This is a low-cost mobile robot kit that comes with everything you need to build your first mobile robot except the electronic parts. It gives you the freedom to choose your preferred microcontroller whether it is Arduino, Micro:bit or any platform you like. It is particularly suitable for educators or training centers who wish to conduct a mobile robot workshop to students.
Specification
2 wheels + motors mobile robot chasis
Comes with all accessories to make a mobile robot
Include 4xAA batteries holder
Chassis size: ~215mm x ~150mm
Wheel Diameter: 67mm
Castor Height: 34mm
Motor parameters:
Comes presoldered with Red and Black wire, length ~ 15cm (After 15th September 2019)
Bidirectional
Gear Ratio = 48:1
Speed with 66mm diameter wheel = 0.65 m/s at 7.2VDC
Recommended operating voltage: 5 - 10VDC
Noise level < 65dB
Current Consumption:
100mA each motor at 3V
100mA each motor at 5V
120mA each motor at 6V
Document:
Assembly Instruction
Packing List:
1 x Plexiglass panels
2 x DC gear motor(TT motor) + Mini Wheel
1 x Castor
1 x 4 X AA battery holder
1 x Rocker switch
2 x Black slotted disc
Mounting screws and accessories
Power Supply Stable and durable, multiple protection, more security Type-C connector, 5V 4A
Input Voltage Range : 90Vac to 264Vac
Rated Input Voltage : 100Vac to 240Vac
Input Frequency Range : 47Hz-63Hz
Input Current : 0.8A max. (I/P100-240Vac)
Size : L76*W44*32mm
Weight : 125g
Cable length : 1.2m
Microcontroller: ATmega328P
Operating Voltage (logic level): 5V
Input Voltage (recommended): 7-12V (5V if bypassing the onboard voltage regulator)
Input Voltage (limits): 6-15V
Digital I/O Pins: 14 (6 with pwm)
Analog Inputs: 8
DC Current per I/O Pin: 40ma (max of 200ma across all pins)
Flash Memory: 32kb (2kb used by bootloader)
SRAM: 2kb
EEFROM: 1kb
Clock Speed: 16mhz
Dimensions 0.73" x 1.70"
UNO R3 ATMega328P USB Compatible Development Board is a microcontroller board based on the ATmega328. It has 14 digital input/output pins (of which 6 can be used as PWM outputs), 6 analogue inputs, a 16 MHz crystal oscillator, a USB connection, a power jack, an ICSP header, and a reset button. It contains everything needed to support the microcontroller; Simply connect it to a computer with a USB cable or power it with a AC-to-DC adapter or battery to get started. This upgraded model is completely compatible with original Arduino UNO.
Microcontroller
ATmega328
Operating Voltage
5V
Input Voltage (recommended)
7-12V
Input Voltage (limits)
6-20V
Digital I/O Pins
14 (of which 6 provide PWM output)
Analog Input Pins
6
DC Current per I/O Pin
40 mA
DC Current for 3.3V Pin
50 mA
Flash Memory
32 KB ( ATmega328 ) of which 0.5 KB used by bootloader
SRAM
2 KB ( ATmega328 )
EEPROM
1 KB ( ATmega328 )
Clock Speed
16 MHz
The Arduino UNO R4 WiFi combines the processing power and exciting new peripherals of the RA4M1 microcontroller from Renesas with the wireless connectivity power of the ESP32-S3 from Espressif. On top of this, the UNO R4 WiFi offers an on-board 12x8 LED matrix, Qwiic connector, VRTC, and OFF pin, covering all potential needs makers will have for their next project.
With the UNO R4 WiFi, you can easily upgrade your project and add wireless connectivity to expand the reach of your current setup. If this is your first project, this board has everything you need to spark your creativity.
Hardware compatibility with UNO form factor: The UNO R4 WiFi maintains the same form factor, pinout, and 5 V operating voltage as its predecessor, the UNO R3, ensuring a seamless transition for existing shields and projects.
Expanded memory and faster clock: The UNO R4 WiFi boasts increased memory and a faster clock speed, enabling more precise calculations and effortless handling of complex projects.
Extra on-board peripherals: The UNO R4 WiFi introduces a range of on-board peripherals, including a 12-bit DAC, CAN BUS, and OP AMP, providing expanded capabilities and design flexibility.
