Android APP Contact Us
login / register Upload
TRENDING:

MediaTek Genio 700 is a Powerful Edge AI Processor for Demanding Smart IoT Applications

Posted on by Saumitra Jagdale

There is a growing demand for artificial intelligence (AI) in the current market, as organizations and industries are increasingly seeking to leverage the power of machine learning and data analysis to improve their operations and solve complex problems. MediaTek Genio 700 provides a high-performance edge-AI IoT platform for smart homes and interactive retail, industrial and commercial applications.

Technical Specifications

  • The MediaTek Genio 700 uses two Cortex-ARM A78 cores and six Cortex-ARM A55 cores, which run at 2.2GHz and 2.0 GHz, respectively, while providing 4.0 TOPs AI accelerator.
  • The memory used is the 4-channel LPDDR4X which has the capacity to process up to 3733Mpbs and is upgradable up to 8Gb.
  • The chipset also features an ARM Mali-G57 which is an integrated mid-range graphics card for ARM-based SoCs. The GPU supports all modern graphics APIs like OpenGL ES 3.2, Vulkan 1.1, OpenCL 2.0 and Renderscript.
  • The MediaTek Genio 700 offers a high-speed interface that uses PCIe2 2.0, USB 3.2 Gen1, 2xUSB 2.0, and MIPI-CSI interface for camera modules. The chipset features dual display support of full HD+4K resolution with AV1, VP9, H.265, and H.264 codec support.

The Cortex A78 cores enable faster, low latency, high bandwidth 5G networks and also allows mobile machine learning. The Cortex-A55 is based on ARMv8-A architecture. It is ARM’s DynamicIQ technology, which allows for more flexible and efficient use of resources within a system-on-chip (SoC). Tensilica HiFi5 is the digital signal processor (DSP) used in the chipset, which brings in high neural network performance and soaring codec performance. HiFi 5 is four times faster than its predecessor, HiFi 4.

Connectivity Features and Software Support of MediaTek Genio 700

MediaTek offers developers and manufacturers the latest Wi-Fi 6 and Bluetooth 5.2 protocols. It features a 6GHz 5G connection for industrial, consumer, and enterprise applications. The Genio 700 SDK allows users to customize products using Yocto Linux, Ubuntu, and Android. With this support, customers can quickly develop their products with a minimal amount of effort, regardless of application type.

MediaTek Genio 700 is a low-power that can be used in applications, including Internet of Things (IoT) devices, wearable devices, and smart home appliances. Some possible applications of the Genio 700 include smart thermostats, security cameras, smart door locks, fitness trackers, and smart speakers.

The Genio 700 will be commercially available starting in Q2 2023. To learn more about the MediaTek Genio platform and the Genio 700, please visit the product page.

Syntiant Launches its Latest Neural Decision Processor NDP115 at the CES 2023 Event

Posted on by Saumitra Jagdale

Syntiant Corp. unveiled NDP115 which is the newest addition to its neural decision processor family. NDP115 is a compact yet powerful processor with highly accurate real-time decision-making and sensor AI capabilities. The processor targets applications like self-driving cars, smart home devices, and wearable electronics. NDP115 is based on the company’s Syntiant Core 2 that can run multiple neural network loads at under 1mW power consumption.

Technical Specifications

  • The Syntiant Core 2 enables multi-mode functionality in a tiny, cost and power- efficient form factor. It includes many processing elements, such as artificial neurons, that are used to process input data and make decisions.
  • In addition to the Core 2 neural processor, the NDP115 includes an embedded Arm Cortex-M0 microcontroller. ARM Cortex M0 is a 32-bit microcontroller and is based on the ARMv6-M architecture.
  • The NDP115 includes an embedded user-programmable HiFi-3 DSP with 144KB 64-bit data RAM and 64KB instruction RAM. This processor can handle up to 13 GPIO pins.
  • The NDP115 also includes support for I2C and PDM interfaces, which can be utilized for various purposes such as sensor fusion, multi-axis acceleration measurement, tilt detection, magnetic field sensing, and pressure sensing.

