EFCO Announces Industry’s First Media Player with Advanced Security

EFCO, a world-class supplier of industrial computers and gaming and EMS solutions, today announced VideoStar100, the first media player integrated with SecuBoot™ to provide the most advanced security available for digital displays. Equipped with an AMD industrial-grade Ryzen™ Embedded V1000/R1000 APU, VideoStar100 provides the performance to support three (R1000) or four independent 4k displays and can be used for applications ranging from slot machines to digital display walls, especially for those displays used to introduce the games.

“We wanted to give our customers the most secure, yet cost-effective, solution to play 4K digital display content. Because VideoStar100 is equipped with SecuBoot™, this media player is uniquely able to provide the same level of security for your content as is required on today’s casino gaming floors,” Ira Lo, CTO for EFCO commented. “We are the first company to bring this level of security to a media player, and it also provides high performance applications with support for up to four independent 4k displays.”

About SecuBoot™

Security is a priority for VideoStar100 and the integrated SecuBoot™ ensures that a trusted game environment is operating by preventing malicious applications. This prevents “unauthorized” programs or viruses from USB devices or from Internet hackers to change the operating system during the system start-up process. EFCO SecureBoot™ provides a complete algorithm to cover BIOS Lock, Device Verification, Storage Checksum, and Whisper Talk, which meets country and/ or regional regulations. By including this extra level of security, SecuBoot™ also aids in the ability to meet the requirements of GLI or BMM.

About VideoStar100

VideoStar100 is a high performance, cost-effective 4K media player for the digital signage market. Based on the AMD Ryzen™ Embedded V1000/R1000 Series, it has integrated SecuBoot,™ to provide advanced protection for your content.  VideoStar100 supports up to 4 independent displays with an integrated AMD Radeon™ Vega Series Graphic Processor. Other features include optional SmartBay,™ which supports SATA storage and USB2.0/3.0 ; up to 4 DP ports; 2 RS232 ports, 2 RJ45 ports and supports VESA Mount.  Lifetime support until 2028 is also included.

Availability

VideoStar100 is available now. For more information, contact info@efcotec.com.

STM32L4+ Discovery kit IoT node, low-power wireless, BLE, NFC, WiFi

With the B-L4S5I-IOT01A Discovery kit for IoT node, users develop applications with a direct connection to cloud servers. The Discovery kit enables a wide diversity of applications by exploiting low-power communication, multiway sensing and Arm® Cortex®-M4 core-based STM32L4+ Series features. The support for ARDUINO® Uno V3 and Pmod™ connectivity provides unlimited expansion capabilities with a large choice of specialized add-on boards.

Key Features

  • Ultra-low-power STM32L4+ Series STM32L4S5VIT6 microcontroller based on the Arm® Cortex®-M4 core with 2 Mbytes of Flash memory and 640 Kbytes of RAM in LQFP100 package
  • 64-Mbit Quad-SPI Flash memory from Macronix™
  • Bluetooth® 4.1 module (SPBTLE-RF) from STMicroelectronics
  • 802.11 b/g/n compliant Wi-Fi® module (ISM43362-M3G-L44) from Inventek Systems
  • Dynamic NFC tag based on ST25DV04K with its printed NFC antenna
  • 2 digital omnidirectional microphones (MP34DT01) from STMicroelectronics
  • Capacitive digital sensor for relative humidity and temperature (HTS221) from STMicroelectronics
  • High-performance 3-axis magnetometer (LIS3MDL) from STMicroelectronics
  • 3D accelerometer and 3D gyroscope (LSM6DSL) from STMicroelectronics
  • 260-1260 hPa absolute digital output barometer (LPS22HB) from STMicroelectronics
  • Time-of-flight and gesture-detection sensor (VL53L0X) from STMicroelectronics
  • Highly-secure solution (STSAFE-A110) from STMicroelectronics
  • 2 push-buttons (user and reset)
  • USB OTG FS with Micro-AB connector
  • ARDUINO® Uno V3 expansion connector
  • Pmod™ expansion connector
  • Flexible power-supply options: ST-LINK, USB VBUS or external sources
  • On-board ST-LINK/V2-1 debugger/programmer with USB re-enumeration capability: mass storage, Virtual COM port, and debug port
  • Comprehensive free software libraries and examples available with the STM32Cube MCU Package
  • Support of a wide choice of Integrated Development Environments (IDEs) including IAR™, Keil®, and STM32CubeIDE

more information: www.st.com

Connected Secure and Wearable Electrocardiogram (ECG) Design

Microchip’s innovative design for portable and accurate ECG heart monitoring applications

