
• Up to 10× Ultra-HD compression enabling ultra-low bandwidth usage while preserving video quality and reducing storage requirements
• AI-Powered Perceptual Compression: Prioritizes key areas (faces, vehicles, license plates) while optimizing bitrate by compressing non-key areas.
• Multi-Format Support: Works with H.264/H.265, fits into main systems.

• Privacy-Aware Analytics: Processes video data while supporting privacy compliance.
• Smart Alerts: Detects anomalies such as intrusion or unattended objects.
• Behavior Analysis: Detects loitering, ensures PPE compliance, and alerts for restricted areas.
• Multi-Scenario Ready: Ideal for oilfields, utilities, logistics, and ports.

• Modular Deployment: Stackable architecture designed for easy integration.
• Web-Based Management: Configure compression policies and AI rules through a browser-based interface.
• Edge-Cloud Synergy: Local processing + centralized cloud storage to minimize uplink costs.

Uses perceptual video compression and multi-view encoding to dramatically reduce bandwidth usage.Delivering 4 synchronized camera feeds at just 400 Kbps total, compared to traditional streams consuming 2~4 Mbps per camera.
• Up to 90% Video Uplink Reduction for Bandwidth-Limited Environments — Enabling Multiple FHD Cameras over LTE, 5G, Starlink, and Satellite
• Ideal for Parking Lots,Gas Stations, Construction Sites, Wind Farms, and Offshore Vessels
• Real-Time Motion, Person & Vehicle Intrusion Detection
• On-Duty Monitoring & PPE Compliance Detection
• Easy retrofit to existing cameras/NVR Infrastructure
• AI-Powered Video Compression for Recording & Storage Efficiency
• Edge + Cloud Recording Architecture for better data backup
• Multi-Stream Recording Support (Main / Sub / Compressed Streams)
• Solar Optimization Mode & Low-Power Standby — Ideal for Solar-Powered Surveillance Trailers
• Intelligent Uplink Bandwidth Management (LTE / 5G / Starlink)
• Multi-Site Deployment & Centralized Device Provisioning, Camera grouping and mapping by NVR, trailer, or location
• Real-Time System Health Monitoring Dashboard
• Flexible Deployment Options, Cloud, Hybrid, or On-Premises Architecture
• Hybrid Recording & Cloud Backup, Cloud storage backup, edge + cloud recording, and secure remote browser access
• Role-Based Access Control (RBAC), Granular user permissions and multi-level administration

• Challenge: Temporary surveillance sites rely on LTE/5G networks where bandwidth is expensive.
• Solution: AI video compression reduces bandwidth up to 90%, enabling multi‑camera solar trailers to stream reliably while lowering cellular data costs.

• Challenge: Satellite bandwidth constraints limit real‑time monitoring.
• Solution: AI perceptual compression dramatically reduces bitrate enabling ship monitoring over satellite.

• Challenge: Remote industrial areas have limited connectivity for multiple cameras.
• Solution: AI compression allows multiple streams over Starlink while preserving visual detail.

• Challenge: High storage and bandwidth requirements limit camera deployments.
• Solution: Compression reduces storage needs and supports larger camera networks.

• Challenge: Manual patrol inspections delay incident detection.
• Solution: Edge AI compression enables near real‑time monitoring.

• Challenge: Multi-site camera streaming to remote monitoring centers consumes significant bandwidth.
• Solution: AI compression reduces bandwidth and storage by up to 90% while preserving evidence-grade video quality.