Elecrow AI Starter Kit for the NVIDIA Jetson Orin Nano turns the NVIDIA Jetson Orin Nano into a learning and educational kit for students, educators, and hardware enthusiasts looking for a rapid and powerful prototyping platform. The kit integrates an 11.6-inch IPS touchscreen, an 8MP servo-controlled gimbal camera, a voice interaction module, and 30 common electronics modules embedded in the kit. The company also provides 39 Python tutorials for sensor control, computer vision, and basic AI workflows. In addition to the display, camera, and audio features, the kit also includes expansion through I2C, UART, and GPIO. Jetson Orin Nano AI Starter Kit specifications: Main Board – NVIDIA Jetson Orin Nano (Not included in the kit) Display – 11.6-inch IPS touchscreen display with 1366 × 768 resolution Onboard modules Input modules Multimedia – 8MP IMX219-based camera with dual-servo gimbal (PTZ-style control) Sensors Temperature & humidity sensor Ultrasonic distance sensor PIR motion […]
CrowPi 3 AI Learning Kit is powered by a Raspberry Pi 5 SBC, works with Arduino Nano, BBC Micro:bit, and Raspberry Pi Pico boards
Elecrow CrowPi 3 is the latest CrowPi learning and development kit featuring 41 built-in modules and over 150 lessons, and offering compatibility with Raspberry Pi 5, Arduino Nano, BBC Micro:bit, and Raspberry Pi Pico single board computers and development boards. It follows the CrowPi portable learning kit (Raspberry Pi 3B+/Zero), CrowPi 2 Raspberry Pi 4 electronics learning laptop, and CrowPi L laptop (Raspberry Pi 4 models), but the CrowPi 3 is the first to focus on Artificial Intelligence (AI) learning with a Raspberry Pi 5 and support for LLMs like DeepSeek, Google Gemini, and OpenAI chat besides courses about electronics and computer vision. CrowPi 3 specifications: Compatible boards Raspberry Pi 5 (required) – Broadcom BCM2712 quad-core Arm Cortex-A76, up to 2.4GHz, 4GB or 8GB RAM. OS: Raspberry Pi OS (Debian Linux) or others Optional via headers or slots Arduino Nano Raspberry Pi Pico 1/1 W/2/2 W BBC micro:bit Display – […]
ESP32-S3 AIoT Basic – A learning and prototyping kit with camera, audio, LCD, and sensors
The ESP32-S3 AIoT Basic is a low-cost, learning, and prototyping kit for the ESP32-S3. The board integrates common AIoT peripherals directly onto a single PCB, making the design part easy for beginners, classrooms, and rapid prototyping. Built around an ESP32-S3 board, the development platform integrates nine commonly used modules directly on the PCB, including a button, buzzer, LED indicator, light sensor, LCD, digital microphone, SD card slot, audio amplifier, and a camera. Most AI and IoT demos can be run without breadboards or jumper wires, while expansion is supported through standard pin headers and Grove connectors. The board supports 5V power via USB-C, and 6–12 V power input via Vin for driving additional devices. With various tutorials and sample projects, it is suitable for AIoT learning, STEM education, voice and vision demos, sensor-based projects, and quick proof-of-concept development. ESP32-S3 AIoT Basic Specifications: Main board – ESP32-S3 Core Board SoC – […]
ESP32-P4 learning and prototyping kit features 7-inch touchscreen, comes with 16 modules and AI lessons
Elecrow’s “All-in-One Starter Kit for ESP32-P4” is an open-source learning and prototyping platform based on the ESP32-P4 processor, offering AI, multimedia, and embedded features in a single, self-contained kit designed for students, educational institutions, and developers for rapid prototyping. The open hardware kit integrates a 7-inch touchscreen display, a 2MP camera, and sixteen built-in electronic modules, supported by over 20 structured lessons that progressively cover I/Os, audio, LVGL GUI development, and basic AI use cases. Development is done in C using Espressif’s ESP-IDF framework, ready-to-build examples, and modular BSP drivers, making the kit suitable for learning embedded systems, IoT device control, human-machine interfaces, smart home concepts, and entry-level Edge AI applications. All-in-one Starter Kit for ESP32-P4 kit specifications: Wireless MCU – ESP32-P4NRW32 MCU Dual-core RISC-V microcontroller @ 400 MHz with AI instructions extension and single-precision FPU Single-RISC-V LP (Low-power) MCU core @ up to 40 MHz GPU – 2D Pixel […]
