smart city

Posted on by Debashis Das - No Comments on 2-channel GMSL camera adapter board supports Raspberry Pi 5 and NVIDIA Jetson Orin Nano/NX

2-channel GMSL camera adapter board supports Raspberry Pi 5 and NVIDIA Jetson Orin Nano/NX

Waveshare 2 Ch GMSL Camera Adapter Board

After phasing out the earlier MAX9296-GMSL-Camera-Board, Waveshare has now released the MAX9296-GMSL-DESER-MODULE 2-channel GMSL camera adapter board designed for high-speed, low-latency video transmission on the Raspberry Pi 5 and NVIDIA Jetson Orin Nano/NX developer kits. The adapter is built around the MAX9296A deserializer, and supports two MATE-AX FAKRA Z coaxial inputs for long-distance video transmission and two 22-pin CSI outputs for connection to the host. It supports both GMSL1 and GMSL2 cameras (such as the Sony ISX031) via software configuration and is compatible with serializers like the MAX9295, MAX96717, and MAX96705. These features make it suitable for applications such as robotics, autonomous driving, surround-view systems, and more. Waveshare MAX9296-GMSL-DESER-MODULE specifications: Compatible boards – Raspberry Pi 5, Jetson Orin Nano, Jetson Orin NX developer kits Deserializer IC – Maxim (ADI) MAX9296A GMSL Inputs – Supports two GMSL2 cameras(ISX031) via MATE-AX FAKRA Z connectors (backward compatible with GMSL1) Output Interfaces – 2x 22-pin […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on STM32MP21 Arm Cortex-A35/M33 MPU targets cost-effective applications in smart factories, homes, and cities

STM32MP21 Arm Cortex-A35/M33 MPU targets cost-effective applications in smart factories, homes, and cities

STM32MP215F-DK Discovery Kit

STMicroelectronics’ STM32MP21 microprocessor family combines a 1.5 GHz 64-bit Arm Cortex-A35 application core with a 300 MHz 32-bit Arm Cortex-M33 core for real-time processing. It is designed for “cost-aware” edge applications in smart factories, smart homes, and smart cities. The new STM32MP21 is a cost-optimized version of the earlier STM32MP23 and STM32MP25 that does without an AI accelerator (yes, those still exist!), GPU, H.264 decoder and encoder, or PCIe Gen2 / USB 3.0 interfaces. It still offers a MIPI CSI-2 camera interface, two Gigabit Ethernet interfaces with Time-Sensitive Networking (TSN), and strong security targeting SESIP Level 3 and PCI pre-certification. STM32MP21 specifications: CPU – Arm Cortex-A35 core running at up to 1.2 or 1.5 GHz with 128KB L2 cache Real-time MCU – Arm Cortex-M33 core with FPU/MPU running at up to 300 MHz GPU – None VPU – None AI accelerator – None Memory 456 KB SRAM 256KB AXI SYSRAM […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on AMD Spartan UltraScale+ SU35P FPGA evaluation kit supports Raspberry Pi, Arduino, Mikrobus, and Pmod expansion

AMD Spartan UltraScale+ SU35P FPGA evaluation kit supports Raspberry Pi, Arduino, Mikrobus, and Pmod expansion

AMD SCU35 evaluation kit

AMD’s SCU35 Evaluation Kit is an affordable ($229) development board powered by the AMD Spartan UltraScale+ SU35P FPGA device, which targets low-power industrial, medical, and data center applications requiring I/O expansion and board management capabilities. Designed for headless applications, the board features a 10/100 Mbps Ethernet port and a USB-C port for power, as well as plenty of headers and connectors compatible with off-the-shelf expansion boards or modules, including Arduino UNO headers, two 40-pin Raspberry Pi GPIO headers, two Mikrobus headers, four Pmod connectors, and an HSIO board-to-board connector.   AMD SCU35 evaluation kit specifications: FPGA – AMD Spartan Ultrascale+ SU35P (XCSU35P-2SBVB625E) 36K Logic Cells 304 Max Total I/O• Board Management Controller Memory – 1.93 Mb on-chip memory Memory – 64 Mbit HyperRAM Storage 128 Mbit QSPI flash 64 Kbit EEPROM Networking – 10/100Mbps Ethernet RJ45 port Sensor – 3-axis linear accelerometer Expansion Arduino UNO headers 2x 40-pin Raspberry Pi […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Zigbee 4.0 introduces ”Suzi” Sub-GHz connectivity and security enhancements

Zigbee 4.0 introduces ”Suzi” Sub-GHz connectivity and security enhancements

ZIgbee 4.0 Suzi sub-GHz Zigbee

The Connectivity Standards Alliance (CSA) has just announced the release of Zigbee 4.0, integrating security and interoperability improvements, as well as the Suzi Zigbee’s Sub-GHz feature operating in the 800 MHz (Europe) or 900 MHz (North America) band for longer range and lower interference compared to the traditional 2.4 GHz band. Highlights of Zigbee 4.0 release: Simplified certification processes Enhanced information exchange for smart home solutions. Formalized Parent Selection, Unique Link Key Monitoring, and Trust Center Connectivity improve network resilience Standardized network-level retries, more reliable data polling for sleepy end devices, and expanded use of APS acknowledgements increase overall network performance and reduce message loss. Sleepy-to-sleepy communication using Coordinated Sample Listening (CSL) allows direct, low-power exchanges between devices, optimizing energy and further extending battery life Security updates aligned with evolving international security standards Dynamic Link Key, Device Interview, and Smart Energy Authentication Level Control for stronger device authentication, selective communication […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on CamThink NeoEyes NE301 – An ultra-low-power, STM32N6-based Edge AI camera

