Ravi Kota, CEO of AI Tensors, presents the “Using Computer Vision for Early Detection of Cognitive Decline via Sleep-wake Data” tutorial at the May 2025 Embedded Vision Summit.
AITCare-Vision predicts cognitive decline by analyzing sleep-wake disorders data in older adults. Using computer vision and motion sensors coupled with AI algorithms, AITCare-Vision continuously monitors sleep patterns, including disturbances such as frequent nighttime awakenings or irregular sleep cycles. AITCare-Vision utilizes this data to identify patterns that may signal cognitive decline, such as changes in sleep consistency or increased time spent awake at night. These insights are compared with baseline data to detect subtle shifts in cognitive health over time.
In this presentation, Kota discusses the development of AITCare-Vision. He focuses on some of the key challenges his company addressed in the development process, including devising techniques to obtain accurate sleep-wake data without the use of wearables, designing the system to preserve privacy and implementing techniques to enable running AI models at the edge with low power consumption.
See here for a PDF of the slides.
