4results about How to "Accurate judgment basis" patented technology

This invention discloses a method, device, equipment, and medium for monitoring high physiological stress based on rPPG. First, a video sequence containing the user's face is acquired, and the region of interest (ROI) sequence is extracted and input into a deep learning network model. A spatiotemporal encoder extracts preliminary spatiotemporal physiological feature sequences from these sequences. Then, relying on an adaptive frequency-aware decoder, multi-scale parallel processing and dynamic feature fusion are performed on these preliminary spatiotemporal physiological feature sequences to output feature representations of abnormal high-frequency rhythmic events. Finally, a state determiner, combined with the abnormal high-frequency rhythmic event identification results, directly outputs a binary classification result indicating whether the user is in a state of high physiological stress. This invention effectively solves the problem of abnormal high-frequency rhythmic signal loss caused by existing fixed filters, achieving high-precision identification of abnormal high-frequency rhythmic events and accurately determining the user's state of high physiological stress.

This invention provides a method and system for taking over autonomous driving in vehicles. The method includes the following steps: identifying the driver's fatigue level based on real-time acquired facial images; outputting corresponding reminders based on the driver's fatigue level, and selecting between maintaining vehicle operation through autonomous driving or controlling the vehicle to pull over through autonomous driving. This invention can provide safety reminders while automatically activating different levels of autonomous driving functions, effectively reducing vehicle safety accidents caused by sudden health issues of the driver.

The present application relates to the technical field of liquid pressure measurement, in particular to accuracy optimization design in the process of liquid pressure measurement. The purpose of the present application is to provide a pressure self-drainage type pressure measuring tube nozzle device and a monitoring method thereof. A physically isolated liquid phase pressure transmission path and a self-drainage exhaust path are constructed inside the nozzle piece, and the gathering and conditional discharge of gas are automatically completed. It is ensured that the signals obtained by the pressure acquisition module purely reflect the liquid phase pressure. The authenticity and reliability of the pressure data are improved, and the present application is suitable for long-term, continuous and automatic engineering monitoring scenes.

This invention provides a scheduling method and related equipment based on large model output length prediction. The method includes: acquiring a large model input request set, wherein the large model input request set includes multiple large model input requests within a time period; determining the corresponding predicted output length based on each input request; determining the scheduling priority of each input request based on each predicted output length; and controlling the output order of each input request in the large model input request set based on the scheduling priority. The method in this application solves the problem of head-of-line blocking that often occurs in current Model-as-a-Service platforms, improving the utilization rate of platform computing resources and the overall efficiency of request processing.