Automated progressive meter reading from mobile‑captured images using OCR and on‑device models, with full admin and service tooling.
Automated progressive meter reading from mobile‑captured images using OCR and on‑device models, with full admin and service tooling.
Casino operations needed reliable, fast capture of slot machine progressive meter values without manual transcription errors.
Mobile app (Flutter) for image capture with boundary detection on device; backend & admin ( .NET, React ).
PPOCR model training & inference API; TensorFlow Lite / MobileNet optimization for edge execution.
OCR pipelines tuned for progressive meter numerics; on‑device pre‑processing and inference for latency and reliability.
Faster, more accurate meter reads with reduced manual effort.
Field‑ready performance even in limited‑connectivity conditions.
PPOCR, MobileNet, TensorFlow Lite; Flutter; .NET, React
Computer vision system for quality monitoring and predictive maintenance.
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Edge AI solution with real-time computer vision processing.
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