Edge AI

This section focuses on Edge AI engineering, exploring how AI models run efficiently on mobile devices, embedded systems, and industrial terminals.

Topics Covered

• Edge inference optimization (INT8 / FP16 / mixed precision)
• Deployment on Android, Linux, and embedded platforms
• RKNN, NCNN, TensorRT, OpenVINO
• Camera → inference → production pipelines
• Trade-offs between latency, power, and stability

Who This Is For

• Edge AI engineers
• Mobile and embedded developers
• Engineers focused on real-world deployment

Edge AI is not a compromise — it is engineering under constraints.