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ESP32-S3 Dual-Core WiFi And Bluetooth LE 5 SoC Adds AI Features For AIoT Applications

Posted on by Emmanuel Odunlade

Espressif Systems has officially announced the arrival of the new SoC that adds AI features for AIoT applications.

“Responding to the ever growing significance of AI, we are delighted to announce the newest addition to Espressif’s series of MCUs, ESP32-S3, which has been specifically designed to address the needs of the AIoT market,” writes Espressif Systems.

The ESP32-S3 includes an updated dual-core MCU, extended I/O, AI-related instructions, and reliable security features. It is “the result of an overall optimization in terms of connectivity, AI computing power, security, IO availability, and peripheral interfaces.”

The ESP32-S3 will provide developers with an AIoT solution platform that is not only cost-effective but also easy to develop.  It is fast, smart, and flexible with up to 44 programmable GPIOs for a host of commonly-used peripherals like SPI, I2S, I2C, PWM, RMT, ADC, DAC, UART, TWAI and SD/MMC host. It is also equipped with a ULP core that handles multiple low-power modes in such use-cases.

Key Features and Specifications of the ESP32-S3 include:

  • 32-bit dual-core Tensilica LX7 processor running @ up to 240 MHz with additional vector instructions support for AI acceleration
  • Additional vector instructions support for AI acceleration
  • 512KB SRAM
  • 384 KB of ROM
  • Octal SPI flash and PSRAM support
  • 2.4 GHz 802.11 b/g/n Wi-Fi 4; 40 MHz bandwidth
  • Bluetooth LE 5.0 with long-range support and up to 2Mbps data rate
  • 44x programmable GPIOs
  • SD/MMC host, SPI, I2C, PWM, UART, RMT, TWAI, ADC, DAC, I2S
  • USB OTG
  • Security Features: 
    • Digital signature peripheral (for hardware-accelerated message signing)
    • HMAC module (for message authentication)
    • RSA-based secure boot (verifies the RSA-PSS signature of an application image before executing it).
    • AES-XTS-based flash encryption (for off-chip flash memory)
    • “World Controller” peripheral with two fully-isolated execution environments and one trusted-execution environment (Isolates security-sensitive data tasks from the rest of the application)

The ESP32-S3 is more comparable with ESP32 dual-core LX6 WiSoC since it is also a dual-core WiFi and Bluetooth LE SoC.

Here are some of the major differences between the two:

  • ESP32-S3 is faster than the ESP32 because it has a 240 MHz stock frequency while the ESP32 has 160 MHz.
  • Vector extension in ESP32-S3 makes it specifically faster for AI applications.
  • ESP32-S3 has larger capacity and higher-speed SPI flash and PSRAM chips.
  • I/O are more in ESP32-S3 than in ESP32
  • ESP32-S3 has more security features
  • Ethernet MAC interface is absent in ESP32-S3 but present in ESP32

What’s more? The new SoC is supported through the popular ESP-IDF platform that offers unparalleled support policy and regular updates. Developers can easily build new applications or move the ones they have built to the ESP32-S3 platform to continue with the ESP-IDF tools and APIs.

More details on the ESP32-S3 may be found on the company’s news page.

Atomstack Cambrian, The Worlds Most Advanced 3D Printer For TPR

Posted on by Tope Oluyemi

Atomstack Technologies has launched a campaign on Kickstarter for their Atomstack Cambrian 3D printer. Explaining the reason behind their 3D printer, the company says:

“3D printing is innovative technology that is changing the way products are created. Many of us have purchased a 3D printer hoping to print gadgets for daily use. Unfortunately, achieving useful prints for everyday objects is difficult due to the lack of elasticity and durability of the printing filament, ultimately making the 3d printer nothing more than a fun but expensive toy. That’s why we invented the Atomstack Cambrian 3D printer.”

