Top 4 Ways Visual AI is Enabling a Safer Workplace

Learn about the staggering costs of workplace accidents and the need for a data-driven approach to EHS. Discover how AI, automation, and machine learning can enhance safety protocols, reduce accidents, and improve operational efficiency and compliance.

May 2, 2024

2:00 PM ET / 1:00 PM CT / 11:00 AM PT / 7:00 PM GMT

Duration: 1 hour

Sponsor: SparkCognition

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Over three million workplace injuries and illnesses and five thousand fatal occupational injuries occur per year. According to the National Safety Council (NSC), the direct cost of an average workplace injury in the U.S. amounts to $44,000, with indirect costs averaging 2-10X that figure. According to OSHA, employers pay nearly $1 billion per week in workers' compensation, including indirect costs, such as lost productivity, training replacement employees, and potential damage to a company’s reputation. Fatalities from accidents cost $1.3 million per incident on average. The staggering costs of workplace accidents—totaling hundreds of billions of dollars annually—underscore the need for a tangible and data-driven approach to HSE.

Adopting technology to prevent workplace accidents has become increasingly common in the modern industrial landscape. Advanced technologies such as AI, automation, and machine learning offer significant benefits in identifying potential hazards, predicting risk areas, and enhancing overall safety protocols. These tools enable real-time monitoring and rapid response to change conditions, significantly reducing the likelihood of accidents. Moreover, wearable safety devices and sensors can monitor worker health and environmental conditions, providing critical data to prevent overexertion and exposure to harmful substances. By integrating technological solutions, industries can ensure a safer workplace and improve operational efficiency and compliance with safety regulations.

AI, and specifically computer vision, can augment existing safety practices and protocols across four critical areas:

  • active monitoring
  • real-time alerts
  • predicting workplace accidents
  • incident prevention

In this webinar, you will learn how visual AI disrupts existing safety patterns by detecting, recording, and alerting workers before a safety event occurs and the direct and indirect costs it can eliminate.  


Eric Schulte

Enterprise Account Executive | SparkCognition

Erik Schulte is an innovative AI strategist dedicated to revolutionizing industries through technology. With over six years of experience in consulting, strategy, and sales within Fortune 100 manufacturing, Erik has held key positions at Rockwell Automation and NECI, where he made a global impact.

Armed with a BSME from Colorado State, Erik continues to lead the charge in leveraging AI to shape the industry's future.

Jon Haslanger

Solutions Architect | SparkCognition

Jon Haslanger is a technologist, innovator, and leader passionate about using AI to solve critical business problems. With 15+ years of safely leading teams in high-risk industries, he is well acquainted with the challenges and importance of managing workplace safety. Jon's experience with applied data science and machine learning allows him to leverage expertise and quickly unlock benefits for companies from their AI investments. 

At SparkCognition, as the Vice President of Visual AI Solutions, he serves as an advisor to manufacturing, industrial, and energy companies, helping solve critical challenges by deploying artificial intelligence solutions and delivering improvements in safety, quality, and efficiency.
Prior to joining SparkCognition, Jon worked at Schlumberger in several key positions across America, Europe, and Asia. Jon holds a BSME from Johns Hopkins and an MSBA from NYU.


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