The SparkFun JetBot AI Kit V3.0 is a great launchpad for creating entirely new AI projects for makers, students, and enthusiasts interested in learning AI and building fun applications. It’s straightforward to set up and use and is compatible with many popular accessories.
Several interactive tutorials show you how to harness AI's power to teach the SparkFun JetBot to follow objects, avoid collisions, and more. The Jetson Nano Developer Kit (not included in this kit) offers useful tools like the Jetson GPIO Python library and is compatible with standard sensors and peripherals; including some new python compatibility with the SparkFun Qwiic ecosystem.
Additionally, the included image is delivered with the advanced functionality of JetBot ROS (Robot Operating System) and AWS RoboMaker Ready with AWS IoT Greengrass already installed. SparkFun’s JetBot AI Kit is the only kit currently on the market ready to move beyond the standard JetBot examples and into the world of connected and intelligent robotics.
This kit includes everything you need to get started with JetBot minus a Phillips head screwdriver and an Ubuntu desktop GUI. If you need these, check out the includes tabs for some suggestions from our catalogue. Please be aware that the ability to run multiple neural networks in parallel may only be possible with a full 5V-4A power supply.
Features
SparkFun Qwiic ecosystem for I²C communication
The ecosystem can be expanded using 4x Qwiic connectors on GPIO header
Example Code for Basic Motion, Teleoperation, Collision avoidance, & Object Following
Compact form factor to optimize existing neural net from NVIDIA
136° FOV camera for machine vision
Pre-flashed MicroSD card
Chassis assembly offers expandable architecture
No soldering required
Included
64 GB MicroSD card - pre-flashed SparkFun JetBot image:
Nvidia Jetbot base image with the following installed: SparkFun Qwiic python library package
Driver for Edimax WiFi adapter
Greengrass
Jetbot ROS
Leopard Imaging 136FOV wide-angle camera & ribbon cable
EDIMAX WiFi Adapter
SparkFun Qwiic Motor Driver
SparkFun Micro OLED Breakout (Qwiic)
All hardware & prototyping electronics needed to complete your fully functional robot!
Required
NVIDIA Jetson Nano Developer Kit
Downloads
Assembly Guide
The reComputer J1020 v2 is a compact edge AI device powered by the NVIDIA Jetson Nano 4 GB production module, delivering 0.5 TFLOPs of AI performance. It features a robust aluminum case with a passive heatsink and comes pre-installed with JetPack 4.6.1. The device includes 16 GB of onboard eMMC storage and offers 2x SCI, 4x USB 3.0, M.2 Key M, HDMI, and DP.
Applications
Computer Vision
Machine Learning
Autonomous Mobile Robot (AMR)
Specifications
Jetson Nano 4 GB System-on-Module
AI Performance
Jetson Nano 4 GB (0.5 TOPS)
GPU
NVIDIA Maxwel architecture with 128 NVIDIA CUDA cores
CPU
Quad-core ARM Cortex-A57 MPCore processor
Memory
4 GB 64-bit LPDDR4 25.6 GB/s
Video Encoder
1x 4K30 | 2x 1080p60 | 4x 1080p30 | 4x 720p60 | 9x 720p30 (H.265 & H.264)
Video Decoder
1x 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 & H.264)
Carrier Board
Storage
1x M.2 Key M PCIe
Networking
Ethernet
1x RJ-45 Gigabit Ethernet (10/100/1000M)
I/O
USB
4x USB 3.0 Type-A1x Micro-USB port for device mode
CSI Camera
2x CSI (2-lane 15-pin)
Display
1x HDMI Type A; 1x DP
Fan
1x 4-pin Fan Connector (5 V PWM)
CAN
1x CAN
Multifunctional Port
1x 40-Pin Expansion header
1x 12-Pin Control and UART header
Power Supply
DC 12 V/2 A
Mechanical
Dimensions
130 x 120 x 50 mm (with Case)
Installation
Desktop, wall-mounting
Operating Temperature
−10°C~60°C
Included
reComputer J1020 v2 (system installed)
12 V/2 A power adapter (with 5 interchangeable adapter plugs)
Downloads
reComputer J1020 v2 datasheet
reComputer J1020 v2 3D file
Seeed NVIDIA Jetson Product Catalog
NVIDIA Jetson Device and Carrier Boards Comparison
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
The reComputer J3010 is a compact and powerful edge AI device powered by the NVIDIA Jetson Orin Nano SoM, delivering an impressive 20 TOPS AI performance – up to 40 times faster than the Jetson Nano. Pre-installed with Jetpack 5.1.1, it features a 128 GB SSD, 4x USB 3.2 ports, HDMI, Gigabit Ethernet, and a versatile carrier board with M.2 Key E for WiFi, M.2 Key M for SSD, RTC, CAN, and a 40-pin GPIO header.
