Our Solution

Our solution, ASTROMED, powered by our MedicineAI framework for the Modified Medical Inventory System, presents unprecedented efficiency, security, and optimization to guarantee the safe facilitation of medication on the ISS.

Through our Optical Recognition module (displayed above), we allow for medicine to be tracked by determining who delivered/picked up medicine boxes, what they picked up, and where they picked it up. This allows for medicine to be tracked precisely while on the ISS.

Astronauts will also be able to scan medication when picking up/delivering them via arUco markers (specialized identifiers that look like QR-codes) on the medication boxes, which allows for the system to track it via the aforementioned Optical Recognition Model.

Compounding this with machine learning algorithms, we use this data to make predictions for expiration & run-out dates of the medicine & develop recommendations for when ground-control should resupply these medicines.

Our voice recognition module adds an additional layer of optimization to our solution. Through this, astronauts are individually recognized by medicineAI’s speech-to-text, and given personalized information about medication, restock dates, and medication locations based on that specific astronaut’s needs. The speech-to-text model is also there for general guidance.

Furthermore, our AI also establishes strengthened security. Displayed below is a redesign of medication boxes to be stored on the ISS. Boxes will be locked into place to ensure the security of medication, and only be unlocked if the requisite astronaut is attempting to access it.

All of these systems can be easily accessed through our two web portals. One of them is specifically designed fast, local communication with onboard hardware (via web sockets) and the other is designed for long-distance communication using slower (but more reliable) REST APIs. This ensures that both the ground crew and the astronauts on board have access to the proper systems and are using the most efficient communication methods for their use cases.