Extended 24 V tolerance: The UNO R4 WiFi supports a wider input voltage range, allowing seamless integration with motors, LED strips, and other actuators using a single power source.
HID support: With built-in HID support, the UNO R4 WiFi can simulate a mouse or keyboard when connected to a computer via USB, making it easy to send keystrokes and mouse movements.
Wi-Fi® and Bluetooth®: The UNO R4 WiFi hosts an ESP32-S3 module, enabling makers to add wireless connectivity to their projects. Combined with the Arduino IoT Cloud, makers can monitor and control their projects remotely.
Qwiic connector: The UNO R4 WiFi features a Qwiic I2C connector, allowing easy connection to nodes from the extensive Qwiic ecosystem. Adapter cables also enable compatibility with sensors and actuators based on other connectors.
Support for battery-powered RTC: The UNO R4 WiFi includes additional pins, including an "OFF" pin to turn off the board and a "VRTC" pin to keep the internal Real-Time Clock powered and running.
LED matrix: The UNO R4 WiFi incorporates a bright 12x8 red LED matrix, ideal for creative projects with animations or plotting sensor data, eliminating the need for additional hardware.
Diagnostics for runtime errors: The UNO R4 WiFi includes an error-catching mechanism that detects runtime crashes and provides detailed explanations and hints about the code line causing the crash.
MEFV22C is a BBC micro:bit CLUB contains 10x BBC micro:bit V2 boards and all essentials needed to power boards and start programming. This BBC micro:bit is a pocket-sized computer that introduces you to how SW and HW work together. It has an LED light display, buttons, sensors, a speaker, microphone and many other input/output features that, when programmed, let it interact with you and your world. You will need a computer, tablet or phone to write and send code to the micro:bit, but once the code is on the micro:bit it works as a standalone device with just the battery pack. Bluetooth 5.1 connectivity with Bluetooth Low Energy (BLE), ideal for communicating with other devices such as smartphones and tablets.
micro:bit works with Microsoft, MacOS, Apple iPads(and iPhones) and Android devices
Computing is made physical
Use the micro:bit to sense, measure and log light, temperature, sound, movement, magnetism
Nordic nRF52833 processor with 512KB flash and 128KB RAM
5x5 LED display matrix, 25 red LEDs with 255-step intensity control
2 programmable tactile button for user funct, full speed USB 2.0 interface via micro USB connection
New notched edge connector makes it easier to connect things like crocodile clip, conductive thread
MEMS Microphone with LED indicator, dedicated I2C bus for peripherals
Onboard speaker, capacitive touch sensor, motion sensor and temperature sensors
LED matrix can be used to sense ambient light with software algorithm
BitPlayer provides you inspiration and excitement to make creations such as a portable piano or a smart calculator. To be easier to carry and use, BitPlayer abandoned an allbutton design that a typical game controller would use in favor of a 2-axes joystick. It includes another 6 programmable buttons labeled as L, R, A, B, C and D. Besides, the BitPlayer itself features a buzzer, a vibration motor and a Grove I2 C port to give kids lively and interactive experience of game. You can easily enjoy DIY projects anywhere by installing 2 AAA batteries into the BitPlayer. As already tested, BitPlayer can interact with other devices when Bluetooth positioning is within a distance range about 10 meter. If you want to implement a remote control car, we recommend that you also prepare
Compatibility: Raspberry Pi 3 B+, 3, 2 and B+
Color / Material: Transparent Smoked Polycarbonate
Port access: Audio / Composite, HDMI, USB, microUSB, microSD
Cable Pass-throughs: GPIO, CSi, DSi
HAT Compatibility: Remove top of enclosure for HAT access
Tools Required: Completely tool-less
Mounting: Screw key-holes on bottom
Camera Compatibility: Compatible with Raspberry Pi Camera V1 and V2 (standard and NOIR)
This transparent enclosure for the Raspberry Pi combines great looks and great features that anyone can afford. It is an economical enclosure for your Raspberry Pi which is made of strong, transparent polycarbonate material to keep your Pi safe and looking good. Your Pi snaps securely in place without the use of any tools. All ports can be easily accessed and there's even a GPIO cable pass-through for prototyping. The tool-less design also has provisions for the Raspberry Pi Camera which also snaps right into place and safely protected.
Professional, high quality ABS case designed specifically for the Raspberry Pi 4. The case keeps your device safe whilst maintaining full access to all the pins and ports.
