Amazon Technologies, Inc.

Sajesh Kumar Saran

Tyler Ogren Vrooman

Brad Nathaniel Arnold

Kenneth Lawrence Staton

Matthew Liang Chaboud

Pushkaraksha Gejji

Wei Ting Chen

James Merton Tidman

Christopher Samuel Zakian

Cameron Dean Whitehouse

Chang Hwa Rob Yang

Krzysztof Marcin Walczak

Jack G Song

Xunwei Yu

Nayana Teja Chiluvuri

Todd Nelson Schoepflin

Nicholas Michael Vallidis

Jared Justin Huntington

Scot Burzawa

Described is an apparatus to concurrently measure multiple input voltages at a high sampling data rate, such as at least two mega-samples per second. The apparatus may include a plurality of voltage data acquisition components that concurrently sample different input voltages and produce respective voltage data samples. Each of the plurality of voltage data acquisition components may be directly coupled to a field programmable gate array that receives the voltage data samples, packetizes those voltage data samples, and provide the packetized voltage data samples to a system on chip.

Synchronous voltage signature data collection apparatus

This disclosure describes techniques for synchronizing independent data streams. In some instances, a computing device couples to multiple independent sensors, such as cameras, and applies accurate timestamp information to the individual frames of sensor data from the independent sensors. After aligning these data streams by applying these accurate timestamps, the computing device may, in some instances, encode and transmit these timestamped data streams to one or more entities for further processing. In one example, a first camera (e.g., a depth camera configured to generate a depth map) may capture images of an environment, as may a second camera (e.g., an Red-Green-Blue (RGB) camera configured to generate color images). The resulting images may be temporally aligned with one another via the timestamping, and the resulting aligned images from both the depth sensor and the RGB camera may be used to create a three-dimensional (3D) model of the environment.

Synchronizing data streams

This disclosure describes techniques for automatically identifying endpoint devices based on differing power loads drawn by the endpoint devices. In some instances, the endpoint devices are distributed about one or more facilities, such as item handling facilities, and may comprise an array of sensors for tracking inventory items within, into, and out of these facilities. These sensors may include cameras, weight sensors, RFID readers, microphones, and the like. Further, multiple ones of these sensors may couple to a power injector (e.g., a power-over-Ethernet (POE) injector) that provides both data and power to each sensor over a cable. The power injector may in turn couple to a network switch and/or a controller, which may identify the endpoint devices based on their modulated power loads.

Automatic discovery of endpoint devices

This disclosure describes techniques for synchronizing data streams. In some instances, a computing device couples to multiple sensors, such as cameras, and applies accurate timestamp information to the individual frames of sensor data from the independent sensors. After aligning these data streams by applying these accurate timestamps, the computing device may, in some instances, encode and transmit these timestamped data streams to one or more entities for further processing. In one example, a first camera (e.g., a depth camera configured to generate a depth map) may capture images of an environment, as may a second camera (e.g., an Red-Green-Blue (RGB) camera configured to generate color images). The resulting images may be temporally aligned with one another via the timestamping, and the resulting aligned images from both the depth sensor and the RGB camera may be used to create a three-dimensional (3D) model of the environment.

Growing community of inventors

Bothell, WA, United States of America

Sajesh Kumar Saran