Visual Inspection For Pharma - Penicillin Bottles Vial Inspection Machine

Test Principle

Product safety has top priority in the production of pharmaceutical and medical products. Pharmaceutical and medical packaging with surface defects, a wrong label or code, contaminations or a leaking closure severely endangers the health of patients. This is why vision inspection has become inevitable since it guarantees the quality of 100% of produced parts.

Reducing recall risks and response time play major roles as well. Moreover, an increase in productivity and accuracy should not be disregarded. Thus, it is especially important in the pharma and medical industry to have a tight control over the whole production process. This becomes possible by a huge range of data collected by a vision system. KEYE vision systems convert these data automatically into meaningful statistics, diagrams, and reports.

Visual system features

1)Visual Analytics--Computer Vision is a scientific field that allows computers to gain a high-level of understanding from digital images, videos, and live streams. This is done with the ultimate result of enabling computers and machines to understand and react to real world visual data similarly to how a human would.

2)Quality Control--From a manufacturing perspective, computer vision uses automated visual inspection capabilities to examine every procedure in the production process, detecting the assembly of different items, locating defective parts, and identifying yield.

3)Security--In terms of security, Matroids’s computer vision software uses AI based visual inspection tools to monitor thousands of live streams for suspicious actions, unusual objects, or unwanted activities.

4)And More--Computers can be taught through computer vision software (and Matroid) to detect anything from wildfires to defects on printed circuit boards to hand washing procedures. PPE, agricultural inspections, structural integrity, and crowd safety are just a few more topics that computer vision can tackle.

System Overviews

Testing standards

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