Frequently Asked Questions

The system requires standard 12V/24V power available in every construction machine. Installation takes 2-3 hours per machine and doesn't require cabin modifications. The edge computing unit works offline, so constant internet connection is not required.

Yes! Safe Zone AI was designed specifically for harsh construction conditions. The system is dust-proof (IP67), vibration-resistant, operates in temperatures from -20°C to +60°C and high humidity. This is confirmed by deployments in mines and infrastructure construction sites.

Yes, we offer REST API and ready integrations with popular ERP systems (SAP, Oracle) and fleet management platforms. Data can be exported in CSV, JSON formats or synchronized in real-time.

Thanks to edge computing, all AI analysis happens locally on the device in the cabin. Data is buffered and synchronized with the central dashboard when connection is available (Wi-Fi at base, LTE). The system works 100% offline.

No! The system is completely contactless. Cameras and sensors are mounted in the cabin and automatically detect seatbelts, phones and other behaviors without requiring operators to wear any devices.

Yes! We offer a 30-day pilot program on 5-10 machines with no commitments. We provide devices, install the system, train your team and provide full support. After the pilot, you receive a results report with recommendations.

Cost consists of one-time fee for devices and installation plus monthly SaaS subscription (dashboard, storage, updates). We offer models: purchase, leasing or pay-per-machine. Detailed quote is prepared after consultation and fleet audit.

Deployment depends on fleet size. For example: 10 machines = 1 week, 50 machines = 2-3 weeks, 100+ machines = 4-6 weeks. Installations can be done in stages during scheduled maintenance to avoid disrupting operations.

Every client has a dedicated Customer Success Manager. We offer: 24/7 helpdesk, remote technical support, regular team training, quarterly business reviews and access to online knowledge base. SLA guarantees <2h response for critical issues.

100% yes. The system was designed with GDPR in mind. We process only necessary data (no facial recognition!), use end-to-end encryption, data is stored in EU, we ensure right to deletion and provide full documentation for DPO.

No. Safe Zone AI analyzes images in real-time using AI and creates only events: "Seatbelt unbuckled 10:23" without saving video. You can optionally enable 10-second clips around incidents, but by default the system works without recording.

Data is stored on EU servers (AWS Frankfurt or own on-premise infrastructure). Edge computing ensures that raw video NEVER leaves the device. Only metadata and statistics are synchronized.

Yes, according to GDPR operators must be informed. We provide ready communication materials, cabin stickers "Safety Monitoring" and help conduct transparent deployment. Transparency increases system acceptance.

You control access. System has roles: Administrator (full access), Manager (sees their fleet), Auditor (only aggregated reports). Every action is logged. You can set who sees what and how long data is retained.

For operators, the system is zero-effort - they just work normally. Training (30-60 min) is for managers who will use the dashboard. We provide video materials, step-by-step instructions and live training during deployment.

System has escalation mechanisms: (1) First alert in cabin (sound/LED), (2) After 3 ignores - manager notification, (3) Periodic report for management. We focus on education, not punishment - gamification and positive reinforcement give better results.

Yes! System is fully configurable. You can set: time threshold for "seatbelt unbuckled", alert types (critical only/all), schedule (e.g. disable alerts during idle) and separately for each machine/location.

AI is trained on hundreds of thousands of hours of construction site video. Accuracy > 98%. False alarms are < 2% and continue to decrease through machine learning. You can also mark false alarms in the dashboard, which helps train the model.