3 products

  • Last stock! Waveshare PicoGo Mobile Robot for Raspberry Pi Pico

    Waveshare Waveshare PicoGo Mobile Robot for Raspberry Pi Pico

    2 in stock

    The PicoGo is a smart mobile robot based on Raspberry Pi Pico, it includes ultrasonic module, LCD module, Bluetooth module, line following module, and obstacle avoidance module, all these functions are highly integrated for easily achieving IR obstacle avoidance, auto line following, Bluetooth/IR remote control, and more. With various advanced features, it will help you fast get started with smart robot design and development. Features Standard Raspberry Pi Pico header, supports Raspberry Pi Pico series Battery protection circuit: over charge/discharge protection, over current protection, short circuit protection, reverse proof, more stable and safe operating Recharge/Discharge circuit, allows programming/debugging concurrently while recharging 5-ch infrared sensor, analog output, combined with PID algorithm, stable line tracking Onboard multiple smart robot sensors like line tracking, obstacle avoidance, no more messy wiring 1.14-inch IPS colorful LCD display, 240 x135 pixels, 65K colors Integrates Bluetooth module, allows teleoperations like robot movement, RGB LED display color, buzzer, etc. by using mobile phone APP N20 micro gearmotors, with metal gears, low noise, high accuracy Colorful RGB LED IR obstacle avoidance The module sends IR beam and detects objects by receiving the reflected IR beam, to easily avoid obstacles in the way. Auto line following Features 5-ch IR detector for sensing and analysing the black line, combined with PID algorithm for adjusting robot movement, high sensitivity, stable tracking. Ultrasonic sensor Ultrasonic is generally faster and easy-to-calculate, suitable for functions like real time control, and obstacle avoidance, with the industrial practical ranging accuracy, it is widely used on robot research and development. Object tracking The robot is able to detect front object by ultrasonic or IR, and keeps moving to track the target automatically. IR remote control Integrates IR receiver, so that you can control the robot to move or turn direction by sending infrared light from the remote controller. Bluetooth remote control Comes with mobile phone APP, allows you to use the phone to control the movement of the robot, or control its peripherals like changing LED color, making the buzzer to sound, etc. RGB LED control Included 1x PicoGo base board 1x PicoGo acrylic panel 1x 1.14-inch LCD Module 1x Ultrasonic sensor x1 1x IR remote controller 1x USB-A to micro-B cable 1.2 m 1x PH2.0 8-Pin cable 5 cm opposite side headers 1x Mini cross wrench sleeve 1x Screwdriver 1x Screws and standoffs pack Required 1x Raspberry Pi Pico (pre-soldered header) 1x 5 V/3 A power supply 2x 14500 batteries Downloads Wiki

    2 in stock

    € 67,95

    Members € 61,16

  • Waveshare Jetson Nano Development Kit Lite

    Waveshare Waveshare Jetson Nano Development Kit Lite

    The Waveshare Jetson Nano Development Kit, based on AI computers Jetson Nano (with 16 GB eMMC) and Jetson Xavier NX, provides almost the same IOs, size, and thickness as the Jetson Nano Developer Kit (B01), more convenient for upgrading the core module. By utilizing the power of the core module, it is qualified for fields like image classification, object detection, segmentation, speech processing, etc., and can be used in sorts of AI projects. Specifications GPU 128-core Maxwell CPU Quad-core ARM A57 @ 1.43 GHz RAM 4 GB 64-bit LPDDR4 25.6 GB/s Storage 16 GB eMMC + 64 GB TF Card Video encoder 250 MP/s 1x 4K @ 30 (HEVC) 2x 1080p @ 60 (HEVC) 4x 1080p @ 30 (HEVC) Video decoder 500 MP/s 1x 4K @ 60 (HEVC) 2x 4K @ 30 (HEVC) 4x 1080p @ 60 (HEVC) 8x 1080p @ 30 (HEVC) Camera 1x MIPI CSI-2 D-PHY lanes Connectivity Gigabit Ethernet, M.2 Key E expansion connector Display HDMI USB 1x USB 3.2 Gen 1 Type A 2x USB 2.0 Type A 1x USB 2.0 Micro-B Interfaces GPIO, I²C, I²S, SPI, UART Dimensions 100 x 80 x 29 mm Included 1x JETSON-NANO-LITE-DEV-KIT (carrier + Nano + heatsink) 1x AC8265 dual-mode NIC 1x Cooling fan 1x USB cable (1.2 m) 1x Ethernet cable (1.5 m) 1x 5 V/3 A power adapter (EU) 1x 64 GB TF Card 1x Card reader Documentation Wiki

    € 269,00

    Members € 242,10

  • Waveshare Jetson Orin Nano AI Development Kit

    Waveshare Waveshare Jetson Orin Nano AI Development Kit

    This AI Edge Computing Development Kit is based on the Jetson Orin Nano Module providing rich peripheral interfaces such as M.2, DP, USB, etc. This kit also comes with a pre-installed AW-CB375NF wireless network card that supports Bluetooth 5.0 and dual-band WIFI, with two additional PCB antennas, for providing high-speed and reliable wireless network connection and Bluetooth communication. Specifications AI performance 40 TOPS GPU 1024-core N-VIDIA Ampere architecture GPU with 32 Tensor Cores GPU frequency 625 MHz (max) CPU 6-core Arm Cortex-A78AE v8.2 64-bit CPU, 1.5 MB L2 + 4 MB L3 CPU frequency 1.5 GHz (max) RAM 8 GB 128-bit LPDDR5, 68 GB/s Storage 128 GB NVMe Solid State Drive Power 7~15 W PCIE M.2 Key M slot with x4 PCIe Gen3 M.2 Key M slot with x2 PCIe Gen3 M.2 Key E slot USB USB Type-A: 4x USB 3.2 Gen2 USB Type-C (UFP) CSI camera 2x MIPI CSI-2 camera connector Video encode 1080p30 supported by 1-2 CPU cores Video decode 1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265) Display 1x DisplayPort 1.2 (+MST) connector Interfaces 40-Pin Expansion Header (UART, SPI, I²S, I²C, GPIO), 12-pin button header, 4-pin fan header, DC power jack Networking 1x GbE connector Dimensions 103 x 90.5 x 34 mm Included Waveshare Orin Nano development kit 1x Jetson Orin Nano Module (8 GB) 1x JETSON-ORIN-IO-BASE 1x Cooling Fan 1x 128 GB NVMe Solid State Drive (assembled) 1x Wireless network card (assembled) 1x USB Type A to Type-C cable (1 m) 1x Ethernet cable (1.5 m) 1x Jumper 1x Power adapter (EU) Documentation Wiki

    € 799,00

    Members € 719,10

This category offers a wide spectrum of platforms to choose from. They all have different features and you can choose the platform that best suits your needs or project.


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