Motorola Solutions, Inc.

Joseph Rafferty

Peter L Venetianer

Pietro Russo

William Fincannon

Chan Yi Siew

Examples provide an imaging system including an image sensor; and an electronic processor in communication with the image sensor. The electronic processor is configured to determine a set of imaging parameters, and, for each iteration included in an iteration set, update the set of imaging parameters by: receiving an image captured by the image sensor using the set of imaging parameters, performing object recognition on the image to detect an object of interest, determining an object recognition confidence score, determining a set of external factors based on the image and/or information from a second sensor, linking the set of imaging parameters and the set of external factors to the object recognition confidence score, and training a predictive model for updating the set of imaging parameters using the object recognition confidence score, the set of imaging parameters, and the set of external factors.

Imaging system with object recognition feedback

Examples provide a variable zoom imaging system including an image sensor, a set of illumination channels, and a current driver circuitry for driving the set of illumination channels. Each respective illumination channel includes a set of light sources and a lens, and is associated with a respective focus distance. An electronic processor is configured to focus the image sensor to an object of interest, determine a distance from the image sensor to the object of interest, determine an exposure period for the image sensor, select a subset of illumination channels to activate based at least on the distance from the image sensor to the object of interest, and capture a first image of the object of interest using the image sensor by sequentially activating and deactivating each selected illumination channel of the subset for first respective time frames within the exposure period.

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Corona, CA, United States of America

Joseph Rafferty