Shopping cart

  • Cart is empty

    Cart is empty

    Please add some product in your cart.

Sub Total €0.00

View Cart View Cart Checkout Checkout

  • Home
  • Blog
  • Prompt Engineering Best Practices
Prompt Engineering Best Practices

Prompt Engineering Best Practices

Edge AI

Edge AI and Internet of Things: Intelligent Devices

Edge AI brings artificial intelligence directly to devices at the network edge, enabling real-time processing without cloud dependency. Combined with IoT sensors, edge AI powers smart cities, industrial automation, and autonomous systems with low latency and improved privacy.

Edge Computing

What is Edge AI?

  • On-Device Processing: Running AI models locally on devices
  • Low Latency: Real-time inference without network delays
  • Privacy: Data processed locally, not sent to cloud
  • Bandwidth Efficiency: Reduced data transmission needs
  • Reliability: Operation without internet connectivity

Edge AI Hardware

  • Mobile NPUs: Neural processing units in smartphones
  • NVIDIA Jetson: Embedded AI computing platform
  • Google Coral: Edge TPU for ML inference
  • Intel Movidius: Vision processing units
  • Apple Neural Engine: On-device ML acceleration
IoT Devices

Model Optimization for Edge

  • Quantization: Reducing precision (FP32 to INT8)
  • Pruning: Removing unnecessary weights
  • Knowledge Distillation: Training smaller models
  • MobileNet, EfficientNet: Architectures for mobile
  • TensorFlow Lite, ONNX Runtime: Edge inference frameworks

IoT and Edge AI Applications

Smart Cities

  • Traffic Management: Real-time flow optimization
  • Public Safety: Surveillance and anomaly detection
  • Environmental Monitoring: Air quality, noise levels
  • Smart Lighting: Adaptive street lighting
Smart Applications

Industrial IoT

  • Predictive Maintenance: Equipment failure prediction
  • Quality Control: Real-time defect detection
  • Asset Tracking: Inventory and logistics
  • Energy Optimization: Power consumption management

Smart Home

  • Voice Assistants: On-device speech recognition
  • Security Cameras: Local person detection
  • Appliances: Intelligent automation
  • Energy Management: Optimized usage

Conclusion

Edge AI and IoT are enabling intelligent systems everywhere. As devices become more powerful and algorithms more efficient, edge AI will expand into new applications.

WizWorks develops edge AI solutions for IoT applications. Contact us for edge AI consultation.

(0) Comments

We Give Unparalleled Flexibility
We Give Unparalleled Flexibility
We Give Unparalleled Flexibility
We Give Unparalleled Flexibility