Deployment & Privacy

100% On-Premise
Edge AI Deployment

Your video data never leaves your facility. All AI processing happens on-site on NVIDIA Jetson or Mini-PC hardware. Full GDPR and KVKK compliance.

Privacy by Design

We built SafetyEye AI with privacy as a core principle, not an afterthought.

🔒

No Cloud Upload

All video processing happens locally on edge hardware. No frames or video streams are transmitted to any external server.

👤

Face Blurring

Built-in face anonymization in all recorded footage, screenshots, and reports. Configurable per camera and zone.

GDPR & KVKK

Fully compliant with EU General Data Protection Regulation and Turkish Personal Data Protection Law (KVKK).

🏢

Data Sovereignty

You own the hardware, you own the data. Complete control over what's stored, how long, and who has access.

🕐

Retention Control

Configurable data retention policies. Auto-delete footage after specified periods. Audit-ready logging.

🔑

Access Controls

Role-based access to the dashboard. Audit trail for all administrative actions and configuration changes.

Edge Hardware Options

Choose the hardware that matches your facility size and monitoring needs.

Tier Hardware Cameras Analysis GPU Size
Starter NVIDIA Jetson Orin Nano Super 4–8 Nightly Batch 1024 CUDA cores Palm-sized
Professional NVIDIA Jetson Orin NX 16GB 8 Live 5 FPS 2048 CUDA cores Palm-sized
Enterprise Mini-PC + RTX 4060 Ti / 4090 16–32+ Live High FPS 4352+ CUDA cores Small tower

Deployment Process

From initial assessment to operational system in 10-12 business days.

1

Site Assessment

We audit your camera infrastructure, network topology, and safety requirements. Remote or on-site.

2

Model Training

Using facility footage, we train a custom YOLO11 model via the Data Engine for your specific environment.

3

Hardware Setup

Edge device is configured, connected to your camera feeds, and deployed in your server room.

4

Go Live

System goes live with real-time monitoring, alerts, and dashboard access. Ongoing support and model updates.

Data Flow Architecture

What stays on-site vs. what goes to the cloud.

🏢 On-Premise (Your Facility)

  • All video/camera feeds
  • AI inference & detection
  • Face blurring & anonymization
  • Alert generation engine
  • Detection model weights

☁️ Cloud (Optional)

  • Alert metadata (text only)
  • Compliance report summaries
  • Dashboard remote access
  • Never: video streams
  • Never: raw camera frames

Deploy SafetyEye AI On Your Terms

Full data sovereignty. No cloud dependency. Your facility, your data.