The electrocardiogram or ECG machine design from Microchip Technology is used to monitor and record the electrical activity of the heart. This design features the SAML22, a high-performance, 32-bit Arm® Cortex®-M0+ microcontroller with ultra-low-power technology, the BTLC1000 Bluetooth® Low Energy (BLE) 4.1 module, the ECC508A Crypto Authentication chip, and the NeuroSky® CardioChip™ ECG biosensor. Since each heartbeat produces an electrical impulse in the heart, the generated cardiac electrical potentials can be measured with sensors placed on the body at different locations. Abnormal electrical activity can indicate conditions such as heart attack, chest trauma, reduced blood flow to the heart, arrhythmia, or heart deformities. The ECG demo measures a complex heart rate and computes other heart-related data. Patient movement is also tracked via an on-board accelerometer. The BTLC1000 BLE module on this board allows the demo to communicate with tablets, smartphones, or PCs for IoT capability.

The demand for portable and accurate ECG monitoring has grown substantially. Despite the smaller size of these portable products, ECG devices still require precision filtering, high-performance processing power, and integrated high-resolution graphics control that is separate from the main microcontroller core. As medical remote patient monitoring becomes more important, the need for wearable ECG capability has become critical. Microchip’s Connected, Wearable ECG Demonstration Board can be used in the design of advanced fitness tracking devices and can also be designed into medical wearable remote patient monitoring and diagnostic systems.

Features

  • Ideal for portable/wearable medical/fitness designs
  • Measures heart rate and computes heart rate variability, heart age, and stress using ECG data
  • Easy development of more advanced heart-healthy index functions
  • Demo can also be shown using standard ECG leads
  • BLE module is used for smartphone/tablet IoT capability
  • Low overall BOM cost due to high level of integration
  • Powered from a single AAA battery

Resources

Hall-effect sensor features ratiometric analog output

TDK-MicronasHAL1880 is an entry-level Hall-effect sensor with ratiometric analog output, offering the best compromise related to sensor function vs system cost. It includes programmable clamping to extend error signaling capability and diagnostics associated with the state of various internal circuits (magnetic signal out of range). A one-pin programming interface enables the simultaneous programming of several devices through the output pin.

The HAL1880 is a programmable sensor: major characteristics like magnetic field range, sensitivity, offset, and the temperature coefficients are programmable in nonvolatile memory. The sensor is designed for industrial and automotive applications, is AEC-Q100 qualified, and operates in the junction temperature range from -40°C up to +170°C. It is available in the very small leaded package TO92UA.

Features

  • Overvoltage and reverse-voltage protection at VSUP pin
  • Measurement ranges from ±20 mT to ±160 mT
  • Short-circuit protected push-pull output
  • 5 V supply operation
  • Selectable sampling rate
  • TJ = -40°C to +170°C
  • AEC-Q100 qualified

Benefits

  • Programmable temperature characteristics for matching all common magnetic materials
  • Programming via output pin or supply voltage modulation
  • Operates with static and dynamic magnetic fields up to 5 kHz
  • Selectable clamping levels for diagnostic
  • EMC and ESD optimized design

more information: www.micronas.tdk.com

Compact NanoPi Neo3 SBC from FriendlyElec runs Linux on RK3328 and sells for $20+

The recently launched NanoPi Neo3 from FriendlyElec is a single board computer that runs Linux on a quad-core Cortex-A53 Rockchip RK3328 and has 1 or 2GB DDR4, Gigabit Ethernet port, USB 3.0, and a wide operating range of -20 0C to 70 0C. Like most of the earlier released Neo models from FriendlyElec, the new Neo3 SBC is a headless board with a compact footprint measuring 48 mm by 48 mm.

