ED-IPC3020: A Raspberry Pi 5-Powered Industrial Computing Solution

EDATEC, a specialist in embedded and industrial electronics, has introduced a groundbreaking product in industrial computing—the ED-IPC3020. This industrial computer is powered by the Raspberry Pi 5 and stands out as the first of its kind to support M.2 NVMe storage, a significant leap forward in the industry.

The Raspberry Pi 5 that drives the ED-IPC3020 boasts a powerful quad-core 2.4GHz Arm Cortex-A76 processor, providing robust computing capabilities to effortlessly handle complex tasks. Housed in a sturdy fanless chassis, the ED-IPC3020 is a compact and reliable solution ideal for industrial computing needs.

ED-IPC3020-block-diagram
ED-IPC3020-block-diagram

A standout feature of the ED-IPC3020 is its support for M.2 NVMe solid-state storage through an adapter board. This particular feature enables high-speed and high-capacity storage—an essential requirement in industrial settings where large volumes of data are frequently processed and stored.

The ED-IPC3020, an industrial computing solution powered by the Raspberry Pi 5, introduces noteworthy features catering to technical requirements. Beyond its substantial storage capabilities, the device offers a diverse selection of ports, encompassing Ethernet, USB 3.0, USB 2.0, RS485, RS232 serial ports, and stereo analog audio in and out. This broad connectivity range enhances its utility in various industrial computing scenarios.

Display functionality is a standout feature, with dual 4Kp60 HDMI display output providing high-quality visuals. The inclusion of a built-in RTC further augments its functional capabilities. On the software side, the ED-IPC3020 accommodates multiple operating systems, including the Raspberry Pi OS, affording users a tailored computing experience.

ED-IPC3020
ED-IPC3020

Wireless connectivity is a notable technical aspect, with support for dual-band 802.11ac Wi-Fi and Bluetooth 5.0, facilitating seamless integration with wireless networks and devices. Designed to operate within a wide temperature range (-25°C to 60°C), the device proves suitable for deployment in environments with extreme conditions. Regulatory certifications from the FCC and CE underscore its adherence to quality and safety standards.

Offered with a choice of 4GB or 8GB of RAM, the ED-IPC3020 presents an economically priced starting point of $165, positioning itself as a cost-effective solution for industrial computing. EDATEC’s ED-IPC3020 emerges as a technically robust choice, integrating a potent Raspberry Pi 5 processor, M.2 NVMe storage support, an array of ports, versatile software options, and resilient build quality. Its wireless capabilities, regulatory adherence, and RAM customization contribute to its technical prominence in the industrial computing landscape. For comprehensive specifications, refer to the official EDATEC website.

The ED-IPC3020 with 4GB RAM and a 32GB MicroSD card costs $165.00 while the 8GB RAM version is listed for $207.00 on the EDATEC’s AliExpress page.

Seeed Studio’s New Wio Tracker Now Supports Amazon Sidewalk

The Seed Studio's Wio Tracker 1110 Dev Kit now comes with Amazon Sidewalk IoT support for efficient tracking solutions, priced at $30.90.

Seed Studio has upgraded its Wio Tracker with support for Amazon’s Sidewalk IoT Network. Based on the established Wio Tracker 1110 model it’s now offering Amazon Sidewalk (LPWAN) IoT connectivity in the US.

Amazon Sidewalk is a secure community network that connects IoT devices via Amazon Sidewalk Gateways, like certain Echo and Ring devices, using long-range, low-bandwidth connectivity. Covering over 90% of the U.S., it combines Bluetooth Low Energy(BLE) and radio protocols like LoRa for efficient, wide-range communication without relying on cellular data or Wi-Fi.

Kezang Loday, from Seed Studio, recently shared insights that caught my attention:

At Seeed Studio, we’re always on a mission to make cutting-edge technologies easier and more accessible. That’s why we’re excited to introduce this LPWAN Asset Tracker Dev Kit for Amazon Sidewalk based on our Wio Tracker 1110, designed to simplify how you build indoor and outdoor tracking solutions on the emerging Amazon Sidewalk network.

The WM1110 LPWAN Asset Tracker Dev Kit offers geolocation with GNSS, Wi-Fi Sniffer, and Bluetooth Scanning for versatile indoor/outdoor tracking. It includes a temperature/humidity sensor (SHT41), and 3-axis accelerometer (LIS3DHTR), and supports ADC/UART and IIC protocols, compatible with 300+ Grove modules.

