Watch for the latest AI advancements improving workplace safety.

AI revolutionizes EHS processes, automating near miss reporting, housekeeping checks, PPE monitoring, and vehicle supervision. It provides accurate data for better safety management. Configuring AI systems like computer vision is user-friendly, no machine learning expertise needed.

Workplace safety has evolved through three generations of EHS workflows. Initially reactive, it became more organized with digital incident logging. Now, the third generation focuses on proactive and predictive safety using technology like Surveily's computer vision. The goal is to achieve an injury-free workplace by identifying and mitigating risks in advance.

Environmental Health and Safety (EHS) training is an integral part of many industries, aimed at minimizing hazards and risks in the workplace.

This article outlines how to apply GDPR's data protection principles to CV technology. It emphasizes transparency, specified purposes, data minimization, storage limitation, accuracy, and integrity/confidentiality.

Privacy design frameworks like Privacy by Design (PbD) ensure privacy protection. Surveily incorporates encryption, access controls, and adheres to PbD principles. While challenges exist in designing AI-based systems, organizations using privacy design frameworks demonstrate a commitment to privacy.

AI and computer vision can aid organizations in achieving OHS accreditation goals efficiently. Computer vision enables constant monitoring, feedback, and prevention of accidents (Plan stage). It also collects video clips for process assurance (Do stage) and monitors hazards and control effectiveness (Check stage). AI manages information overload and automates workflows (Act stage).