From camera to action, on-premise
Visual quality control and operational computer vision
We deploy systems that analyse camera and aerial footage in real time and turn it into operational decisions, on your own servers and, if required, offline (on-premise, meaning on your own hardware). Your image data never leaves your organization; the model runs on-premise.
What is computer vision?
Computer vision analyses camera and aerial footage and turns it into quantitative data and operational action. It does more than detect what is in an image; it flags missing items, anomalies or rule violations and supports decisions. For organizations, the critical question is usually not the technology itself but where the data is processed. Sending sensitive footage to cloud services is unacceptable for most public sector and healthcare institutions.
C3T is not a model developer; we are the integrator and implementing partner. We securely deploy the local or open model your organization chooses, integrate it with your existing systems and keep it running.
How does operational computer vision work?
Computer vision analyses camera and aerial footage in real time and turns it into operational decisions. C3T deploys these systems on the organization's own servers, offline. There are two main use cases: (1) facility and operations analytics — crowd monitoring, cleanliness and missing-item detection, staff and process tracking, licence plate recognition and historical operations reports; (2) infrastructure inspection — automatic scanning of drone and helicopter footage at up to 4K to detect deformation, bird nests and anomalies on power lines. Image data never leaves the organization; the model runs on-premise. It is applied in areas such as visual quality control in manufacturing and textiles, security and operations in healthcare and public facilities, and power line maintenance in the energy sector.
Computer vision use cases
We build computer vision along two main axes: facility and operations analytics, and drone-based infrastructure inspection. Both run on-premise and remain auditable.
Facility and operations analytics
Turns your existing camera feeds into operational data.
- Crowd monitoring and occupancy tracking
- Cleanliness and missing-item detection
- Staff and process tracking
- Licence plate recognition
- Historical operations reports
Infrastructure inspection (drone / helicopter)
Speeds up inspection by automatically scanning aerial footage at up to 4K.
- Deformation detection on power lines
- Bird nest and foreign object detection
- Anomaly flagging and prioritisation
- Line and infrastructure maintenance planning
Visual quality control
On manufacturing and textile lines, visual quality control detects product and surface defects directly from images. It runs at line speed, results are recorded in an auditable form, and the system processes everything on-premise within your own infrastructure.
Data sovereignty at the heart of the design
We build computer vision on three principles: on-premise operation, KVKK compliance and an integrator approach.
On-premise
The model runs on your own servers; if required, it is installed fully offline (air-gapped).
KVKK and data sovereignty
Because image data never leaves your organization, the data requirements of public sector and healthcare institutions are preserved.
Integrator approach
C3T does not build models; we securely deploy a local or open model, integrate it with your existing systems and keep it running.
What we have built
Concrete examples that show our scope and level of expertise, without naming the organizations for confidentiality reasons.
Offline camera analytics
Camera analytics running on a fully offline GPU server infrastructure: cleanliness and missing-item detection, crowd and occupancy tracking, staff and licence plate recognition, historical operations reporting. Image data never leaves the organization.
Drone inspection of power lines
Automatic scanning of drone and helicopter footage to detect deformation and anomalies on power lines, followed by maintenance prioritisation. Reduces the burden of field visits and speeds up inspection.
Policy alignment
Aligned with the national AI direction
Our computer vision approach, which runs on-premise, preserves data sovereignty and is built on local or open models, is in line with the secure and domestic technology priority set out in Türkiye's National AI Action Plan (2026-2030). It enables organizations to benefit from AI while keeping sensitive image data within their own boundaries.
Related services
Business Process Automation
We connect scattered systems and modules and turn repetitive work into AI-assisted, auditable workflows. Your data stays within your own infrastructure.
ExploreOn-Premise AI
We deploy AI on your own servers, offline if required and KVKK-compliant. The model and the data remain under your control.
ExploreFrequently asked questions
Does image data ever leave our organization?
No. The model runs on your own servers, on-premise (on your own hardware); if required, it is installed fully offline (air-gapped, meaning it never connects to the internet at all). Your image data never leaves your organization, so KVKK (Turkish Personal Data Protection Law) and data sovereignty requirements are preserved.
Does it work with our existing cameras?
In most cases it works with your existing camera infrastructure; new hardware is not mandatory. Camera resolution, streaming protocol and positioning are assessed during the free feasibility call, and suitability is reported to you clearly.
Which industries is it used in?
The main application areas are visual quality control in manufacturing and fabric quality control in textiles; security and operations monitoring in facilities and public institutions; and drone and helicopter inspection of power lines and infrastructure in the energy sector.
Is computer vision right for your organization?
Let's assess your existing cameras and operational needs together. In a free feasibility call, we'll clarify what can be achieved without your image data ever leaving your organization.