Published: 02 January 2024
The intersection of AI and video capture creates opportunities to identify hazards in real time, prevent accidents and predict trends. CIOs must create a strategy to leverage computer vision to improve worker safety and well-being, while mitigating the associated risks.
Advances in computer vision will have a direct, positive impact in key areas of worker safety.
Hazard identification, compliance monitoring, personal protective equipment detection, behavior recognition and safety monitoringare emerging use cases for computer vision today. These capabilities will be enhanced by advanced predictive and prescriptive analytics for accident prevention in the future.
Computer vision deployments for worker safety present adoption challenges due to digital immaturity, poor safety culture and organizational politics.
Secure early wins in computer vision for worker safety by exploring and applying novel sensor and analytics approaches that reduce accidents and stoppages.
Establish use cases
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Analysts:
Lillian Oyen-Ustad, Nick Ingelbrecht
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