CamThink NeoEyes NE301 – An ultra-low-power, STM32N6-based Edge AI camera

CamThink NeoEyes 301

CamThink NeoEyes NE301 is an ultra-low-power Edge AI camera built around the STM32N6 Arm Cortex-M55 MCU with Neural-ART NPU that “offers significantly enhanced features and performance” compared to the company’s earlier ESP32-S3-based NeoEyes NE101. The camera ships with a 4MP MIPI CSI camera sensor by default, but USB camera sensors are also supported. It also features 64MB PSRAM, 128MB hyperflash, WiFi 6 and Bluetooth 5.4 wireless connectivity, optional support for a 4G LTE module (global or US), audio wafers, USB-C and UART debug, a 16-pin GPIO header, and support for either USB, battery, or PoE power. CamThink NeoEyes 301 specifications: MCU – STMicro STM32N6 MCU Core – Arm 32-bit Cortex-M55 CPU @ up to 800MHz with Arm Helium and Arm MVE GPU – Neo-Chrom 2.5D GPU, Chrom-ART Accelerator (DMA2D) NPU – ST Neural-ART accelerator @ 1 GHz, up to 600 GOPS; 3 TOPS/W enabling fanless operation BPU – Hardware-accelerated H.264 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on ADLINK OSM-IMX95 – An NXP i.MX 95 OSM Size-L system-on-module for IoT and industrial applications

ADLINK OSM-IMX95 – An NXP i.MX 95 OSM Size-L system-on-module for IoT and industrial applications

ADLINK OSM-IMX95

ADLINK OSM-IMX95 is an OSM Size-L solder-on system-on-module powered by an NXP i.MX 95 hexa-core Arm Cortex-A55 SoC with an up to 2 TOPS eIQ Neutron NPU/AI accelerator. It follows the OSM-IMX93 OSM Size-L module based on NXP i.MX 93 SoC, but features a more powerful SoC, up to 16GB LPDDR4L RAM, up to 256GB eMMC flash, and high-speed interfaces like USB 3.0 and PCIe Gen3. The new NXP i.MX 95 OSM module is designed for Smart Home, Smart Building, Smart City, medical, and Industry 4.0 applications. ADLINK OSM-IMX95: SoC – NXP i.MX 95 CPU Up to 6x Arm Cortex-A55 cores @ up to 1.8 GHz Real-time co-processors – Arm Cortex-M7 @ 800MHz and Cortex-M33 @ 250MHz 2D/3D Graphics Acceleration Arm Mali-G310 3D GPU with OpenGL ES 3.2, Vulkan 1.2, OpenCL 3.0 2D GPU Video Encode / Decode – 4Kp30 H.265 and H.264 AI/ML – 2 TOPS eIQ Neutron NPU System […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Silicon Labs FG23L low-cost Arm Cortex-M33 SoC targets proprietary Sub-GHz IoT applications

Silicon Labs FG23L low-cost Arm Cortex-M33 SoC targets proprietary Sub-GHz IoT applications

Silicon Labs FG23L

Silicon Labs EFR32FG23L, or FG23L for short, is an ultra-low power, Sub-GHz wireless Arm Cortex-M33 SoC, which the company claims offers the best price/performance ratio for Sub-GHz IoT applications such as home and industrial automation, key fobs, and smart city sensor nodes. It’s a cost-down version of the PSA Certified Level 3 FG23 SoC equipped with less memory (32KB vs 64KB) and storage (128KB vs 512KB), less advanced security features, no segment LCD interface, and fewer GPIOs. The new FG23L is only designed for proprietary protocols, while the FG23 supports Amazon Sidewalk, Wi-SUN, Wireless M-Bus (WM-Bus), and Wirepas. Silicon Labs FG23L specifications: MCU core – Arm Cortex-M33 @ 78 MHz with DSP instruction and floating-point unit Memory – 32 kB RAM data memory Storage – 128 kB flash program memory Sub-GHz radio Tx power up to +20 dBm Rx sensitivity -98.6 dBm @ 400 kbps 920 MHz 4-GFSK -125.8 dBm […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on GIGAIPC 3.5-inch Intel Core Ultra Meteor Lake SBCs target smart parking, medical devices, and smart retail solutions

GIGAIPC 3.5-inch Intel Core Ultra Meteor Lake SBCs target smart parking, medical devices, and smart retail solutions

GIGAIPC QBiP-155UB QBiP-125UB 3.5-inch SBC

GIGAIPC QBiP-155UB and QBiP-125UB 3.5-inch Intel Core Ultra Meteor Lake SBCs are designed for power-constrained edge applications such as smart parking systems, precision medical devices, and intelligent retail solutions. They are powered by either an Intel Core Ultra 5 125H or Core Ultra 7 155H SoC, support up to 96GB DDR5, SATA and NVMe storage, three video interfaces through two HDMI ports and an LVDS connector, and feature two 2.5GbE ports, an M.2 E-Key socket for WiFi and Bluetooth, a mini PCIe socket for 4G LTE or 5G cellular connectivity, and a few USB and serial interfaces. GIGAIPC QBiP-155UB/QBiP-125UB specifications: Meteor Lake SoC (one or the other) Intel Core Ultra 5 125U 12-core/14-thread (2P+8E+2LPE) processor @ 1.3 / 4.3 GHz with 12MB cache, 4x Xe-core Intel graphics @ 1.85 GHz, Intel AI Boost NPU; PBP: 15W Intel Core Ultra 7 155U 12-core/14-thread (2P+8E+2LPE) processor @ 1.7 / 4.8 GHz with […]

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