United States Patent Application Publication (2024)
Grant 12093160B1 assigned to Amazon Technologies Inc.
System and methods for IoT event detector correctness verification. Detector models (e.g., state-based models including variables, states, transitions and actions) take IoT device data as input and detect, based on the data, events that triggers actions. To verify a correctness of the models prior to deploying the models at scale, an event detector model correctness checker obtains a representation of a definition of the model, verifies, based on analysis of the model definition, whether the model complies with correctness properties, and generates a report indicating whether the model complies. Example correctness properties include a reachability correctness property that indicates that respective states or actions are reachable according to the definition of the event detector model. The analysis may be accessed via an interface element and may result in generation of a report that identifies a location of non-compliance within the model definition.
@misc{patent/US12093160B1,
title = {Syntactic Profiling of Alphanumeric Strings},
number = {US12093160B1},
author = {Vaibhav B. Sharma and
Andrew J. Gacek and
Michael W. Whalen and
Saswat Padhi and
Andrew Apicelli and
Raveesh Yadav and
Samuel Bayless and
Roman Pruzhanskiy and
Rajat Gupta and
Harshil R. Shah and
Fernando D. Pauer and
Ankush Das and
Dhivashini Jaganathan},
year = {2024},
month = {September},
url = {https://patents.google.com/patent/US12093160B1}
}