Welcome to follow the public account belowAbao1990, this public account focuses on autonomous driving and intelligent cockpits, providing you with a piece of automotive knowledge every day. We start with cars, but we are not limited to cars. The commonly used hollow cup motors, frameless torque motors, and servo motors in humanoid robots are key … Read more
Introduction: With the widespread adoption of AI technology, enterprises face a critical question: Where should AI processing take place—on edge devices or in the cloud? This article will delve into the main differences between Edge AI and Cloud AI, their respective advantages, and how enterprises can make choices in different scenarios, even combining both for … Read more
Real-Time Efficient Dense Optical Flow Accelerator Based on FPGA Yutai Feng, Wenyang Xu, Fan Chen, Jiaxing Wang, Yongming Tang, Hao Sun (Southeast University, School of Electronic Science and Engineering) Abstract: The optical flow method constructs a dense motion field representation by analyzing pixel displacement between frames, enabling the quantification of the motion direction and speed … Read more
As AI computing power continues to decentralize, intelligent devices at the edge are experiencing explosive growth. From industrial inspection and AR glasses to portable medical devices, an increasing number of application scenarios demand real-time, low-power, and compact AI inference capabilities. In response to this trend, Field Programmable Gate Arrays (FPGAs) are becoming an important computing … Read more
Comparing DSPs to “mathematical prodigies”: while ordinary CPUs (like MCUs) excel at multitasking (the “liberal arts students”), DSPs specialize in quickly solving complex equations (the “science students”), achieving “mental calculation abilities” through hardware acceleration (such as MAC units), making them suitable for the “high-intensity mathematics competitions” of real-time signal processing. 1. Core Functions and Architectural … Read more
From Cloud to Edge The Distributed Future of AI As AI technology flourishes, edge computing is gradually becoming a significant force driving AI to new heights. With the explosive growth of IoT devices and the increasing demand for real-time data processing, traditional cloud-based centralized AI processing models face numerous challenges such as bandwidth limitations and … Read more
Introduction As medical technology continues to evolve, endoscopic examination has become an indispensable method in the diagnosis and treatment of various diseases. From screening gastrointestinal diseases to observing pulmonary lesions and diagnosing urinary system disorders, endoscopes can penetrate deep into the human body, providing doctors with intuitive internal tissue images, significantly enhancing diagnostic accuracy and … Read more
Author: e络盟 Technical Team The integration of AI and IoT systems is transforming the way data is processed, analyzed, and utilized. For many years, various AI solutions have been based on cloud deployment, but the rise of edge AI now offers promising solutions for enhancing operational efficiency, improving security, and increasing operational reliability. This article … Read more
Click the “blue text” above to follow for more exciting content. This article has a total of 982 words, reading it will take about 2 minutes. The industrial sector is the second largest application area for FPGAs after communications, accounting for 17% of the global application scope; in the domestic market, it may exceed 30%. … Read more
Xinzhe Xin from the Communication Research Group at Beijing Institute of Technology successfully ported the deep learning gait recognition algorithm GaitSet to the Allwinner V853 development board as part of his undergraduate thesis titled “Research on Gait Recognition Based on Embedded Systems.” This study was tested on the CASIA-B dataset, achieving a gait recognition accuracy … Read more