The company had earlier announced its Rockchip RK3399 based NanoPi Neo4 single-board computer that came with a lot of excitement as the first SBC to break RK3399 records for size and price, measuring 60 mm by 45 mm with a starting price of $45 and above.

While the NanoPi Neo3 offers a similar but less powerful RK3328 Rockchip SoC as the Neo4, the Neo3 offers both 1GB and 2GB of DDR4 unlike the 1GB of DDR3 available on the Neo4, and also starting at a $20 price tag compared to the $45 start price for the Neo4.

Some highlight features and specifications of the NanoPi Neo3 SBC include:

  • CPU – Rockchip RK3328 Quad Cortex-A53 cores clocked to 1.5 GHz with a Mali-450 MP2 GPU
  • 1 GB or 2 GB DDR4 RAM
  • Gigabit Ethernet port with unique MAC address
  • Bootable MicroSD slot
  • 26-pin GPIO header
  • 2x USB 2.0 headers and USB 3.0 host port
  • Serial debug header
  • Fan connector
  • Micro USB power for power input only (5V)
  • 2x LEDs
  • 1x user key
  • 5V/1A DC via GPIO or Type-C
  • Temperature Range: -20 – 70 0C
  • Operating Systems: FriendlyWrt and Ubuntu Core 18.04
  • Weight- 22 grams
  • Dimensions – 48 mm x 48 mm

The cheap price of the NanoPi Neo3 puts it in the same category has other open-spec, community-backed RK3328 SBCs like Firefly’s $35 ROC-RK3328-CC and Pine64’s $25 Rock64 SBC. However, even though the price of the Neo3 also goes up with an increase in RAM, the increase is not at an exponential rate like that of the other boards, as the 2Gb ram version of the Neo3 costs only $25.

All round, the Neo3 is a noteworthy SBC and the only shortcoming I feel it has is the lack of media interfaces and a few other features that one might expect from a hacker board.

As mentioned earlier, the NanoPi Neo3 SBC with 1GB RAM goes for $20, while the 2 GB RAM version is being sold for $25. Irrespective of the version you go with, you can also add accessories like; a heatsink case that goes for an additional cost of $2, optional power adapters, cables, and a USB-based LCD module for Pi.

More details on the SBC may be found on Friendly Elec’s Store and the product’s wiki page.

Meet the IoT-Ready, Esp32-based Maia Development Board

So far so good, only a few boards have been able to take advantage of the extra USB OTG interface offered by the ESP32-S2 processor released back in 2019, and one of them is the new Maia development board from Stetel Things.

As a quick reminder, the ESP32-S2 was unveiled with quite some incredible features like a primary 240 MHz Xtensa LX7 processor, a RISC-V based ultra-low power coprocessor (free and open-source), an in-built USB OTG interface, WiFi, a camera interface and several hardware security features amongst others.

The new Maia development board by the Italy-based Stetel Things offers an easy platform for makers to develop, play, and build USB and IoT devices. The board comes with an interesting layout that comprises of the Espressif ESP32-S2 microcontroller, a micro USB OTG port which sits next to a typical USB Type-C port for power and debugging, and a small area that can be used for prototyping.

The Maia development board is perfect for many ESP32-S2 projects from Portable Secure IoT applications and USB OTG devices, to RISC-V development with a second ULP.

Weighing 13.6 grams with dimensions of 5.9 cm by 4.9 cm, the Maia comes at a fair size for the features it embodies. Some of the key features and specifications include;

  • Espressif System ESP32-S2 single-core LX7 running @ 240 Mz with a RISC-V ultra-low power CPU
  • 320KB RAM and 4MB flash
  • 1x USB-C for programming and 1x micro USB OTG port for data (both ports can be used as power input)
  • 802.11b/g/n WiFi 4 with integrated PCB antenna
  • Programmable user button that can also function as the Power button
  • Boot button
  • RGB LED, Charging/power LED
  • RTC clock
  • 6-pin 2.54mm pitch JTAG header
  • 24-pin I/O header
  • Playground Prototyping area with 4x 18 through holes for user applications
  • 5V power supply through the USB Type-C or micro USB
  • 3.7V Li-Po battery with a 2-pin battery connector and an integrated Lithium battery charger IC

The Maia development board like most ESP32-based boards is quite flexible and can be programmed with Arduino, ESP-IDF SDK,  MicroPython, and ESP RainMaker.