Learn to build an asset tracker with Amazon Sidewalk and AWS IoT Core using the LPWAN Asset Tracker Dev kit. At AWS re: Invent 2023, over 200 developers attended the IOT303 Asset Tracking Workshop, creating solutions with the kit, Amazon Sidewalk, AWS IoT Core, and Amazon Location Service.

The development board, based on Seeed Studio’s Wio Tracker 1100, features a Semtech LR1110 transceiver and a Nordic Semiconductor nRF52840 system-on-chip. It supports Bluetooth Low Energy (BLE) and LoRa/FSK for Amazon Sidewalk network connectivity.

Specifications and Features of the Wio Tracker 1110 Dev Board:

  • LoRa and Positioning (Semtech LR1110):
    • Frequency Plan: 863~928MHz
    • Sensitivity: -125dBm @125K/SF7, -141dBm @125K/SF12
    • Output Power: 20dBm max @LoRa®
    • Positioning Technology: GNSS (GPS/BeiDou), WiFi Sniffer
    • Range: 2~10km (depends on antenna and environment)
  • Bluetooth (Nordic nRF52840):
    • Bluetooth Version: Bluetooth 5.3
    • Flash Memory: 1MB
    • RAM: 256KB
    • Protocol: Bluetooth LE, Bluetooth mesh, Thread, Zigbee, 802.15.4, ANT, 2.4 GHz proprietary stacks
    • Output Power: 6dBm max @Bluetooth
  • Onboard Sensors:
    • TH Sensor (SHT41):
      • Temperature Range: -40~125°C (Accuracy ± 0.2°C)
      • Humidity Range: 0~100%RH (Accuracy ±1.8%RH)
    • 3-Axis Accelerometer (LIS3DHTR):
      • Range: ±2g, 4g, 8g, 16g
      • Bandwidth: 0.5Hz ~ 625Hz
      • Sensitivity (LSB/g): 1000 (±2g) ~ 83 (±16g)
  • General:
    • Voltage Supply: 5V (USB 2.0 Type-C)
    • Battery Connector: 4.5V
    • Interface:
      • RFIO
      • GNSS Antenna Connector x 1
      • LoRa Antenna Connector x 1
      • USB Type-C x 1
      • Grove Interface: ADC x 1, I2C x 1, UART x 1, Digital x 3
    • Buttons: USER (configurable), RESET
    • External FLASH Memory: 2M

The Wio Tracker 1110 Dev Kit includes the Dev Board itself, a 3.7V-1000mAh Lithium-ion Battery, 3M thick bubble cotton double-sided adhesive, and is packaged in a plastic box.

The development board is available for $30.90 on Seeed Studio’s web store. As of now, Amazon’s Sidewalk network is limited to the US.

EasyNixie Is A Nixie Tube Driver Module for Arduino

Eas Nixy, a $19.00 Arduino-based Nixy tube driver, aims to alleviate the traditional challenges associated with working with Nixy tubes. Designed and engineered by Aleksei Karavaev, this device, adorably named EasyNixie, is touted by him as 'a simpler and safer way to drive Nixies'.

EasNixy, a $19.00 Arduino-based Nixy tube driver, aims to resolve the challenges associated with working with Nixy tubes. Designed and engineered by Aleksei Karavaev, this device, adorably named EasyNixie, is touted by him as ‘a simpler and safer way to drive Nixies’.

In a recent Hackaday article Karavaev comments:

I have been fascinated by nixie tubes ever since I discovered what they are. So strange, so old school, so ‘warm’. Unfortunately, they are also hard to control and can be dangerous if not handled properly.

He continues [Five years ago when I began exploring electronics, I attempted to build a project with a PIC16 MCU. Unfortunately, it resulted in a classic case of spaghetti code, and I failed]

So after five years, he revisited the project and as a result, we got ourselves the EasyNixie project. In the same Hackday post, Karavaev discusses three main challenges in driving Nixie tubes:

  • A need for high, non-standard 180VDC voltages, which are much higher than what standard electronic components usually require.
  • Numerous control pins are needed because each digit in a Nixie tube has its cathode.
  • Unique pin positions that require special sockets, due to the non-standard design of Nixie tubes.

The Easy Nixy project solves this problem through a unique design called a smart socket which makes this board compatible with various Nixy Tubes, The board takes a 3.3V input and converts it into 180V with a constant current that is required to drive a Nixy Tube.

