Technology Behind Eyexus
Hardware, AI, connectivity and software designed around real field constraints.
Technology layers
Specialized cameras
Eyexus cameras are selected based on distance, lighting, field of view, weather, power availability and risk type.
- RGB
- PTZ
- Thermal option
- Night vision
- Outdoor enclosure
- Solar-ready
Edge AI
Edge AI allows local event detection and reduces the need to send all video continuously to the cloud.
- Local inference
- Event scoring
- Bandwidth reduction
- Resilience
- Human validation support
Vision AI
Vision AI can detect objects, people, vehicles, smoke, flame, zones and abnormal visual changes depending on camera positioning, lighting and configuration.
- People
- Vehicles
- Smoke
- Flame
- Zones
- Anomalies
Vision Language Models
Eyexus can evolve toward natural language interaction, helping users ask operational questions about site activity.
- What happened in Zone A today?
- Was there activity after working hours?
- Show the last visual change near the storage area.
- Summarize yesterday's site events.
Data and alerts
The system transforms images into events, scores, snapshots, video clips, reports, notifications and API data.
- Events
- Scores
- Snapshots
- Video clips
- Reports
- Notifications
- API data
Design a technical architecture for your site.
Camera selection, AI models, network architecture and hosting model should match the field reality.