Artificial neurons are mathematical models that are designed to simulate the behavior of biological neurons. They are the basic building blocks of artificial neural networks (ANNs). ANNs are a subset of machine learning (ML) models. Various ML applications, such as image recognition, natural language processing, and prediction, widely use artificial neurons. The Cortex-M0 supports a wide range of on-chip peripherals, including timers, serial interfaces, and ADCs, making it suitable for a wide range of applications. Programmers can use C or assembly language to program the microcontroller. A wide range of development tools and software libraries support the microcontroller. The Cortex-M0 also supports low-power modes, making it well-suited for battery-powered applications.

The NDP115 is based on the same architecture as the NDP120. The below diagram is a representation of NDP120’s architecture.

Applications of the NDP115

The company is promoting the NDP115 as a well-suited microcontroller for running deep neural networks (DNNs) on devices. This means that it has the capability to process DNNs locally, without the need to send data to the cloud for processing. The use of microcontrollers is particularly well-suited for “hearables” (i.e. wireless earbuds), wearables, smart home devices, and industrial internet of things (IIoT) devices.

The NDP115 retails at $3.25 per chip in 10,00 unit tray quantities. For more information, you can visit the product site.

ePulse Feather – Low Power ESP32 development board

Posted on by mixos

Low power ESP32 development board. The ePulse from ThingPulse is the perfect companion for your battery-powered IoT projects.

Optimized for Low Power Consumption

ePulse Feather, the low power ESP32 development board, is optimized for applications where a low sleep current and LiPo battery support is required. The VIN pin accepts voltages between 3V3 and 6V. When the ePulse board is in deep sleep it only consumes between 12uA (above 3.3V) and 27uA (below 3.3V). Most ESP32 and ESP8266 board consume around 100 – 130uA.

This low sleep consumption is perfect for applications where the device sleeps most of the time and only wakes up from time to time to complete a task. For instance, a WiFi remote control for home automation can sleep until the user presses one of the buttons. The device wakes up, connects to WiFi, sends the command over MQTT and goes back to sleep until the next time a button is pressed.

Features

  • 12-27uA in deep sleep
  • VIN: 3.3 – 6V
  • ESP32-WROVER-E
  • 8MB PSRAM
  • 8MB Flash
  • Access to 20 GPIO pins
  • LiPo charging circuit
  • Follows Adafruit Feather form factor specification
  • Includes male header pins (1×12 and 1×16)

Easy Programming

The onboard UART CH9102F by WCH lets you easily program the ESP32 from your Windows, Mac or Linux computer. In our tests, we could use the highest transmission rates of 921600 bauds to re-program the chip within seconds. Regular ESP32 upload programs can automatically set the module into flashing mode.

Powerful ESP32 Module

This board takes advantage of the ESP32-WROVER-E module which breaks out many of the ESP32’s pins. It also comes with 8MB PSRAM which enables you to implement memory-hungry applications like embedded machine learning or using a graphics driver with a frame buffer. Please note that current software stacks might limit the PSRAM usage to 4MB. The WROVER-E module has passed several certification programs like FCC and CE. 

The ePulse development board gives you access to no less than 20 GPIO pins.

Documents

Order

The ePulse Feather can be preordered for $12.50 (pre-order discount) from ThingPulse.com. Shipping is expected to start by the end of February 2023.

Hamamatsu Photonic’s subminature new detector

Posted on by mixos

Hamamatsu Photonic has developed a new InAsSb photovoltaic detector (P16702-011MN) with built-in preamplifier offering high sensitivity to mid-infrared light, up to 11μm in wavelength. We achieved this by combining the latest InAsSb (indium arsenide antimonide) mid-infrared models with our unique circuit design technology. Compared to our previous modules with same level of sensitivity, the P16702-011MN size and cost is drastically reduced, and it exhibits fast response time. This makes it an ideal choice for portable gas analysers able to immediately analyse exhaust gas components at measurement sites around factories.

