Abstract: A road user identification system for identifying a road user is provided. The system includes a digital camera generating a digital image of a road with the road user on the road. The system further includes a computer operably coupled to the digital camera that receives the digital image. The computer has a digital image based classification model with a neural network machine learning algorithm that analyzes the digital image and determines a first probability value. The first probability value indicates a probability that the road user has a first wearable marker that is associated with a specific type of road user. The computer stores a road user identifier corresponding to the specific type of road user in a memory device when the first probability value is greater than a threshold probability value.

Abstract: Monitoring the physiological state of an equine by measuring data with which a user can make educated decisions for the well-being of his equine. The physiological monitoring system may consist of wearable sensor units that are removably attached to the equine and a display hub unit which collects data and displays the results to the user. The wearable sensor unit measures data from the equine and sends that data to the display hub unit. The display hub unit then uses that data to evaluate the physiological status of the equine. The evaluation can be based on ambient temperature, heart rate, accelerometer, and skin temperature data. These data may be manipulated by different methods in order to determine a physiological state. These methods include comparisons between bilaterally symmetric measurements, comparisons to a threshold value, changes with respect to time, and comparisons to a baseline state.