An operator behavior monitoring system, which includes: an operator behavior recognition system comprising hardware including a processor, a data storage facility and input/output interfaces, the system being configured to implement a set of convolutional neural networks including: an object detection group for detecting an object in the image and to delineate the object from the image; a feature extraction group which extracts features of the object detected by the object detection group; a classifier group which assess the features and classifying the features into a events and which is operable to report the events to a remote server; a server operable to communicate with the operator behavior recognition system for receiving predefined events detected by the operator behavior recognition system; a database in communication with the server, operable to store and retrieve detected operator incidents; and a web frontend, in communication with the server for interfacing with the server
Operator Behavior Monitoring System
16.09.2021
Patent
Elektronische Ressource
Englisch
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