The Atomstack Cambrian 3D printer is very different from the 3D printer so available on the market. It is equipped with two swappable extruders that enables it the power to print virtually anything. One of the extruder is 1.75mm, and it is for common filament materials,  and the other is a specially designed 2.85mm extruder for TPR (Thermo Plastic Rubber) filament. The highlight of the Atomstack 3D printer is its Thermo Plastic Rubber printing ability, which avails a user create durable end-use products for real world applications. With the Atomstack, there is endless possibilities of what you can print. Printing rubber-like filament is quite difficult due to the fact that the elastic material has a very high possibility of becoming stuck in the nozzle. Atomstack’s 2.85mm extruder takes care of this problem. The extruder is designed to avoid the nozzle jam problem. This enables it perform excellently in printing rubber products such as shoes, lattices, and balls, or components of other products that require elasticity and resiliency.

Application of the TPR filament includes sports equipment, auto parts, electronic devices, medical devices, industrial design, etc. The TPR features properties that makes it perfect for 3D printing. With high elasticity (50-70A hardness) and resiliency ( >50%), you can use the TPR filaments to print any end-use rubber products. You can swap out the extruder for either TPR printing (2.85mm rubber direct extruder) or traditional printing (1.75mm extruder), and they are easy to swap out in seconds. What makes Cambrian  efficient and effective is that the direct extruder design makes the extruder close to the nozzle; therefore, it quickly react to the filament and start printing. Also, the 1.75mm & 2.85mm extruders enables better extrusion, faster retraction, and a wider filaments range. The two different extruders makes Cambrian compatible with a wide range of filaments.

The Cambrian has a patterned glass hotbed platform which helps improve printing quality by keeping the extruded filament warm and thus preventing warping. It also enables the printout removal easier. Cambrian features a silent TMC2225 built-in chip, which enables the printer print fast, precise and quiet and won’t disturb you while working. For ease of use, the company developed the control system & user interface with a capacitive touch screen that enables users enjoy their printing experience. Its 4.3″ touchscreen LCD is easy to use. The touchscreen enables you to precisely control the temperature of the hotbed & extruder, set printing parameters, and see print previews. Its UI system enables an efficient and enjoyable user experience. It enables you manage your tasks directly from the system, and also adjust operating temperature, dimensions, and leveling. The Cambrian is durable. All modules and major components are housed in a high strength aluminum alloy which provides the rigidity and stability for accurate printing.

The project will only be funded if it reaches its goal by Fri, February 19 2021 2:59 PM CET. You can find more information about the project on Kickstarter.

Pocket Op Amp Lab powered by AVR128DB28

Posted on by mixos

This is a self-contained tool to allow you to experiment with the configurable op amps provided in the new AVR DB-series processors from Microchip. It shows the configuration as a circuit diagram on the display, and lets you reconfigure it by selecting options from on-screen menus. The display is dynamically updated to reflect the configuration you have selected. by David Johnson-Davies:

It’s based on an Adafruit 240×135 colour TFT display, and an AVR128DB28 microcontroller. This provides two configurable op amps, each of which can be used to amplify low-level signals up to logic levels, or to process the output from the chip’s DAC output. As you press the buttons to change a menu option, the op amp settings are also updated dynamically. So, for example, if you’re using an op amp to amplify an audio signal you’ll hear the volume change as you step between the MUXWIP options, which determine the op amp gain.

In a future article I plan to feature an Op Amp Cookbook, describing a series of projects based on the Pocket Op Amp Lab to demonstrate some interesting applications of the configurable op amps in the AVR DB series.

Pocket Op Amp Lab powered by AVR128DB28 – [Link]

Kontron AI Platform based on Google Coral Edge TPU for Artificial Intelligence

Posted on by Saumitra Jagdale

Kontron AI platform based on NXP i.MX8 M & Google Coral Edge TPU allows easy integration of all Google TensorFlow-Lite applications for Artificial Intelligence. The applications of TensorFlow Lite and pre-trained models can be downloaded for free of cost. It also comes with the feature of quick simple development of neural networks with machine learning and deep learning applications and thus has an optimized TTM (Time To Market).

