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Food and medicine industry SOLUTIONS

Summary: The application of machine vision in the pharmaceutical industry mainly includes assisting doctors in disease diagnosis, improving the efficiency of drug quality testing, and improving the controllability of drug production processes.

Industry Overview: With the aging population and increasing types of diseases, the market demand for the pharmaceutical industry is increasing. However, traditional pharmaceutical production and quality inspection methods have some problems, such as low efficiency and high error rates. Therefore, introducing machine vision technology to optimize production processes and improve product quality has become a hot topic.

Solution Overview

Detection of quality issues such as missing or missing particles in blister packaging drugs. After the drug particles are packaged into the blister, the manufacturer must ensure that all the drug particles inside the blister are intact and undamaged. Using industrial cameras to capture images and based on relevant software and algorithms, detect quality issues such as missing or missing particles in blister packaging drugs. Helping to improve product quality, current technology can guarantee zero error rate.

Solution Difficulties

1

High detection accuracy;

2

Large model processing;

3

Fast detection beat

Solution Advantage

High reproducibility

Can be quickly copied to other production lines, and can be quickly changed.

Full coverage of defect types

Supports more than 40 common defects

High precision

The detection accuracy was 50μm, and the detection rate of foreign bodies was 99.7%.