Motorola Solutions, Inc.
Methods and Systems for Detecting Inmate Communication Anomalies in a Correctional Facility

Abstract:

An analysis engine of an anomaly detection system receives a communication associated with an inmate in a correctional facility, evaluates a keyword identified within the communication using an anomaly detection model, and determines whether the keyword is an anomaly indicating a potential activity associated with the inmate. In response to determining that the keyword is an anomaly, the analysis engine generates an alert for the anomaly, determines an authority to notify, and notifies the authority with the generated alert. The analysis engine may receive a feedback rating for the anomaly and may update the anomaly detection model using the feedback rating. In this way the accuracy of the anomaly detection system may be improved over time. The anomaly detection models may include general data, inmate-specific data, and parameters associated with the data. The parameters associated with the data may include a weight parameter or a threshold value.