Updated: Feb 21
Revamping Pharmacies with Computer Vison
Artificial Intelligence is a revolutionary discovery that is capable of being applied in many fields today with a varying number of benefits which come with applying AI technology to existing technology as well as making new innovations. Simply put, computer vision is a powerful field in Artificial intelligence which is capable of upgrading and enhancing everything it is applied to. More specifically, Computer Vision is making huge strides in helping the development of stronger solutions which can in turn help develop and bring improvements to the pharmaceutical industry. The application of AI Vision in pharmaceutical manufacturing has already begun with several noteworthy use cases, such as the inclusion of machine vision technology to replace the standard manual inspection of packaging, labels, caps, and glass vials.
Machine-learning based equipment maintenance and monitoring are used to reduce any production downtime, potential safety risks and save resources. All computer vision applications in the pharmaceutical industry aim to generally improve and optimize all processes involved in manufacturing processes while also reducing or downright even removing any human intervention in the production process. This application has the potential to dramatically increase the quality and efficiency of the industrial production of machines.
How Prisma AI’s Visual Artificial Intelligence Solutions Can Help Pharmacies
Prisma AI, in a bid to adopt the potential that Visual AI brings, has come up with a variety of visual artificial intelligence - based solutions that are tailored to aid pharmaceuticals with their functioning and production, each of which can greatly enhance and automate the functions in and around pharmacies. Below are some of these solutions that can help pharmaceuticals:
A system that checks all machinery involved in manufacturing for any defects and if it needs any cleaning, which allows for predictive maintenance of equipment before any loss in production would occur.
Automated Visual Inspection
Visual AI-based solution to monitor equipment as it is being cleaned or maintained, to ensure no spots are left, and no tampering takes place with the equipment during cleaning.
Track Employee Movements
In and around the premises to ensure that they are at their workstations and not loitering or leaving the premises with pharma property such as tools or medicines.
For easy sorting of packaged goods in the warehouses based on their RFID tags, helping in management of pallets carrying products.
Automated Visual Inspection of Packaging
To ensure labels and seals are properly placed and the packaging box or material is not damaged, before shipping.
Serialization track and trace
Optical character recognition-based system which checks whether all package specific serial numbers are readable and trackable, for ease of inventory management and sales records.
Stopper position inspection
Computer vision-based solution which checks if the bottle stopper has been placed properly on vials of product, to ensure that final products are well made.
Alongside many more similar solutions which make all the processes involved in and around the pharmaceutical industry more effective and convenient.
Takeaways for the future of pharmaceuticals
All pharmaceutical factories depend on manual or semi-automatic quality inspection which is dependent on manual labor, training, and experience. However, this comes with its own problems, namely the fact that manual labor is perishable and subject to human issues.
This suite of solutions from Prisma AI can greatly affect the future of healthcare and pharmaceuticals, as they can eliminate any room for errors during the packaging and finalization of pharmaceuticals and automate many processes, allowing manpower to be utilized in other places where it would be better utilized. Artificial intelligence applied in any domain or sector will be a great boon to that sector, with its automation capabilities.
Given the impact of artificial intelligence on manufacturing processes, it is only a matter of time before custom computer vision systems will become widely adopted.