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ID: 1183048
zł3,099.00
Tax included

zł2,519.51 tax excl.

Accessory kit for building an autonomous racing robot based on the NVIDIA Jetson Nano. Waveshare JetRacer AI Kit A

4 weeks
On request
Kamami is the official distributor of Waveshare displays, accessories and modules.

 

Free shipping

free shipping in Poland for all orders over 500 PLN

 

Same day shipping

If your payment will be credited to our account by 11:00

 

14 days for return

Each consumer can return the purchased goods within 14 days

Description

A set of accessories for building an autonomous racing robot based on the popular NVIDIA Jetson Nano development kit. The set consists of a racing chassis, an 8MP camera with a Sony IMX219 sensor, a WiFi Dual-Band 2.4 / 5 GHz wireless communication module and Bluetooth and the necessary accessories.

Attention!


Only 18650 batteries shorter than 67 mm are compatible with the set.

The design is based on the Jetson Nano minicomputer. It is an NVIDIA development kit with an ARM Cortex A57 CPU working at 1.43 GHz and a Maxwell graphics chip consisting of 128 cores supporting CUDA technology. The system is supported by 4 GB DDR4 RAM, Ethernet and HDMI interface and two MIPI-CSI connectors. The set is intended especially for graphic design and processing of very large amounts of data as well as for running modern devices using AI. Supports popular AI libraries, including TensorFlow, PyTorch, Caffe, Keras and MXNet.

The chassis is a structure based on the Ackerman principle with a drive motor with a metal gearbox with a speed of 740 rpm and a front steering axle with an MG996R servo. The chassis skeleton is made of aluminum. The robot expansion board houses the motor controller, OLED display and protection circuit, and a basket for 3 18650 battery cells.



The set can be used to build a racing vehicle controlled by the included gamepad, computer or mobile device. It can also be an excellent driving base for creating an autonomous vehicle. The set has a very rich support in the form of tools such as TensorFlow, OpenCV, TensorRT, Keras as well as DonkeyCar, a platform that uses neural networks and deep learning mechanisms, which with the support of Keras, TensorFlow and OpenCV allows you to build your own autonomous vehicle.

Full documentation and assembly instructions are available on the product Wiki page.

Features

  • NVIDIA Jetson Nano kit
  • Ubuntu 18.04 LTS operating system
  • Programming language: Python
  • 8MP HD camera, 160 ° FOV wide angle
  • 0.91 "128 x 32 pixel OLED display
  • 2.4 GHz / 5 GHz WiFi module, Bluetooth 4.2
  • Controls: gamepad, web browser
  • Overcharge / discharge protection, overcurrent protection, short circuit protection, reverse polarity protection
  • Chassis type: steered according to the Ackerman principle, rear-wheel drive with double geared motor
  • Power supply: 12.6 V, 3 x 18650 battery
  • 37-520 DC motor, 1:10 gear, rotation speed 740 rpm
  • MG996R servo, 9 kg / cm
  • Aluminum alloy housing
  • Front bumper
  • Software libraries: JetRacer, DonkeyCar

Kit contains

  • NVIDIA Jetson Nano kit
  • MicroSD 64GB
  • JetRacer undercarriage components
  • 2 x EVA felt pad
  • 3D printed engine cover
  • JetRacer expansion board
  • IMX219-160 camera
  • WiFi / BT module AC8265
  • Acrylic tile
  • Servo mounting
  • 2 x Gear motor
  • 4 x Tires
  • 2 x Connector
  • Servo MG996R
  • Servo adapter MG996R
  • 2 x switches
  • 4 x Ball bearing
  • 4 x M3 plastic ball joint
  • 2 x M3
  • 12.6 V charger + EU adapter
  • Wireless gamepad
  • 6-pin cable
  • 2 x Wrench
  • 2 x Screwdriver
  • Mini cross wrench sleeve
  • Cooling fan
  • MicroSD card reader
  • Screw package
  • Test route
1183048

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