With the evolution of artificial intelligence (AI), executing AI workloads on embedded devices using small language models (SLM) has become a focal point in the industry. Small language models such as Llama, Gemma, and Phi3 have gained widespread recognition for their excellent cost-effectiveness, high efficiency, and ease of deployment on resource-constrained devices. Arm expects the … Read more
Click the “blue text” above to follow us! 2025.07.16 Word count: 8484 Estimated reading time: 22 minutes Abstract Implementing artificial intelligence with microcontrollers has become a hot topic and challenge in embedded product development in recent years. This article discusses the methods, technologies, and tools for deploying deep network models on MCUs, analyzes the process … Read more
“ Nvidia launched a development board priced at only $99 at this year’s GTC – the Jetson Nano. This article will introduce how to get started with it, including the first boot, installing system packages, configuring the Python development environment, installing Keras and TensorFlow, modifying the default camera, and running classification and object detection tasks. … Read more
Click the card below to follow “Computer Vision Home“ Visual/Image processing insights delivered promptly! In this article, we will explore how to set up a pose detection AI system using the Raspberry Pi 4 and Coral USB Accelerator.Pose detection AI is an engaging application that allows computers to recognize and analyze human poses in real-time, … Read more
Author of this article: Reprinted from: https://medium.com/swlh/nvidia-jetson-nano-custom-object-detection-from-scratch-using-tensorflow-and-opencv-113fe4dba134 The purpose of this blog is to guide users in creating a custom object detection model optimized for performance to be used on the NVidia Jetson Nano. Table of Contents: Required Materials Creating a Custom Dataset Preprocessing Labeling Creating TFRecords CNN Training Model Installing Raspberry Pi Camera on … Read more
Artificial intelligence has fundamentally transformed various fields from software development to content creation. However, faced with a plethora of AI tools on the market, developers often find themselves in a dilemma: either pay for a subscription to commercial platforms or waste time on inefficient tools. In fact, the open-source community has long nurtured a batch … Read more
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——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
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
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