Defining cycle protocol for optimization in textile decontamination or cleaning system using artificial intelligence

Abstract

The present invention is in the field of decontamination, for example of medical textile products. The invention lies in the system's ability to autonomously improve the decontamination and processing of contaminated textiles by capturing data related to the type of textile and contamination, assigning a specific protocol to most effectively and efficiently decontaminate and process the textile and then measuring the effectiveness and efficiency of the decontamination and through the utilization of deep learning algorithms continuously improve the process effectiveness and efficiency. Data may include decontamination process monitoring, textile contamination quantification, facility and environmental information. Over time the system uses process data, machine learning algorithms, and computer vision techniques to learn and adapt decontamination cycle protocols based on textile items data, processing outcomes, and environmental parameters to optimize processing quality and efficiency while handling a range of item types and decontamination processing requirements.

1 . A system for optimizing a process of decontaminating textile articles, wherein artificial intelligence is utilized to define a decontamination or cleaning cycle protocol for a subsequent decontamination or cleaning process for another textile article. 
     
     
         2 . The system of  claim 1 , wherein the decontamination is performed as part of a cleaning method of the textile article. 
     
     
         3 . The system of  claim 1 , wherein the artificial intelligence is utilized in real time to define the next decontamination or cleaning cycle protocol based on an immediately preceding decontamination or cleaning cycle protocol used and data acquired therefrom. 
     
     
         4 . The system of  claim 1 , wherein the artificial intelligence is utilized in real time to define the next decontamination or cleaning cycle protocol based on previous decontamination or cleaning cycle protocols used and data acquired therefrom, including an immediately preceding decontamination or cleaning cycle protocol used. 
     
     
         5 . A method for optimizing a process of decontaminating textile articles, wherein artificial intelligence is utilized to define a decontamination or cleaning cycle protocol for a subsequent decontamination or cleaning process for another textile article. 
     
     
         6 . The method of  claim 5 , wherein the decontamination is performed as part of a cleaning method of the textile article. 
     
     
         7 . The method of  claim 5 , wherein the artificial intelligence is utilized in real time to define the next decontamination or cleaning cycle protocol based on an immediately preceding decontamination or cleaning cycle protocol used and data acquired therefrom. 
     
     
         8 . The method of  claim 5 , wherein the artificial intelligence is utilized in real time to define the next decontamination or cleaning cycle protocol based on previous decontamination or cleaning cycle protocols used and data acquired therefrom, including an immediately preceding decontamination or cleaning cycle protocol used. 
     
     
         9 - 14 . (canceled)