The Google Coral Edge TPU (Tensor Processing Unit) enhances the AI platform, performing 4 TOPS (Trillion Operations Per Second) for high-speed image and video data processing. This enables the development of industrial AI applications such as object recognition and classification and other image processing-based applications.

“Compared to an application with simple USB-cameras without TPU at approx. 6 frames/s, the TPU accelerates to a speed of 30 frames/s, therefore five times faster.”

The software is an open-source custom Linux-based system with Yocto based Linux image in eMMC Kernel 4.18. Kontron AI platform is compatible with the TensorFlow Lite framework with Python and C++ as the primary programming languages. Models of the framework feature compactness for more efficiency, through quantization. This converts 32-bit parameter data into 8-bit representations which are suitable for TPU. This enables Edge Computing for low latency and improves the performance significantly.

Technical Specifications of the AI Platform

  • NXP processor – iMX8 M Quad 1.3 GHz  Arm Cortex-A53 CPU cores
  • Google Coral Edge TPU
  • 4 GB RAM
  • 64 GB eMMC
  • 2x USB 3.0 I/O, 1x USB 2.0 internal, 1x USB OTG internal
  • 2x 10/100/1000 Gigabit Ethernet LVDS Dual Channel LVDS
  • 8x GPIO internal header
  • 1x SPDIF internal headers, 1x Line-In, Line-Out, and Microphone-In internal header
  • TPM 2.0 Infineon for security
  • 12 V DC/1x Locking barrel-type DC Power Jack, 1x Internal 4-pin power connector
  • pico ITX family with 100 mm x 72 mm

Kontron AI Platform has the option of a USB camera that supports real-time video capture based on v4l2, which is a Linux-based collection of device drivers and API. However, the camera is not available with the package.

“The platform is also suitable for use in harsh environments with extended temperatures ranging from -40° to + 85° C and supports Yocto Linux with the latest kernel.”

To sum up the Kontron AI Platform, the company says:

“The new compact Kontron AI platform consists of an M.2 module with the Google Coral accelerator chip for the software ecosystem TensorFlow Lite on a 2.5-inch pITX SBC from Kontron with an NXP i.MX8M processor.”

There is no exact information about the time of product release at this point in time as the product page says “coming soon.” However, the official press release of the company says:

“The platform will also be available on other Kontron systems within the first quarter of 2021.”

Images and technical specifications have been taken from the official product page and datasheet.

Arduino Nano 33 IoT-based NTP World Clock

Posted on by Saumitra Jagdale

Arduino Nano 33 IoT can be used to enhance existing devices and creating new ones to include IoT and to design network-specific applications. This article focuses on one of such applications which uses Network Time Protocol by clock synchronization between systems all over the world. It is necessary to know more about Arduino Nano 33 IoT board.

Arduino Nano 33 IoT has a NINA -W10 chipset working at 2.4GHz, this u-blox module is used for Bluetooth and WiFi network connectivity. This WiFi connectivity can be used for clock synchronizations via Network Time protocols to get information of time from different systems. The primary processor of the Nano 33 board is a low-power Arm Cortex-M0 32-bit SAMD21, the board also features secure communication ensured by the Microchip ECC608 chip.

Key Features of Arduino Nano 33 IoT

  • Arm Cortex-M0 32-bit SAMD21
  • Clock frequency up to 48MHz
  • Flash Memory of 256KB
  • 32KB SRAM
  • NINA W10 for Bluetooth and WiFi connectivity
  • Microchip ECC608 crypto chip for security
  • Circuit voltage 3.3V,
  • I/O: 8 analog pins, 14 digital pins,
  • Interfaces: 1 UART, 1 SPI, 1 I2C
  • Dimensions: 45x25mm

If one wants to know the time of different time zones in the world, there are many mobile applications and websites for this purpose. Although, this is a simple thing but what if one wants to get this time info at a glance. A dedicated device to “know what time it is anywhere in the world” could satisfy this requirement.