Karavaev’s design includes dual 74hc595 shift registers in the EasyNixie modules to streamline wiring, allowing control of the Nixie tube’s cathodes with just three pins. Additionally, a daisy-chain configuration enables the connection of multiple modules.

Feature of EasyNixie – Nixie Tube Driver

  • Core Features:
    • Arduino Compatibility
    • Low-Voltage Operation (3.3V)
    • High-Voltage Step-Up (200V)
    • Dual 74hc595 Shift Registers
  • Usability and Compatibility:
    • Stackable Design for Multiple Displays
    • Arduino Library for Easy Interface
    • Compatible with Various Nixie Tubes (IN-12A/B, IN-15A/B, IN-17, etc.)
  • Design and Safety:
    • Decimal Point Support
    • Detailed Energy Consumption Data
    • Safety Features: Safety Fuse, Thermal Shutdown
  • Programming and Support:
    • EasyNixie Library on GitHub
    • YouTube Tutorial Video
    • 3D Model for Planning
  • Testing and Environmental Responsibility:
    • Extended Testing for Longevity and Safety
    • RoHS Compliant for Environmental Safety
  • Applications:
    • Suitable for Clocks, Multimeters, FM Radios, etc.

Following a successful Kickstarter campaign, Aleksei Karavaev’s EasyNixie is now available for $19 on Tindie. For additional details, refer to this Hackster or visit the Kickstarter page.

IBM Advances Quantum Computing Roadmap with Heron Chip and System Two Launch

IBM has recently revealed updates to its quantum roadmap, marking a significant milestone by introducing the 133-qubit Heron chip and the groundbreaking System Two quantum computer. Heron stands out as the inaugural member of a new series of scalable quantum processors, meticulously engineered over four years to achieve IBM’s peak performance metrics and minimal error rates. Notably, it leverages generative AI to simplify quantum code development for programmers.

The Heron processor, boasting 133 qubits and 5000 gates, paves the way for future developments. Following Heron, IBM plans to introduce four variations of the Flamingo quantum chip, each featuring 156 qubits and a progressive increase in gates from 5000 to 15000.

Looking ahead, the Starling chip, incorporating full quantum error correction, is slated for 2029, offering 200 qubits and 100 million gates. Further, into the future, the Blue Jay processor is on the horizon for 2033, projecting an impressive 1 billion gates and 2000 qubits.

In addition to these quantum processors, IBM unveiled the Quantum System Two, marking the company’s foray into modular quantum computing. Positioned as the cornerstone of IBM’s quantum-centric supercomputing architecture, the Quantum System Two, located in Yorktown Heights, New York, is now operational with three IBM Heron processors and supporting control electronics. This development reinforces IBM’s commitment to pushing the boundaries of quantum computing capabilities.

“We are firmly within the era in which quantum computers are being used as a tool to explore new frontiers of science,” said Dario Gil, IBM SVP and Director of Research. “As we continue to advance how quantum systems can scale and deliver value through modular architectures, we will further increase the quality of a utility-scale quantum technology stack – and put it into the hands of our users and partners who will push the boundaries of more complex problems.”

Earlier this year, IBM demonstrated quantum algorithms on its powerful 127-qubit ‘Quantum Eagle’ processor. Unlike classical computers, quantum computers use the principles of quantum mechanics to solve complex problems in chemistry, physics, and materials more efficiently.

Now, IBM has introduced the System Two machine, which is five times more powerful than the Quantum Eagle system. It combines a scalable cryogenic infrastructure (used to keep the quantum processor extremely cold) and classical runtime servers with modular qubit control electronics.

As part of IBM’s ten-year Quantum Development Roadmap, this new system will not only support the current quantum processor but also future generations. IBM aims to gradually improve these future processors so they can handle more complex and larger workloads, extending the capabilities of quantum computing. This roadmap outlines IBM’s plan to advance quantum computing over the next decade.

IBM is introducing new tools to make it easier for developers to write code for quantum computers. Qiskit Patterns is a set of tools that helps developers map classical problems, optimize them for quantum circuits, and execute them using Qiskit Runtime. With Qiskit Patterns and Quantum Serverless, users can create and run workflows that combine classical and quantum computing in different environments, like the cloud or on-premises.

