Renesas MCU Category - Page 4 of 11 - CNX Software

May 17, 2023May 18, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

$25 Renesas “HMI Board” features RA6M3 microcontroller for RT-Thread & LVGL development

The Renesas HMI board is a Renesas RA6M3 Cortex-M4F development board with a 4.3-inch LCD developed in collaboration with the teams behind the RT-Thread RTOS project and LVGL open-source graphics library. Besides a color display for HMI (Human Machine Interface), the board also features a microSD card for data storage, Ethernet and WiFi connectivity, Arduino headers and PMOD connectors for expansion, a microphone and a speaker, a CAN bus terminal block, and two USB-C ports for debugging and power. Renesas HMI board specifications: MCU – Renesas RA6M3 (R7FA6M3AH3CFB) Arm Cortex-M4F microcontroller @ 120MHz with 2MB Flash, 640KB RAM, TFT controller, 2D accelerator, and JPEG decoder. Storage – MicroSD card slot Display – 4.3-inch LCD (RGB 888) Audio – Microphone and speaker Networking Low-profile 10/100M Ethernet RJ45 port RW007 SPI WiFi module by Shanghai Ruiside Electronic Technology USB – 2x USB Type-C ports Serial – 2-pin CAN bus terminal block Expansion […]

April 5, 2023April 5, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Renesas RZ/T2L Arm Cortex-R52 microprocessor embeds EtherCAT controller

Renesas RZ/TL2 Cortex-R52 microprocessor

Renesas RZ/T2L is a cost-optimized single-core Arm Cortex-R52 microprocessor (MPU) with an EtherCAT controller based on the same architecture as the higher-end Renesas RZ/T2M dual-core Cortex-R52 processor introduced last year, but at about half the size. The new MPU enables high-speed and accurate real-time processing performance required for AC servo drives, inverters, industrial robots, collaborative robots, etc.. used in factory automation (FA), medical equipment, building automation (BA), and other sectors and applications where EtherCAT is being adopted. Renesas RZ/T2L key features and specifications: CPU – Arm Cortex-R52 clocked at up to 800MHz with 16KB L1 I/D cache, 512KB ATCM, 64KB BTCM Memory – 1MB RAM with ECC Trigonometric function accelerator Ethernet EtherCAT slave controller: 3x ports 1x Ethernet MAC Motor control 2-channel encoder interface with support for A-format, EnDat2.2, BiSS-C, HIPERFACE DSL, FA-CODER Functional safety (FuSa) software up to SIL3 Motor current loop < 1µs 3-phase complementary PWM output for […]

April 3, 2023April 3, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Renesas RZ/G2L CPU module targets HMI and IoT gateway applications

MYIR MYC-YG2LX is Renesas RZ/G2L CPU module with up to 4GB DDR4, 32GB eMMC flash, and various I/Os such as gigabit Ethernet, USB 2.0, camera and display interfaces accessible through 222 castellated holes, and designed for advanced HMI, IoT edge gateways, and other embedded devices with video capabilities. As a reminder, the Renesas RZ/G2L microprocessor comes with up to two Arm Cortex-A55 cores clocked at 1.2 GHz, one 200 MHz Cortex-M33 real-time core, a Mali-G31 GPU for 3D graphics interfaces, and a VPU capable of H.264 encoding/decoding. The company also offers the MYD-YG2LX development board based on the 45x43mm MYC-YG2LX CPU module with easy access to its interfaces. MYIR MYC-YG2LX Renesas RZ/G2L CPU module MYC-YG2LX module specifications: SoC – Renesas RZ/G2L (R9A07G044L23GBG) dual-core Cortex-A55 processor with Cortex-M33 core @ 200 Mhz, Arm Mali-G31 GPU, H.264 hardware video decoding/encoding System Memory – 1 or 2GB DDR4 (option for up to 4GB) […]

March 27, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Tiny RASynBoard combines Renesas RA6M4 MCU with Syntiant NDP120 ML accelerator, WiFi & BLE module, and some sensors

Avnet RASynBoard is a tiny board that packs a lot of features in a 30x25mm form factor with a Renesas RA6M4 Cortex-M33 microcontroller, a Syntiant NDP120 Neural Decision Processor, a Renesas (Previously Dialog Semi) DA16600 Wi-Fi 4 & Bluetooth 5.1 combo module, and a 6-axis inertial measurement unit (IMU) and digital microphone from TDK. The RASynBoard is offered as part of an EVK with the Core Board described above plus an IO board with headers, a Pmod connector, a MikroE Shuttle Click header, a microSD card slot for storage, and a built-in debugger, plus two buttons and an RGB LED. RASynBoard specifications: Main microcontroller – Renesas RA6M4 Arm Cortex-M33 microcontroller @ 200 MHz with 1 MB flash memory, 256 KB SRAM ML accelerator – Syntiant NDP120 Neural Engine based on Syntiant Core 2 Deep Neural Network, Arm Cortex M0 and HiFi 3 DSP Wireless module – Renesas DA16600 2.4 […]

