Object, currency & text recognition — daily independence
Identify Indian banknotes, common objects, and printed text — even offline.
SMARTON's Object Recognition feature identifies Indian Rupee notes (₹10 through ₹2000), common household and shopping objects, and printed text on labels and signs. The currency and object recognition models run on-device — works fully offline once installed.
How it works
Point the camera at the item
Hold your phone or wear the SMARTON Kit glasses and point the camera at the currency note, object, or printed text you want identified.
Hear the result instantly
SMARTON announces the result in under a second — '500 rupee note', 'apple', 'Coca-Cola can', or reads any printed text directly.
Works offline for currency and objects
The currency and object recognition models run on-device. Once SMARTON is installed, you can identify notes and objects with no internet connection — critical for shopping in Tier 2 / Tier 3 cities.
Why this matters
Financial independence
Identify Indian Rupee notes (₹10, ₹20, ₹50, ₹100, ₹200, ₹500, ₹2000) before any transaction. Distinguish between similar-feeling notes.
Shop alone
Walk into a kirana store or supermarket and identify products, brands, and prices by camera. Read pricing labels and expiry dates.
Offline by default
The on-device model means no internet required. Identify currency in a crowded market, on a bus, or in any low-connectivity area.
Multi-currency support
Beyond INR, SMARTON identifies major international currencies including USD, EUR, GBP, AED, JPY — useful for travel and remittance handling.
Daily use cases
How blind & visually impaired SMARTON users put this feature to work every day.
- Identify Indian Rupee notes before paying or receiving change
- Distinguish between similar denominations by camera (₹100 vs ₹200)
- Read product labels in a kirana store or supermarket
- Identify common household items in your kitchen or fridge
- Recognise printed text on bills, receipts, packaging, signage
- Verify currency in remittance or travel contexts
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Learn moreReady to try Object · Currency · Text?
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