devkit News - Page 7 of 60 - CNX Software

April 19, 2023 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

TI launches Simplelink CC3300/CC3301 WiFi 6, Bluetooth 5.3 LE companion IC for IoT applications

BP-CC3301 SimpleLink CC3301 WiFi 6 BLE BoosterPack plug in module

Texas Instruments has unveiled the SimpleLink CC33xx family of Wi-Fi 6 companion IC with optional Bluetooth 5.3 Low Energy designed to be connected to a microcontroller (MCU) or a microprocessor (MPU) for secure and power-efficient IoT devices, The SimpleLink CC3000 supports 2.4 GHz WiFi 6, and interfaces over SDIO, SPI, and/or UART to the host system, while the SimpleLink CC3301 also adds support for Bluetooth 5.3 LE. Both chips can operate in high-temperature environments up to 105ºC. Texas Instruments CC3300/CC3301 specifications: Wireless 2.4 GHz WiFi 6 (802.11ax) up to 50 Mbps; Support for TWT and OFDMA, multirole (Access Point and Station) CC3301 only – Bluetooth 5.3 Low Energy up to 2 Mbps WiFi and Bluetooth COEX Host interface – 4-bit SDIO or SPI, and UART to external MCU or MPU Security – FW authentication and anti-rollback protection, WPA2/WPA3, Secured host interface Pacakge – 40-pin QFN package (5×5 mm) Temperature range […]

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 […]

March 22, 2023March 25, 2023 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

$499 NVIDIA Jetson Orin Nano Developer Kit delivers up to 80x Jetson Nano Devkit performance

NVIDIA Jetson Orin Nano Developer Kit is an upgrade to the popular Jetson Nano Developer Kit that delivers 80 times the performance, up to 50 times the performance per watt, and gives the developers the ability to design entry-level AI-powered robots, smart drones, intelligent vision systems, and more. The Jetson Orin Nano has a similar form factor as the original Jetson Nano, but is fitted with a Jetson Orin Nano 8GB module with up to 40 TOPS AI performance, and is equipped with a DisplayPort video output, USB 3.2 Gen 2 ports, two M.2 Key M sockets for SSDs, Gigabit Ethernet, a pre-installed Wi-Fi module, and connectors for cameras. NVIDIA Jetson Orin Nano Developer Kit specifications (compared to Jetson Nano Developer Kit-B01) The new developer kit is supported by the Ubuntu 20.04-based NVIDIA JetPack 5.1.1 SDK, as well as application-specific frameworks such as NVIDIA Isaac ROS and DeepStream, which are […]

March 21, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Qualcomm Robotics RB1 and RB2 development kits launched for $199 and up

We quickly mentioned the Qualcomm Robotics RB1 and RB2 development kits in our post about Lantronix Open-Q 2210RB and 4210RB SiPs mostly to complain about the lack of information at the time. But things have changed the Qualcomm Robotics RB1 and RB2 devkits for cheaper, smaller Linux-powered robots with lower power consumption are now available, and we have more details with three options: Core Kit, Vision Kit, and Full Kit. So let’s have a closer look. All kits are based on the Qualcomm Robotics RB1/RB2 Core Kit with the following (preliminary) specifications: System-on-module RB1 – Thundercomm TurboX C2210 SoC – Qualcomm QRB2210 CPU – Quad-core Cortex-A53 processor at up to 2.0 GHz GPU – Adreno 702 GPU at 845 MHz with support for OpenGL ES 3.1, Vulkan 1.1, OpenCL 2.0 Hexagon QDSP6 v66 DSP 1080p 30 fps encode / 1080p 30fps decode System Memory – 1GB or 2GB LPDDR4 Storage […]

March 20, 2023March 22, 2023 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Texas Instruments unveils AM62A, AM68A and AM69A Arm Cortex Vision processors and devkits

