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Computer vision is a field of artificial intelligence that enables computers to interpret and understand visual information from the real world, such as images and videos. The technology can be complex and costly due to the need for advanced hardware and software and the expertise required to develop and implement practical solutions.

That’s the problem Kibsi set out to solve.

In the latest installment of Channel Insider: Partner POV, host Katie Bavoso sits down with Tolga Tarhan, CEO and founder of Kibsi, an AI-powered computer vision platform startup, to discuss how the company is making computer vision more accessible and affordable for businesses of all sizes by leveraging their existing security camera systems to not only record video but also interpret data.

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Introducing the innovator behind Kibsi: Tolga Tarhan

After welcoming Tarhan to the show, Bavoso acknowledges her familiarity with Kibsi’s innovative approach from browsing the website and points out the transformation in computer vision from what was once considered akin to James Bond technology to a more accessible tool today.

Tarhan reveals that Kibsi allows customers to use their existing camera systems, enhancing their ability to gather unprecedented data and insights.

“Kibsi turns what we see in a camera feed; we turn that image into data in real-time. And so it’s a little bit like a minority report, where you’re just analyzing what’s happening in the real world. But think of it as business intelligence powered by your cameras today,” Tarhan explains.

Distinguishing computer vision in AI

In a detailed response to Bavoso’s query about defining computer vision, Tarhan classifies it as a subset of AI. Computer vision focuses on transforming unstructured images into structured data and identifying elements such as people or objects within a visual scene.

“We take images from cameras that are not structured. We take that image and turn it into, ‘Hey, there was a person here doing this thing. There was a box here with this stuff in it.’ It’s taking apart what we see in the scene and making it into something we could then store and analyze as if it was kind of digital data, to begin with,” he details.

The growth and scope of AI in computer vision

Bavoso cites a report from Kings Research, predicting a significant compound annual growth rate (CAGR) of over 37% in the AI computer vision market by 2030, indicating a robust growth trajectory.

Further reading: Will Generative AI Revolutionize MSP Security?

Real-world applications of Kibsi

Tarhan explains success stories where Kibsi has significantly better operational capacities, highlighting its use in zoos and industrial settings like airports and warehouses. He particularly notes how their technology aids in animal welfare and operational efficiencies.

“So, in zoos, what we’re doing is helping with animal welfare by monitoring the behavior of animals,” Tarhan explains. “These things help catalog the behavior of animals to ensure that the animals are well taken care of, that they’re well, that the enrichment is working, and that they’re not bored or anxious.”

The industrial application and economic benefit of Kibsi

Additionally, he discusses how Kibsi helped a large construction materials manufacturer detect issues with their production line, preventing delays and inefficiencies. Tarhan provides examples of how Kibsi prevents operational delays by identifying packing errors on conveyor belts in real-time, hence averting potential jams. This capability underscores the economic benefit of Kibsi, showcasing a significant return on investment through enhanced operational efficiencies.

“What Kibsi does is let you address these problems, which are paper cuts causing inefficiency, outages, and production problems. It lets you do it without investing millions of dollars in reworking an entire production line. Just aim a camera, define the business process, and start getting data out,” Tarhan answers.

Understanding implementation

When asked about the ease of integration, Tarhan clarifies, “Most of our customers already have cameras installed for security purposes… and really, it becomes very simple to turn this on because if the camera’s already in place, it’s all just software.”

Tarhan explains that Kibsi can easily integrate with existing camera systems, leveraging the footage for AI-powered analysis without additional hardware installations or significant infrastructural changes.

The engine behind Kibsi

Kibsi works closely with hyperscalers like AWS to leverage their cloud infrastructure and machine learning capabilities, ensuring seamless integration and scalability for its platform.

“We are an all-in AWS shop… They not only power our technology, but they also help us go to market and helped us as a startup in the early days,” Tarhan says.

IT channel partners have a unique opportunity to collaborate with Kibsi as an independent software vendor, offering solutions to their clients and driving business growth in the evolving field of computer vision and AI.

Expanding market presence, prospects, and collaborative opportunities

Looking ahead, Tarhan outlines plans to scale Kibsi’s operations and expand its customer base. He expressed interest in exploring collaborative potential with channel partners, including SIs (system integrators) and camera ecosystem providers such as camera manufacturers, installers, and security vendors, to broaden the implementation and integration of Kibsi’s AI solutions across more industrial sectors.

He expresses enthusiasm for partnerships that could enable businesses to leverage their existing digital assets more effectively using Kibsi’s platform.

How to connect with Kibsi

Tarhan directs interested parties to visit Kibsi’s website to learn more about the platform. He invites potential customers to engage with Kibsi and shape the future of applied AI in industrial environments.

Show your support for Tarhan’s project by connecting with him (and us!) on LinkedIn. Also remember to follow Channel Insider: Partner POV for upcoming interviews, special episodes, and more.

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