March 26, 2023March 26, 2023 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

Arduino UNO R4 Renesas RA4M1 32-bit maker board offered with optional ESP32-S3 WiFI & BLE module

Arduino have launched an upgrade to their 8-bit Arduino UNO R3 board with the Arduino UNO R4 featuring a 48 MHz Renesas RA4M1 Arm Cortex-M4F 32-bit microcontroller, and an optional ESP32-S3 module for WiFi 4 and Bluetooth 5.0 connectivity. The new Arduino UNO R4 offered improved performance and greater resources since the MCU is clocked three times faster than the 8bit AVR MCU found in the UNO R3, the board gets sixteen times more RAM (32KB vs 2KB to 32kB) and eight times more flash memory (256KB vs 32kB). The USB Type-B device port has been upgraded to a more modern USB Type-C port and the UNO R4 can take up to 24V supply voltage. Arduino UNO R4 (preliminary) specifications: Microcontroller – Renesas RA4M1 Arm Cortex-M4F MCU @ 48 MHz with 32KB SRAM, 256KB flash. 8KB dataflash Wireless (Arduino UNO R4 WiFi only) – ESP32-S3-MINI-1 module based on ESP32-S3 dual-core […]

March 16, 2023 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

Renesas introduces 100 MHz RA4E2 and 200 MHz RA6E2 Arm Cortex-M33 MCUs for wearables, sensors, appliances

Renesas Electronics has added two new groups to its 32-bit RA family of microcontrollers (MCUs) with the 100 MHz RA4E2 and 200 MHz RA6E2 Arm Cortex-M33 microcontrollers designed for “high-performance applications” in small packages such as sensing, gaming, wearables, and appliances. The new microcontrollers are equipped with 40 KB SRAM, 128 KB or 256 KB flash, and integrate various on-chip interfaces such as CAN FD, USB, QSPI, SSI, and I3C interfaces to offer an easy upgrade path for products based on other members of the Renesas RA Family. Renesas RA4E2 MCU group Both the RA4E2 and the RA6E2 are the most cost-effective microcontroller groups of the RA family with integrated CAN FD, with the RA4E2 group especially well-suited to cost-sensitive applications and other systems requiring relatively high performance, low power consumption, and/or small package size. RA4E2 key features: CPU – Arm Cortex-M33 core with TrustZone @ up to 100 MHz […]

March 14, 2023March 14, 2023 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

ASUS unveils Tinker V RISC-V single board computer, Tinker board 3 SBC with Rockchip RK3568 SoC

ASUS IoT has added two new members to the Tinker board family with the Tinker V and Tinker Board 3 single board computers powered by respectively Renesas RZ/Five single-core RISC-V SoC and Rockchip RK3568 quad-core Arm Cortex-A55 processor. ASUS Tinker V RISC-V SBC Tinker V specifications: SoC – Renesas RZ/Five single core AndesCore AX45MP RISC-V processor clocked at 1.0 GHz System Memory – 1GB DDR4 Storage – MicroSD card slot, optional 16GB eMMC flash, optional SPI flash Networking – 2x Gigabit Ethernet RJ45 ports USB – 1x Micro USB port, 1x Micro USB (OTG) port Serial – 2x CAN Bus via 6-pin terminal block 2x COM RS232 via 5-pin terminal block Expansion – 20-pin GPIO header with up to 2x UART, 2x I2C, 4x GPIO, 2x ADC, 1x SPI, 3.3V, and GND Debugging – JTAG pin header Power Supply – 10 to 24V DC via 5.5/2.5 mm DC barrel jack […]

March 13, 2023March 12, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Aspinity AB2 AML100 Arduino Shield supports ultra-low-power analog machine learning

Aspinity AB2 AML100 analog machine learning Arduino Shield

Aspinity AB2 AML100 is an Arduino Shield based on the company’s AML100 analog machine learning processor that reduces power consumption by 95 percent compared to equivalent digital ML processors, and the shield works with Renesas Quick-Connect IoT platform or other development platforms with Arduino Uno Rev3 headers. The AML100 analog machine learning processor is said to consume just 15µA for sensor interfacing, signal processing, and decision-making and operates completely within the analog domain offloading most of the work from the microcontroller side that can stay its lowest power state until an event/anomaly is detected. Aspinity AB2 AML100 Arduino Shield specifications: ML chip – Aspinity AML100 analog machine learning chip Software programmable analogML core with an array of configurable analog blocks (CABs) with non-volatile memory and analog signal processing Processes natively analog data Near-zero power for inference and events detection Consumes <20µA when always-sensing Reduces analog data by 100x Supports up […]