Kaleb Clark (Innovation Team Hardware Lead) used a “3.5″ SPI TFT screen to show eight time zones in the device’s main section, plus a pair of 7-segment displays (SSD) for two more “slots.

” The unit runs on an Arduino Nano 33 IoT, which checks the time over WiFi via the Network Time Protocol, or NTP.”

Arduino Nano 33 IoT-based NTP World Clock

Features of NTP World Clock

The built NTP clock has a TFT screen on the left side and two 4-digit SSDs and a rotary encoder on the right side. The top SSD shows the present location and time and the bottom SSD shows the selected time zone’s time. The TFT screen configured with Nano 33 IoT using NTP, has a WiFi indicator at the top right corner. The screen has four levels of indications based on RSSI values on the radio module of the Nano 33 board:

  • WiFi indicator (top right corner)
  • Current location’s date
  • Country name, Time and Offset Value
  • Progress scroll bar showing the seconds value

The screen shows 8 different time zones (countries) with additional two time zones synced with two SSDs. The offset value of the time for a time zone is with respect to the current location’s time, and not the standard UTC. Pressing the center button of the encoder takes you to the menu page. The rotary encoder functions as a controller to change a particular time zone from the options available in the menu. There is also an option of 24hr /12hr format in the menu.

You can alter the code to change the structure and design of the display. To know more about this project application of Arduino Nano 33 IoT, watch this video by Kaleb Clark. If you hit a dead-end while building this project, you can shoot your queries on Element14 Community Forum.

The images and technical specifications have been taken from The Arduino Blog and Arduino Nano 33 IoT product page.

BIQU BX, World’s First OctoPrint Integrated FDM 3D Printer

Posted on by Micael Coutinho

Big BigTreeTech is not fond of rushing products to you every month, with their last 3D (BIQU B1) printer having released in July, you can tell they try to deliver meaningful reasons for you to update your 3D printing setup. With the announcement of the new BIQU BX 3D printer, described by the company as “exceptional printing made for creators”, is it the one for you? It certainly is worth checking out!

At first glance, you will feel that this 3D printer is relatively small but sleek, where the carbon-looking frame gives it an appealing look, along with the massive 7 inch LCD touch screen. The enclosure is made of aluminum extrusions, 2040 on both sides and 2020 on top, where the wider base for the Y-axis contributes for more stable 3D prints. For the Z-axis, a dual stepper motor setup is used in combination with a timing belt on top. On the top, you will also find a holder for the filament spool, since we are dealing with a direct drive 3D printer. The bottom heat bed uses the BIQU SSS (Super Spring Steel) technology, guaranteeing that the model is stable when the bed is heated  and does not fall off, while being easy to take when the 3D printing is done. The power supply is located under the Y-axis frame, hiding it from sight and therefore contributing to its simple and appealing appearance. On the front side, you will find not only the touch screen but also an SD card slot.

The direct extruder itself is one key differentiator between this and other 3D printers as it is the world’s lightest (219g), paired with a Ra0.4 nozzle to reduce inertia and clogging to its minimum, providing the maximum accuracy improvement. The 7:1 torque transmission ratio ensure outstanding printing performance. Instead of a 1.8º standard stepper motor, the BIQU BX is makes use of a 0.9º degree motor, doubling the precision, which greatly improves the fineness and accuracy of your 3D prints.

The BIQU BX All Metal Extruder
The BIQU BX All Metal Extruder, one of the stars of the show

The heart of this 3D printer is the new powerful BigTreeTech motherboard, containing their new 32-bit 400MHz chip, enabling it for bigger complexity when it comes to 3D printing. The beefy motherboard also offers some interesting safety features, such as reverse plug protection, heating overload protection and real time monitoring of the power supply voltage, which will result in a more robust and longer-lasting product.

There are 3 operation modes available for this 3D printer: Marlin mode, the BigTreeTech touch screen mode and the Plug & Print Raspberry Pi expansion mode, making it the world’s first laptop-free OctoPrint integrated 3D printer.

