How IndoAI Helped Municipal Corporation Make Public Spaces Safer, Cleaner, and Smarter with AI-Powered Cameras

Municipal Corporation governs a bustling tier-2 city with over 9 lakh residents. While the city was growing rapidly, its public infrastructure — particularly safety and sanitation — was under stress. Incidents of theft, harassment, and illegal garbage dumping were on the rise, and traditional CCTV setups were proving ineffective.

The corporation wanted to move beyond passive video recording to real-time, AI-powered detection — one that could alert teams before things went wrong.

“We had cameras, yes. But what we needed was visibility. Real, usable visibility. Not footage we checked after a complaint.”

The Problem

Despite years of investment in legacy surveillance, key gaps remained:

How They Found Us

IndoAI was discovered during a Smart City Expo, where our demo on gesture-based distress detection and illegal dumping recognition caught the attention of the Municipal IT Cell.

A live walkthrough of our capabilities — including real-time behavior detection, automatic event alerts, and camera-based sanitation compliance tracking — led to approval for a pilot deployment across high-footfall and high-risk zones.

Our Approach

With the Municipal Smart Surveillance Taskforce, we mapped and prioritized 14 high-impact zones:

In each location, we installed fluorescent yellow IndoAI Edge Cameras — a deliberate choice to ensure high visibility and deterrence. These bright yellow cameras acted as both a visual safety marker and a silent deterrent, reducing crime by mere presence.

Public Awareness & Distress Gesture Campaign

Under every installed camera, IndoAI and the city placed eye-level posters teaching citizens how to silently call for help using a visual distress gesture:

The posters read:

“This is a Smart Safety Zone. In distress? Make the sign. Help will reach you.”

This campaign became a quiet revolution — especially for women, children, and senior citizens unable to call or shout in unsafe situations.

New Addition: Illegal Garbage Dumping Detection

As part of the sanitation mission, we configured IndoAI cameras to detect garbage being dumped in unauthorized areas, especially early morning or late-night hours.

The system flagged events where:

Alerts were automatically pushed to the ward sanitation officer with timestamped snapshots and location.

In some locations, repeat offenders were tracked using IndoAI’s person re-identification system, leading to fines and public notices.

“The day we received a photo of illegal dumping at 4:30 AM — with the exact face of the guy doing it — I knew this system worked.”

Key Use Cases Activated

Challenges We Faced

Timeline

Real Benefits

In the first 30 days:

“What impressed us wasn’t just the cameras — it was how visible they were, how smartly they responded, and how quietly they changed behavior.”

Conclusion

Municipal Corporation didn’t just install cameras — it installed confidence. With IndoAI, the city moved toward a model of intelligent, real-time urban management where citizens feel protected, wrongdoers are deterred, and public spaces are respected.

From distress gestures to garbage detection, this deployment showed that AI can power cleaner, safer, more responsive cities — without increasing manpower or cost.

If your city is looking to move from passive surveillance to proactive urban intelligence, IndoAI is the partner you need.

Want to see it live?

Book a free demo or site assessment now and discover how IndoAI can help your Municipal Corporation become smarter and safer.

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