Litterverse is a conceptual AR ecosystem and blockchain protocol where every in-world action is rooted in one thing: real humans picking up real litter, on real streets, verified by video, geo-location and AI.
Important: This is not a released app or token. It’s a detailed concept, a public framework, and an invitation to builders who are tired of games that don’t fix anything.
Not a single app. Not “just another token”. Litterverse is a stack: an AR game layer, a public cleanup protocol, and an economic engine that refuses to exist without real action.
You turn on the app and the real world turns into a live map: hotspots of trash, streaks of cleaned streets, evolving “zones” that level up when locals keep them clean.
Your camera feed is the main input. The AR overlay shows where others have played, what’s been cleaned, and where your next move could be.
Under the game layer is a rigid protocol: how video is recorded, how objects are detected, how disposal is confirmed, how Littercoins are minted, and how all of that is audited on-chain.
That protocol is meant to be open source and public, like a constitution written in code.
Every verified cleanup mints Littercoins. That’s it. No special faucet, no dev shortcuts, no invisible mint button. Even the original creator must go outside, record cleanups, and earn like everyone else.
Those coins then power whatever people build inside the Litterverse.
This is a proposed pipeline, not a finished product. The core idea: every minted Littercoin is backed by video, geo-data, and verifiable, irreversible evidence that you made reality less awful.
You open the app and tap “Start Cleanup”. Your camera begins recording. A session ID is created. The client captures GPS coordinates and a time signature. Everything from here is tied to that session.
You frame the litter in the camera. Edge models and object detection kick in: bottles, cans, plastic, paper, cigarette butts, whatever. The system estimates type, count, and rough volume in that frame.
You pick up the items on camera. The AI tracks motion and continuity: hands, items, path. It’s watching for fakes — cuts, loops, or obviously suspicious movements.
You walk to a bin or proper disposal point and show the items going in. The model checks continuity from detection → pickup → disposal. If that chain breaks, the cleanup doesn’t count.
On the backend, video is scored: how much litter, what types, where, how long it took, how often that area is cleaned. Anti-abuse logic checks for repeated “staging”, tampering, or low-effort spam.
If the cleanup passes validation, a transaction is created. A cleanup NFT or record is minted with hashed video fingerprints + geo + timestamp. Littercoins are issued according to the protocol and sent to your wallet.
The AR side of Litterverse is not “sit at home and tap icons”. It’s: step outside, see where the world is messy, and watch the game literally build itself around your cleanup path.
The protocol is the non-negotiable part. The goal is to write it once, verify it, and lock it: nobody — not founders, not investors, not future “governance” — gets a cheat code.
A human-run rewards system is a corruption magnet. Litterverse’s endgame is an AI layer that watches the footage, scores the cleanup, and calls the shots consistently.
The AI isn’t a “lore engine”; it’s the referee. Cold, boring, consistent.
Litterverse isn’t meant to be one game. It’s more like a spine you attach your own ideas to, as long as the spinal cord is still “go outside, pick up trash, prove it.”
You can imagine entire “worlds” inside Litterverse:
This is all concept — there’s no app, no token, no launch date. If you want to help design the protocol, build prototypes, stress-test the game layer, or think through the ethics, you’re the target audience.
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