Improving Safety With Camera Analytics

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Executive Summary

This report provides an introduction and assessment of how existing and novel technologies surrounding camera analytics and computer vison can be utilized to advance operational safety. It gives an overview of the capabilities and advancements in AI and the current infrastructure around closed-circuit television (CCTV), alongside an outline of the potential barriers to implementation, such as the time lag between technological advances and political processes. The report also examines specific examples of EHS use cases across several general functions and provides some industry-specific examples. Directors and managers should use this report to inform their firms’ short- and-long term planning, as they look to increase overall safety.

Table of contents

Advancing EHS Safety Initiatives Through Novel Solutions 
What Are Camera Analytics And Computer Vision?
How Can Camera Analytics Improve Workplace Safety?
The Application of Computer Vision For Innovative EHS Use Cases
Planning For Implementation Hurdles 

Table of figures

Figure 1. Overlapping Holistic Safety Culture Generation 
Figure 2. Industry-Specific Use Case Examples 

About the authors

Nathan Goldstein

Senior Analyst
Nathan is a Senior Analyst in the Verdantix EHS practice out of the New York office. His current research agenda focuses on the intersection of sustainability and ESG trends within the EHS operational sphere. Prior to joining Verdantix, Nathan worked at Bluefield Research, where he covered the global water industry, with a focus on the energy, industrial and digital segments. Nathan holds a MSc in Water: Science and Governance from King’s College London.

Bill Pennington

VP Research, EHS & Risk Management
Bill is the VP Research for the Verdantix EHS & Risk Management practices. His current agenda focuses on understanding the evolution of EHS and enterprise risk management, evaluating emerging strategic risks and benchmarking technology buyers’ budgets, priorities and preferences globally.

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