Embedded AI

Embedded AI Series – A Simple Header File to Quickly Enable HTTP Capabilities for Rockchip RV1126_RV1109 AI Applications

by
Embedded AI Series - A Simple Header File to Quickly Enable HTTP Capabilities for Rockchip RV1126_RV1109 AI Applications

1. Introduction In embedded AI application development, we often need to add HTTP network interfaces to devices for remote control, data upload, or information queries. Traditional methods often require introducing complex dependency libraries, which can be cumbersome. In practical development, I prefer using a single header file solution, such as cpp-httplib, which is a single-header … Read more

Embedded AI Rising: How CAN Bus Reshapes Its Role

by
Embedded AI Rising: How CAN Bus Reshapes Its Role

Have you noticed that AI is descending from the “cloud” and integrating into various devices around us? This is “Embedded AI,” which enables terminal devices to possess perception and decision-making capabilities. However, a key question arises: how can these dispersed “small intelligences” be reliably connected and work together?The answer may lie in the well-tested communication … Read more

Accelerating the Launch of Physical AI: STMicroelectronics Expands MCU Model Library to Maximize Development Efficiency

by
Accelerating the Launch of Physical AI: STMicroelectronics Expands MCU Model Library to Maximize Development Efficiency

☝ Click on the top “STMicroelectronics China” to follow us The mainstream MCU model library in the market has been expanded to accelerate embedded AI development Over 140 models to speed up the deployment of visual, audio, and perceptual AI applications on edge devices applications Recently, STMicroelectronics (ST) released new AI models and enhanced support … Read more

Practical Implementation of Embedded AI: Using NPU for Inference Acceleration in Linux

by
Practical Implementation of Embedded AI: Using NPU for Inference Acceleration in Linux

In the article “Practical Implementation of Embedded AI: Let Ethos-U NPU Run Your Model,” we attempted to load models and invoke the NPU for hardware acceleration of inference using the M33 core of the i.MX 93 MPU. This MPU also has two A55 cores, and this article utilizes the A55 running Linux to achieve similar … Read more

Overview of Embedded AI Capabilities in SAP Business AI

by

SAP Business AI Embedded AI Capabilities: What Are They? The embedded AI capabilities in SAP are a set of AI functionalities developed by SAP, pre-integrated into SAP applications and processes. These capabilities are a core component of the SAP Business AI strategy, providing out-of-the-box AI functionalities for existing SAP solutions. Why Did SAP Develop Embedded … Read more

ARC View: Embedded AI in Sensors

by

Overview In today’s industrial sector, from employee cafeterias to boardroom meeting rooms, new technologies such as generative artificial intelligence, large language models (LLM), agents, agent AI, and edge AI are widely discussed, heavily promoted, and even raise concerns.Embedded AI, as another form of industrial AI, is gradually gaining attention in the field of industrial automation, … Read more

Embedded AI Learning Path

by

Freshman Year: Introduction to Arduino (3-6 months) 1. Learning Content • Basic Electronics: Use of resistors/capacitors/sensors • Basics of C Language: Variables, loops, functions • Arduino IDE Development: GPIO control, PWM output • Communication Protocols: UART, I2C (e.g., driving OLED screens) 2. Recommended Resources • Textbook: “Arduino from Beginner to Master” • Video: Bilibili “Zhengdian … Read more

Ten Influential Papers in the Field of Embedded AI

by
Ten Influential Papers in the Field of Embedded AI

Ten Influential Papers in the Field of Embedded AI Abstract Embedded AI is experiencing explosive growth, with significant breakthroughs in key technological directions such as model compression, edge computing, neural architecture search, and low-power algorithms from 2022 to 2025. This article selects ten influential papers that have not only won best paper awards at top … Read more

Running AI on Hardware: Implementing Environmental Sound Classification with ESP32

by
Running AI on Hardware: Implementing Environmental Sound Classification with ESP32

Breaking down auditory perception into data, and letting the ESP32 recognize the sound world! This project fully builds an environmental sound classification system using the ESP32-S2-Mini-1: from microphone audio capture, to window function + RFFT for frequency spectrum transformation, followed by Mel feature extraction and lightweight CNN inference, ultimately displaying scene categories such as “rain … Read more

Embedded AI Series – Analysis of YOLOv5 Model Deployment Example Code on RK RV1126 Platform – 2 Memory Distribution of Model Outputs

by
Embedded AI Series - Analysis of YOLOv5 Model Deployment Example Code on RK RV1126 Platform - 2 Memory Distribution of Model Outputs

★ Embedded AI Series – Analysis of YOLOv5 Model Deployment Example Code on RK RV1126 Platform – 2 Memory Distribution of Model Outputs ” 1. Introduction The remaining important part of the source code in rknn_yolov5_demo is the post-processing. The post-processing of the official YOLOv5 model is included within the model, so no post-processing is … Read more