The device is a combination of hardware and software components. The hardware portion includes a machined housing component, a pressure sensor, and a mini computer.The software part runs a machine learning algorithm that analyzes data from the pressure sensor.
Because procedures as simple as teeth cleaning call for surgery, we developed a device to minimize the worry that all pet parents may have when their pet goes under.
Our proved its novelty by being the first automated preemptive checklist of its kind in t he veterinary anesthesia market. It is designed to be simple to use, yet durable and accurate for the best user experience.
Although the anesthesia machine works, it is prone to leakage. In order to check for leaks, one must spray soap and water on the machine and see where it bubbles. The red circles represent where the machine typically leaks. Our device will check certain parts of the machine and identify where the error is.
In order to detect these leaks, a junction between the sources of leakage will be inserted. An algorithm is ran in linear regression, if the values are detected to be decreasing within a certain threshold, a leak is detected.