Applications
AI Video Analytics
Machine Vision
Robotics
Specifications
Jetson Orin Nano System-on-Module
AI Performance
reComputer J3010, Orin Nano 4 GB (20 TOPS)
GPU
512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores (Orin Nano 4 GB)
CPU
6-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5 MB L2 + 4 MB L3
Memory
4 GB 64-bit LPDDR5 34 GB/s (Orin Nano 4 GB)
Video Encoder
1080p30 supported by 1-2 CPU cores
Video Decoder
1x 4K60 (H.265) | 2x 4K30 (H.265) | 5x 1080p60 (H.265) | 11x 1080p30 (H.265)
Carrier Board
Storage
M.2 Key M PCIe (M.2 NVMe 2280 SSD 128 GB included)
Networking
Ethernet
1x RJ-45 Gigabit Ethernet (10/100/1000M)
M.2 Key E
1x M.2 Key E (pre-installed 1x Wi-Fi/Bluetooth combo module)
I/O
USB
4x USB 3.2 Type-A (10 Gbps)1x USB 2.0 Type-C (Device Mode)
CSI Camera
2x CSI (2-lane 15-pin)
Display
1x HDMI 2.1
Fan
1x 4-pin Fan Connector (5 V PWM)
CAN
1x CAN
Multifunctional Port
1x 40-Pin Expansion header
1x 12-Pin Control and UART header
RTC
RTC 2-pin, supports CR1220 (not included)
Power Supply
9-19 V DC
Mechanical
Dimensions
130 x 120 x 58.5 mm (with Case)
Installation
Desktop, wall-mounting
Operating Temperature
−10°C~60°C
Included
1x reComputer J3010 (system installed)
1x Power adapter (12 V / 5 A)
Downloads
reComputer J301x Datasheet
NVIDIA Jetson Devices and carrier boards comparisions
reComputer J401 schematic design file
reComputer J3010 3D file
Reinforcing its commitment to widening the accessibility to and innovation in the area of deep learning, NVIDIA has created a free, self-paced, online Deep Learning Institute (DLI) course, “Getting Started on AI with Jetson Nano.” The course's goal is to build foundational skills to enable anyone to get creative with the Jetson Developer Kit. Please be aware that this kit is for those who already own a Jetson Nano Developer Kit and want to join the DLI Course. A Jetson Nano is not included in this kit.
Included in this kit is everything you will need to get started in the “Getting Started on AI with Jetson Nano” (except for a Jetson Nano, of course), and you will learn how to
Set up your Jetson Nano and camera
Collect image data for classification models
Annotate image data for regression models
Train a neural network on your data to create your own models
Run inference on the Jetson Nano with the models you create
The NVIDIA Deep Learning Institute offers hands-on training in AI and accelerated computing to solve real-world problems. Developers, data scientists, researchers, and students can get practical experience powered by GPUs in the cloud and earn a competency certificate to support professional growth. They offer self-paced, online training for individuals, instructor-led workshops for teams, and downloadable course materials for university educators.
Included
32 GB microSD Card
Logitech C270 Webcam
Power Supply 5 V, 4 A
USB Cable - microB (Reversible)
2-Pin Jumper
Please note: Jetson Nano Developer Kit not included.