IBM is also using generative AI, called Watsonx, to automate the development of quantum code for Qiskit. This involves fine-tuning the IBM Granite model series, making it simpler for developers to work with quantum algorithms. Overall, these tools aim to provide building blocks for users to build and run quantum algorithms easily. Readers can get more detailed information on theofficial product page.

Jasper Devreker Aims to Fully Open-Source the ESP32 Platform

Jasper Devreker, a computer science student at Ghent University, is working to make the ESP32 truly open-source by reverse-engineering a WiFi MAC layer for the ESP32.

We know the ESP series for its exceptional price-to-performance ratio, and it also includes ESP-IDF, the open-sourced framework and toolchain for ESP-based controllers. You can modify your code to some extent, but you cannot alter the code for the RF part, mainly the Wi-Fi and Bluetooth because they are distributed as binaries with the ESP-IDF.

The solution to this problem is straightforward: Reverse Engineering. By reverse engineering the wireless part you can have full control over the radio module of the ESP-32. with that in mind developers, like Devreker, are building upon the work initiated by Uri Shaked in 2021 and Martin Johnson in 2022.

Devreker explains,

We connect [the] antenna connector to a 60dB attenuator (this weakens the signal by 60dB),” Devreker continues, “then connect that to the antenna connector of the wireless dongle. That way, we’ll be able to receive only the packets coming from the ESP32, and the ESP32 will only receive packets sent by the wireless dongle.

By placing the device in a Faraday cage and using the mentioned method, they analyzed the hardware’s lifecycle during packet transmission. This led to the development of proof-of-concept firmware, enabling independent packet transmission and reception without relying on Espressif’s SDK.

That is an impressive feat, but the initialization code still depends on Espressif’s code blob. However, Devreker and his team say that when the reverse-engineering process is complete, they will be able to implement channel switching, data rate adjustment, TX power control, and an open-source WiFi initialization sequence.

In the long term, the focus will be on enhancing features such as modem power saving by turning off the modem when idle, implementing AMSDU, AMPDU, HT40, QoS, moving WPA2 cryptography from software to hardware, adding Bluetooth support, and creating SVD documentation for all reverse-engineered registers.

The complete project details are on Ghent University’s Zeus WPI website, including a post about the packet-reception breakthrough. The source code is available on GitHub under the MIT license. You can also check out Hackster or CNX-Software posts for additional information.

OpenEPaperLink Mini-AP v3 is A Zigbee-WiFi Gateway for the OpenEPaperLink Project

The OpenEPaperLink Mini-AP v3 is a multifunctional gateway for home E-Paper display systems. It supports JPG images and integrates with HomeAssistant, enhancing smart home capabilities. With the OpenEPaperLink Mini-AP v3, you can control all your ePaper tags effortlessly.

Previously we have covered many paper displays like the Inkplate 5, Inkplate 10, and Pimoroni PIM534 among others, you can check those out if interested.

This device is built around an ESP32-S3 and incorporates an ESP32-C6 as a radio interface. When it comes to communication these devices use unencrypted, Zigbee-like (IEEE 802.15.4) packets on 2.4 GHz. The integrated web interface on the ESP32-S3 ensures that the access point is fully autonomous, seamlessly coordinating with electronic shelf labels equipped with the OpenEpaperLink firmware.

According to Electronics by Nic,

If you just want to tinker with Thread or Zigbee instead, you can make this as a WiFi to Thread/Zigbee gateway, possibly use it together with Zigbee2mqtt. But no software is written for it yet if you want to use it that way. Looking forward to seeing some nice implementations!

In simpler terms the Mini-AP v3 serves as a bridge between WiFi and Thread/Zigbee networks, ideal for those who love to experiment with smart home connectivity. While specific software for this functionality is still in the works, the potential applications are boundless.

This device is compatible with various display sizes: 1.54″ (152×152 pixels), 2.9″ (296×128 pixels), and 4.2″, each offering different sizes and resolutions for different display needs.

Features of OpenEPaperLink Mini-AP v3

  • Device Core
    • ESP32-S3 for processing
    • ESP32-C6 for wireless communication
  • Software and Communication
    • Runs OpenEpaperLink software
    • Uses IEEE 802.15.4 (Zigbee-like) packets on 2.4Ghz
  • User Interface and Operation
    • The integrated web interface on ESP32-S3
    • Autonomous operation with OpenEpaperLink firmware devices
  • Display and Integration
    • Displays JPG images on E-Paper screens
    • Custom messages and data display capability
    • Integrates with HomeAssistant for smart home setups
  • Build Options
    • DIY kit for personal assembly
    • A fully assembled and tested version is available
  • Sustainability
    • Compatible with recycled electronic shelf labels

Electronics by Nic Continues [It’s important to note that the OpenEPaperLink Mini-AP v3 is a hobbyist project and should not be used in situations where failure could cause harm or distress.]