Source code for firmware as well as instructions for the ESP RAINMAKER and DFU web flasher are all available on Stetel Things’ GitHub repository while the board itself can be purchased for $19.70 on Tindle.

A plastic enclosure kit with micro USB port, light guides for RGB and charging LED, power button and lithium battery is also in the works, but currently not available for sale.

Arduino Adds Four New Boards To The Ardunino Nano Family

Arduino has announced a new set of boards to the Ardunino Nano family. The boards were on display last weekend at Maker Faire Bay Area in San Mateo at the Arduino booth. Banzi also delivered a talk on “The State of Arduino” at the Faire’s Center Stage. The new family of Arduino Nano boards includes: the Arduino Nano Every, the Arduino Nano 33 IoT, the Arduino Nano 33 BLE, and the Arduino Nano 33 BLE Sense.

 

Arduino Nano Every 

The Arduino Nano Every features a ATmega4809, which is much more powerful Microchip than the ATmega328P found in the original Arduino Nano. The Ardunino Nano Every enables a Microchip ATSAMD11 Arm Cortex-M0+ processor for USB to serial communications. The Nano Every is Arduino’s 5V compatible board in the smallest available form factor: 45x18mm! The small footprint and low price, makes the Nano Every suitable for wearable inventions, low-cost robotics, electronic musical instruments, and general use to control smaller parts of a larger projects. The board comes in two options: with or without headers, allowing you to embed the Nano Every inside any kind of inventions, including wearables. The board comes with tessellated connectors and no components on the B-side. These features allow you to solder the board directly onto your own design, minimizing the height of your whole prototype.

Specification include:

  • Operating Voltage ; 5V
  • VIN min-MAX7; 21V
  • DC Current per I/O Pin ; 20 mA
  • DC Current for 3.3V Pin ; 50 mA
  • Clock Speed ; 20MHz
  • CPU Flash Memory ; 48KB (ATMega4809)
  • SRAM ; 6KB (ATMega4809)
  • EEPROM ; 256byte (ATMega4809)
  • PWM Pins ; 5 (D3, D5, D6, D9, D10)
  • UART ; 1
  • SPI ; 1
  • I2C ; 1
  • Analog Input Pins ; 8 (ADC 10 bit)
  • Analog Output Pins ; Only through PWM (no DAC)
  • External Interrupts ; all digital pins
  • LED_BUILTIN ; 13
  • USB ; Uses the ATSAMD11D14A (datasheet)
  • Length ; 45 mm
  • Width ; 18 mm
  • Weight ; 5 gr (with headers)

 

  Arduino Nano 33 IoT

The Arduino Nano 33 IoT is based on a low power Arm® Cortex®-M0 32-bit SAMD21. The WiFi and Bluetooth® connectivity is performed with a module from u-blox, the NINA-W10, a low power chipset operating in the 2.4GHz range. Secure communication is ensured through the Microchip® ECC608 crypto chip. Available also is a 6 axis IMU, which makes them board perfect for simple vibration alarm systems, pedometers, relative positioning of robots, etc.

Specifications include:

  • Microcontroller ; SAMD21 Cortex®-M0+ 32bit low power ARM MCU
  • Radio module ; u-blox NINA-W102
  • Secure Element ; ATECC608A
  • Operating Voltage ; 3.3V
  • Input Voltage (limit) ; 21V
  • DC Current per I/O Pin ; 7 mA
  • Clock Speed ; 48MHz
  • CPU Flash Memory ; 256KB
  • SRAM ; 32KB
  • EEPROM ; none
  • Digital Input / Output Pins ; 14
  • PWM Pins ; 11 (2, 3, 5, 6, 9, 10, 11, 12, 16 / A2, 17 / A3, 19 / A5)
  • UART ; 1
  • SPI ; 1
  • I2C ; 1
  • Analog Input Pins ; 8 (ADC 8/10/12 bit)
  • Analog Output Pins ; 1 (DAC 10 bit)
  • External Interrupts ; All digital pins (all analog pins can also be used as interrupt pins, but will have duplicated interrupt numbers)
  • LED_BUILTIN ; 13
  • USB ; Native in the SAMD21 Processor
  • IMU ; LSM6DS3
  • Length ; 45 mm
  • Width ; 18 mm
  • Weight ; 5 gr (with headers)

