Using SenseCraft firmware for no-code programming on Wio Terminal

No code programming SHT40 sensor

In the conclusion of our SenseCAP K1100 Sensor Prototype kit review with LoRaWAN and Vision AI, the author suggested that it would be great if SeeedStudio could develop a new firmware that can connect without coding instead of using Arduino programming: I had to rely on my knowledge and experience with LoRaWAN to transmit data wirelessly over long distances. That’s because LoRaWAN has a more complicated connection process than Wi-Fi or Bluetooth. It would be great if Seeed Studio could develop a new firmware that can connect without any coding It did not take long, as SeeedStudio very recently released the first version of SenseCraft open source smart sensor software for no-code sense, process, and uplink that happens to be compatible with the Wio Terminal part of the SenseCAP K1100 development kit. So let’s test the new SenseCraft firmware together. SenseCraft navigation keys We can use Wio Terminal’s joystick as follows: […]

AI, computer vision meet LoRaWAN with SenseCAP K1100 sensor prototype kit

Wio Terminal Grove Vision AI LoRaWAN module

CNXSoft: This is another tutorial using SenseCAP K1100 sensor prototype kit translated from CNX Software Thai. This post shows how computer vision/AI vision can be combined with LoRaWAN using the Arduino-programmable Wio Terminal, a Grove camera module, and LoRa-E5 module connecting to a private LoRaWAN network using open-source tools such as Node-RED and InfluxDB. In the first part of SenseCAP K1100 review/tutorial we connected various sensors to the Wio Terminal board and transmitted the data wirelessly through the LoRa-E5 LoRaWAN module after setting the frequency band for Thailand (AS923). In the second part, we’ll connect the Grove Vision AI module part of the SenseCAP K1100 sensor prototype kit to the Wio Terminal in order to train models to capture faces and display the results from the camera on the computer. and evaluate the results of how accurate the Face detection Model is. Finally, we’ll send the data (e.g. confidence) using […]

Getting Started with LoRaWAN on SenseCAP K1100 sensor prototype kit (Part 1)

SenseCAP K1100 review LoRaWAN sensors

CNXSoft: This getting started guide/review of the SenseCAP K1100 sensor prototype kit is a translation of the original post on CNX Software Thai. The first part of this tutorial describes the kit and shows how to program it with Arduino to get sensor data to a LoRAWAN gateway and display it on Wio Terminal, before processing the data in a private LoRaWAN network using open-source tools such as Grafana. The second part – to be published later – will demonstrate the AI capability of the kit. In the digital era where IoT and big data are more prevalent, a large amount of data is required to be collected through sensors. To enable the digital transformation, SeeedStudio’s SenseCAP K1100 comes with all necessary sensors and equipment including the Wio Terminal, AI Vision Sensor, and a LoRaWAN module. With this plug-and-play platform, makers can easily create DIY sensors for data collection and […]

$4.9 CAN bus module features GD32E103 Cortex-M4 microcontroller

CAN Bus Grove module GD32E103

Seeed Studio has introduced a new CAN Bus Grove module based on 120 MHz Gigadevice GD32E103 Arm Cortex-M4+ microcontroller with support for CAN FD at up to 5Mbps and controlled by AT command over a serial interface. The new module appears to be a drop-in replacement for the company’s $19.90 Serial CAN-BUS Grove module based on Microchip MCP2551 and MCP2515, and the main benefit of the new GD32E103 module is that it is much more cost-effective going for only $4.90 including shipping. GD32E103 CAN BUS Grove module specifications: MCU – Gigadevice GD32E103 Arm Cortex-M4F microcontroller @ up to 120 MHz with 64KB to 128KB flash, 20KB to 32KB SRAM CAN Bus – 2-pin terminal block with CAN FD up to 5 Mbps Host connection – 4-pin Grove connector with UART up to 115,200 bps (default 9,600 bps) Misc – Tx and Rx LEDs Operating voltage – 3.3V Dimensions – 40 […]

