What to expect

This Elektor edition guest-edited by Edge Impulse explores the edge AI workflow, from data collection and model training to deployment and optimization:

End-to-End Edge AI
A hands-on object detection series that walks through the complete machine learning pipeline on embedded hardware.
High-Resolution, High-Speed Object Counting (Nvidia Jetson Nano, TensorRT)
Pushing inference speed and precision for visual counting applications.
PCB Defect Detection with Computer Vision (Raspberry Pi)
Smarter manufacturing through embedded vision.
Smart Building Ventilation with Sensor Fusion
AI-powered environmental optimization for energy efficiency.
Analog Meter Reading (Arduino Nicla Vision)
A TinyML approach to automating analog infrastructure.
Smart Appliance Control Using Voice Commands (Nordic Thingy:53)
Speech recognition at the edge.
Liquid Classification with TinyML (Seeed Wio Terminal + TDS Sensor)
Combining IoT sensing and embedded ML for fluid analysis.
Surgery Inventory Object Detection
Applying real-time vision to healthcare logistics.

Plus, the magazine includes exclusive interviews with: Edge Impulse co-founders Zach Shelby and Jan Jongboom; Qualcomm Technologies VP of product management Manny Singh; and EDGE AI FOUNDATION CEO Pete Bernard. Also included are a Tech the Future essay titled "AI at the Edge: Powering the Next Generation of Devices," an Industry Case Study on GlobalSense, and more.

Details

Customer Reviews