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Edge AI – Intelligence at the Camera

Edge Computing Hardware
Edge AI: High-performance computing in compact form factors

In a world demanding real-time responses and data sovereignty, Edge AI is becoming essential. Moving intelligence directly to the data source – the camera – is revolutionizing industrial applications.

Edge AI by the Numbers

<10ms latency vs. 100-500ms cloud | 100% local data processing | 90% reduced bandwidth

Why Edge AI?

  • Real-time Processing: Milliseconds instead of seconds response time
  • Data Privacy: Sensitive data never leaves the premises
  • Cost Efficiency: No cloud fees, minimal bandwidth requirements
  • Reliability: Works offline – no internet dependency

Leading Edge AI Platforms 2025

NVIDIA Jetson Family

Jetson AGX Orin: Up to 275 TOPS, 15-60W power

Jetson AGX Thor: 2,070 FP4 teraflops, 128GB memory

Best for: Multi-camera systems, robotics, industrial automation

Google Coral

Edge TPU: 4 TOPS at only 2W power consumption

Best for: Low-power IoT, battery-operated devices

Intel OpenVINO + NCS2

Myriad X VPU: Flexible model optimization

Best for: Retrofitting existing x86-based infrastructure

Edge AI at bluepolicy

Our edge solutions deliver the best of both worlds:

  • Hybrid Architecture: Real-time inference locally, complex analytics in the cloud
  • Over-the-Air Updates: Update models remotely without on-site visits
  • Model Optimization: Quantization and pruning for maximum performance
  • Industrial Housing: IP67-rated enclosures for harsh environments

Typical Savings with Edge AI

90% less bandwidth | 60% lower cloud costs | 95% faster response

Edge AI for Your Project

We help you select optimal hardware and develop custom edge solutions.

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