Product overview

The P16702-011MN is a compound semiconductor photodetector with a built-in preamplifier for electrical signal amplification.

Each molecule has its own vibration and absorbs infrared light at a specific wavelength determined by its energy. This property can be used to analyze and identify the type and quantity of chemical components contained in a sample. Therefore, mid-infrared light is widely utilized in the analysis of nitrogen oxides and sulfur oxides contained in exhaust gases from factories, etc.

To meet needs in applications such as gas analysis and monitoring of processing laser equipment, we develop and sell InAsSb mid-infrared detectors and detector module products with enhanced sensitivity, by integrating these with electronic circuits and components including preamplifiers. To keep up with the growing market demand of further downsizing equipment, we have been working on a subminiature, low-cost mid-infrared detector device that also offers high-speed response.

In designing this new device, we adopted the latest back-illuminated type InAsSb mid-infrared detector with a sensitivity 1.5x higher than the regular type. We encapsulated it into a small cylindrical package with a diameter of approximately 9mm. The device was drastically downsized to about 1/200th the volume of our module products, yet it still offers the same level of sensitivity capable of detecting mid-infrared light at wavelengths up to 11μm. What’s more, the wiring in the package is optimised to increase the response speed up to 100MHz, which is twice as high as our module products, thus improving measurement accuracy. It also has a lower manufacturing cost since we reduced the number of required components.

The P16702-011MN will speed up the replacement of mercury-cadmium-telluride (MCT) infrared detectors which is currently the mainstream in high-precision mid-infrared spectroscopy but contains toxic substances restricted by the RoHS Directive. Hamamatsu Photonics is one of the few companies that manufacture both photodetectors and light sources. Using the P16702-011MN in conjunction with a quantum cascade laser, which we also manufacture, allows making measurements at even higher speeds, resolution, and sensitivity.

Sales of the P16702-011MN will begin on 1st February 2023 to domestic and overseas manufacturers of environmental measurement and analysis equipment. We will also have the P16702-011MN on show at the “SPIE Photonics West 2023”, an international conference on photonics and related technologies, held in San Francisco, California, USA from 31st January to 2nd February 2023.

AAEON’s Up Xtreme i12 comes with support for AI, 5G, WiFi 6 and PCIe 4.0

Posted on by Emmanuel Odunlade

UP Xtreme i12 is a new generation power efficient development board designed by AAEON, one of Europe’s leading manufacturers of AI edge computing platforms. The new development board is a smarter, stronger, and faster one compared to its predecessors.

One unique feature of the development board is that it can be powered with a choice of one of four powerful Intel i-core 12th generation SoCs (see specifications below). Power input ranges from 12V to 36V, meaning the development board is well suited for extended use for industrial applications. This, with the high-performing processor, means the board still offers continuous and efficient operation even in challenging environments.

Alongside having a fast processor, the Up Xtreme i12 board can also support up to 32GB of onboard LPDDR5, some expansion interfaces, and several serial ports including three USB 3.2 Gen Type-A ports, one USB 4.0 Type-C port, and two USB 2.0 ports. There’s an RJ45 port that supports 1GbE and another which supports 2.5GbE.

“The UP Xtreme i12 offers unprecedented expandability,” the product page explains. “Supporting Wi-Fi 6 and 5G via M.2 2230 E and 3052 B-Keys, the UP Xtreme i12 also contains two M.2 2280 M-Keys for PCIe 4.0 storage and AI module support. Its AI performance is augmented by Intel DL Boost and the Intel distribution of OpenVINO toolkit, which yields up to 2.81 x the GPU image classification inferencing performance of the previous generation.”