Texas Instruments AM62A, AM8, and AM69A Arm Cortex-A53 or Cortex-A72 Vision processors come with 2 to 8 CPU cores and deep learning accelerators delivering from 1 TOPS to 32 TOPS for low-power vision and artificial intelligence (AI) processing in applications such as video doorbells, machine vision, and autonomous mobile robots. Three families and a total of 6 parts are available: AM62A3, AM62A3-Q1, AM62A7, and AM62A7-Q1 single to quad-core Cortex-A53 processors support one to two cameras at less than 2W in applications such as video doorbells and smart retail systems. Equipped with a 1TOPS vision processor, the AM62A3 is the cheapest model of the family going for US$12 in 1,000-unit quantities. AM68A dual-core Cortex-A72 processor can handle one to eight cameras in applications like machine vision, with up to 8 TOPS of AI processing for video analytics. AM69A octa-core Cortex-A72 SoC supports up to 12 cameras and achieves up to 32 […]

March 16, 2023 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Texas Instruments MSPM0 Arm Cortex-M0+ microcontrollers sell for 39 cents and up

Texas Instruments has just introduced its low-cost MSPM0 Arm Cortex-M0+ microcontroller portfolio comprised of the MSPM0L series with a 32 MHz CPU, up to 64 kB of flash, and 4 kB SRAM, and the MSPM0G series with an 80 MHz CPU, up to 128 kB of flash and 32 kB SRAM. Texas Instruments MSPM0L MSPM0L1306 key features: CPU – Arm 32-bit Cortex-M0+ core @ up to 32 MHz Memory – Up to 4KB SRAM Storage – Up to 64KB flash Digital peripherals 3-channel DMA controller 4x 16-bit general-purpose timers, each with two capture/compare registers supporting low-power operation in STANDBY mode, supporting a total of 8 PWM channels Windowed watchdog timer Analog peripherals 12-bit 1.45-Msps analog-to-digital converter (ADC) with up to 10 total external channels Configurable 1.4-V or 2.5-V internal ADC voltage reference (VREF) 2x zero-drift, zero-crossover chopper operational amplifiers (OPA) 1x general-purpose amplifier (GPAMP) 1x high-speed comparator (COMP) with 8-bit […]

March 14, 2023March 21, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Lantronix Open-Q 2210RB and 4210RB SiPs for robotics power RB1/RB2 development kit

Open-Q RB1 RB2 Development Kit with Qualcomm QRB2210 or QRB4210

What comes after Qualcomm Robotics RB3, RB5, and RB6 platforms? Apparently, it’s Qualcomm Robotics RB1 and RB2 platforms powered by Qualcomm QRB2210 and Qualcomm QRB4210 processors respectively and optimized for cheaper, smaller robots with lower power consumption. But Qualcomm is one of the lamest companies known to man, so they did not include any photos when announcing the Robotics RB1 and RB2 platforms, so I’ll focus this post on Lantronix Open-Q 2210RB and 4210RB system-in-packages (SiP) based on the same processors, as well as the Open-Q RB1/RB2 development kit. Open-Q 2210RB and 4210RB SiP The new system-in-packages are very similar to the earlier Open-Q 2290CS and 4290CS SIPs for industrial IoT and machine vision applications, with the only difference being the Qualcomm processor used, so I invite you to read the earlier post for the full details, and I’ll just provide summaries here. Open-Q 2210RB key features: SoC – Qualcomm […]

March 12, 2023March 12, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Hailo-15 quad-core AI Vision processor delivers up to 20 TOPS for Smart Cameras

Hailo-15 is a family of AI Vision processors for smart cameras that deliver up to 20 TOPS of AI inference and are able to process deep-learning AI applications such as video analytics. The Hailo-15 appears to build upon the earlier Hailo-8 AI processor with up to 26 TOPS and more limited computer vision capability. The new AI vision processor integrates a quad-core Cortex-A53 CPU sub-system, can handle 4K video streams, and features “advanced computer vision engines”. So the main differences are that the Hailo-15 is a complete SoC / standalone processor and is specifically designed for AI cameras. Hailo-15 highlights: CPU – Quad-core Arm Cortex-A53 processor up to 1.3 GHz or 1.1 GHz (Hailo-15L) DSP – Vector DSP, 256 MACs @ 700 MHz supports up to 350 GOPs AI accelerator / NN core sub-system with dataflow architecture Hailo-15H – Up to 20 TOPS Hailo-15M – Up to 11 TOPS Hailo-15L […]