The powerful BigTreeTech board with Raspberry Pi integration
The powerful BigTreeTech board with Raspberry Pi integration

Some other interesting specs are:

  • Printing volume: 250 x 250 x 250mm
  • Printing speed: 100mm/s
  • Printing accuracy: 0.1mm
  • Power-loss recovery
  • One-cable extruder-to-board solution
  • Proximity sensor for auto-levelling
  • Capable of handling PLA, TPU, PETG, ABS and nylon filaments
  • Silent printing with a trinamic stepper driver
  • MEAN WELL 24V/350W PSU

The firmware of the BIKU BX is open source and highly expandable, with new updates coming regularly to GitHub and hardware expansions, such as a breaking and blocking detection module and reserve interfaces for the Wi-Fi printing module and the CAN bus.

But how can you get one? Easy. The printer is funded on Kickstarter, through the ogatget website, where you can get a huge discount, acquiring it for $249.

From what we have seen so far, this printer seems to be a no-brainer if you want to get great quality 3D prints. Will you pick it up?

Ogadget Link: https://www.ogadget.com/x/biqu-bx#CTA

TDK introduces revolutionary MEMS-based CO2 gas sensor platform

Posted on by mixos

TDK Corporation announces the InvenSense TCE-11101, a miniaturized ultra-low-power MEMS gas sensor platform for direct and accurate detection of CO2 in-home, automotive, IoT, healthcare, and other applications. The TCE-11101 introduces new technology that expands TDK’s sensor leadership into new applications and solutions, as part of the new SmartEnviroTM family. Its small size and low power enable consumer and commercial devices of all form factors that do not need to be wall-powered. The TCE-11101 is housed in a 5 mm x 5 mm x 1 mm 28-pin LGA package and requires minimal external components to complete the design.

Currently, available gas sensors use bulky, power-intensive, and expensive optical techniques; or an intrinsically inaccurate “eCO2” approach. TDK’s TCE-11101 is based on a groundbreaking technology platform made possible by TDK’s unique combination of novel materials development, MEMS process technologies, and AI and machine learning capabilities, delivering a solution that is orders of magnitude smaller than traditional sensors, consumes less than 1mW of power and provides accurate measurement of CO2 gas concentration.

The TCE-11101 significantly expands the use cases for CO2 detection in a wide variety of new and existing applications where traditional sensors fail due to size and power concerns or simply the economics of their usage, while “eCO2” solutions fail to provide the required performance. For example, the TCE-11101 is ideal for applications such as fixed or robotic indoor air quality monitoring due to its ability to provide accurate CO2 readings, doing so at extremely low power, in a very small form factor, and in a low cost, easy-to-integrate digital device. Further, in applications such as Demand Controlled Ventilation (DCV), the TCE-11101 allows granular control of an HVAC system by accurately measuring CO2 levels that precisely indicate occupancy in a room or given space – information which can be used to optimize energy consumption for HVAC in Smart Buildings or Smart Homes.

Features and benefits of the SmartEnviro products include: Ultra-low-power; Direct CO2 sensing; Digital interface (I2C); Miniaturized form factor; Technology that offers very wide sensing range (400 ppm to 50,000ppm); Integrated solution with onboard programmability via 16-bit microcontroller; Background calibration for long-term stability; RoHS and Green compliant

The gas sensor platform solution includes:

TCE-11101: The TCE-11101 is a 5 mm x 5 mm x 1 mm 28-pin LGA package, with a metal cap and integrated particle ingress filter to ensure long-life operation. It includes an ASIC that provides automatic calibration, reporting, and a serial interface for data output and configuration, making it incredibly easy to integrate into nearly any application, with the low power consumption enabling its use in battery-powered devices. DK-11101: TDK offers a comprehensive evaluation kit with supporting software so developers can quickly evaluate the TCE-11101 and integrate it into their next design.

The TCE-11101 sensor and DK-11101 development kit are available now for select early partners and customers.