STEVAL-ROBKIT1 – A robot evaluation kit based on STM32H725 and STM32G0 microcontrollers
The STEVAL-ROBKIT1 is an evaluation kit for robotics applications based on ST’s STM32H725 and STM32G0 Arm microcontrollers. It’s the first such robot kit from the company, and it targets both traditional engineering teams, educators, and students. The kit features an STM32H725 main board, an STM32G0 motor-control PCB, and a 1.53MP camera + ToF sensor module, as well as a robotic frame, wheels, and motors with encoders. It does not require a soldering iron for assembly to make it easier for students. STEVAL-ROBKIT1 key components and features: Main board – STEVAL-ROBKIT1-1 SoC – STMicro STM32H725IGT6 Arm Cortex-M7 microcontroller @ 550 MHz with 1MB flash, 564 KB SRAM with ECC Wireless – BlueNRG-M2 Bluetooth LE 5.2 SoC Sensors 6-axis IMU (LSM6DSV16BX) Magnetometer (LIS2MDL) Microphone (MP34DT06J) Expansion – 40-pin Raspberry Pi-like header Motor control board – STEVAL-ROBKIT1-2 SoC – STMicro STM32G071CBT6 Arm Cortex-M0+ microcontroller at 64 MHz with 128 KB flash, 36KB SRAM Motor […]
Quarky Intellio – A LEGO-compatible AI, Augmented Reality, and IoT learning platform (Crowdfunding)
Quarky Intellio is an ESP32-S3-based development kit designed as an educational platform for learning AI, Augmented Reality (AR), and IoT concepts. It is compatible with LEGO bricks and targets users aged 10 and older. The core AI-AR module features an SPI TFT display interface, a 5MP camera, a speaker and microphone, a microSD card slot for data storage, a USB-C port for programming and charging, servo and GPIO expansion ports, and a 1,000 mAh battery. The company offers a discovery kit with the core module only as well as a rover car kit, and since it’s compatible with LEGO, users can easily create their own robot. Quarky Intellio specifications: Core module – Espressif Systems ESP32-S3-WROOM-1-N16R8 SoC – ESP32-S3 CPU – Dual-core LX7 processor with up to 240MHz Memory – 512KB SRAM, 8MB PSRAM (SiP) Storage – 384KB ROM Wireless – WiFi 4 802.11b/g/n and Bluetooth 5.0 LE Storage – 16MB flash […]
Arduino Nesso N1 – An ESP32-C6 IoT wireless development kit with WiFi 6, BLE, 802.15.4, LoRa, and IR transmitter
Arduino Nesso N1 is a new ESP32-C6 IoT development kit with not only 2.4 GHz WiFi 6, Bluetooth LE, and an 802.15.4 radio for Zigbee/Thread/Matter, but also a LoRa radio and an IR transmitter for smart home, industrial, and educational applications. Developed in collaboration with M5Stack, the Nesson N1 also features a 1.14-inch touchscreen display, a 6-axis motion sensor, a few LEDs and buttons, as well as Grove and Qwiic expansion connectors, and an 8-pin GPIO header. Nesso N1 specifications: SoC – Espressif Systems ESP32-C6 CPU Single-core 32-bit RISC-V clocked up to 160 MHz Low-power RISC-V core @ up to 20 MHz Memory/Storage – 320KB ROM, 512KB SRAM Wireless – 2.4 GHz WiFi 6, Bluetooth 5.3, and 802.15.4 radio for Thread/Zigbee Storage – 16MB NOR Flash Display – 1.14-inch touchscreen display with 240 x 135 resolution, 262K colors; ST7789P3 driver, FT6336U capacitive touch Wireless 2.4 GHz WiFi 6, BLE 5.3, Zigbee […]
Genesis IoT Discovery Lab is a modular ESP32-S3-based wire-free prototyping platform (Crowdfunding)
Developed by Axiometa in Lithuania, the Genesis IoT Discovery Lab is a modular Wi-Fi-enabled prototyping platform built around the ESP32-S3 and a standardized module with AX22 connectors, designed to replace messy breadboards with a structured, plug-and-play system. Designed to simplify hardware development and education, this prototyping module features eight universal AX22 ports, a USB OTG Type-C port, a battery module with charging, and support for over 50 sensors and peripherals. Modules include sensors, buttons, motors, LEDs, relays, and displays, all secured with robust connectors. With open-source hardware and various expansion add-ons, it’s suitable for education, IoT prototyping, and fast hardware iterations. Genesis IoT Discovery Lab specifications: Wireless Module – ESP32-S3-WROOM-1 SoC – Espressif Systems ESP32-S3 CPU – Dual-core Tensilica LX7 up to 240 MHz with vector extension for AI/ML workloads RAM – 512KB SRAM Storage – 8MB flash Wireless – WiFi 4 and Bluetooth LE 5 Antenna – PCB antenna USB […]

