Abstract: Computer-implemented methods, systems and computer program products leveraging cognitive learning, and machine learning algorithms to predictively identify and monitor animals within a monitoring zone in real-time and identify an occurrence of unwanted or unsafe behaviors being performed by the animals. Surveillance systems and sensors within a monitoring zone or affixed to the animals provide audio/visual data and sensor data describing activity and animals within the monitoring zone. Machine learning models are trained using audio-visual, sensor and historical data to learn to predict the identities of registered animals based on the sight or sound of the animals.

Abstract: A system (and method and computer product) to provide a service using an autonomous agent and wayfinding instructions includes a processor and a memory device accessible to the processor. The memory device stores a set of machine-readable instructions to permit the processor to execute a method for providing a service using agents capable of autonomously navigating unattended within a service area, as guided along a predetermined path based on receiving wayfinding instructions. The processor includes a communication port to permit a communication during assignments with one or more communication devices on a wayfinding device carried by or attached to an agent selected for implementing an assignment.