An automatic syringe filling system that uses robotic arms controlled by deep learning algorithms to help pharmacy technicians with their tasks

In certain scenarios, in the hospitals, oral medications need to be administrated in a liquid form using syringes in order to avoid complications such as asphyxiation due to the blocking of airways, which is common in children. Consequently, a pharmacy technician may need to fill up hundreds of syringes per day for different units at the hospital such as pediatrics, geriatrics, and psychiatry.
These sets of repetitive tasks expose pharmacy technicians to high risks of work-related musculoskeletal disorders. For instance, tendinitis may occur during syringe filling due to poor wrist posture. In addition, the shortage of personnel is hitting our hospital pharmacy departments hard and is forcing the hospitals to make painful choices in the services they can offer. To address this problem, we will be using robots capable of integrating Deep Learning (DLs) algorithms. This robot can help pharmacy technicians with their tasks. As a result, pharmacy technicians can be assigned to other duties where their presence is needed.

Faculty Supervisor:

Usef Faghihi

Student:

Partner:

Kobotik Inc.

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

Université du Québec à Trois-Rivières

Program: