Abstract
Artificial Intelligence is defined as the division of computer science which tackles the simulation of human intelligence processes by machines and refers to the usage of automatic algorithms, machine vision, and technologies in various sectors of the pharmaceutical field. As this intelligent system has a handful of applications it is utilized by pharma industries for various pharmaceutical product developments mainly in sterile preparations, such as parenterals, vaccines, seras, and other blood products. In our country, parenterals are the second most widely used means for drug delivery after oral dosage forms. Therefore, the quality of the parenterals is crucial. In the present scenario, inspection of parenterals products during the manufacturing is quite important. Aiming at that difficulty hence it is considered for combining the manual process with automated technologies like artificial neural networks, deep learning, and clustering algorithms. In this way, liquid preparations can be more accurately identified and the accuracy of detection can be greatly improved.
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