Seeed Studio Wio Tracker 1110 Dev Kit supports Meshtastic for off-grid communication

Wio Tracker 1110 Dev Kit for Meshtastic

The Seeed Studio Wio Tracker 1110 is a dev kit designed to work with the Meshtastic network. The board is built around a Nordic nRF52840 multiprotocol Bluetooth 5.4 SoC and uses the Semtech LR1110 LoRa transceiver for communication. Seeed Studio is selling the Wio Tracker 1110 development board in a bundle with an OLED display and a GNSS receiver, providing everything needed to start experimentation for peer-to-peer LoRa mesh networking. Meshtastic is a free, open-source, decentralized mesh network that uses LoRa radios to establish a low-power, long-range, off-grid communication system in areas without reliable infrastructure. Driven entirely by the community, Meshtastic enables decentralized, encrypted communication without the need for a dedicated router or phone. Previously we have written various versions of the Wio Tracker including the Wio GPS and Wio LTE GPS Tracker. Since Meshtastic projects are becoming popular among developers and enthusiasts, we will likely see many more dev […]

SagireEdge AI 600 SMARC SoM and devkit feature Qualcomm QCS6490 AIoT processor for Edge AI applications

Qualcomm QCS6490 SMARC SoM

Sagire AI’s SagireEdge AI 600 is a SMARC-compliant system-on-module (SoM) and a development kit based on Qualcomm QCS6490 octa-core Cortex-A78/A55 IoT processor and designed for Edge AI applications. The module comes with 8GB LPDDR5 and 128GB UFS storage, a WiFi 6E and Bluetooth 5.5 wireless module, a CAN Bus controller, and on-module camera and audio input connectors. Its MXM 3.0 edge connector exposes additional camera interfaces, a MIPI DSI display interface, PCIe Gen3 x2, gigabit Ethernet, a few USB interfaces, and a range of low-speed I/Os. SagireEdge AI 600 SoM specifications: SoC – Qualcomm QCS6490 CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x Silver cores (Cortex-A55) @ up to 1.9 GHz GPU – Adreno 643L GPU @ 812 MHz with support for Open GL ES 3.2, Open CL 2.0, Vulkan 1.x, DX FL 12 DSP – […]

Conexio Stratus Pro – A battery-powered nRF9161 development kit with LTE IoT, DECT NR+, GNSS connectivity (Crowdfunding)

Conexio Stratus Pro nRF9161 IoT prototyping kit

Conexio Stratus Pro is a tiny IoT development kit based on Nordic Semi nRF9161 system-in-package (SiP) with LTE-M/NB-IoT, DECT NR+, and GNSS connectivity and designed to create battery-powered cellular-connected electronic projects and products such as asset trackers, environmental monitors, smart meters, and industrial automation devices. Just like the previous generation Conexio Startus board based on the Nordic Semi nRF9160 cellular IoT SiP, the new Conexio Stratus Pro board supports solar energy harvesting and comes with a Feather form factor and Qwiic connector for each expansion. Conexio Stratus Pro specifications: System-in-package – Nordic Semi nRF9161 SiP MCU – Arm Cortex-M33 clocked at 64 MHz with 1 MB Flash pre-programmed MCUBoot bootloader, 256 KB RAM Modem Transceiver and baseband 3GPP LTE release 14 LTE-M/NB-IoT support DECT NR+ ready GPS/GNSS receiver RF Transceiver for global coverage supporting bands: B1, B2, B3, B4, B5, B8, B12, B13, B17, B18, B19, B20, B25, B26, B28, […]

Avnet AI Vision Development Kit features Qualcomm QCS6490 SoC, dual camera, GbE, and USB-C PD

QCS6490 Vision AI Development Kit

Just last month at Embedded World 2024, Qualcomm announced its RB3 Gen 2 Platform based on the QCS6490 processor with Cortex-A78 and A55 processing cores and 12 TOPS of AI power. Building on this, Avnet has recently launched the Avnet AI Vision Development Kit, also based on the QCS6490 SoC. The kit includes a dual camera setup, Gigabit Ethernet connectivity, USB-C Power Delivery, and a host of other features for applications like inventory and asset monitoring, drone/UAV/other mobile vision-AI edge compute applications, and multi-camera security systems with recognition. Previously we have written about similar AI dev kits including Allwinner V853 100ASK-V853-Pro, Sipeed Maix-III devkit, RZBoard V2L, and many other AI vision development boards feel free to check those out if you are interested in the topic. Avnet AI Vision Development Kit specifications SM2S-QCS6490 SMARC Compute Module: CPU – 4x Arm Cortex-A78 (up to 2.7 GHz), 4x Arm Cortex-A55 (up to […]

