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Containerised applications can improve modularity when interfacing hardware from different vendors across a variety of machines. For example, different brands of scientific cameras provide a different set of tools and software for configuring the camera settings and reading frames from the camera. Wrapping the camera interfacing software in a Docker container, exposing only the necessary inputs and outputs to the container user, allows an instrument control software developer to build their global applications in a hardware agnostic way. This project aims to containerise (using Docker) a number of scientific cameras and active optical components used in optical systems across AITC.

The learning outcomes for a student undertaking this project are:

1. Proficiency in Docker containerization technology.

2. Understanding of hardware-agnostic software development.

3. Knowledge of scientific camera configuration and control.

4. Collaboration and problem-solving skills in integrating diverse hardware.

5. Familiarity with optical system integration using containerized components.

The applicant should be proficient in Python and C/C++, and experience using Docker is valued.