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How IncreaWorks Helped Dahua Turkey Turn a Major Public University Deployment Into a Credible B2B Reference

Customer Profile

Client Dahua Technology Turkey
End Project Karadeniz Teknik Üniversitesi (KTÜ)
Contact Hasan Yaman, Head of Protection and Security Department
Industry Higher Education / Public Sector Security
Location Trabzon, Turkey
Systems Deployed HD Cameras · Night Vision · Face Recognition · AI Object Detection · License Plate Recognition · Cloud-Based Central Monitoring
Services by ICW Corporate Video Production · Success Story Development · B2B Content Storytelling

The Challenge

A University That Could See Everything by Day — and Almost Nothing by Night

Karadeniz Teknik Üniversitesi is one of Turkey’s established public universities, operating a large campus that houses thousands of students and staff across multiple buildings and open areas. The university’s security function operates on two parallel tracks: physical security through personnel, and technological security through systems and devices.

For years, the technological track had a critical and clearly understood weakness — and Hasan Yaman, Head of the University’s Protection and Security Department, was able to articulate it with precision.

The existing cameras had no night vision capability. During the day, image resolution was good. But after dark, in areas where external lighting was insufficient, the camera system produced footage that was unusable for security purposes. The gap between daytime and nighttime coverage was not a minor limitation — it was the single largest security vulnerability on the campus.

There was no face recognition. Controlling access to and movement through a large university campus requires the ability to identify individuals. The existing system had no capacity to support face-based identification, which meant that camera coverage, regardless of resolution, could not contribute to identity-based security decisions.

There was no intelligent object detection. The existing system could not distinguish between a person, a vehicle, and an animal. For a campus environment where all three move through shared spaces at all hours, this meant security teams received undifferentiated alerts — or no alerts at all — rather than the precise, categorised information that enables meaningful response.

Recording capacity was insufficient. The volume of footage the system needed to retain exceeded what the existing infrastructure could store, creating gaps in the audit trail that security operations depend on.

The number of cameras was inadequate for the size of the campus. Coverage was incomplete. Blind spots existed. The system in place was not built for the scale of the environment it was supposed to protect.

“Our old camera system had no night vision capability. Night vision was what we wanted. We specifically wanted face recognition. We wanted live object distinction — the ability to show vehicles, people, and animals separately. And we wanted to increase recording capacity. The devices installed at the time had none of these features.”

Hasan Yaman, Head of Protection and Security Department, Karadeniz Teknik Üniversitesi

The IncreaWorks Solution

Documenting an Institutional Security Upgrade for the B2B Market

The Dahua deployment at KTÜ addressed every one of the university’s stated requirements — and Hasan Yaman’s ability to articulate the before and after with technical clarity made this an unusually strong candidate for a B2B reference video.

IncreaWorks was engaged to capture this story in a format that would function as a credible, sector-specific reference case for Dahua Turkey’s higher education and public institution vertical.

Story Architecture and Script Development. IncreaWorks structured the narrative around the specific capability gaps the university had documented before the deployment, and the precise ways the Dahua system resolved each one. The before-and-after structure — told by the head of security himself — gives the content the factual grounding that procurement decision-makers in public institutions require.

On-Site Video Production at KTÜ. The production team filmed on location at the university, with Hasan Yaman speaking directly to camera as the institutional authority responsible for the security function. His testimony covers the original problem, the technology requirements, the previous system’s failures, and the outcome of the Dahua deployment — in the kind of measured, institutional language that resonates with procurement committees and security directors at peer institutions.

Post-Production and Platform Delivery. The completed video was produced and delivered for publication on Dahua Technology’s official global YouTube channel, establishing KTÜ as an international reference case for AI-powered campus security in the higher education sector.

What Was Deployed at Karadeniz Teknik Üniversitesi

High-Resolution Cameras with Night Vision. The core gap in the previous system — complete loss of usable footage after dark — was eliminated. The new Dahua cameras maintain effective image quality in low-light and nighttime conditions across all areas of the campus, including those with insufficient external lighting.

AI-Powered Face Recognition. Face recognition capability was deployed campus-wide, enabling identity-based security functions that the previous system could not support at any level.

Intelligent Object Detection — Vehicles, People, Animals. Dahua’s AI-powered detection layer classifies moving objects by category in real time, allowing security teams to receive specific, actionable alerts rather than undifferentiated motion triggers. The ability to distinguish between a person, a vehicle, and an animal in a live feed is one of the capabilities Yaman specifically identified as absent in the previous system.

License Plate Recognition. Vehicle access and movement across campus entry points can now be monitored and logged with automated plate recognition, adding a controllable layer to campus access management.

Expanded Camera Coverage. The number of cameras deployed was increased to address the coverage gaps that had created blind spots across the campus perimeter and interior zones.

Increased Recording Capacity. Storage infrastructure was scaled to match the volume of footage the campus security function requires, eliminating the audit trail gaps caused by the previous system’s capacity limitations.

Cloud-Based Central Monitoring. All systems are integrated through Dahua’s cloud-based central monitoring platform, giving the security team real-time visibility across the entire campus and the ability to respond to events from any location.

“With this system, we have resolved all of those issues. In terms of capacity as well, we believe we are now in a significantly better position.”

Hasan Yaman, Head of Protection and Security Department, Karadeniz Teknik Üniversitesi

The Outcome

From Documented Gaps to Documented Capability

The KTÜ deployment closed every gap Hasan Yaman had identified before the project began — and the before-and-after contrast is documented on camera by the person who was responsible for managing those gaps.

Night vision capability across the entire campus replaced a system that was effectively blind after dark in large portions of the campus environment.

Face recognition, live object detection, and license plate recognition brought the university’s camera infrastructure to the standard of a modern intelligent surveillance system — capabilities that were entirely absent from the previous deployment.

Increased camera count and expanded recording capacity eliminated both the physical blind spots and the data retention limitations that had constrained the security function under the previous system.

Cloud-based central monitoring gave the security team a unified, real-time operational view of the entire campus — and the ability to intervene from any location, at any time.

A replicable model for higher education security infrastructure. The KTÜ deployment is now professionally documented and available as a reference case for any public university, higher education institution, or large campus operator evaluating a comparable security upgrade.

Key Benefits

  • Full night vision capability across the campus — eliminating the system’s most critical operational gap
  • AI-powered face recognition, object detection, and license plate recognition deployed at institutional scale
  • Expanded camera coverage and recording capacity addressing both blind spots and audit trail limitations
  • Cloud-based central monitoring enabling real-time campus-wide visibility and remote response capability
  • An institutional reference case documented by the head of security — credible, specific, and directly relevant to peer institutions evaluating similar programmes

ICW Services Delivered

  • B2B Success Story Strategy & Script Development
  • On-Site Corporate Video Production (University Campus)
  • Post-Production & Editing
  • Platform Delivery for Dahua Technology’s Global Corporate Channel

Industry Tags: Campus Security · Higher Education · AI Surveillance · Face Recognition · Night Vision · Public Sector · Cloud Monitoring · Corporate Video Production · B2B Storytelling

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