In traditional embedded development, electronic engineers need to focus on software development and hardware fundamentals. However, with the evolution of technology, emerging fields such as Artificial Intelligence (AI) and the Internet of Things (IoT) have significantly transformed embedded development. So, what technologies should engineers pay attention to today?
1. Edge Computing and AI Deployment
Model Optimization Techniques:
Using TensorFlow Lite to quantize CNN models to 8-bit integers for real-time inference on Cortex-M7.
Model Pruning and Knowledge Distillation: Deploying lightweight YOLOv5 object detection on ESP32.
2. Wireless Communication and Networking
Low Power Wide Area Network (LPWAN):
LoRaWAN protocol implementation: Completing node networking and data transmission on SX1276 chip.
Bluetooth Mesh Networking: Implementing self-organizing networks for smart home devices using nRF52840.
3. Security and Reliability
Encrypted Communication:
Porting TLS 1.3 protocol stack to achieve MQTT over TLS for secure IoT communication.
Optimized implementation of Elliptic Curve Cryptography (ECC) on resource-constrained devices.
Fault Injection Testing:
Using JTAG to simulate bus errors and validate system fault tolerance mechanisms.
Temperature Gradient Testing: Validating system stability in the range of -40℃ to 85℃.
This article is an original piece by Fan Yi Education. Please indicate the source when reprinting!