hardware

VECOW LAUNCHES VAC 1000 ARM BASED EDGE AI COMPUTING SYSTEM

VECOW LAUNCHES VAC-1000 ARM-BASED EDGE AI COMPUTING SYSTEM

Featuring Foxconn Cortex-A53 MPU, running Hailo-8™/Lightspeeur® AI accelerator, with support for mainstream deep learning framework, Vecow VAC-1000 Edge AI Computing System provides greater flexibility in device architecture, making it an ideal solution for Public Surveillance, Factory Automation, Traffic Vision, and any AIoT/Industry 4.0 applications.  Vecow Co., Ltd., a team of global embedded experts, announced the […]

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The final project

Audio Spectrum Analyzer

We developed an audio spectrum analyzer as our final project for ECE 4760. This analyzer presented a histogram-style representation of audio signals. We successfully achieved real-time display of the audio signal’s frequency spectrum using a monochromatic histogram layout, where bins extended from left to right, representing low to high frequency ranges. Our system was built

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VARISCITE AND BASLER EXPAND COLLABORATION FOR EMBEDDED VISION SOLUTIONS WITH NXP® I.MX 8M PLUS TECHNOLOGY

VARISCITE AND BASLER EXPAND COLLABORATION FOR EMBEDDED VISION SOLUTIONS WITH NXP® I.MX 8M PLUS TECHNOLOGY

Variscite, a leading System on Module manufacturer, and Basler, an expert in embedded vision, are stepping up their collaboration for solutions based on the NXP i.MX 8 application processor series. Basler and Variscite continue to expand their cooperation, which started in 2018. Both companies offer a complete solution based on NXP i.MX 8 series for the embedded market with

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Connect to free digital output pins

Mastering the Art of Proportional-Derivative Control with Pulse-Width Modulation

Project Goals Upon completion of this project, you will have gained the ability to: 1. Regulate the velocity and direction of DC motors using an H-bridge circuit. 2. Execute and fine-tune a proportional-derivative control algorithm to sustain the desired orientation of the hovercraft. 3. Implement an upper-level control algorithm that determines the appropriate instances for

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PIC18F Q84 FAMILY OF MICROCONTROLLERS

PIC18F-Q84 FAMILY OF MICROCONTROLLERS

Microchip’s PIC18-Q84 8-bit PIC® MCUs with an extensive array of CIPs and CAN FD The PIC18-Q84 family of microcontrollers (MCUs) from Microchip Technology expands the 8-bit PIC MCUs by combining an extensive array of CIPs with controller area network flexible data rate (CAN FD). These MCUs contain time-saving CIPs in up to 48-pins with up to 128

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MXIOT YOUR LOW COST HARDWARE PROTOTYPING PLATFORM

MXIOT, YOUR LOW-COST HARDWARE PROTOTYPING PLATFORM

Jaydcarlson has posted on GitHub details about mxiot, which is a low-cost hardware prototyping platform, which enables you to explore switching small IoT projects from bare-metal to a secure-boot-capable WiFi/BT-connected Embedded Linux system capable of running rudimentary C/C++, and also applications written in almost any modern language or application framework (like Qt, Rust, Ruby, Python, Node.js, or .NET Core).

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External Input and Output Signals

Microcontroller Implementation of a Small Robot Arm Controller

Our senior project aims to design and develop assembly language for a small robot arm assembly controller, utilizing an enhanced 8051 microcontroller (80535). In addition to the controller’s software, we will design and construct the microcontroller interface circuitry. Our investigation will focus on incorporating safety features, such as motor current limit protection and motor disable

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BRIDGETEK INTRODUCES NEW EVALUATION HARDWARE FOR ADVANCED EVE GRAPHIC CONTROLLERS

BRIDGETEK INTRODUCES NEW EVALUATION HARDWARE FOR ADVANCED EVE GRAPHIC CONTROLLERS

  To assist with the initial development and prototyping of human-machine interfaces (HMIs) based on its object-oriented graphic controller ICs, Bridgetek has announced the availability of the ME817EV evaluation board. Featuring the company’s BT817 embedded video engine (EVE) device, it allows engineers to experiment with the latest generation of EVE technology and get a comprehensive understanding of

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REALITY AIS AUTOMOTIVE SWS FEATURES SOUND BASED DETECTION

REALITY AI’S AUTOMOTIVE SWS FEATURES SOUND-BASED DETECTION

Detection through cameras and lidar could be efficient but it has some drawbacks. As it requires visibility of the object within its range, thus detection is difficult for invisible and hidden objects. Radar could be an ideal choice for overcoming these drawbacks but it struggles with distant objects as it is incapable of the corners and long-range

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