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Edge AI Security Monitoring for Remote & Off-Grid Sites
Build event-triggered monitoring systems for remote, temporary, and fixed
deployments — with local inference, flexible connectivity, and open integration.
Event-First
Trigger-based inference
On-Device AI
No cloud dependency
OTA
Remote model update
Multi-Node
Fleet-managed
Why Conventional Security Systems Fail
Off-grid and temporary security deployments have structural constraints that standard camera systems and cloud-first AI platforms cannot resolve.
01
Power and connectivity are absent or unreliable
Sites operate without mains power or fixed net-work. Streaming continuous video over intermittent LTE is neither bandwidth-efficient nor cost-feasible — and it fails silently.
02
Cloud inference adds latency, cost, and failure risk
Sending images or video upstream for AI processing introduces round-trip latency, per-call API cost, and a failure point on every event. A detection that depends on a network call is not a reliable detection.
03
Locked AI models cannot serve specialised use cases
Standard cameras ship with fixed detection models. Integrators with differentiated use cases — fly-tip behaviour, occupancy patterns, custom object classes — have no path to deploy their own models on the device.
Built for Event-Driven Edge Security
From event-triggered capture to local AI inference and open integration, these capabilities make security monitoring systems practical to deploy and easy to scale.
Event-Triggered Capture
Wake only when an event occurs — using PIR, GPIO, or motion thresholds. Power is consumed only on trigger, enabling practical battery or solar deployments.
Local AI Inference
Process video locally to eliminate network dependency. On-device inference guarantees detection even when connection drops, avoiding cloud API latency and recurring costs.
Custom AI Models
Deploy your own detection models for specialized use cases. From wildlife monitoring to PPE compliance, our open platform supports custom neural networks.
Flexible Connectivity
Connect via WiFi, LTE, or satellite based on site requirements. Adaptive bitrate streaming ensures critical alerts get through even on constrained networks.
Fleet Management
Manage thousands of remote devices from a single dashboard. OTA updates, bulk configuration, and remote diagnostics minimize site visits and maintenance costs.
Open Integration
Easily integrate with VMS platforms, alarm receivers, and custom dashboards via standard protocols like ONVIF, MQTT, and webhooks.
One Edge AI Architecture. Multiple Deployment Modes.
From low-power sensing nodes to fixed AI cameras and centralized gateways, the same edge AI logic adapts to site requirements.
Standalone Edge Monitoring
Deploy one independent AI node wherever temporary or off-grid monitoring is needed. The device wakes on PIR/GPIO triggers, runs inference locally, and sends structured alerts directly to your platform — no gateway or continuous cloud processing required.
Gateway-Based Monitoring
Extend coverage across larger sites without adding full AI compute or cellular connectivity to every camera point. Low-power sensor nodes send image data to one on-site gateway, where AI inference, alert logic, and event upload are handled centrally.
Fixed AI Camera Monitoring
Deploy PoE-powered AI cameras at permanent sites where continuous detection and higher-performance models are required. Each camera runs inference on-site, with optional gateway aggregation for multi-camera analytics, local storage, and integration into existing VMS, alarm, or security systems.
Built for Real-World Security Scenarios
The same edge AI system can be adapted across remote, temporary, and fixed deployments.
Vacant Property Monitoring
Detect intrusion at vacant buildings with PIR-triggered AI alerts and image evidence.
Construction Site Security
Monitor site zones for after-hours intrusion and equipment tampering.
Retail Loss Prevention
Deploy AI cameras fast in high-risk retail areas without fixed infrastructure.
Fly-tipping Detection
Recognise illegal dumping and vehicle unloading in roadside or rural areas.
Remote Asset Protection
Protect remote equipment and vehicles with battery-powered AI monitoring.
Industrial & Warehouse Security
Monitor access points and hazardous zones with continuous AI detection.
Choose Your Deployment Hardware
Each product fills a defined role in the architecture described above. The system works with any combination of roles — not every deployment requires every role.
Low-Power Sensor Node
NE101
3-year+ battery life with PIR/GPIO-triggered capture and MQTT transmission. A low-power frontend sensor that sends images to NG4500 for centralized AI processing.
Edge AI Node
NE301
NPU-accelerated local AI inference with PIR-triggered wake and LTE alert transmission. Operates as an independent edge AI node for rapid-deployment and off-grid scenarios — no gateway required.
Edge AI Gateway
NG4500
Up to 157 TOPS edge compute hub for aggregating 4–32 sensor nodes, running centralized AI inference, local alert logic, and LTE event uplink.
NeoEyes NE503
AI IPC Camera
20 TOPS NPU, 4K imaging, and PoE power for fixed-site, always-on AI detection.
Containerized application platform, multi-model concurrent inference.
Interested in early access?
Open by Design. Ready for Your Stack.
If you already have an AI platform, alarm backend, or VMS — CamThink sits at the edge and feeds your existing stack. No proprietary middleware required.
01
Open Device Access
CamThink systems expose firmware behavior, GPIO configuration, and sensor interfaces, allowing integrators to define system logic without restrictions imposed by closed hardware.
02
Standard Data Protocols
Events and image data are delivered through standard protocols like MQTT and HTTP. This enables direct integration with existing AI pipelines and alarm systems without additional middleware.
03
Remote System Updates
Deploy and update AI models or firmware remotely via OTA. This allows you to maintain and iterate across distributed deployments without physical access.
04
Scalable Deployment Model
Start with a few units, scale to thousands — using the same integration approach. No rework, no system changes as deployments grow.
Get in Touch
Tell us about your application, product interest, or custom requirements. Our team will get back to you.
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Explore Related Resources
Edge AI vs Standard 4G Cameras for Construction Site Security
A practical comparison for temporary and off-grid sites. See how on-device AI helps reduce false alarms, LTE data usage, and cloud dependency while supporting custom detection and system integration.
Read the Article →Evaluate The Hardware
Order evaluation units to test integration, AI performance, and power behavior before scaling.
Go to Store →Explore Documentation
Review firmware architecture, APIs, MQTT payloads, GPIO interfaces, and NeoMind integration guides.
Open Docs →Ready to Evaluate for
Your Deployment?
Discuss Your Deployment
Talk to our team about multi-site deployments, custom hardware, connectivity requirements, or application-specific AI models.
Go to BlogEvaluate The Hardware
Order evaluation units to test integration, AI performance, and power behavior before scaling.
Go to StoreExplore Documentation
Review firmware architecture, APIs, MQTT payloads, GPIO interfaces, and NeoMind integration guides.
Open Docs