These are some of our favourite sensors from each category. But wait, there's more! The SparkFun Sensor Kit now includes several of our sensor boards that feature the Qwiic Connect System for rapid prototyping!
This version of the kit has received a complete overhaul!
This huge assortment of sensors makes an amazing gift for that exceptional electronics enthusiast in your life!
Included
Large Piezo Vibration Sensor (With Mass): A flexible film able to sense for vibration, touch, shock, etc. When the film moves back and forth an AC wave is created, with a voltage of up to ±90.
Reed Switch: Senses magnetic fields, makes for a great non-contact switch.
0.25' Magnet Square: Plays nicely with the reed switch. Embed the magnet into stuffed animals or inside a box to create a hidden actuator to the reed switch.
0.5' Force Sensitive Resistor: A force-sensing resistor with a 0.5' diameter sensing area. Great for sensing pressure (i.e., if it's being squeezed).
Flex Sensor (2.2'): As the sensor is flexed, the resistance across the sensor increases. Useful for sensing motion or positioning.
SoftPot: These are very thin variable potentiometers. By pressing on various positions along the strip, you vary the resistance.
Mini Photocell: The photocell will vary its resistance based on how much light it's exposed to. Will vary from 1kΩ in the light to 10kΩ in the dark.
PIR Motion Sensor: Easy-to-use motion detector with an analog interface. Power it with 5-12VDC, and you'll be alerted of any movement.
QRD1114 Optical Detector/Phototransistor: An all-in-one infrared emitter and detector. Ideal for sensing black-to-white transitions or can be used to detect nearby objects.
IR Diode: This LED can handle up to 50mA of current and outputs in the 940-950nm IR spectrum. Use to send signal to talk to the included IR receiver diode or just turn off your neighbor's TV.
IR Receiver Diode: This simple IR receiver will detect an IR signal coming from a standard IR remote control or the IR diode included in the kit.
Resistor 1.0M Ohm 1/4 Watt PTH: Two 1/4 Watt, +/- 5% tolerance PTH resistors. Commonly used in breadboards and perf boards. The large resistor helps dampen any voltage spikes when using the large piezo vibration sensor with a microcontroller.
Resistor 10K Ohm 1/4 Watt PTH – 20 pack (Thick Leads): 1/4 Watt, +/- 5% tolerance PTH resistors. Commonly used in breadboards and perf boards, these 10KΩ resistors make excellent pullups, pulldowns, and current limiters.
Resistor 330 Ohm 1/4 Watt PTH – 20 pack (Thick Leads): 1/4 Watt +/- 5% tolerance PTH resistors. Commonly used in breadboards and perf boards, these 330Ω resistors make excellent current-limiting resistors for LEDs.
SparkFun 9DoF IMU Breakout – ISM330DHCX, MMC5983MA (Qwiic): This breakout board includes a 3-axis accelerometer, 3-axis gyroscope, and 3-axis magnetometer. Connect this board over I2C using a Qwiic cable or solder wires or headers to the SPI pins to get started using one of the three sensors or using all three together to determine 3D orientation.
SparkFun Atmospheric Sensor Breakout – BME280 (Qwiic): The SparkFun BME280 Atmospheric Sensor Breakout is an easy way to measure barometric pressure, humidity, and temperature readings, all without taking up too much space.
SparkFun Indoor Air Quality Sensor – ENS160 (Qwiic): The SparkFun ENS160 Indoor Air Quality Sensor is a digital multi-gas sensor solution with four sensor elements that can be used in a wide range of applications including building automation, smart home, and HVAC.
SparkFun Capacitive Touch Slider – CAP1203 (Qwiic): This little board acts great as a non-mechanical button. Use the three pads on the board or connect your own input for a great touch button or slider with no moving parts.
Flexible Qwiic Cable (100 mm): Use these to connect up to four Qwiic boards in your kit.
RGB and Gesture Sensor (APDS-9960): This board does a little bit of everything. You can measure ambient light or color as well as detect proximity and do gesture sensing all over I2C.