 

Arduino Nano 33 BLE

The Arduino Nano 33 BLE is a completely new board on a well-known form factor. It is equipped with an embedded 9 axis inertial sensor that makes the board ideal for wearable devices, but also for a large range of scientific experiments in the need of short-distance wireless communication. The Arduino Nano 33 BLE is different from the Nano Every and Nano 33 IoT. It is not based around a Microchip processor, rather it is equipped with a u-blox NINA B306 module, which is built on top of a Nordic nRF52840, an Arm Cortex-M4F. The Nano 33 BLE even has a 9-axis IMU on board. The board features a 32-bit ARM® Cortex™-M4 CPU running at 64 MHz. This will enable you to make larger programs than with the Arduino Uno (it has 1MB of program memory, 32 times bigger), and with a lot more variables (the RAM is 128 times bigger). The main processor includes other amazing features like Bluetooth® pairing via NFC and ultra low power consumption modes.

Specifications include:

  • Microcontroller ; nRF52840
  • Operating Voltage ; 3.3V
  • Input Voltage (limit) ; 21V
  • DC Current per I/O Pin ; 15 mA
  • Clock Speed ; 64MHz
  • CPU Flash Memory ; 1MB (nRF52840)
  • SRAM ; 256KB (nRF52840)
  • EEPROM ; none
  • Digital Input / Output Pins ; 14
  • PWM Pins ; all digital pins
  • UART ; 1
  • SPI ; 1
  • I2C ; 1
  • Analog Input Pins ; 8 (ADC 12 bit 200 ksamples)
  • Analog Output Pins ; Only through PWM (no DAC)
  • External Interrupts ; all digital pins
  • LED_BUILTIN ; 13
  • USB ; Native in the nRF52840 Processor
  • Length ; 45 mm
  • Width ; 18 mm
  • Weight ; 5 gr (with headers)

 

Arduino Nano 33 BLE Sense

The new Arduino Nano 33 BLE Sense is also built around the u-blox NINA B306 module, but is equipped with a much larger set of sensors in addition to the 9-axis IMU sensors for barometric pressure, humidity and temperature, light, gesture and proximity sensor, and embedded microphone. The board features a lot more powerful processor, the nRF52840 from Nordic Semiconductors, a 32-bit ARM® Cortex™-M4 CPU running at 64 MHz. This will enable you to make larger programs than with the Arduino Uno (it has 1MB of program memory, 32 times bigger), and with a lot more variables (the RAM is 128 times bigger). The main processor includes other amazing features like Bluetooth® pairing via NFC and ultra low power consumption modes. Application of the board includes environmental sensing, or human interface applications. “The main feature of this board, besides the impressive selection of sensors, is the possibility of running Edge Computing applications (AI) on it using TinyML. You can create your machine learning models using TensorFlow™ Lite and upload them to your board using the Arduino IDE.”

Specifications include:

  • Microcontroller ; nRF52840
  • Operating Voltage ; 3.3V
  • Input Voltage (limit) ; 21V
  • DC Current per I/O Pin ; 15 mA
  • Clock Speed ; 64MHz
  • CPU Flash Memory ; 1MB (nRF52840)
  • SRAM ; 256KB (nRF52840)
  • EEPROM ; none
  • Digital Input / Output Pins ; 14
  • PWM Pins ; all digital pins
  • UART ; 1
  • SPI ; 1
  • I2C ; 1
  • Analog Input Pins ; 8 (ADC 12 bit 200 ksamples)
  • Analog Output Pins ; Only through PWM (no DAC)
  • External Interrupts ; all digital pins
  • LED_BUILTIN ; 13
  • USB ; Native in the nRF52840 Processor
  • IMU ; LSM9DS1
  • Microphone ; MP34DT05
  • Gesture, light, proximity ; APDS9960
  • Barometric pressure ; LPS22HB
  • Temperature, humidity ; HTS221
  • Length ; 45 mm
  • Width ; 18 mm
  • Weight ; 5 gr (with headers)

