Medicine Safety Gatekeeper: Building a Real-Time Drug Interaction & Expiration Checker with YOLOv10
We’ve all been there: digging through a cluttered medicine cabinet, wondering if that half-empty blister pack of Ibuprofen is still safe to take, or if it will play nice with the cold medicine you just bought. In the age of AI, "guessing" shouldn't be your first line of defense. In this tutorial, we are building an AI-powered Medicine Safety Gatekeeper . Using YOLOv10 object detection , Tesseract…
This tutorial walks you through creating an AI-powered Medicine Safety Gatekeeper using YOLOv10, Tesseract OCR, and a local drug database. The system identifies medicine containers in images, extracts information like expiration dates and ingredients, then checks for expired products or dangerous drug interactions. By eliminating the need for Non-Maximum Suppression in YOLOv10, the system can provide fast results directly from a mobile device.
The process starts with capturing an image or video frame, then applying YOLOv10 to locate the medicine bottle. OpenCV processes the image to improve OCR accuracy before using Tesseract to read the text. The extracted data is subsequently checked against a SQLite database containing information about drug interactions and expiration dates.
If any issues are detected, the system alerts the user with a warning. The tutorial also highlights areas for further development, such as training YOLOv10 on pharmaceutical logos, implementing voice feedback for visually impaired users, and syncing data across multiple devices.
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