reComputer J101/J202 carrier boards are designed for Jetson Nano/NX/TX2 NX SoM

recomputer J101 J201

Seeed Studio’s reComputer J101 & J202 are carrier boards with a similar form factor as the ones found in NVIDIA Jetson Nano and Jetson Xavier NX developer kits, but with a slightly different feature set. The reComputer J101 notably features different USB Type-A/Type-C ports, a microSD card, takes power from a USB Type-C port, and drops the DisplayPort connector, while the reComputer J201 board replaces the micro USB device port with a USB Type-C port, adds a CAN Bus interface, and switches to 12V power input instead of 19V. The table below summarizes the features and differences between the Jetson Nano devkit (B1), reComputer J101, Jetson Xavier NX devkit, and reComputer J202. Note the official Jetson board should also support production SoM with eMMC flash, but they do ship with a non-production SoM with a built-in MicroSD card socket instead. The carrier boards are so similar that if NVIDIA would […]

Seeed Studio outs $5 XIAO ESP32C3 board with WiFi and BLE, battery support

XIAO-ESP32C3

Seeed Studio’s XIAO family of tiny MCU boards expands with the XIAO ESP32C3 board equipped with ESP32-C3 WiFi and Bluetooth LE (BLE) microcontroller, support for LiPo batteries, and following the same 21 x 17.5mm form factor. If I’m counting right, this is the fifth member following the original XIAO based on Microchip SAMD21G18 Cortex-M0+ MCU, XIAO RP2040, and the nRF52840-based XIAO BLE and XIAO BLE Sense boards which I tested with Edge Impulse. XIAO ESP32C3 specifications: Wireless MCU –  Espressif Systems ESP32-C3 single-core RISC-V microcontroller @ 160 MHz with 400KB SRAM, 384KB ROM, 4MB flash Wi-Fi 4 & Bluetooth LE 5.0 connectivity Antenna – External u.FL antenna USB – USB Type-C port for power and programming Expansion I/Os 2x 7-pin headers with 1x UART, 1x I2C, 1x SPI, 11x GPIO (PWM), 4x ADC, I2S 3.3V I/O voltage (not 5V tolerant) Debugging – JTAG pads Misc – Reset button, Boot button, […]

reServer Jetson-50-1-H4 is an AI Edge server powered by NVIDIA Jetson AGX Orin 64GB

Jetson AGX Orin 64GB AI inference server

reServer Jetson-50-1-H4 is an AI inference edge server powered by Jetson AGX Orin 64GB with up to 275 TOPS of AI performance, and based on the same form factor as Seeed Studio’s reServer 2-bay multimedia NAS introduced last year with an Intel Core Tiger Lake single board computer. The 12-core Arm server comes with 32GB LPDDR5, a 256GB NVMe SSD pre-loaded with the Jetpack SDK and the open-source Triton Inference server, two SATA bays for 2.5-inch and 3.5-inch drives, up to 10 Gbps Ethernet, dual 8K video output via HDMI and DisplayPort, USB 3.2 ports, and more. reServer Jetson-50-1-H4 (preliminary) specifications: SoM – Jetson AGX Orin module with CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor with 3MB L2 + 6MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 2048 NVIDIA CUDA cores and 64 Tensor Cores @ 1.3 GHz DL Accelerator – 2x NVDLA v2.0 Vision Accelerator […]

reComputer Jetson mini PCs feature Jetson Nano or Xavier NX modules

recomputer jetson mini pc

Seeed Studio’s reComputer Jetson series mini PCs are built around NVIDIA Jetson Nano or Xavier NX system-on-module and designed for Edge AI applications. Four models have been designed with the Jetson-10-1-A0 mini PC equipped with a carrier board of the same name and Jetson Nano module, while the Jetson A206 carrier board is integrated into Jetson-10-1-H0 also with Jetson Nano, as well as Jetson-20-1-H1 and Jetson-20-1-H2 based on Jetson Xavier NX with 8GB and 16GB RAM respectively. Jetson-10-1-A0 mini PC and carrier board Specifications: Jetson Nano SoM CPU – Quad-core Arm A57 processor @ 1.43 GHz GPU – Maxwell GPU with 128 CUDA cores System Memory  – 4 GB 64-bit LPDDR4 25.6 GB/s Storage – 16 GB eMMC 5.1 Flash Video Encode – 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) Video Decode – 4K @ 60 | 2x 4K @ 30 | 8x […]

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