Optimizing Artificial Intelligence for MCUs

Artificial intelligence has fundamentally transformed numerous industries, thanks to its ability to analyze vast amounts of data, extract complex models, and make autonomous decisions. Despite the many advantages of AI, most applications to date have been implemented on high-performance computing platforms, such as cloud servers or computers equipped with powerful GPUs. With the growing demand … Read more

ArduTFLite: An Arduino-Style TensorFlow Lite Micro Library

ArduTFLite: An Arduino-Style TensorFlow Lite Micro Library

ArduTFLite——Arduino-style TensorFlow Lite Micro library ArduTFLite library simplifies the use of TensorFlow Lite Micro on Arduino boards, providing a typical Arduino-style API. It avoids the use of pointers or other C++ syntax structures that are discouraged in Arduino sketches. ArduTFLite serves as a wrapper for the Chirale_TensorFlowLite library, which is a port of the official … Read more

Java Edge AI Inference: Deploying TensorFlow Lite on Raspberry Pi

Java Edge AI Inference: Deploying TensorFlow Lite on Raspberry Pi

Click the blue text to follow us Java Edge AI Inference: Deploying TensorFlow Lite on Raspberry Pi To be honest, when I first encountered edge AI, I completely went in the wrong direction. I thought that simply shrinking the model would allow it to run, but I ended up hitting a lot of pitfalls. At … Read more

TinyML-ESP32: Gesture Recognition, Voice Wake-Up, Jump Rope Counting

TinyML-ESP32: Gesture Recognition, Voice Wake-Up, Jump Rope Counting

When the ESP32 Development Board Meets TinyML In the intersection of the Internet of Things and artificial intelligence, the TinyML-ESP32 project has emerged as a dark horse! Supported by the Black Walnut Laboratory, this open-source project maximizes the performance of the ESP32-WROOM-32 development board, integrating hardware such as gyroscopes, microphones, and LED light groups to … Read more

Revolutionizing Motor Fault Detection with TinyML and Machine Learning

Revolutionizing Motor Fault Detection with TinyML and Machine Learning

TinyML is quietly changing the landscape of industrial detection, and today we will introduce a project—tinyml-example-anomaly-detection—that not only demonstrates how to use Python to train two distinctly different machine learning models for detecting motor anomalies but also reveals the entire process from data collection to model deployment. This article will give you a comprehensive understanding … Read more

CVPR 2024 Tutorial: Practical Methods for Developing and Deploying Optimized Edge AI Models

CVPR 2024 Tutorial: Practical Methods for Developing and Deploying Optimized Edge AI Models

Source: ZHUAN ZHI This article is approximately 1200 words long and is recommended for a 5-minute read. The tutorial on "Edge Artificial Intelligence" from the IT University of Copenhagen is worth noting! From June 17 to 21, 2024, one of the top events in the field of computer vision, the International Conference on Computer Vision … Read more

Rockchip AI Flagship Chips RK3399Pro and RK1808 Application Scenarios

Rockchip AI Flagship Chips RK3399Pro and RK1808 Application Scenarios

Rockchip has been deeply engaged in the AI market since 2019, with its flagship AI chips RK3399Pro and RK1808 widely applied in smart homes, intelligent security, vision, gesture recognition, and smart voice fields. In the global AI chip ranking released by market research company Compass Intelligence in 2018, Rockchip ranked in the Top 20 as … Read more

Exploring the Relationship Between AI, Robotics, and Programming

Exploring the Relationship Between AI, Robotics, and Programming

In today’s rapidly advancing technological era, artificial intelligence (AI), robotics, and programming have become indispensable elements of our lives. What is the relationship between them? Let us unveil this layer of mystery. 1. AI and Programming 1. Programming is the means to achieve artificial intelligence. The development of AI relies on a large number of … Read more

Create Your Own Smart Baby Monitor with Raspberry Pi

Create Your Own Smart Baby Monitor with Raspberry Pi

Original from Big Data Digest Produced by Big Data Digest Source: Medium Translated by: Chen Zhiyan As a new dad and programmer, the question I ponder most in my new role is “Can the task of caring for a baby really be automated?“ Of course, it might be possible, even if there is a diaper-changing … Read more

Dual-Camera Stereo Vision Obstacle Avoidance System SOC Design Based on ARM-M3

Dual-Camera Stereo Vision Obstacle Avoidance System SOC Design Based on ARM-M3

The new year’s innovation competition is in full swing~ To help everyone better understand this event, the editor has organized excellent works from 2021 for learning and sharing. Every Monday, we will share award-winning works, so remember to check out the series! ~ Team Introduction Participating Unit: Shanghai University of Electric Power Team Name: Haixing … Read more