The Up Xtreme i12 board is perfect for a lot of application scenarios. It offers accelerated data processing ability and ensures high-speed connectivity to peripheral cameras and sensors.  It also has the ability to handle up to four simultaneous displays with 4K resolution at 60Hz (one HDMI 2.0, one DP 1.4a, one eDP 1.4b connector, and one Type-C port with display support).

Features and Specifications Include:

  • 12th Generation Intel Core i7/i5/i3/Celeron SoC:
    • Core i7-1270PE 12C/16T, 3.30GHz – 4.50GHz; Iris Xe Graphics
    • Core i5-1250PE 12C/16T, 3.20GHz – 4.40GHz; Iris Xe Graphics
    • Core i3-1220PE 8C/12T, 3.2GHz – 4.4GHz; Intel UHD graphics
    • Celeron 7305E 5C/5T, up to 1.0GHz; Intel UHD Graphics
  • Up to 32 GB onboard Dual channel LPDDR5  4800MHz
  • 4x independent displays supported with up to 4K at 60GHz
  • 2x M.2 2280 Key M (PCIe Gen 4.0 x 4)
  • 1x SATA 3
  • 1x M.2 2230 E-key
  • 1x M.2 3052 B-key
  • 5G supported via M.2 3052
  • Intel AX210 WiFi 6 supported
  • TPM 2.0
  • 1x audio jack (mic-in, Line out)
  • Wi-Fi 6, Bluetooth 5.2
  • 40-pin HAT connector
  • 2x LAN ports
  • 1x 2.5Gbps LAN speed
  • 2x USB 2.0, 1x USB 2.0 Type-A
  • 3x USB 3.2 Gen 2 Type-A
  • 1x USB 4.0 Type-C
  • 1x power button/LED
  • 1x DC connector
  • 1x Nano SIM slot
  • 1x 40-pin GPIO
  • 2x 10-pin RS232/422/485 connectors
  • Power: 12 – 36V DC input
  • Operating Temperature: 0°C – 60°C (32°F – 140°F)
  • Operating Humidity: 0 – 90% relative humidity, non-condensing
  • Dimensions: 120.35 mm x 122.5 mm
  • Weight: 389 grams
  • Operating System: Windows 10 Enterprise, Ubuntu 22.04, Yocto (TBD)
  • Certifications: CE/FCC class A, RoHS Compliant, REACH

The company did not provide details on pricing and availability yet but other Useful information including links to the datasheet and user’s manual can be found on their product page.

Step-Up Your Projects with Arduino MKR IoT Carrier Rev2 featuring 4-in-1 Bosch BME688 Sensor

Posted on by Saumitra Jagdale

Arduino has launched a second version of their Arduino MKR family which features a range of sensors. The Arduino MKR IoT Carrier Rev2 is designed for Internet of Things projects. It provides a range of connectivity options, including Wi-Fi, cellular, and LoRa, as well as a variety of sensors like humidity, temperature, and pressure sensor. The Arduino MKR IoT Carrier Rev2 uses ST LSM6DSOXTR which is a 6-axis inertial measurement unit(IMU). The LSM6DSOX is a replacement for LSM6DS3 from the previous version.

Technical Specifications of Carrier Rev2

  • The ST LSM6DSOXTR is a 3D digital accelerometer and gyroscope sensor with a full-scale acceleration range of ±2/±4/±8/±16 g and an angular rate range of ±125/±250/±500/±1000/±2000 DPS.
  • The display used in the board is the KD013QVFMD002-01 which is a 1.3-inch rounded OLED display with 240×240 resolution. The pros of OLED displays are that they consume very minimal energy while giving sharp display quality.
  • For ambient light, proximity and gesture detection Broadcom APDS-9960 is used. The package does not include a 18650 Li-Ion rechargeable battery, but it powers the board.
  • 5x capacitive buttons are available on board. SD card slot is available for storage and data processing.
  • The MKR IoT Carrier comes with three grove connectors (2 analog and an I2C) that enables us to easily connect external sensors. The type of connector is labeled clearly on the back of the carrier.