The OpenEPaperLink Mini-AP v3 kit includes a 3D-printed SLA resin case, a pre-mounted PCB with SMD components, ESP32-S3-WROOM-1 and ESP32-C6-WROOM-1 modules, a 1.47″ TFT screen, a WS2812B LED, and 5x 0603 SMD LEDs with 2 spares.

Additional information, including Source Code, Documentation, and Datasheet for the Particle Snowflake, is available in the GitHub Repo. For purchasing, the device is readily accessible on Tindie.

Pimoroni launches a new add-on for the Raspberry Pi 5- Aims to beat Raspberry Pi’s own M.2 HAT+ in both performance and availability

NVMe-Base-for-Raspberry-Pi-5

Pimoroni just launched the NVMe Base, a new add-on for the Raspberry Pi 5. It boosts storage and speed by connecting with NVMe SSDs (those in sizes 2230 to 2280). PCIe 3.0, promises faster boot times and quick access to storage. The NVMe Base is straightforward, making your Raspberry Pi 5 work better and look sleek. It’s practical for various uses, especially when you need speedy and reliable project storage.

Moreover, the NVMe Base comes with an extra power connector, handy for users needing more power for their NVMe SSDs. Yet, Pimoroni has observed that the provided flat flex cable works well for a neat and effective x1 connection, even with drives achieving speeds exceeding 800MB/s.

NVMe-Base-for-Raspberry-Pi

On Pimoroni’s product page, it’s noted that most modern PCIe 3 NVMe drives typically benchmark in the range of 600-800MB/s. They also highlight that for users following the Raspberry Pi 5‘s official PCIe 2 specifications, the speed would be roughly half of that, influenced by the SSD’s internal caching and wear-leveling capabilities.

Pimoroni-NVMe-Base
Pimoroni-NVMe-Base

A notable aspect of the Raspberry Pi 5’s release earlier this year was the introduction of a user-accessible PCI Express Gen. 2 lane, marking a first for a mainline Raspberry Pi board. However, this lane is exposed through a custom flat flexible circuit (FFC) cable connector, and the Raspberry Pi hardware team has recently shared its specifications. Pimoroni wants to reassure customers that, while there might be a few tweaks in the final design and hardware, the NVMe Base will still deliver on its promised performance. A preview image provides a glimpse of what the end product will look like.

Responding to questions on Twitter, Pimoroni clarified that there aren’t immediate plans for a dedicated case. Instead, they suggest that the NVMe Base pairs well with the Active Cooler, offering a practical solution. Addressing concerns about power, Pimoroni assured users that the included cable can handle the power needs of various drives, even those with a 3A@3V3 rating.

NVMe Base for the Raspberry Pi 5 is competitively priced at  £13.50. Although currently out of stock, customers can sign up to receive notifications about its availability. Additionally, Pineberry Pi introduced a similar expansion board for the Raspberry Pi 5 a few weeks ago. It expands upon the top variant by accommodating larger M.2 format sizes, including the 2280. This capability is crucial for applications that necessitate high-volume data storage.

Particle Snowflake Blends Technology with Holiday Cheers

This holiday season, Particle Industries Inc. unveils the Particle Snowflake, an innovative decoration that combines the holiday spirit with the latest technology. Designed to add a unique twinkle and melody to your holiday decorations, the Particle Snowflake is designed for a tech-savvy individual.

Particle describes its product as follows:

Taking the form of a snowflake, this Particle P2 WiFi module-powered PCBA twinkles its LEDs to provide a seasonal light show. Use it as a tree topper, an ornament, or a standalone decoration with the right USB-C stand.

Elaborating further, Particle adds that the center logo functions as a touch button for interactive experience changes. It also includes a speaker and microphone which makes the development process easy.

You can personalize the snowflake with different light shows and songs, or turn it into a clock. Add more lights by connecting an RGB LED strip. For more fun, set up voice commands using our simple tutorial. Find everything you need on GitHub.

