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A Vision Agent That Verifies Thumbprints in Under 10 Seconds
CLEINT :
Neutrinos: Insurance Provider
Location :
India
93%+
Thumbprint detection accuracy on scanned documents
3 min → <10 sec
Verification time per document
100%
AI-driven, eliminating subjective manual checks
Rural-Ready
Scalable onboarding across high-volume agent networks
Problem
Manual thumbprint verification on scanned policy documents was slow, inconsistent and open to both fraud and human error. The insurer needed a system that could find and match thumbprints across wildly varying scan quality, reliably enough for high-volume, rural and offline-first agent onboarding. A human reviewer cannot do that consistently at scale. An agent with a confidence threshold can.
What we built
Neutrinos, a computer-vision verification agent that runs the check end to end. A preprocessing stage (OpenCV) cleans noisy, skewed and low-quality scans; a detection model locates the thumbprint inside complex document layouts; a CNN on TensorFlow performs minutiae-based matching and returns a confidence score. Above threshold, the agent verifies autonomously. Below it, the case is routed to a human with the evidence attached. Results surface through a secure upload portal and a real-time dashboard, for single-policy checks and batch runs alike. Verification went from 3 minutes to under 10 seconds, and the subjective manual check was removed from the loop.
"Verification used to be our biggest bottleneck — three minutes per document, with room for human error at every step. Neutrinos gave us seconds, not minutes, and a level of accuracy we couldn't get manually, even in our most rural onboarding channels."
Neutrinos Team
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