Accenture Global Solutions Limited

Sarah Crabb

Narendra Anand

Zhijie Wang

Robert A Kovach

Sai Gattu

Alfredo Arvide

Hao Zhou

Manas R Satapathy

Arnob Bhuyan

Prashant Kumar Mehrotra

Anant Sharma

Brian J Green

Peter Daniel Corkum

Arijit Bhuyan

Jordan Thomas

Raquel Andrea Werner

Brian H Richards

Aparna Pranavi Kakarlapudi

Ramoj Kumar Paruchuri

Gabriel Ernesto Gutierrez Anez

Prashant K Mehrotra

Peter D Corkum

In some implementations, a target object identification system may train a machine learning model to identify a target object in a volume of solid waste. The target object identification system may receive, from at least one imaging device positioned in a waste processing facility, imaging data associated with a portion of a volume of solid waste. The target object identification system may identify, using the trained machine learning model and based at least in part on the imaging data, the target object, wherein the target object is disposed within the volume of solid waste. The target object identification system may provide, to a separator control assembly that controls a separator, an output associated with the target object, wherein the output is to facilitate removal of the target object from the volume of solid waste.

Target object identification for waste processing

In some implementations, a system may receive, from a differential pressure sensor, a differential pressure measurement associated with a differential pressure across an air filter within an airway of a manual ventilator. The system may determine, based on the differential pressure measurement, an air flow rate through the airway. The system may determine timing of a compression cycle of the manual ventilator. The system may determine, based on the timing, a flow threshold associated with a desired breathing cycle. The system may determine a difference between the flow threshold and the air flow rate. The system may provide, via a display associated with the manual ventilator, a representation associated with the difference to indicate whether a compression parameter of the compression cycle is to be adjusted.

System, device, and arrangement for a manual ventilation assistant

A device may receive video of a facility from an image capture system. The video may show an individual within the facility, an object within the facility, or an activity being performed within the facility. The device may process the video using a technique to identify the individual within the facility, the object within the facility, or the activity being performed within the facility. The device may track the individual, the object, or the activity through the facility to facilitate an analysis of the individual, the object, or the activity. The device may perform the analysis of the individual, the object, or the activity using information related to tracking the individual, the object, or the activity. The device may perform an action related to the individual, the object, or the activity based on a result of the analysis. The action may positively impact operations of the facility.

Tracking and/or analyzing facility-related activities

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Houston, TX, United States of America

Sarah Crabb