Flight monitoring is crucial for ensuring safety and operational efficiency, but manual tracking of in-flight gauges and equipment can be prone to human error and delay. Matthew from Merlin Labs wanted a solution to automate these processes, reducing human intervention and increasing the accuracy of real-time monitoring. He sought a computer vision-based system capable of tracking and analyzing in-flight switches and equipment positions in real-time, ensuring the system could operate efficiently with minimal human oversight. The solution needed to improve the monitoring process while maintaining or enhancing the safety and precision required in aviation.