Soil Moisture Sensor (with screw terminals): Ever wonder if your plant needs water? This sensor outputs an analog signal based on the resistance of the soil. Since water is conductive, the soil water content will be reflected in the soil resistance.
Sound Detector: Ever need to know if there is noise in an area? This board will not only tell you, but it will also output amplitude as well as the full audio signal.
Break Away Headers (Straight): Solder these pins to any of the breakouts to prototype on a breadboard. You'll want to solder these to boards that do not have Qwiic connectors such as the gesture sensor and sound detector.
The starter kit for Jetson Nano is one of the best kits for beginners to get started with Jetson Nano. This kit includes 32 GB MicroSD card, 20 W adapter, 2-pin jumper, camera, and micro-USB cable.
Features
32 GB High-performance MicroSD card
5 V 4 A power supply with 2.1 mm DC barrel connector
2-pin jumper
Raspberry Pi camera module V2
Micro-B To Type-A USB cable with DATA enabled
The full-color, spiral-bound SIK guidebook (included) contains step-by-step instructions with circuit diagrams and hookup tables for building each project and circuit with the included parts. Full example code is provided, new concepts and components are explained at the point of use, and troubleshooting tips offer assistance if something goes wrong.
The kit does not require any soldering and is recommended for beginners ages 10 and up looking for an Arduino starter kit. For SIK version 4.1, Sparkfun took an entirely different approach to teaching embedded electronics. In previous versions of the SIK, each circuit focused on introducing a new piece of technology. With SIK v4.1, components are introduced in the context of the circuit you are building. Each circuit builds upon the last, leading up to a project that incorporates all of the components and concepts introduced throughout the guide. With new parts and a completely new strategy, even if you've used the SIK before, you're in for a brand-new experience!
The SIK V4.1 includes the Redboard Qwiic, which allows you to expand into the SparkFun Qwiic ecosystem after becoming proficient with the SIK circuits. The SparkFun Qwiic Connect System is an ecosystem of I²C sensors, actuators, shields and cables that make prototyping faster and less prone to error. All Qwiic-enabled boards use a common 1mm pitch, 4-pin JST connector. This reduces the amount of required PCB space, and polarized connections mean you can’t hook it up wrong. With the addition of the SparkFun RedBoard Qwiic, you will need to download a new driver install that is different from the original SparkFun RedBoard.
Included
SparkFun RedBoard Qwiic
Arduino and Breadboard Holder
SparkFun Inventor's Kit Guidebook
White Solderless Breadboard
Carrying Case
SparkFun Mini Screwdriver
16 x 2 White-on-Black LCD (with headers)
SparkFun Motor Driver (with Headers)
Pair of Rubber Wheels
Pair of Hobby Gearmotors
Small Servo
Ultrasonic Distance Sensor
TMP36 Temp Sensor
6' USB Micro-B Cable
Jumper Wires
Photocell
Tricolour LED
Red, Blue, Yellow and Green LEDs
Red, Blue, Yellow and Green Tactile Buttons
10K Trimpot
Mini Power Switch
Piezo Speaker
AA Battery Holder
330 and 10K Resistors
Binder Clip
Dual-Lock Fastener
The SparkFun RP2040 mikroBUS Development Board is a low-cost, high performance platform with flexible digital interfaces featuring the Raspberry Pi Foundation's RP2040 microcontroller. Besides the Thing Plus or Feather PTH pin layout, the board also includes a microSD card slot, 16 MB (128 Mbit) flash memory, a JST single cell battery connector (with a charging circuit and fuel gauge sensor), an addressable WS2812 RGB LED, JTAG PTH pins, four (4-40 screw) mounting holes, our signature Qwiic connectors, and a mikroBUS socket. The mikroBUS standard was developed by MikroElektronika. Similar to Qwiic and MicroMod interfaces, the mikroBUS socket provides a standardized connection for add-on Click boards to be attached to a development board