Built a lightweight, sub-0.5s/image pipeline to read 16-digit card numbers and cardholder names from card photos using OpenCV (template matching) and Tesseract (OCR). On a small, hand-labeled 23-image set, the baseline achieves 48% recall on PAN and 65% on name. With feasibility of low-latency data capture (fraud/risk, checkout autofill) established, next steps include dataset scaling and custom OCR training to reach production readiness.
Sep 7, 2025
Led development of an intelligent video monitoring system that automatically detects moving objects in security footage. Successfully evaluated 8 different detection algorithms across 53 test videos, achieving 96% accuracy in ideal conditions and 82% in challenging lighting scenarios. This solution enables automated security monitoring, parking occupancy tracking, and retail analytics without requiring constant human oversight.
Oct 24, 2023