Search for products

• Complete vision and AI development kit for real-world conditions
• Combines Rubik Pi 3 edge AI platform with ToF i200 depth camera
• 12.5 TOPS AI performance at the edge
• Sunlight-robust 3D depth sensing
• Ideal for robotics, autonomy and industrial perception
• Accelerates prototyping and time-to-market

• Dual channel recording: front + cabin/rear with Sony IMX335
• 1080p @ 30 fps per channel, HDR & Night Vision, H.264 / MP4
• 4G LTE, Wi-Fi 2.4/5 GHz (802.11 a/b/g/n/ac), BLE 5.0, GNSS (GPS/GLONASS)
• G-Sensor for incident detection & event-based video locking
• Android 13, Quectel SC668S, 4 GB RAM, 64 GB eMMC
• MicroSD up to 512 GB, SIM slot, USB-C (5V), LCD touchscreen
• Secure Boot, firmware/data encryption, OTA updates
• Operating range: –20°C to +70°C, battery: 800 mAh

Manufacturer: Quectel

MPN: QSM200EPEMDA-2G32-PI-L1

• SBC board based on the Qualcomm QCM2290 platform with 2GB LPDDR4X and 32GB eMMC.
• ARM quad-core 64-bit processor with 4x A53 @ 2.0 GHz for compact embedded and edge systems.
• Adreno 702 GPU for multimedia, HMI, and display workloads.
• LTE Cat 4, Wi-Fi 2.4/5 GHz, Bluetooth 5.0, and optional GNSS support.
• USB 3.1, USB 3.0, USB 2.0, Micro HDMI, Gigabit Ethernet, camera, SIM, eSIM, and SD at board level.
• Linux, Android, and Ubuntu are supported at platform level.

• Concept: External USB-C power adapter for powering Arduino-related development and workstation setups
• Configuration: Listed as an AC/DC External Adapter Input from Arduino; described in distributor channels as a 36W Power Supply
• Use case: Suitable for lab, test, and evaluation environments that require a separate external power source
• Development focus: Repeatable power delivery for demonstrators, engineering benches, and technical validation setups
• Design note: Verify output voltage, output current, USB-C PD profiles, and regional plug/cable format against manufacturer documentation before design-in

• Concept: USB-C cable for data and connectivity tasks between Arduino hardware and host/programming devices
• Configuration: Listed as a 24-PIN USB-C CABLE from Arduino; positioned as a specialized cable connection for development environments
• Use case: Suitable for programming, bring-up, and workstation cabling in Arduino and embedded setups
• Development focus: Consistent, repeatable board-to-host connectivity in lab, test, and demo environments
• Design note: Verify connector configuration, data role, charging/data behavior, and any adapter or host requirements against manufacturer documentation before design-in

• Modular drone command & control platform
• Up to 20 km control range
• < 50 ms ultra-low latency
• 6.95” FHD 1000 cd/m² touchscreen
• Open Android platform with OTA support
• Available as turnkey, SKD or CKD

• Concept: Evaluation and prototyping board for embedded designs based on the M483 platform with integrated debugging and programming support
• Configuration: M483 platform with on-board Nu-Link2-Me, Arduino UNO compatible extension connectors, full-pin expansion, and ammeter connector for power monitoring
• Use case: Suitable for evaluation, prototyping, and validation of embedded, industrial, and communications applications based on Cortex-M4
• Development focus: Fast project start with direct SWD debugging, programming, VCOM output, and product-oriented power analysis on one compact platform
• Design note: Align header usage, power architecture, debug access, and attached shield or peripheral topology with the target application early in development

• Concept: USB-C hub for extending a USB-C host with additional I/O and peripheral connectivity
• Configuration: Listed as an 8 in 1 USB-C dongle from Arduino; suitable as a compact connectivity expansion for desktop, lab, or mobile setups
• Use case: For development workstations and evaluation environments where multiple peripherals need to be connected in parallel to a USB-C-based system
• Development focus: Faster reproduction of test and demo setups through centralized host-side connection of external devices
• Design note: Verify exact port configuration, data rates, video features, and power-delivery capability against manufacturer documentation before design-in

• Dual-brain architecture: Qualcomm Dragonwing™ IQ8 (QCS8275) + STM32H5F5 for deterministic real-time actuation
• AI compute: Hexagon Tensor AI Processor (NPU) with up to 40 Dense TOPS
• Memory & storage: 16GB LPDDR5 (2×8GB) + 64GB eMMC, M.2 NVMe Gen4 expansion
• Connectivity: Wi-Fi® 6 (2.4/5/6 GHz), Bluetooth® 5.3, 2.5Gbit Ethernet
• Adapter-free I/O: USB-C (host/device + DP Alt Mode video), 2× USB 3.0 Type-A, HDMI, MIPI CSI / MIPI DSI via carrier headers
• Industrial/robotics I/O: CAN-FD (PHY on screw terminal) plus additional CAN-FD lines via headers, JOMEGA expansion
• Ecosystem: Raspberry Pi® HATs (40-pin), Arduino® UNO shields/carriers, Qwiic/Modulino® + 8×13 LED matrix
• Software: Linux (Debian/Ubuntu), Arduino Core on Zephyr OS, Docker/Docker Compose, Arduino App Lab