The board also has a Bosch BME688 which is the first gas sensor with AI and integrated high-linearity and high-accuracy pressure, humidity, and temperature sensor. It can detect gases like Volatile Organic Compounds (VOCs), volatile sulfur compounds (VSCs), and other gases such as carbon monoxide and hydrogen in the part per billion (ppb) range.

 

Connectivity Features and software support

The Arduino MKR IoT Carrier Rev2 is compatible with Arduino MKR family boards. The board features Wi-Fi, Narrowband (NB-IoT) or 3G cellular connectivity. Low-power design makes NB-IoT devices suitable for battery-powered devices that need to last for long periods of time. NB-IoT networks have a wide coverage area and can penetrate deep into buildings, making them suitable for indoor use.

Users can program the board using Arduino IDE and use the Arduino_MKRIoTCarrier library for the MKR family. The library will allow users to control the IoT MKR carrier and all components included in exploring IoT kit.

The Arduino MKR IoT Carrier Rev 2 retails at $63.60 or 60 Euro on the official Arduino store. For more information visit the product page.

Elevate your TinyML Projects with Arduino Nicla Voice Featuring Syntiant NDP120

Posted on by Saumitra Jagdale

In a world where voice assistants can be activated by just a simple activation voice command line like “Ok Google” or “Alexa”, the importance of vocal input is crucial. Nicla Voice is a development board designed to help developers create and deploy machine learning models on edge devices, specifically for voice applications. Powered by the Syntiant NDP120, a neural decision processor, the boards can handle AI algorithms, speech recognition, and natural language processing seamlessly. With its low-power microcontroller, the board is well-suited for building and testing a wide range of voice-controlled devices like smart speakers, voice assistants, and other tinyML projects.

Technical Specifications of Nicla Voice

  • The Nicla Voice uses Syntiant NDP120 Neural Decision Processor which uses 1x Syntiant Core which is an ultra-low power deep neural network interference engine; 1x Hi-Fi Audio digital signal processor(DSP) and 1x Arm Cortex M0 core which works at 48MHz.
  • The board also features nRF52832 which is a general-purpose multiprotocol SoC. It is packed with Arm Cortex-M4 running at 64 MHz, 512/256 KB Flash, 64/32 KB RAM and Bluetooth 5.3(BLE).
  • The sensors used are IM69D130 which is a high-performance microphone. Board also features BMI270 which is a 6-Axis IMU and a 3-axis magnetometer BMM150
  • The Nicla Voice is just 22.86 x 22.86 mm and weighs just 2g. The module has an operating temperature range of 0° C to +70° C.

The Syntiant NDP120 is a special-purpose processor for deep learning and is ideal for always-on applications in battery-powered devices. It is built using Synthia Core 2 programmable deep learning architecture. Core 2 delivers 25 times better performance than its predecessor Synthia Core 1. It’s designed to run deep neural networks on various architectures natively.

Connectivity, software support, and more about the board

The Nicla Voice features Bluetooth low energy which is aimed at novel applications in the healthcare, fitness and home entertainment industries. The Nicla Voice is intended to consume low energy while having a stable wireless connection. It features two analog-to-digital converter pins, an SPI bus, and an  I2C bus. A five-pin ESLOV connector connects the device, along with a single UART, USB B. An external microphone that can be used with the ZIF connector.  You can use a JST 3-pin connector to connect a Li-ion/Li-Po single cell of 3.7V to the device. The board can be programmed using Arduino IDE.

The Nicla Voice has a huge variety of applications. The applications are voice recognition, speech synthesis, voice-enabled IoT devices, smart home automation, and much more. The board retails at $82 and for more information visit the product page.