Plug in the snowflake to see 36 RGB LEDs light up. Press the Particle logo to change patterns or hold it for a seasonal tune. Update your device online for more features. Connect to Wi-Fi to customize. Saying “sparkle” activates a new feature!

Key Features of Particle Snowflake:

  • Microcontroller: Realtek RTL8721DM MCU, 200 MHz ARM Cortex M33, with 2 MB user firmware and flash file system.
  • Wi-Fi: Dual-band 2.4GHz/5 GHz, IEEE 802.11b/g/n, with various security modes and low power mode.
  • Lighting: 36 RGB LEDs for colorful and dynamic light displays.
  • Audio: Built-in speaker and audio amplifier for high-quality sound.
  • Interactivity: Microphone for voice commands and RGB pixel extension connector for additional LEDs.
  • Dimensions: Compact size at 4.5″ x 5.5”.

To use this device, plug it in to activate the default color animations. If you wish to customize and add a personal touch, there is a guide available to assist you in setting up your snowflake and unlocking its full potential.

In the box, the Particle Snowflake comes with the essential components to get you started: the main Snowflake decoration, a USB-C cable for power and connectivity, and a North America Power Adapter suitable for local electrical outlets.

As for buying options, this can be purchased from the particle store for $34.95.

ASRock Industrial Unveils the NUC Ultra 100 Motherboard Series with Intel® Core™ Ultra Processors to Go Beyond

ASRock Industrial releases the NUC Ultra 100 Motherboard Series with breakthrough powered by Intel® Core™ Ultra processors (Meteor Lake-H). Presenting a 3D performance hybrid architecture that supports up to 14 cores and 20 threads, complemented by the latest integrated Intel® ARC Graphics and the pioneering Intel® NPU AI engine. The NUC Ultra 100 Motherboard Series are designed in NUC form factor, providing two DDR5-5600 MHz memory up to 96GB, triple storages, 4K quad displays, 2.5G dual LAN, one USB4/Thunderbolt™, and four USB 3.2 Gen 2. This advancement expands into enhanced creativity, efficiency, and collaboration using AI across diverse areas such as entertainment, corporate functions, smart retail, kiosks, digital signage, smart cities, embedded industries, Edge AIoT applications, and more.

The NUC Ultra 100 Motherboard Series encompass NUC-155H and NUC-125H models, powered by Intel® Core™ Ultra 7/5 processors 155H/125H (Meteor Lake-H). The Series features the upgraded dual-channel SO-DIMM DDR5 5600MHz up to 96GB memory, plus support for up to 4K quad displays with one DP 2.1 (from USB4), one DP 1.4a (from Type-C), and two HDMI 2.0b with Intel® ARC Graphics, providing immersive experience. Notable upgrades extend to the triple storages of one M.2 Key M (2242/2280), one M.2 Key M (2242) with PCIe Gen4x4 for SSD, and one SATA3.0. Moreover, rich I/O connectivity and expansion include one USB4/Thunderbolt™ 4, four USB 3.2 Gen 2 (Type-C/Type-A), 2.5G dual LAN, and one M.2 Key E (2230) with PCIe x1, USB 2.0 and CNVi for wireless. The Series also provide 12-24V DC-in jack for flexible power input, -20°C ~ 70°C wide operating temperature, plus TPM support with Intel® Platform Trust Technology (PTT) for enhanced security.

The NUC Ultra 100 Motherboard Series leverage the power of the Intel® Core™ Ultra processors (Meteor Lake-H), incorporating the pioneering 3D performance hybrid architecture with up to 14 cores and 20 threads (6P+8E+2LPE), integrating CPU, GPU, and NPU for advanced AI computing above and beyond. Featuring Intel® ARC Graphics up to 8 Xe-cores 128 EUs, and inclusion of Intel® NPU AI acceleration, the Series deliver exceptional AI Motherboard experiences, while handling longer-running AI workloads with lower power efficiency. Powered by the groundbreaking NUC Ultra 100 Motherboard at its core, users can experience unparalleled AI capabilities, fostering enhanced collaboration, productivity, and creativity in various use cases.

ASRock Industrial’s NUC Ultra 100 Motherboard Series, coupled with NUC Ultra 100 BOX/ NUCS Ultra 100 BOX Series, powered by Intel® Core™ Ultra processors (Meteor Lake), introduce next-level solutions that elevate AI capabilities into diverse areas such as entertainment, office productivity, kiosks, digital signage, business scenarios, embedded use cases, and Edge AIoT applications. The series deliver breakthrough performance, showcasing AI capabilities that propel it go infinity and beyond.

