension of their driving license. The MVD’s repeated warnings and notices went unanswered, and the biker continued their unabated rule-breaking spree.
Kerala’s Safe Kerala Project: Impact and Criticism
While the Safe Kerala Project has witnessed success in reducing road accidents, it has not been without criticism. The incident of the relentless biker highlights the fine line between enforcement and excessive penalties. As the Kerala government continues to refine its approach, incidents like these spark conversations on the balance between technology-driven safety measures and their impact on individuals.
