smart city

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 5 Comments on Alif Ensemble E4, E6, and E8 Cortex-M55/A32 MCUs and MPUs feature Ethos-U85 NPU for small language models (SLM)

Alif Ensemble E4, E6, and E8 Cortex-M55/A32 MCUs and MPUs feature Ethos-U85 NPU for small language models (SLM)

Alif Ensemble E4 E6 E8 Ethos U85 MCU small language models

Alif Semiconductor unveiled the Ensemble E4, E6, and E8 dual-core Cortex-M55 Edge AI microcontrollers and fusion processors, all equipped with Arm Ethos-U85 with the ability to run small language models (SLM) on-device while consuming just 36mW of power on the E4 SKU. Besides the ability to handle generative AI workloads, the new microcontrollers also integrate two power-efficient Ethos-U55 NPUs for AI vision. They can perform power-efficient object detection in less than 2ms and image classification in less than 8ms. Other highlights include support for up to two MIPI CSI image sensors, a fully hardware-accelerated image signal processor (ISP) pipeline operating at up to 60 FPS at 2MP resolution, and a new wide memory subsystem to enable an inferencing speed of well under a millisecond. Alif Ensemble E4 Ensemble E4 specifications: CPU High-Performance Arm Cortex-M55 core @ up to 400 MHz High-Efficiency Arm Cortex-M55 core @ up to 160 MHz GPU […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on ASRock Industrial unveils DSC-NV003-WT NVIDIA Jetson AGX Orin Developer Kit

ASRock Industrial unveils DSC-NV003-WT NVIDIA Jetson AGX Orin Developer Kit

ASRock DSC-NV003-WT Jetson AGX Orin Developer kit

ASRock Industrial DSC-NV003-WT is an NVIDIA Jetson AGX Orin Developer Kit designed for edge AI, robotics, drones, Smart Cities, and advanced industrial applications with a wide operating temperature range (-25 to 50°C) and up to 275 TOPS of AI processing power. The solution is offered with NVIDIA Jetson AGX Orin Series (Industrial/64GB/32GB), supports up to four 4-lane MIPI or GMSLII cameras, and 12 PoE ports for computer vision applications. It also includes two PCIe Gen4 x8 slots, one M.2 Key M/B/E expansion slot for storage, 5G/4G LTE cellular, and Wi-Fi connectivity. ASRock Industrial DSC-NV003-WT specifications: System-on-Module (one or the other) NVIDIA Jetson AGX Orin Industrial (JAOi) SoC – Ampere GPU + Arm Cortex-A78AE CPU System Memory – 64GB 256-bit LPDDR5 (+ECC) Storage – 64GB eMMC 5.1 flash NVIDIA Jetson AGX Orin 64GB (JAO 64GB) SoC – Ampere GPU + Arm Cortex-A78AE CPU System Memory – 64GB 256-bit LPDDR5 Storage – […]

Posted on by Debashis Das - No Comments on ADLINK SBC35-MTL – A 3.5-inch Intel Core Ultra SBC with up to 96GB DDR5, SBC-FM I/O expansion

ADLINK SBC35-MTL – A 3.5-inch Intel Core Ultra SBC with up to 96GB DDR5, SBC-FM I/O expansion

ADLINK SBC35 MTL 3.5 Inch SBC

ADLINK SBC35-MTL 3.5-inch SBC for high-performance edge AI applications is built around Intel Core Ultra (Meteor Lake) SoCs with integrated AI Boost NPU, and is designed to run real-time AI applications in a small footprint. The SBC supports up to 96GB DDR5 memory, 4K quad-display output (HDMI, DP, eDP, USB-C), dual 2.5GbE, and MIPI-CSI for AI cameras. Storage options include SATA and NVMe via M.2, with expansion through M.2 B-Key and E-Key. There is also ADLINK’s SBC-FM connector for additional I/O options. Other features include TPM 2.0, USB/serial I/O, wide 12–24V input, and a compact fanless design rated for 0°C to 60°C operation. ADLINK SBC35-MTL specifications: Meteor Lake SoC – Intel Core Ultra with either 15W (MTL-U) or 28W (MTL-H) TDP options 15W (MTL-U) Intel Core Ultra 5 125U 12-core (2P+8E+2LPE) processor @ 1.3 / 4.3 GHz with 12MB cache, Intel 4Xe LPG graphics @ 1.85 GHz, Intel AI Boost […]

Posted on by Debashis Das - 1 Comment on RAKwireless Raspberry Pi CM4-based industrial gateway supports both MIOTY and LoRaWAN

RAKwireless Raspberry Pi CM4-based industrial gateway supports both MIOTY and LoRaWAN

WisGate Connect for MIOTY LoRaWAN gateway

The WisGate Connect for MIOTY is an industrial-grade hybrid IoT gateway with support for both MIOTY and LoRaWAN protocols. Built around the RAK7391 carrier board for Raspberry Pi CM4, it is designed for long-range IoT applications, including intelligent street lighting, waste management, environmental monitoring, and traffic flow control. In addition to dual-protocol (MIOTY and LoRaWAN) support, it features USB 2.0, USB 3.0, and a USB-C port for flashing, an HDMI output, and a UART header for debugging. Backhaul options include Wi-Fi, Ethernet, or an optional 4G LTE module. The gateway can be powered in two ways: a wide input voltage DC jack or terminal block, or optional PoE+. We first wrote about the MIOTY Standard back in April 2020. After that, in September 2021, we saw Silicon Labs introduce EFR32FG23 (FG23) and EFR32ZG23 (ZG23) SoCs with MIOTY support, but it’s been a while since we’ve covered products built around this standard. […]

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