The present invention uses a double-sided image capture device and double-sided image capture technology to process the captured image with an algorithm, and performs drug identification through a back-end deep learning processing system. Different from the traditional way that pharmacists use visual recognition and barcode reading to identify medicines when dispensing, it improves the existing human problems and the current situation that not all medicines have barcodes.
Features / strengths
The "double-sided real-time sampling and identification technology" proposed in this patent only captures two-sided images of drugs through two cameras, and uses artificial intelligence deep learning technology to perform real-time drug identification and verification; compared with the current There is an adjustment and review method. This system has low cost, fast response and high accuracy, and can be greatly improved and popularized.
This mechanism can be installed on the dispensing table and is easy to operate. The pharmacist only needs to place the dispensed medicine on the mechanism. The mechanism can quickly identify the medicine and immediately tell the pharmacist whether the medicine being dispensed is correct. It is very suitable for community pharmacies and clinics with only one pharmacist practicing (without a second pharmacist to review drugs). This institution can assist pharmacists in identifying drugs and ensure the safety of patients' medication. It can also be used in large hospitals, providing an extra layer of protection for patient medication safety.
It can also be applied to POS (Point of Sale) point-of-sale information system, which can identify objects without labeling barcodes or FRID tags.
Specification in detail
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