Axelera AI M.2 is the game-changing Accelerator Module in the Field of Machine Learning

Posted on by Saumitra Jagdale

As the demand for AI-based deep learning applications increases there is a demand for AI accelerators with higher processing capacity. An AI accelerator is a high-performance parallel computation machine that is specifically designed to perform tasks with the help of neural networks. One such revolutionary accelerator is Axelera AI M.2. Fueled by a single Metis AIPU, this module can deliver up to 214 tera-operations per second (TOPs) while consuming very minimal power as low as 15 TOPs/W. Four homogenous AI cores are equipped in the AIPU. The cores are designed for accelerating neural network inference.

Technical Specifications of Axelera AI M.2

  • Axelera AI M.2 is based upon the company’s Metis AIPU(AI Processing Unit) which is designed in 12nm CMOS.
  • The AI core, a RISC-V controlled dataflow engine, delivers an unprecedented peak performance of 214 TOPs in total. The module has an energy efficiency of 15 TOPs/W at INT8.
  • INT8 represents an 8-bit signed integer which holds values from -128 to 127—typically used in deep learning applications due to its fast matrix operation.
  • The 214 TOPS with 15 TOPs/W gives the Axelera AI M.2 a great advantage against its rivals like Myriad 2, Hailo-8 and NVIDIA Jetson AGX Orin module.

Extending processing capabilities with versatile connectivity

The device connects to the accelerator module using an M.2 slot, which replaces mSATA slots. M.2 offers a more versatile and suitable interface for solid-state storage, especially in smaller devices. M.2 provides a range of module widths and lengths, and advanced interfacing features, whereas mSATA is limited in comparison.

The Axelera Metis is programmable by the Voyager SDK which provides an end-to-end integrated framework for Edge applications development. Developers optimize the SDK for creating computer vision applications for the Edge because it is specifically designed for AI-related tasks.

The company is also launching a PCIe card for developers seeking more performance. It will feature four Metis AIPUs which will be capable of providing 856 TOPS. These AIPUs can process ResNET50 at 12,800 fps and MobileNet V2-1.0 at 38,884 fps. This provides a substantial boost in the field of neural networks. The company additionally teased their AI gateway with Metis M.2 card. It is a solution for businesses looking to deploy networks of smart cameras. AI vision gateway offers performance in excess of 100 TOPs for small to medium-sized smart camera deployments in robotics and retail (up to 8 cameras).

The M.2 accelerator module retails at $149 and the PCIe card costs $499. The cost of the gateway is not yet available. For more information visit the product site.

Walkie-Talkie module Built On Tiny ESP32 board

Posted on by Rakesh Kumar, Ph.D.

Recently, LILYGO introduced a compact ESP32-S3 gadget that features a Walkie-Talkie module along with additional components like an OLED screen, speaker, microphone, and a slot for a 18650 battery. An ESP32 gadget with a stylus-equipped LCD display was also on show.

The T-TWR is said to have an embedded ESP32-S3-WROM-1-N16R8 microprocessor, as detailed on the product page. Xtensa’s 32-bit LX7 dual-core ESP32-S3 processor (up to 240MHz) and 16 MB of flash memory. With Bluetooth 5.0 and Wi-Fi at 2.4GHz, the PSRAM has 8MB of storage.

T-TWR pinout

A 0.96-inch OLED LCD display that supports the I2C interface protocol is built within the system; this model is the SSD1306. The built-in walkie-talkie module supports 1.6w/1.8w  and operates at a bandwidth of 12.5KHz/25KHz. The module can also be purchased in additional radio-frequency options, such as UFV, VHF, and 350. In addition to one suitable antenna and two 13-pin headers, the order appears to contain a T-TWR ESP32-S3 module. The necessary information can be found in the GitHub repository linked below.