Renesas RZ/V2H Cortex-A55/R8/M33 MPU comes with 80 TOPS AI accelerator for robotics and autonomous applications

Renesas RZ/V2H block chart

The RZ/V2H is the latest addition to the Reneasas family of 32-bit and 64-bit microprocessors. Renesas RZ/V2H microprocessor features four Arm Cortex-A55 application processing cores, dual Arm Cortex-R8 real-time processing cores, and one Cortex-M33 core for system management, as well as an AI accelerator with up to 80 TOPS (sparse) of performance. The RZ/V2H MPU includes the third generation of Renesas’ dynamically reconfigurable processor for AI (DRP-AI3) accelerator, a staple of the RZ/V series. The DRP-AI accelerator can run complex image AI models at a power efficiency of 10 TOPS per watt (TOPS/W), as much as 10 times higher than conventional microprocessors. Additionally, the RZ/V2H has another DRP that can be used in image processing and robotics applications. The board also comes with PCIe Gen3, USB 3.2, and Gigabit Ethernet for high-speed applications such as autonomous robotics and factory automation machine vision. It offers a performance boost over previous products […]

Microchip announces the PolarFire SoC Discovery Kit, a low-cost devkit for Linux and real-time applications

Microchip PolarFire SoC Discovery Kit

The SoC Discovery Kit is the latest addition to Microchip’s list of development kits for the PolarFire series. The series is the first SoC FPGA family powered by a deterministic, coherent RISC-V CPU cluster. They provide low power consumption, thermal efficiency, and defense-grade security for smart, networked systems. They also support a deterministic L2 memory system for Linux and real-time applications. Microchip launched the Icicle Kit for the PolarFire SoC in 2020 and it was followed by the Video and Imaging Kit which was intended for mid-bandwidth imaging and video applications. Now, Microchip has announced the Discovery Kit which is billed as a low-cost alternative to the Icicle. The Discovery Kit retains the full range of features needed for testing concepts quickly, developing firmware applications, and programming/debugging user code. According to Microchip, the kit will bring “a low-cost RISC-V and FPGA development for learning and rapid innovation” to new and […]

This New X-Fly drone mimics a bird’s flight (Crowdfunding)

x fly the drone designed to soar like a bird

Aeronautical engineer Edwin Van Ruymbeke has introduced X-Fly, a drone that emulates the flight pattern of a bird. The drone communicates via Bluetooth using the STM32WB15CC microcontroller, has a range of 100 meters, and can fly for 8-12 minutes with a swappable battery system. The company mentions that they have collaborated with the French military to develop the flapping wings mechanism, which incorporates gyroscopes and g-sensors, ensuring a stable flight. The drone can be controlled with a smartphone app or an attachable optical joystick and It’s also durable against crashes, has a quick-swap battery system, and improved wing mechanics for longer flights. We’ve previously covered drones such as the Qualcomm Flight RB5-based drone Kudrone Nano Drone and some drone kits like Qualcomm Flight Pro. Feel free to explore these if you’re interested. Key Features and Specification of X-Fly Drone: Control Board – The PCB features an STM32WB15CC Bluetooth microcontroller, motor […]

Persee N1 – A modular camera-computer based on the NVIDIA Jetson Nano

Orbbec Parsee N1 camera computer kit

The Persee N1 is a modular camera-computer kit recently launched by 3D camera manufacturer, Orbbec. Not too long ago, we covered their 3D depth and RGB USB-C camera, the Femto Bolt. The Persee N1 was designed for 3D computer vision applications and is built on the Nvidia Jetson platform. It combines the quad-core processor of the Jetson Nano with the imaging capabilities of a stereo-vision camera. The Jetson Nano’s impressive GPU makes it particularly appropriate for edge machine learning and AI projects. The company also offers the Femto Mega, an advanced and more expensive alternative that uses the same Jetson Nano SoM. The Persee N1 camera-computer also features official support for the open-source computer vision library, OpenCV. The camera is suited for indoor and semi-outdoor operation and uses a custom application-specific integrated circuit (ASIC) for enhanced depth processing. It also provides advanced features like multi-camera synchronization and IMU (inertial measurement […]

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