Artificial Intelligence (AI) is one of today’s most talked-about technologies—and behind the buzzwords are the components that actually make it work. For EHS professionals, two of the most powerful components are Computer Vision and Machine Learning. Together, they enable real-time visibility into workplace risks, smarter decision-making, and measurable improvements in safety performance.
What is Computer Vision?
Computer Vision (CV) is a branch of AI that lets machines “see” and interpret visual data. By utilizing cameras, sensors, and algorithms, computer vision can recognize patterns, detect movements, and analyze posture and environments in real-time.
In the workplace: CV can spot ergonomic risks—like repetitive movements or poor postures.
In daily life: CV powers facial recognition, autonomous vehicles, and medical imaging.
In short, Computer Vision gives AI eyes—allowing it to understand the physical world.
What is Machine Learning?
Machine Learning (ML) is the process that enables AI to “learn” from data rather than relying on rigid programming. By feeding algorithms large amounts of information, ML systems improve over time, identifying patterns and making increasingly accurate predictions.
In workplace safety: ML helps identify movements most likely to cause musculoskeletal disorders (MSDs).
In healthcare: ML powers diagnostic tools that can predict diseases earlier than traditional methods.
ML gives AI brains—helping it adapt, evolve, and provide smarter insights.
Why the Combination Matters
The real magic happens when Computer Vision and Machine Learning work together. Imagine this sequence:
A camera observes a worker’s posture (Computer Vision).
An algorithm compares the movement to millions of past examples (Machine Learning).
AI delivers a nudge: “Adjust your stance to avoid strain.”
It’s a cycle of seeing, learning, and acting—fast enough to make a difference in real time.
Why It Matters for Inseer
At Inseer, this isn’t just theory. We’re applying Computer Vision and Machine Learning to revolutionize how organizations prevent injuries. By analyzing posture and movement, we empower workers to make adjustments before strain becomes an injury, helping companies save costs and support healthier teams.
AI isn’t one thing—it’s a system built from many moving parts. And when Computer Vision and Machine Learning come together, they unlock the proactive, human-centred future we’ve been waiting for.