T-TWR module

T-TWR features a 0.96-inch OLED SSD1306 screen (128 x 64). With a sensitivity of -124 dBm and a bandwidth of 12.5 kHz/25 kHz, the walkie-talkie module is compatible with frequencies in the ranges of 400 – 480 MHz UFV (optional), 134 – 174 MHz VHF (optional), 320 – 400 MHz, and 350 MHz (optional). There is one USB Type-C port available. There is only one microphone and one speaker for input and output, respectively. The status LEDs and IO3, and stemma QT/ Qwicc connectors, as well as the encoder, are all included. This item has a size of 122 x 32 x 22 mm. Battery operation is used.

T-HMI pinout

T-HMI embedded board is also based on ESP32-S3R8 microprocessor. Xtensa 32-bit LX7 dual-core (up to 240MHz) with 16 MB Flash and 8 MB PSRAM is featured in the ESP32-S3. Bluetooth 5.0 and Wi-Fi at 2.4 GHz are also included. The screen is a 2.8″ resistive IPS TFT LCD (ST7789V) with a resolution of 240 pixels by 320 pixels. Similar to other TFT LCDs, this one communicates via a parallel 8-bit interface. The board has a USB Type-C port for external power and programming, as well as a battery connector for use with an external power source, as can be seen in the images below.

T-HMI peripherals

On the product page, there is a GitHub repository with examples that can be used as documentation. For this product, the order comes with the board, a resistive screen stylus pen, and a PH2.0 battery cable. The T-TWR board can be bought on AliExpress.com for $45.58. In the same way, LILIGO’s online store lists the T-HMI for $23.73.

Highlights of RSC201 Fanless Edge Computer with Xilinx Kria SoM

Posted on by Rakesh Kumar, Ph.D.

Based on Xilinx’s Kria K26 System-on-Module, Axiomtek’s RSC201 Vision System was released last month for use in business and industry. With a single 1x GbE LAN port, a single 1x CAN bus, a single 1x 4K display, and 5G connectivity, the RSC201 is well-equipped. An H.264/265 video codec is built right into the Kria K26 SoM, which also boasts a Quad-core Arm Cortex-A53 MPCore (up to 1.5GHz), a Dual-core Arm Cortex-R5F MPCore (up to 600MHz), a Mali-400 MP2 (up to 667MHz), and 1.36TOPS.

Block diagramKria K26 SoM

The device has one M.2 Key B 2242 slot and up to 16GB of eMMC flash storage for SATA 3.0. There is only one DisplayPort for this screen, and its maximum resolution is 4Kp60. The RSC201 has an M.2 B-Key 3052 slot for 5G modules, a SIM slot, and a Gigabit Ethernet interface. The RS201 is approved by CE and FCC as Class A and is immune to vibration (3.5 Grms, 5 to 500Hz, X, Y, Z directions). Although the product page boasts Linux compatibility, as of this writing, the Downloads page is still empty.

RSC201 peripherals

 

About 64 bits of onboard DDR4 (Up to 4GB) and eMMC (Up to 16GB) are included in the RSC201. There includes a GbE LAN port for communication, and the DisplayPort version is 1.4. There is a single SIM card slot and one each M.2 Key B 2242 and M.2 B-Key 3052 expansion slots. There are two USB 3.0 ports. There is one RS-232 COM port, one PMOD port, and one CAN bus port used for input and output. Linux is the operating system, and there are 2 LEDs for monitoring system activity.

The package weighs roughly 1.5 kg and has dimensions of 150.0 x 111.0 x 65.6 mm. Aluminum extrusion and the robust steel construction also contribute to its IP40 rating. You may use it from -30 degrees to 75 degrees, and the voltage is between 12 and 24 volts.

Cameras using the GbE LAN interface are supported, and so is the 5G wireless connection. Non-condensing relative humidity between 5% and 95%. The X, Y, and Z axes vibrate at frequencies between 5 and 500 Hz, and the overall level of vibration is about 3.5 Grms. The option to place it on the wall is included. Its cutting-edge capabilities make it a top choice for use in edge AI smart city and industrial settings.

Refer product page for further information.

TOP PCB Companies