Real-Time Processing

Real-Time Efficient Dense Optical Flow Accelerator Based on FPGA: Empowering Intelligent Perception and Navigation

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Real-Time Efficient Dense Optical Flow Accelerator Based on FPGA: Empowering Intelligent Perception and Navigation

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

FPGA: A Key Player in the Edge AI Market Beyond GPUs

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FPGA: A Key Player in the Edge AI Market Beyond GPUs

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

In-Depth Analysis of DSP Chips

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In-Depth Analysis of DSP Chips

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

Edge AI: Making Intelligence Ubiquitous

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Edge AI: Making Intelligence Ubiquitous

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

Enclustra Focuses on FPGA-Based Endoscope Vision Solutions: Real-Time 4K Imaging – A Breakthrough in Vision

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Enclustra Focuses on FPGA-Based Endoscope Vision Solutions: Real-Time 4K Imaging - A Breakthrough in Vision

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

Edge AI: A New Benchmark for IoT Implementation

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Edge AI: A New Benchmark for IoT Implementation

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

Industry Research: Universal Chip FPGA – (Part 20) FPGA Downstream Applications in the Industrial Sector

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Industry Research: Universal Chip FPGA - (Part 20) FPGA Downstream Applications in the Industrial Sector

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

Successful Deployment of Deep Learning Gait Recognition Algorithm on Allwinner V853 Platform

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Successful Deployment of Deep Learning Gait Recognition Algorithm on Allwinner V853 Platform

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

The Innovation of Edge AI is Having a Profound Impact on the Software and Hardware Development Ecosystem

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The Innovation of Edge AI is Having a Profound Impact on the Software and Hardware Development Ecosystem

Article Overview This article introduces how edge AI technology is fundamentally transforming real-time data processing and automation. The article emphasizes the value of edge AI in real-time processing of critical applications, discusses methods for generating edge AI models, including the use of integrated development environments and SaaS platforms, and the application of supervised training in … Read more

Empowering the Internet of Vehicles | Smart Subway IoT System for Smoother Travel

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Empowering the Internet of Vehicles | Smart Subway IoT System for Smoother Travel

Industry Background With the continuous expansion of urban rail transit networks and the ongoing improvement of intelligence levels, subway IoT monitoring systems need to monitor and manage tens of thousands of key IoT devices in real-time, including environmental control systems, fire alarms, access control, and elevator operations. The massive time-series data generated by these devices … Read more