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Podcast: How AI-powered detection can prevent workplace accidents before they happen

Stephen Ojji is rethinking workplace safety. Courtesy photo

Workplace safety has always been reactive. Incidents happen, reports are filed, lessons are learned — sometimes too late. But what if safety wasn’t about reacting to accidents, but preventing them altogether?

In this episode of the Energy Tech Startups Podcast, Stephen Ojji, founder and CEO of VisionTech, challenges how high-hazard industries approach safety. His vision? AI-driven incident detection that doesn’t just monitor the workplace —i t actively prevents injuries, ensures compliance, and builds a stronger safety culture.

From Oil and Gas Safety to AI Innovation

Stephen’s journey into energy tech isn’t what you’d expect. Starting as a safety engineer in Nigeria’s oil and gas sector, his early career was focused on ensuring compliance, training teams, and reducing workplace risks. But he quickly realized a flaw in the system — many incidents weren’t being reported at all.

"Workers don’t always report hazards, and not because they don’t care," he explains. "Sometimes it’s fear of consequences. Sometimes it’s just human nature — we’re focused on getting the job done. But ignoring small risks leads to big accidents."

That’s where VisionTech’s AI-powered safety monitoring system comes in. Instead of relying on human reporting, VisionTech integrates with existing workplace cameras, using computer vision technology and AI to detect:

  • Spills, fire hazards, and safety violations in real-time
  • Workers at risk of injury due to incorrect lifting techniques or missing PPE
  • Trends in safety culture, helping companies address recurring risks

"Think of it like having an extra set of eyes that never blinks," Stephen says. "Not to police workers, but to protect them."

AI and Safety: Moving Beyond Compliance to Prevention

Unlike traditional workplace monitoring, VisionTech’s AI safety system doesn’t track individuals — it tracks behaviors. The system uses ghosting technology, ensuring that workers’ identities remain anonymous while hazards are flagged instantly.

This shifts the focus from penalizing mistakes to empowering safer work environments.

"Companies say they care about safety, but what does that really mean?" Stephen challenges. "If safety is the priority, why not use every tool available to protect workers before an accident happens?"

And here’s the kicker: VisionTech doesn’t just detect risks. It helps companies act on them.

Instead of logging safety incidents in spreadsheets that go unread, the system transforms safety data into actionable insights — identifying patterns, trends, and areas for improvement that help companies make real, lasting changes.

Why Now? The Urgency for Smarter Safety Solutions

With OSHA regulations tightening and ESG commitments pushing for stronger worker protections, industrial companies are under growing pressure to do more than just meet compliance standards.

At the same time, AI and machine learning have advanced rapidly, making AI-powered safety monitoring more affordable, scalable, and accurate than ever before.

"If we had tried to build this 10 years ago, it wouldn’t have worked," Stephen admits. "The technology wasn’t ready. The market wasn’t ready. But today? It’s the right time, and the right tool for a problem that’s been ignored for too long."

What’s Next for VisionTech?

Currently in the MVP stage, VisionTech is preparing for pilot programs with oil and gas companies to prove its impact in real-world environments. The plan? Scale beyond oil and gas into manufacturing, construction, and any industry where safety matters.

But for Stephen, this isn’t just about launching another safety product — it’s about changing how companies think about protecting their workers.

"Safety isn’t just a compliance box to check," he says. "It’s about people. If companies really believe that ‘our employees are our greatest asset,’ then investing in their safety should be the easiest decision they ever make."

This is a conversation you don’t want to miss.

See the full episode with Stephen Ojji on the Energy Tech Startups Podcast below, or click here to listen.

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Energy Tech Startups Podcast is hosted by Jason Ethier and Nada Ahmed. It delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.

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A View From HETI

Corpus Christi, Texas is already facing prolonged drought and water concerns. Photo by Brandon Bell/Getty Images

A draft of Texas’ 2027 State Water Plan is drawing concerns from some water protection advocates who say it fails to account for one growing industry: data centers.

The plan, created by the Texas Water Development Board, will guide tens of billions of dollars in water development projects over the coming decades.

On Memorial Day, people packed Lake Travis to enjoy the water and sunshine while the lake remains near full capacity. But some advocates warn drought conditions could quickly return.

“Once we get into August, September, we'll be probably right back in the same drought situation,” said Mike Clifford with the Greater Edwards Aquifer Alliance.

The Texas Water Development Board released the draft plan in April. It recommends thousands of water projects carrying a projected cost of $174 billion over 50 years.

“We're not as shocked about the dollar amounts as some people are,” Clifford said. "To secure our water future, that's not an insane amount to ask for."

However, Clifford said his organization was surprised the draft does not specifically account for the growing impact of data centers, which can consume large amounts of water.

“If you leave the data centers out, it's not really a plan in our opinion. It's going to have to be changed and it's going to fall short,” Clifford said.

According to Data Center Map, Texas is currently home to 461 data centers.

Clifford argues the state should use projected future growth, not just historical data, when planning for long-term water needs.

“They're looking at the previous 10 years or 20 years or whatever, and we didn't have a lot of data centers in Texas,” he said.

Researchers at the the University of Texas at Austin estimate data centers could account for as much as 9 percent of Texas’ total water use by 2040, or potentially surpass the oil and gas industry that same year.

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Read the full story from CultureMap news partner KVUE.com.

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