Sipeed’s MAIX-II Dock Development Kit for AI-specific Applications

Posted on by Saumitra Jagdale

MAIX-II Dock Development Kit for Sipeed’s second-generation MAIX-II core module has a built-in NPU (Neural Processing Unit) for AI-specific applications. The module runs in a complete Linux environment with edge computing features to improve response time and reduce the bandwidth. Hence, the module specializes in deep learning and AIoT functions. MAIX-II module is an Allwinner V831 SoC with better features than the MAIX-I Kendryte K210 module.

MAIX-II Dock Development Kit

The MAIX-II core module on Arm Cortex-A7 works at a higher frequency (800~1000 MHz) than the MAIX-I module which works at a lower (400~600 MHz). The MAIX-I module has a smaller RAM size but the NPU performance is up to 0.23 TOPS (Trillions Operations Per Second), whereas the MAIX-II module has SIP 64MB DDR2 RAM but the NPU performance is 0.2 TOPS. The MAIX-II module provides more peripherals like SDIO, Ethernet port, ADC, and audio port. Additionally, it features video encoding at H.264 up to 1080p at 30fps, H265 up to 1080p at 30fps, and JPEG up to 1080p at 30fps, which is not supported in MAIX-I.

MAIX-II Core Module

MAIX-II Dock Development Board Kit

The Sipeed MAIX-II Dock integrates a 1080p30 camera based on Omnivision SP2305 2 megapixel sensor and 6mm default focal length with an M12 lens. It connects to the board via a B2B connector. The 48.9 x 33.9 x 36.1mm development board “communicates through a 2.4GHz 802.11n Realtek RTL8189FTV module and antenna.” Additionally, it provides 1.3-inch 240 x 240 IPS display, a 1W speaker, a built-in microphone, a microSD slot, and a 3-axis accelerometer. The MAIX-II Dock development board kit is meant for AI-specific applications in smart homes, medical industries, education, and agriculture.

 

Parameters of MAIX-II Core Module and Development Kit

  • Typically, the core board operating current is 50 mA.
  • 22.1 x 24.9 x 3.0mm are the dimensions of the module board.
  • Core board working temperature is between 38-65 ℃
  • Typically, the kit working current is 490 mA
  • 48.9 x 33.9 x 36.1mm are the dimensions of the kit.
  • 5V and 1A is the recommended power supply with a Type C interface.

The Sipeed has the “OpenWrt-based MAIX-LINUX firmware adapted for edge computing, including the relevant drivers, and all opkg package source code” as the system software. The board uses Python 3.8.5 for programming with a user-friendly Jupyter Notebook environment. The system is also compatible with python software packages like numpy for computations and PIL for image processing. The system also supports additional tools like cross-compilation toolchain, QEMU virtual compilation environment, and online model conversion tools.

Software Features of MAIX-II Dock Development Kit

Sipeed has tweeted the MAIX-III module with a 1.5-TOPS NPU, dual-band WiFi, Gigabit Ethernet, and 512MB to 2GB DDR3. Its performance could be much better than the previous versions of the MAIX series because of the increased RAM and TOPS specification. “Due in February, the module runs on a Linux-ready SoC that could be a Rockchip design.”

The Sipeed MAIX-II Dock is available for preordering from Seeed for $28.80, with delivery dates after the 15th of January. For more information visit the official product page.

Images and technical specifications have been taken from Sipeed’s official product page and Hackster’s post.

LG Introduces LG8111 AI Chip And Development Kit for On-device AI

Posted on by Emmanuel Odunlade

LG Electronics has introduced a highly-integrated LG8111 AI Chip together with a corresponding Eris Reference Board for edge AI Processing.

The LG8111 AI chip for on-device AI inference is equipped with an LG-specific AI processor that can copy the neural network of the human brain and process the deep learning algorithm efficiently. The SoC supports hardware processing in AI capabilities like video, voice, and control intelligence.