To learn more about ASRock Industrial’s NUC Ultra 100 Mini PC and Motherboard Series, please visit our Website or contact us via Product Inquiry.

Explore the Latest Sensors with WinSource’s Vast Collection of Sensors

Sensors are everywhere from your smartphone, and smartwatches to everyday applications like refrigerators, cars, and lifts, making everyday life easier. There’s probably not a day that goes by where you aren’t impacted in some way by a sensor. So in this article, we will talk all about sensors, including how they work and the various types available.

We will also talk about WIN SOURCE which works with over 3,000 manufacturers and offers more than 1 million products. They provide sensors from well-known manufacturers such as Honeywell, Bosch Sensortec, Semtech Corporation, and more. They also work with industries like aerospace, automation, medicine, and more. If you are looking for a part be sure to consider them for your next project.

Understanding Sensors

A sensor can be an electrical, electronic, or mechanical device that is designed to convert physical attributes like temperature, pressure, distance, speed, torque, and acceleration to an electrical signal. The signal produced by the sensor can be of multiple technology and the output is proportional to the inputs that can be further processed to get the desired data. Sensor can be broadly classified into two categories Analog Sensor and Digital Senser which we will look at in the next section.

Why Do We Rely on Sensors?

Sensors are very useful devices and nowadays they are an indispensable part of our daily lives, think about starting a day with a fresh cup of coffee. That’s right a sensor is responsible for taking the temperature reading of the water to make that perfect blend. This is just one example if you look for it you will find hundreds of examples alike. This way sensors help us to get feedback from our soundings and take action accordingly if needed. They are used in many ways, such as,

  • Efficient Operation: Sensors can detect changes in their sounding environment and that feedback can be used to detect and adjust to changes in their environment.
  • Monitoring: They keep an eye on processes to spot any unusual activity.
  • Control: Sensors help manage various operations in devices and systems.
  • Resource Management: They aid in using resources like energy and materials more effectively.

Different Types of Sensors

There are various types of sensors designed for different applications. They can be broadly classified into,

  • Passive Sensors: Passive sensors are those types of sensors that don’t need external power to work. They use energy from the environment like light for stable operation. Examples include mercury thermometers, light sensors, and photovoltaic cells.
  • Active Sensors: this type of sensor needs an external power source to operate. Weather stations, motion detectors, and other monitoring devices utilize them.
  • Analog Sensors: This type of sensor is used to convert environmental inputs into continuous signals, like in gas heaters.
  • Digital Sensors: This type of sensor is used to convert inputs into digital signals, consisting of binary codes (1s and 0s), they are widely used across various industries.

Specialized Sensors

There are also specialized sensors that can be used to detect different environmental factors like movement, chemicals, humidity, pressure, and temperature. the most common ones are listed below,

  • Accelerometer: An accelerometer is a device that measures acceleration or vibration or simply put can detect any acceleration of motion. The sensor is constructed with a piezoelectric material, when accelerated the mass inside the sensor squeezes the piezoelectric material which produces an electrical charge that is proportional to the force exerted upon it.
  • Motion: Motion sensors are sensors that can detect changes in movement in a limited space. So it can be used to control lights, camera triggers, security alarms, and numerous other systems.
  • Temperature: Temperature sensors are sensors that can detect the temperature of a median gas or air. they are used in a wide range of devices and appliances.
  • Humidity: Humidity sensors are sensor that can detect the relative humidity of the environment, such sensor also comes with a built-in temperature sensor because relative humidity also depends upon temperature. This type of sensor is mostly used in agricultural and manufacturing environments.
  • Optical: Optical sensors or photosensors are designed to detect waves at different points in the spectrum including infrared, UV, and visible light. they are mostly used in smartphones, Blu-ray players, and hobby robots.
  • Pressure: Pressure sensors measure the force exerted by liquids or gases. They are widely used in machines, cars, planes, heating and cooling systems, and for weather forecasting. These sensors also help control the flow of gases and liquids.
  • Proximity: Proximity sensors detect an object by measuring the distance between the sensor and the object. They commonly use technologies like ultrasonic or infrared to measure distance. These sensors are used in places like elevators, production lines, parking areas, and many other environments.
  • Touch: Touch sensors are sensors designed to sense physical contact on a surface. The sensor detects touch by sensing the capacitance change caused by the touch on the surface.

