Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos.
This approach allows us to perform various customized pose estimation processing and conditional processing across AI model structures.
Computer vision, applied to AvodahMed, uses sensor fusion for vital checking. The sensors are built into our solution for patients or doctors to assess or track oxygen levels, irregularities in heart conditions, temperature, etc. We use camera sensors such as: visual, depth, 3D, RF Radar phased array to assess the patient’s health condition and provide better care from their home. Using sensors provides patients, doctors and healthcare providers better data and insights through the use of ML and DL.