Rugged 3-piece ABS construction
Ventilated base for passive cooling
Full access to all ports and pins
The DHT11 sensor is one of the most popular sensors for measuring temperature and humidity, especially in Arduino projects because it is easy to use, cheap, and readily available.
What is DHT11?
DHT11 is a sensor that measures temperature and relative humidity in the air. This sensor has a capacitive humidity sensor and a thermistor temperature sensor inside, which outputs digital data, making it very easy to connect to Arduino.
DHT11 specifications
list
details
Humidity measurement range
20–90% RH (±5% RH)
Temperature measurement range
0–50°C (±2°C)
Supply voltage
3.3V – 5.5V
Output signal
Single-wire digital
Read Rate
1 time/second (1Hz)
Number of legs
3 legs (VCC, GND, Data) or 4 legs (if it is a module but actually uses 3 legs)
Using DHT11 with Arduino
Wiring:
DHT11
Arduino
VCC
5V
GND
GND
DATA
Digital Pin (eg. D2)
Some models have a pull-up resistor (about 10KΩ) already attached to the module. If it is a bare sensor, you may need to connect your own resistance.
Arduino code example:
Requires DHT library, which can be installed via Library Manager.
define DHTPIN 2 // The pin connected to the DHT11's Data #define DHTTYPE DHT11 // The type of sensor
DHT dht(DHTPIN, DHTTYPE); void setup() { Serial.begin(9600); dht.begin(); }
void loop() { float h = dht.readHumidity(); float t = dht.readTemperature();
if (isnan(h) || isnan(t)) { Serial.println("Read failed!"); return; }
Serial.print("Humidity: "); Serial.print(h); Serial.print(" %\t"); Serial.print("Temperature: "); Serial.print(t); Serial.println(" *C"); delay(2000); // wait 2 seconds }
Feature
Note
For optimal performance with reComputer, we recommend using 128GB / 256GB / 512GB / 1TB SSDs from Seeed. Since some SSDs on the market may only be compatible with specific JetPack versions which may cause the device to fail to function properly , and this issue is also present with official NVIDIA dev kits.
If you are looking for the version without power adapter, please check out reComputer J2021 without power adapter .
Specification
Jetson Xavier NX System on Module
AI Performance
reComputer J2022, Xavier NX 16GB
reComputer J2021, Xavier NX 8GB
GPU
384-core NVIDIA Volta™ architecture GPU with 48 Tensor Cores
CPU
6-core NVIDIA Carmel Arm®v8.2 64-bit CPU 6MB L2 + 4MB L3
Memory
16 GB 128-bit LPDDR4x 59.7GB/s
8GB 128-bit LPDDR4x 59.7GB/s
Storage
16 GB eMMC 5.1
Video Encoder
2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265)
Video Decoder
2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265)
Carrier Board
Networking
Ethernet
1x RJ45 Gigabit Ethernet Connector (10/100/1000)
M.2 KEY E
1x M.2 Key E
I/O
USB
4x USB 3.1 Type A Connector;
1x USB Type-C (Device mode)
CSI Camera
2x CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )
Display
1x HDMI Type A; 1x DP
Fan
1x FAN connector(5V PWM)
CAN
1x CAN
Multifunctional Port
1x 40-Pin Expansion header
RTC
RTC 2-pin
RTC socket
Power
9-19V DC
Mechanical
Dimensions (W x D x H)
130mm x 120mm x 58.5mm (with case)
Installation
Desk, wall-mounting
Operating Temperature
-10℃~60℃
Warranty
1 Year
Hardware Overview
reComputer J202 carrier board , included in the full system - reComputer J202 1
Desktop, Wall Mount, Expandable, or Fit in Anywhere
Application
Autonomous Mobile Robot (AMR)
AI Video Analytics
Machine Vision
Documents
Datasheet
Schematic
3D File
See Nvidia Jetson Product Catalog
Nvidia Jetson Comparison
Nvidia Jetson Product Comparison
Seeed Nvidia Jetson Success Cases
Seeed Jetson One Pager
ECCN/HTS
HSCODE
8471419000
USHSCODE
8543708800
UPC
EUHSCODE
8471800000
COO
CHINA
Part List
Acrylic Cover
1x
Aluminium Frame
1x
Jetson Xavier NX module
1x
Aluminum heatsink with fan
1x
Carrier board
1x
12V/5A(Barrel Jack 5.5/2.5mm) Power Adapter (Power cable not included)
1x
The micro:bit Drone:bit Kit has successfully combined micro:bit with drones, which has provided another possibility for students to create and explore in the sky. Through your operation, you can give it commands of hovering at a fixed altitude, flying from a waypoint, curvilinear flight, rolling in the sky, etc. even in the classrooms, get your first professional micro:bit Drone:bit Kit now!
