Scientists at Eli Lilly (EL) are looking for better resources to optimize their data collecting methods. After implementing the RealWear HMT-1 devices they discovered roadblocks such as background noise, unsuccessful cloud transferal, and transcription errors. Lilly scientists want to seamlessly capture their in-lab data using this wearable in real-time.
Our goal for this project involves enhancing the effectiveness of the HMT-1 wearable used by EL engineers and scientists in laboratories.
The HMT-1 device has been integrated throughout EL’s laboratories and provides a hands-free experience. This allows them to perform lab experiments without having to worry about cross-contaminating their processes with multiple devices while using safety equipment. EL employees currently use this device to capture images, record videos, document setups, live experiments, and meetings. We will be focusing on the ease of use and transcription of the software on the device by researching and testing potential applications.
Our team's project is to assist Eli Lilly’s engineers and scientists to use the HMT-01 device for live transcription use to improve productivity. We have conducted various tests between three software to find the best software to implement.