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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

The process permanently stores some CO2 underground, reducing carbon emissions and carbon intensity. Photo courtesy UH

A new report from the University of Houston estimates that a method known as carbon dioxide-enhanced oil recovery (CO2-EOR) could recover roughly 137 billion barrels of U.S. oil—with Texas and the Gulf Coast poised to play a major role.

A UH Energy-produced white paper, titled “Revitalization of Mature Oil Fields: Opportunities and Challenges of CO2-EOR,” looks at how CO2-EOR could increase U.S. energy supply, reduce carbon emissions and lower the carbon intensity of oil production.

CO2-EOR injects pressurized carbon dioxide into mature oil wells to loosen and push oil trapped underground toward the production wells, allowing operators to extract oil typically left behind. The process permanently stores some CO2 underground, reducing carbon emissions and carbon intensity.

“Injected CO2 works to revitalize mature oil fields by reducing oil viscosity, improving sweep efficiency and restoring reservoir pressure, resulting in incremental oil production beyond primary and secondary recovery,” the report reads. “CO2-EOR also supports permanent carbon storage and by virtue of this will produce uniquely low-carbon intensity oil for global markets.”

Authored by Charles McConnell, executive director of UH's Center for Carbon Management in Energy, and Zhiyuan Li, a UH petroleum engineering doctoral candidate, the paper says that much of the opportunity lies right under the feet of Texas oil companies.

Texas and the Gulf Coast, including its offshore resources, have half of the nation's oil resources considered favorable for the CO2-EOR technology, the report says. According to UH, conventional U.S. oil reservoirs contain 624 billion barrels, with 434 billion barrels still underground, including about 20 billion barrels of proven reserves.

Still, the paper argues that the economics behind CO2-EOR need to be considered. The process’ success depends on a number of factors, including costs of carbon capture, field redevelopment, operations, monitoring, transportation and available tax incentives, according to UH.

Logistically, developing CO2-EOR operations out of older wells and infrastructure presents pros and cons. While using older wells can be more economical, aging infrastructure may require more frequent monitoring, inspection, repair or re-plugging, according to UH.

Ultimately, the report recommends focusing CO2-EOR development on mature oil fields with existing infrastructure, well-understood geology and reliable CO2 supplies. This approach, UH says, could help extend the productive life of existing oil fields while supporting “lower carbon intensity oil for global markets and a significant contribution to energy security.”

Read the full report here.

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