Since the chip has a low power low latency feature that enhances its self learning capacity, products built with the chip can implement On-Device AI learned and inferred by themselves. The chip also supports AWS IoT Greengrass and the integration of the Eris Reference board with AWS IoT Greengrass allows for easier deployment of a variety of applications and solutions.

Features of the LG8111 AI SoC: 

  • LG Neural Engine 
    • LG proprietary AI Accelerator
    • Inference/Training engine
    • Support for TensorFlow, TensorFlow Lite, Caffe
  • Quad-Core CPU 
    • ARM Cortex A53 cores clocked at a frequency of 1.0 GHz
    • 32KB L1 cache and a 1MB L2 cache
    • NEON, FPU, and Cryptography extension.
  • Vision Accelerator 
    • Dedicated vision for DSP which enables feature extraction and image warping.
  • Camera Engine: 
    • 5M + 5M dual ISP pipeline
    • Parallel interface
    • Noise reduction
    • Lens distortion correction
    • High Dynamic Range (HDR) pre-processing
  • Video Encoder: 
    • Support for full HD video H.264 encoding
  • Audio Engine: 
    • “Always-on” voice recognition
    • Voice Activity Detector with dedicated Audio DSP

The LG LG8111 AI development board on the other hand, is a cost-effective machine learning device development platform for applications such as control intelligence, image classification/recognition, speech recognition, and more. It can provide improved sensor data collection/analysis as well as machine learning inference performance. The board will also find its application in areas like home automation, industrial automation, lighting, etc.

Features and Specifications of the LG LG8111 AI Development Board:

  • ARM HW Architecture
  • eMMC storage
  • Camera Interface support
  • GPIO, I2C, MIPI, PWM, SD, UART, USB
  • Wi-Fi 2.4 GHz Network only
  • C/C++ programming language
  • Security Features: Hardware Encryption, Secure Boot, TEE
  • Operating System: Linux and Ubuntu 18.04
  • Power Supply: Battery
  • Industrial temperature range: -40°C to +85 °C
  • Form Factor: Embedded

The company has stated a number of component-specific solution highlights on the board. You can visit their official product page for that as well as other details about the board or the chip. They also went ahead to drop their email address: LGSIC-AI@lge.com for those who are interested in getting the reference board or have some questions about the LG8111 AI chip.

TPSM82810 – 2.75-V to 6-V, 4-A step-down module with adjustable-frequency & tracking

Posted on by mixos

TPSM8281x is a family of pin-to-pin 3-A and 4-A compatible high efficiency and easy to use synchronous step-down DC/DC power modules with integrated inductors. They are based on a fixed-frequency peak current-mode control topology. They are used in telecommunication, test and measurement, and medical applications with high power density and ease of use requirements. Low resistance switches allow up to 4-A continuous output current at high ambient temperatures. The switching frequency is externally adjustable from 1.8 MHz to 4 MHz and can also be synchronized to an external clock in the same frequency range. In PFM/PWM mode, the TPSM8281x automatically enters Power Save Mode at light loads to maintain high efficiency across the whole load range. The TPSM8281x provides a 1% output voltage accuracy in PWM mode which helps design a power supply with high output voltage accuracy. The SS/TR pin sets the start-up time or tracks the output voltage to an external source. This allows external sequencing of different supply rails and limits the inrush current during start-up.

Features for the TPSM82810

  • Input voltage range: 2.75 V to 6 V
  • Output voltage range: 0.6 V to 5.5 V
  • Adjustable and synchronizable switching frequency of 1.8 MHz to 4 MHz
  • Spread spectrum clocking – optional
  • Selectable forced PWM or PFM/PWM operation
  • Output voltage accuracy ±1% (PWM operation)
  • Power-good output with window comparator
  • 100% duty cycle
  • Output discharge
  • Precise ENABLE input allows
    • User-defined undervoltage lockout
    • Exact sequencing
  • 15-µA typical quiescent current
  • Adjustable soft-start or tracking

more information: https://www.ti.com/product/TPSM82810

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