D1: Research Roundup Emerging Digital Technologies

Julie Panko Moderator
ToxStrategies
Pittsburgh, PA 
 
Keith Bowers Author
Bowers Management Analytics
Phoenix, AZ 
United States of America
 
Tom Hawkinson, MS, CIH, CSP Author
Stantec Consulting Services Inc
Chandler, AZ 
United States of America
 
Mon, 5/20: 3:15 PM - 4:15 PM EDT
00346 
Research Roundup 
Greater Columbus Convention Center 
Room: A 223 
CM Credit Hours:

Content Level

Intermediate

Organizational Category

Corporation/Company

Primary Industry

Aerospace
Construction
Engineering
Healthcare/Pharma
Manufacturing

Topics

Available as part of AIHA CONNECT OnDemand
Big Data
Computer/Mobile Apps and Tools
Indoor Air Quality
Sensor Technology

Presentations

D1a. Fatality Prevention: AI, Computer Vision, and 3D Sensing

We use an AI system to discover hidden unsafe behaviors. This 3D sensor and camera system uses self-driving car technology to closely track people, industrial vehicles and everything else in the area. One surprising result of this work has been to demonstrate that unsafe behaviors often pass unnoticed by the participants, as we will demonstrate with several memorable videos. 

Co-Authors

Geoff Walter, Corporate Safety Director, Owens Corning 

Acknowledgements & References

Thanks to Owens Corning for supporting the effort.  

Author

Keith Bowers, Bowers Management Analytics Phoenix, AZ 
United States of America

D1b. Big Data in IH: Real-Time Monitoring for IAQ

As industrial hygiene testing moves from sampling a small number of time weighted average samples to real time measurements; the field is moving toward big data. With the application of artificial intelligence, big data seeks to integrate structured and unstructured data into meaningful analyses. Through the application of big data in a study of indoor air in a pharmaceutical workplace, this session will discuss: a) the principles of big data; b) the challenges of large data sets and their analysis; and c) the benefits of real time cloud-based databases. Also, we will review: 1) the various ways to present data, using statistical and graphical methods; and 2) public databases, such as NHANES and UN databases, which can aid in evaluating exposure data and its relation to human health. 

Co-Authors

K. Bosch, Stantec Consulting, Plymouth, MN, USA 

Acknowledgements & References

None 

Author

Tom Hawkinson, MS, CIH, CSP, Stantec Consulting Services Inc Chandler, AZ 
United States of America