Q1 Newsletter: Research with the University of Pittsburgh: Machine Learning Models and Software to Make Real-time Hazard Indications

More than 80% of workplace accidents go unnoticed and reported!. 

Welcome, and thank you for your interest in learning more about IntelliSafe Analytics (IntelliSafe). This is our first newsletter, and we will keep you updated as significant milestones are accomplished!

IntelliSafe launched in late 2022. Since then, we have been diligently working with experts in the safety industry and the great engineers, developers and AI experts at PiMios and OnPoint Insights to develop a wearable with one mission in mind — to increase safety in the workplace. More than 80% of workplace accidents go unnoticed and reported!

We know we can help change this stagnant statistic! And our data collection proves it.

Through early research with the University of Pittsburgh and the help of Beta customers, in 2024, we gave ourselves the green light as we were able to gather enough physiological and behavioral data to accurately identify hazards, warn the worker, and provide risk-related information to safety personnel that could influence change.

Here are a few highlights!

  1. National Science Foundation Awards IntelliSafe Analytics SBIR Phase I Grant to Develop Human-Centered Safety System to Protect Workers. IntelliSafe made this major announcement in November 2023. Read on.
  2. We couldn’t do it without our Beta Customers and Early Partners. Visit our Home Page to learn more about our community! They include The University of Pittsburgh, PiMios, OnPoint, NCS Solutions, ProTect-All Solutions, AssureAmerica, and BuildersFirst Source.

Now, in Q1 2024, we are ready for more research!

Phase I Research Funded by the NSF for the University of Pittsburgh: The key research objectives in Phase 1 were validated!
• A wrist-worn device can effectively provide meaningful physiological and behavioral data in a way that can be used for advanced analytics.
• Human physiologies and behaviors react similarly to common hazards, and Machine Learning models can be developed to identify a slip, trip, or fall.
• Software and data architecture can be designed to process the needed data promptly throughout the data workflow.

The R&D plan with proposed timelines will be conducted in 2 parts in parallel:

R&D Plan #1 – The University of Pittsburgh’s Bioengineering Department – Physiological Monitoring during Slips and Trips.  In addition, IntelliSafe is conducting research to use this same methodology for Lifting Stress, Overexertion, and Heat Stress.  Early data has proven the viability of identifying these hazards.

R&D Plan #2 – Retrieving and Storing Physiological Data from Wearables to the Cloud and developing Machine Learning Models and software to make real-time hazard indications trigger alerts to workers and safety professionals.

Thank you for reading.

Please us directly to learn more about investment opportunities or if your organization wants to be part of subsequent pilots at your workplace to help us collect more data in real-world environments.

About IntelliSafe Analytics

Founded in January 2022 by Daniel Timco, IntelliSafe Analytics is a manufacturing company committed to developing products to protect workers using patent-pending technologies and advancements in wearable tech and AI.

For more information, visit www.intellisafeanalytics.com