Drone:bit BREAKTHROUGH—PROFESSIONAL GRADE
It is the first kind of drone equipped with optical flow locating in professional-grade which is able to hover indoors in a fixed point through programming in the world, with built-in optical flow sensors in high sensitivity and TOF sensors, they help to hover and locate in a more precise way. It is probably your first drone in professional grade that listen to your commands!
Drone:bit BREAKTHROUGH-FLYING SAFELY
The sealed propeller guards make sure your drone flies safely.
Drone:bit IN CLASSROOMS-AVAILABLE IN CLASSROOMS
Drone:bit could fly in the classrooms!
Drone:bit BREAKTHROUGH—CODE FOR MORE PROJECTS
Simple graphical and Python programming, available for complicated flying routines, flying gestures and rolling, etc., there are more possibilities waiting to be explored.
Drone:bit IN CLASSROOMS — FIND MORE IN WIKI
SPECIFICATION
product name
micro:bit Drone:bit Kit
Rated Voltage
3.7V
Battery Capacity
800mAh
Charging Voltage
5V
Charging Current
0.8A
Charging Port
Micro USB
Power Protection
Over Charge/Discharge Protection
Propeller Guards
Support
LED
5 PCS (one for power indicator, four for status indicator)
Waypoints
Optical Flow
Fixing Altitude
Barometer + TOF
micro:bit Programming
Support
2.4G Remote Control Mode
Support
Flying Time
8min
Weight
509g
Flying Height
≤100m
ELECFREAKS BBC micro bit Starter Kit is designed for children who are beginning to learn the electric circuit and programming knowledge. Students can use these micro:bit basic DIY kits to create or complete more experiments, such as traffic lights, using photocell to control micro:bit screen or LED.
Smart home Kit is a product about smart home projects based on micro:bitwhich is developed by ELECFREAK. We selected executed components commonly used at home as the TMP36 temperature sensor, sound sensor, crash sensor, servo, and motor. You can build scenes like windowsill, wardrobe, and fish tank, create yourself a smart sweet home and program to intelligently drive them using micro:bit. The smart home is what makes life more practical and playing with it is what makes life more interesting.
Micro:bit Smart Home Kit: Sensor:bit breakout board
micro:bit Smart Home Kit: Exquisite Sensor (Not Include micro:bit and Battery)
Learn Coding through DIY Smart Home Projects
Multiple Remote Control Modes
Smart Home Kit supports multiple programming methods (Makecode/Python/Javascript)
Rich Learning Resources about Health Monitoring
With the ELECFREAKS WIKI, grasping the essential concepts of robotics programming is a breeze. Learn, practice, and then apply these skills in the real world!
Official Collected Coding Extension
The programming expansion package of Smart Home kit is officially collected in micro:bit.
Application
Auto Windows
Automatically detect noise level, the window will be closed when the noise threshold.
Voice-activated Lights
Voice-activated lights are controlled by voice, light and time delaying with sound sensor and light sensor.
Smart fan
Automatically detect temperature. The fan will automatically drive when the temperature is over the threshold and it will show the current temperature.
Packing List
Specs
The Coral USB Accelerator adds a Coral Edge TPU to your Linux, Mac, or Windows computer so you can accelerate your machine learning models. This page is your guide to get started.
All you need to do is download the Edge TPU runtime and PyCoral library. Then we'll show you how to run a TensorFlow Lite model on the Edge TPU.
To learn more about the hardware, see the USB Accelerator datasheet .
Requirements
A computer with one of the following operating systems:
Linux Debian 10, or a derivative thereof (such as Ubuntu 18.04), and a system architecture of either x86-64, Armv7 (32-bit), or Armv8 (64-bit) (includes support for Raspberry Pi 3 Model B+, Raspberry Pi 4, and Raspberry Pi Zero 2)
macOS 10.15 (Catalina) or 11 (Big Sur), with either MacPorts or Homebrew Installed
Windows 10
One available USB port (for the best performance, use a USB 3.0 port)
Python 3.6 - 3.9
On top of that, we have provided you with detailed instructions on the use of Raspberry Pi and the use of each module, which including 8 lessons for module. Just click the LEARN tab to view this user manual. Also you can check the Vedio Guide here , which will tell you how to use this kit step by step.