The above sensors are among the most commonly used ones in various fields. For a more detailed reference, a comprehensive list of sensor technologies, along with examples, is provided below.

Sensor CategoryProperties MeasuredSensor TechnologieExamples
Current SensorsElectrical CurrentHall Effect, ShuntACS772LCB-100U-PFF-T
ACS725LLCTR-30AU-T
L18P003D15
CSLA2CD
AccelerometersAcceleration, MotionPiezoelectric, CapacitiveADXL312WACPZ
MMA5224AKWR2
BMA120
LIS331DLETR
Capacitive Touch Sensors,
Proximity Sensor ICs
Proximity, TouchCapacitiveFDC1004DSCJ
QT110-IS
QT1081-ISG
QT60326-ASG
Color SensorsColor SpectrumPhotodiodes, CCDTCS3200D-TR
TCS34903FN
TCS37727FN
ADJD-J823
TCS3413CS
Dust SensorsParticulate MatterOptical, ElectrochemicalGP2Y1010AU0F
GP2Y1014AU0F
GP2Y1026AU0F
SPS30
Image Sensors, CameraVisual ImageryCMOS, CCDOS05A20-H73A-1C
MT9P031I12STC-DP
MT9V032C12STM-DR
OVM7695-RAEA
ASX342ATSC00XPED0-DR
rDA Transceiver ModulesInfrared Data CommunicationInfraredHSDL-1100#S07
HSDL-1100#007
HSDL-3600#007
HSDL-3208-002
HSDL-3208-021
Humidity SensorsHumidity, MoistureCapacitive, ResistiveSHT25
BDE0600G-TR
HIH-4000-003
HPP845E131R4
SHT31-DIS-B2.5KS
HTS221TR
BME280
Position Sensors -
Angle,
Linear Position Measuring
Position, AnglePotentiometric, OpticalAS5048B-HTSP
TLE5012BE1000XUMA1
MLX90365KDC-ACD-000-RE
MLX90316KGO-BCG-000-RE
MA750GQ-Z
AS5600-ASOT
Pressure SensorsPressurePiezoelectric, CapacitiveSSCMANN150PGAA3
MPX4115AS
BMP388
SDP810-500PA
1451-015A-T
Proximity SensorsProximityInfrared, Ultrasonic80.00000347
PRL08-2DN
AV70-4
TMD26203M
WSPSM208
Specialized SensorsVarious (Specialized)VariousSI1175K1-B2-GM
SI1172E2-B3-GM
BME688
TSL1401CS-LF
Shock SensorsShock, ImpactPiezoelectric, CapacitivePKGS-00LDP1-R
PKGS-00GXP1-R
EFJ-G25EF01
Temperature SensorTemperatureThermocouple, Thermistor67F040
67F100
67F110
Tilt SensorsTilt, InclinationMEMS, CapacitiveRohm Semiconductor
Flow SensorsFluid FlowThermal, UltrasonicSM2000
D6F-P0010A1
AWM92100V
AWM5104VN
Gas SensorsGas ConcentrationElectrochemical, InfraredSCD40-D-R1
SCD40-D-R2
SGP40-D-R4
SGP30-2.5K
Motion SensorsMotion, PresenceInfrared, UltrasonicMMA5106NPIKGWR2
KX124-1051
ICM-20648
LSM9DS1TR
PYD1598/7655
Magnetic SensorsMagnetic FieldsHall Effect, MagnetoresistiveAH49FZ3-G1
59170-1-T-00-D
MK21P-1A66B-500W
SR16C-N
TLV49462KFTSA1
AH3366Q-P-A
Force SensorsForce, PressureStrain Gauge, PiezoelectricFSG15N1A
FSS1500NGT
FSS1500NSB
Motion Sensors - VibrationVibration, AccelerationPiezoelectric, MEMSADIS16228CMLZ
4081
D7E-1

The above are only some of the various types of sensors that are being used across various environments and within devices. However, none of these categories are strictly black and white; for example, a level sensor that tracks a material’s level might also be considered an optic or pressure sensor. There are also other types of sensors, such as those that can detect load, strain, color, sound, and a variety of other conditions. Sensors have become so common now that we often don’t even notice when we’re using them.

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