About the new boards, Massimo Banzi, co-founder of Arduino says:

“The new Nanos are for those millions of makers who love using the Arduino IDE for its simplicity and open source aspect, but just want a great value, small and powerful board they can trust for their compact projects. With prices from as low as $9.90 for the Nano Every, this family fills that gap in the Arduino range, providing makers with the Arduino quality they deserve for those everyday projects.”

The four new boards are available for pre-order on the Arduino Store. The shipping of the boards is expected soon. The boards will come with and without headers, depending on your order. Without headers the Arduino Nano Every price at $9.90, the Nano 33 IoT prices at $18.00, the Nano 33 BLE prices at $19.00, and the Nano 33 BLE Sense prices at $29.50. The. boards with headers will cost an additional $2.

Build Your Own Scalar Network Analyzer to Test Frequency Response of Filters and Networks

Radio Frequency Network Analyzers is one important tool required for testing the frequency response of filters and networks, but as we all know, buying a regular RF test equipment can be quite the expenditure. This was why hobbyist Stephen Merrifield, who after seeing the increased need for more RF testing capabilities as a result of increased awareness of wireless applications, decided to build his own simple scalar network analyzer with just a few components.

As the name implies, a scalar network analyzer is a type of an RF network analyzer that measures only the amplitude properties of a device over a range of frequencies. It does so by outputting a sine wave sweeping over a particular bandwidth and then measuring the amplitude of every increased frequency. So when any device is connected to the scalar network analyzer, the device’s frequency response over that bandwidth is reflected by the amplitude of the sine wave at each frequency after passing through the device.

Merrifield was able to achieve this with his design using just a combination of an AD9850 DDS chip, a multi-channel ADC, AD8307 logarithmic amplifier chip, Raspberry Pi, and general I/O interface. The DDS chip outputs the sweeping sine wave and sends it to the AD8307 log amplifier that conditions the input signal into the SNA before passing it on to the ADC for digitizing. The output of the DDS is again conditioned by another AD8307 after which it is sent as output to a second channel of the ADC to compensate for variations on the DDS’s output that could arise as a result of loads of devices being tested. The digital output from the ADC is sent via an I2C to a GPIO header.

Speaking about the flexibility of the design, Stephen mentioned that the:

“pinout matches a Raspberry Pi, but any micro-controller may be used to program the DDS and read the ADC. The analog bandwidth has been deliberately set at 30MHz. There is approximately 0.02dB variance between 1kHz and 30MHz. The noise floor averages around -69dB with shielding fitted.”

The project is entirely open-source and the firmware for the Raspberry Pi was written in C to allow for easy porting across different platforms.

Stephens Hackaday Project Log can be found here. It contains the schematic and every other resource you might need to build your own version of the scalar network analyzer.

Small edge AI board monitors assets

Industrial automation company Flicq has introduced its 2nd generation Edge AI smart sensor board, for Industrial Internet of Things (IIoT) with the launch of SmartEdge.

Claiming to be the world’s smallest Edge AI smart sensor board, SmartEdge delivers plug-and-play asset monitoring capability that companies can deploy anywhere. Industries are moving increasingly toward remote monitoring of equipment and they care about the flexibility of deploying systems where they want to as much as they do want visibility about the condition of their assets, with low latency and actionable insights.

With performance typically only available from cloud-based systems, the 2nd Gen Flicq SmartEdge delivers three-year battery-life, deep analytics and wireless connectivity. Industries continue to depend on real time insights to improve their operating efficiency and Flicq is pushing the edge computing performance envelope to achieve lower latency and deliver the best analytics capabilities in an extremely small form-factor.

www.flicq.com

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