AI heatmaps, CCTV & crowd control: How Bengaluru cops ensured a calm New Year’s Eve | Bengaluru News

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AI heatmaps, CCTV & crowd control: How Bengaluru cops ensured a calm New Year’s Eve

Bengaluru: A month of planning, simulations, and quiet coordination lay behind what turned out to be a largely incident-free New Year’s Eve in Bengaluru, as city police leaned heavily on data, Artificial Intelligence tools, and old-fashioned crowd control to keep celebrations in check.From early Dec, senior officers began poring over footage from previous years, identifying patterns that had repeatedly led to trouble. The most persistent problem, they concluded, was not the midnight rush itself but what followed. After 1am, crowds lingering on Brigade Road and MG Road would often disperse only to drift back, creating flashpoints for scuffles, harassment, and vandalism.This year, police attempted to break that cycle. AI-based heatmap analysis, integrated with the city’s CCTV network in the central business district (CBD), allowed officers to track crowd density and movement almost in real time. The system flagged hotspots using colour codes, much like a navigation app, updating every five minutes. Field officers were then instructed to intervene immediately, clearing or redirecting crowds before congestion built up.Police commissioner Seemant Kumar Singh told TOI that technology gave them an edge they had lacked earlier. Instead of reacting after a situation escalated, officers could see pressure points forming and act pre-emptively. Importantly, celebrations inside pubs, restaurants, and hotels were left undisturbed. The focus was on preventing large groups from occupying the same stretch of road for long periods or moving in loops between venues.That segregation, police believe, reduced friction. By keeping street crowds moving and separate from those exiting establishments, they avoided sudden confrontations between groups with different levels of intoxication and intent.On the ground, additional measures were visible. “Magic boxes” — temporary control points used to regulate pedestrian flow — were installed at key junctions. Facial-recognition cameras were deployed in sensitive stretches, and officers were trained to read body language, particularly among young revellers gathering in large groups.Special attention was paid to women, families, and the elderly. DCP (Central) Hakay Akshay Machindra said: “Vulnerable groups were guided along footpaths and shielded from aggressive crowds. Groups showing signs of mischief were quietly broken up, and some individuals were denied entry into MG Road and Brigade Road.”The policing effort extended beyond the streets. In the weeks leading up to Dec 31, officers carried out at least 15 checks at hotels and lodges to rule out security threats. Cases were booked against property owners who failed to inform cops about foreign tenants. Unlicensed establishments were shut, and a citywide CCTV audit ensured private cameras covered roads and stored footage for longer durations.Behind the scenes, over 30 measures were finalised through coordination meetings with pub owners, BMRCL, Bescom, fire and emergency services, excise department, and other agencies. Lessons from past incidents, including stampedes and cases of sexual harassment, shaped the blueprint.For Bengaluru police, the calm night was not accidental. It was the outcome of planning that treated NYE less as a festival to manage and more as a complex urban operation to be predicted, mapped, and quietly steered.



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