In order to adhere to strict requirements from the FDA, our client, a leading pharmaceutical manufacturer with more than 140 years of business, must gauge how quickly their medicines dissolve in the body and in what way.
To analyze the data, the client took low-quality video footage of the dissolution process. Afterward, workers would manually sift through video data, outlining how the medicine dissolves in order to report their findings. This process required a large amount of manual labor and had a high chance of human error. The client needed a way to automate, drive consistency, optimize labor costs and improve the accuracy of dissolution tests.
In just 5 months Luxoft allowed the client to drastically reduce the majority of time-consuming, expensive, and potentially erroneous human analysis. Luxoft created an AI solution that optimizes our client’s cameras (in terms of video resolution, frames per second and bit rate) and detects certain events in the video via computer vision. This allows the solution to accurately detect abnormal situations.
Through artificial intelligence, deep learning and computer vision, our client is then alerted via a user-friendly dashboard. Our client also receives video analytics for their medicine tests through the dashboard.
This solution saves time by avoiding numerous hours of manual labor, allowing workers to accomplish other tasks while cutting labor costs.
It also significantly speeds up the dissolution testing process and medicine time-to-market, allowing our client to keep pace with others in the competitive healthcare industry. This solution also eliminates the possibility of human mistakes by producing objective data.