and is comprised of a pair of 8-pin female headers with a standardized pin configuration. The pins consist of three groups of communications pins (SPI, UART and I²C), six additional pins (PWM, Interrupt, Analog input, Reset and Chip select), and two power groups (3.3 V and 5 V). The RP2040 is supported with both C/C++ and MicroPython cross-platform development environments, including easy access to runtime debugging. It has UF2 boot and floating-point routines baked into the chip. While the chip has a large amount of internal RAM, the board includes an additional 16 MB of external QSPI flash memory to store program code. The RP2040 contains two ARM Cortex-M0+ processors (up to 133 MHz) and features: 264 kB of embedded SRAM in six banks 6 dedicated IO for SPI Flash (supporting XIP) 30 multifunction GPIO: Dedicated hardware for commonly used peripherals Programmable IO for extended peripheral support Four 12-bit ADC channels with internal temperature sensor (up to 0.5 MSa/s) USB 1.1 Host/Device functionality Features (SparkFun RP2040 mikroBUS Dev. Board) Raspberry Pi Foundation's RP2040 microcontroller 18 Multifunctional GPIO Pins Four available 12-bit ADC channels with internal temperature sensor (500kSa/s) Up to eight 2-channel PWM Up to two UARTs Up to two I²C buses Up to two SPI buses Thing Plus (or Feather) Pin Layout: 28 PTH Pins USB-C Connector: USB 1.1 Host/Device functionality 2-pin JST Connector for a LiPo Battery (not included): 500mA charging circuit 4-pin JST Qwiic Connector LEDs:
PWR - Red 3.3V power indicator
CHG - Yellow battery charging indicator
25 - Blue status/test LED (GPIO 25)
WS2812 - Addressable RGB LED (GPIO 08) Buttons: Boot Reset JTAG PTH Pins 16MB QSPI Flash Memory µSD Card Slot mikroBUS Socket Dimensions: 3.7' x 1.2' Four Mounting Holes: 4-40 screw compatible Downloads Schematic Eagle Files Board Dimensions Hookup Guide Qwiic Info Page GitHub Hardware Repository
The SparkFun Weather Shield uses the Si7021 humidity / temperature sensor, the MPL3115A2 barometric pressure sensor, and the ALS-PT19 light sensor. The shield utilizes the MPL3115A2 and Si7021 Arduino libraries.
The SparkFun Weather Shield comes with two unpopulated RJ11 connector spaces and a 6-pin GPS connector. Finally, each Weather Shield can operate from 3.3 V up to 16 V and has built-in voltage regulators and signal translators.
Check out the GitHub page, Schematics, and Eagle Files for more information.
The RedBoard Artemis has the improved power conditioning and USB to serial that we've refined over the years on our RedBoard line of products. A modern USB-C connector makes programming easy. A Qwiic connector makes I²C easy. The RedBoard Artemis is fully compatible with SparkFun's Arduino core and can be programmed easily under the Arduino IDE. We've exposed the JTAG connector for more advanced users who prefer to use professional tools' power and speed. We've added a digital MEMS microphone for folks wanting to experiment with always-on voice commands with TensorFlow and machine learning. We've even added a convenient jumper to measure current consumption for low power testing. With 1MB flash and 384k RAM, you'll have plenty of room for your sketches. The on-board Artemis module runs at 48MHz with a 96MHz turbo mode available and with Bluetooth to boot! Features Arduino Uno R3 Footprint 1M Flash / 384k RAM 48MHz / 96MHz turbo available 24 GPIO - all interrupt capable 21 PWM channels Built-in BLE radio 10 ADC channels with 14-bit precision 2 UARTs 6 I²C buses 4 SPI buses PDM Interface I²S Interface Qwiic Connector
The SparkFun RedBoard Qwiic is an Arduino-compatible board that combines features of different Arduinos with the Qwiic Connect System.
Features
ATmega328 microcontroller with Optiboot Bootloader
R3 Shield Compatible
CH340C Serial-USB Converter
3.3 V to 5 V Voltage Level Jumper
A4 / A5 Jumpers
AP2112 Voltage Regulator
ISP Header
Input voltage: 7 V - 15 V
1 Qwiic Connector
16 MHz Clock Speed
32 k Flash Memory
All SMD Construction
Improved Reset Button
