ABOUT THIS WEBINAR

Health & Safety

3 Ways Visual AI Transforms Near-Miss Reporting

 

Webinar Summary

Workplace safety has always been a top concern in every industry, affecting the well-being of employees and overall productivity and profitability. Near-miss reporting plays a critical role in workplace safety. This involves documentation and analysis of incidents that had the potential to cause harm but did not lead to an injury. Traditionally, this process has been manual, which leads to underreporting and delayed responses.

Integrating AI into this domain revolutionizes reporting and managing near-miss incidents. AI-driven systems enhance reporting accuracy, efficiency, and timeliness, turning these incidents into valuable learning opportunities and preventing future accidents. With AI, companies can transition from a reactive approach to a proactive and preventive safety strategy.

This transition to AI-enhanced reporting marks a significant improvement in workplace safety management, making work environments safer, more compliant with safety standards, and more productive.

IN THIS WEBINAR YOU WILL LEARN:

  • The critical role near-miss reporting plays in improving industrial workplace safety.
  • How to overcome the challenges of collecting accurate near-miss and/or unsafe conditions data.
  • How Visual AI technology can be applied to standard surveillance camera networks to automate and contextualize near-miss reporting.
  • See Visual AI in action with real-life examples.
  • The benefits of scaling Visual AI solutions to detect unsafe conditions and near-misses and transform safety programs across enterprise environments.

About the Speakers

Jodie Sasse

Jodie Sasse is an accomplished leader and advisor to companies looking to find innovative software solutions for the most complex business problems. Throughout her 20+ year career in the technology industry, she has developed a passion for helping companies unlock growth, optimize performance, and realize return on their technology investments. As SparkCognition’s, Managing Director of Visual AI Advisor, she drives outcomes for clients with challenges related to Safety, Security, Productivity, Quality and Situational Awareness. Prior to joining SparkCognition, Jodie has held various roles at Twilio, Equals3 AI, IBM and IBM Watson. She has a BS in Finance and Economics from Syracuse University and a MBA from Suffolk University.

Kunal Arora

Kunal Arora is an AI Solutions Architect with SparkCognition, where he leverages his extensive expertise in machine learning and software engineering to drive innovative solutions. With a rich background as a Computer Vision Scientist and Software Engineer, Kunal has dedicated the majority of his career to advancing technology in the energy industry. At SparkCognition, he employs his comprehensive expertise to develop innovative solutions that enhance operational efficiencies and sustainability, helping organizations navigate the complex landscape of digital transformation.

Subhash Sharma

Subhash is focused on transforming Health and Safety using Artificial Intelligence and Computer Vision / Video Analytics. His mission is to get businesses to adopt AI to make the workplace safer and more efficient. He is doing this by helping companies to leverage their existing CCTV infrastructure and using Visual AI Advisor platform to achieve exceptional business insights and outcomes. Subhash is focused on delivering business results. He is currently based in Reading, UK.

Watch on Demand

Join SparkCognition’s Jodie Sasse, Kunal Arora, and Subhash Sharma and learn how AI is transforming near-miss reporting.

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