Computer vision AI

Our founder and CEO Tane van der Boon recently joined Dave on the Keep On Moving podcast (part of the NZ Trucking Media family) for what turned out to be a pretty wide-ranging conversation. They started with how inviol works and ended up deep in the philosophical weeds of AI, automation, and what the future of work actually looks like. If you work in logistics, warehousing, or transport (or anywhere people and machines share space, really), it's worth a listen. Dave asks the

There's a statistic that comes up again and again in workplace safety research: the vast majority of workplace injuries are preventable. Not theoretically preventable. Not "if we lived in a perfect world" preventable. Preventable with better visibility, better training, and better systems for catching risk before it turns into harm. The numbers support this consistently. The US National Safety Council classifies workplace deaths as "preventable" when they result from identifi

Let's talk about money. Not because safety is fundamentally a financial issue — it isn't. It's a human one. But if you're the person building a business case for computer vision AI, you need to know the numbers. And the numbers are compelling. The conversation about safety ROI has traditionally been framed around cost avoidance: how much did we save by not having an injury? That's a valid lens, but it's incomplete. Computer vision AI delivers return across multiple categories

It's one of the first questions every operations or EHS leader asks when they start looking at computer vision AI for workplace safety: "Do I need to buy new cameras?" The short answer is almost always no. Most industrial and commercial facilities already have CCTV cameras installed. If those cameras are modern IP (Internet Protocol) cameras — and the vast majority installed in the last decade are — they're almost certainly compatible with a computer vision AI platform like i

You don't need to be a machine learning engineer to understand how computer vision keeps people safe at work. But if you're an EHS leader, operations manager, or safety professional evaluating this technology, understanding the basics is genuinely useful. It helps you ask better questions, set realistic expectations, and make a more confident decision about whether it's right for your site. So let's strip away the jargon and walk through exactly how computer vision works for

Every year, roughly 395 million workers around the world are injured on the job. In the United States alone, businesses absorb more than $50 billion annually in costs tied to the most serious workplace injuries. Behind every one of those numbers is a person — someone who went to work expecting to come home safely. For decades, EHS (Environment, Health, and Safety) teams have worked hard to prevent these outcomes. They've built safety systems, run audits, delivered toolbox tal