Photo-checked clearing of chronic garbage spots, paid per spot kept clean
TL;DR Clearcorner keeps an eye on the street corners where garbage keeps piling up and proves, with timed photos, whether each one was cleared and stayed clear. City bodies and their collection contractors pay per spot monitored. You're selling accountability for a problem everyone already knows about, not new bins.
Every Indian city has corners where people dump bags because collection is late or simply doesn't happen. Swachh Bharat calls them garbage vulnerable points. Jammu and Kashmir alone reported clearing more than 450 major ones by December 2025, and it listed stopping re-dumping as a goal of its own[3].
The usual tech answer has gone badly. Dharamsala planned 225 underground bins with fill sensors at about ₹12 crore, and by 2019 they were overflowing and the alerts weren't working[1]. The city later pulled out 121 bins after spending about ₹40 crore and went back to door-to-door pickup[2].
The seed pitched smart AI bins. I reframed it, because India's best-known sensor-bin rollout failed on maintenance and follow-up and not on sensing. The weak point is what happens after the alert.
Here's how it works. Clearcorner maps a ward's chronic dumping spots and puts each one on a schedule. Sanitation supervisors take geo-tagged, time-stamped photos before and after each clearing through a simple app. At the 10–20 worst spots, a cheap solar camera takes a still every hour. An image model flags a spot that has filled up again, and the ward officer gets a short daily list of which spots were missed, which keep coming back and how long each stayed dirty.
The output is a monthly scorecard per contractor and per ward that a commissioner can tie to payment. The cameras point at waste and not faces, so frames are cropped and people are blurred before anyone sees them.
The buyer is the urban local body's health or solid-waste department, which already pays collection contractors and reports to the Swachh Bharat mission. Contractors are a second buyer, since a clean scorecard protects their payments. Large campuses and industrial estates with their own dumping corners are a smaller but faster market. Pricing would be per spot per month. No public benchmark exists, so you'll have to test it.
The Solid Waste Management Rules 2026 took effect on 1 April 2026 and move the system toward digital monitoring and four-stream segregation[4]. Cities are now judged on outcomes they have to show, and cheap solar cameras and phone photos make proof affordable at ward scale.
There is no public national count of garbage vulnerable points and no market figure for monitoring them. The firmest signals are indirect - one hill town spent about ₹40 crore on bins meant to solve the same problem[2], and a single union territory reports 450+ major spots cleared[3]. Treat both as proof of budget and pain, not market size.
A Korean smart-waste firm sells fill-level sensors, solar compactor bins and collection software to cities worldwide[5]. In India, smart-city command centres mostly track vehicles and not whether a corner stayed clean. The Dharamsala vendor sold hardware and left[2]. So the gap is a neutral, low-hardware service that checks the outcome and survives the next tender.
| Difficulty | Moderate (45/100) |
| Starting capital | ₹60 L–1.1 Cr |
| Time to launch | 6–9 months |
The software is modest. The hard part is selling to city bodies, which buy through tenders and pay late, and getting supervisors to take photos every single day. Cameras on poles get stolen or knocked askew (welcome to Indian streets), so field upkeep needs a plan from day one.
No sector licence covers the service itself, but you sell to city bodies and point cameras at public streets.
Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.
Don't let the model decide contractor penalties on its own. A person should review any missed-spot finding before it touches a payment.
Want to work out the AI layer for Clearcorner? Talk to Yash →
Here's what can go south -
I think this is worth a look if you've sold to municipalities before and can run field teams. If you want a hardware product then skip it, since that route has already failed here. Prove first that one ward officer will pay to see which contractor misses which corner.
Plan for roughly ₹60 L–1.1 Cr, covering field staff, a few solar cameras, the app and the long wait for city payments.
No sector licence. You need vendor registration for tenders, written permission for cameras on poles, DPDP compliance for camera frames and the usual company and GST registration.
Yes, wherever cities pay contractors to clear streets. Check local procurement rules and privacy law on street cameras first.
The free Clearcorner validation kit has the line-by-line capital breakdown, the effort scoring, the procurement and data-protection checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for city officials and contractors, and 5 assumptions to test. Download the kit →
Thinking about building Clearcorner or something close to it? The make-or-break step is getting one city body to tie contractor payments to your scorecard, and that's the kind of thing I help founders work out. If you need a hand, you know where to find me. Talk to Yash →
For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.