Amazon Technologies, Inc.

Manik Gupta

Mashhour Solh

Chang Hwa Rob Yang

Ketan A Rasal

Daniel Kent Hanning

A computer-implemented method includes receiving an image frame of image data associated with a camera. The method also includes receiving a human presence heatmap for the image frame, receiving a motion heatmap for the image frame, and receiving an image metric heatmap for the image frame. The method further includes receiving a combined heatmap as a combination of the human presence heatmap, the motion heatmap, and the image metric heatmap and setting auto-exposure parameters for the camera based on the combined heatmap.

Daytime heatmap for night vision detection

Approaches discussed herein enable a computing device to be tested to determine whether light from an emitter is bleeding through the device, which can be indicative of an assembly failure. A light blocking member can be placed over a camera in order to prevent a camera from capturing light coming from outside the device. At least one light source of the device then can be caused to emit light, and the camera can capture at least one image to determine whether any of the light is bleeding through the device and being detected by the camera. If so, the device can be determined to fail the test, and can be sent for reassembly or another remedial action. In some cases, a type of failure might be able to be determined, and information for the failure can be logged for purposes such as quality assurance and failure rate monitoring.

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Fremont, CA, United States of America

Manik Gupta