Robert Boschgmbh

Irtsam Ghazi

Ajit Belsarkar

Luca Bondi

Jacob A Gallucci

Shruti Lall

Emily Ruppel

Systems and methods for anomaly detection in embedded systems. One example provides an anomaly detection system including a device configured to be connected to a server. The device includes an electronic processor and a memory. The memory stores a first application. The electronic processor is configured to transmit a request for an anomaly detection application. The anomaly detection application includes a set of instructions for detecting anomalies of the device. The electronic processor is configured to receive, from the server, the anomaly detection application, and replace the first application with the anomaly detection application within the memory.

Anomaly detection for embedded systems

Systems and methods for audio event detection. One example provides an event detection system comprising a plurality of audio devices. Each of the plurality of audio devices is configured to be communicatively coupled to a server and includes an electronic processor. The electronic processor is configured to detect, via a microphone, audio, and determine an audio event within the audio. The electronic processor is configured to receive an image from a camera, associate the image data with the audio event to generate event metadata, and transmit the event metadata, the audio, and the image to the server.

Audio event analysis, classification, and detection system

A system for automatically selecting a sound recognition model for an environment based on audio data and image data associated with the environment. The system includes a camera, a microphone, a memory including a plurality of sound recognition models, and an electronic processor. The electronic processor is configured to receive the audio data associated with the environment from the microphone, receive the image data associated with the environment from the camera, and determine one or more characteristics of the environment based on the audio data and the image data. The electronic processor is also configured to select the sound recognition model from the plurality of sound recognition models based on the one or more characteristics of the environment, receive additional audio data associated with the environment from the microphone, and analyze the additional audio data using the sound recognition model to perform a sound recognition task.

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Pittsburgh, PA, United States of America

Irtsam Ghazi