Seagate Technology Incorporated

Hock Soon Lim

Saravanan Nagarajan

Naman Sharma

Yuen L K Ho

Asif H Khan

Yu Qiang

Artificial intelligence (AI) anomaly monitoring in a storage system. The AI anomaly monitoring may include writing commands into a log jointly with the execution of the commands on storage media of a drive. The log includes information regarding the operation of the drive including, at least, the commands. In turn, each drive in the storage system may include an AI processor core that may access the log and apply an AI analysis to the log to monitor for an anomaly regarding the operation of the drive. As each drive in the storage system may use the AI process core to detect anomalies locally to the drive, the computational and network resources needed to employ the AI monitoring may be reduced.

Artificial intelligence (AI) assisted anomaly detection of intrusion in storage systems

Technology disclosed herein provides an object tracking multi-camera system including a plurality of cameras to capture images of one or more objects and one or more pattern recognition modules, each of the pattern recognition modules configured to identify an object in a video frame using pattern recognition and assigning a tracking number to the identified object, collect a plurality of object frames related to the identified object and associating the plurality of object frames to the assigned tracking number, compare a newly obtained object frame with the plurality of object frames related to the identified object to determine if the newly obtained object frame is related to the identified object, and in response to the comparison determine that facial recognition does not need to be performed on the newly obtained object frame.

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Singapore, Singapore

Hock Soon Lim