All in all, whether you are a student, teacher, artist, hardware enthusiast, and so on, with the help of the Grove Base Kit for Raspberry Pi, you will get to know Raspberry Pi quickly and comprehensively. Part List
Grove Base Hat for Raspberry Pi
Grove - Red LED Button
Grove - Buzzer
Grove - Moisture Sensor
Grove - Temperature & Humidity Sensor (DHT11)
Grove - Light Sensor
Grove - mini PIR motion sensor
Grove - Ultrasonic Ranger
Grove - Relay
Grove - Servo
Grove - 16 x 2 LCD (White on Blue)
Working voltage : DC 5 V Static current : 3 mA Working temperature : 0 ~ + 70 Output way : GPIO Induction Angle : Less than 15 Detection range : 2 cm to 4 m Detecting precision : 0.3 cm + 1% Sensor size : Approx. 45.1 x 20 x 14.5mm
T his is a low-cos t expansion board for Micro:bit, w hich is specifically used for r the IO ports of Micro:bit. It ha s t a ken a ll the IO r esourc e s on the Micro:bit, and so has a buzzer on the board. It is connected to the P0 pin through the jumper ca p. The P0 pin can be released using a jumper cap. The small size is very suitable for small project s using Micro:bit.
Features
S m all size, very suitable for DIY
A l l IO ports are extracted
O n -board buzzer- you can directly use the m us ic module in MakeCode to play mu si c . At the same time, the 3.5mm audio connector on the board can be connected to audio equipm e n t ; such as, headphones to have more creative endeavors.
T w o LEGO-compatible pin hole s for easy assembly and in te gr a tion
T h e 3 P IN interfac e is distingu ished by yellow , red, and black. It is created so that plugg i ng it in the wro n g way is difficult, and it is convenient to plug in the sensors.
I t imi t ates the 5PIN gold fingers on the Micro:bit. This is convenient for ma ke rs w h o like t o use the alligator c lips.
C o mpare d with IObit1.0, the biggest differe n ce is t hat it can input and output 5V, support 5V sensor use, and increases the drive capacity (can drive multiple 9g small servos).
I ncludes 1A self-recovery fuse
C u stom-designed silk screen board
Product parameters
L e ngth x width x height: 57mmx44mmx12mm
Technical parameters
P o wer supply mode: Io b itV.2.0 supports USB5V power supply . This power supply m ode requires pr es sing the blue p ower switch .
Wo r king voltage: 3V-5V (5V sensor module is n ot s up ported under 3V power supply)
Ou t put current: 3V and 5V power interface with maximum output 1A
Se r ial port extraction: serial port can map IO port
I2 C port leads: pins 19 and 20 can only be u sed as I 2C function pins. They cannot be read and written as ordinary IO ports, because Micro:bit bottom is dead.
Sp i port leads; 14, 15 (IO port can be read and written).
Pr o gramming:
MakeCode/KittenBlock (ba sed on Scratch3.0) wit h h a rdware: M icro:bit.
Specifics:
It is consi s tent with Micro:bit programming, because IO bi t does not have its own drive chip (except buzzer). The building block that is generally used with IObit is to operate the IO port. Many sensors on the market return a high and low voltage. Flat, or an analog value. For actuators, the microbit needs to output high and low level to control. People who are not familiar with this aspect can s e arch Netease Cloud Classroom: Xiao y an Technology and find the arduino tutorial, which explains h o w to use the commonly used sensors on the market, the principle is the same.
W it h common building blocks -> pin
Be f ore using the building blocks, you must first understand the control method or reading method of the electronic module you are using.
Di g ital reading
Mo s t newbies will fall out of here because they often ignore setup pull-ups or pull-downs during initialization. So the level state will fail after reading it once. The re fore, we must pay a ttenti o n to this. Micro:bit itself does not help to set u p and down by default, you need to set it yourself.
Ana lo g reading
In r esponse to the analog reading, because the analog reading will return a value of 0-1023, it is always inconvenient to display it with a dot matrix screen. So here we take advantage of the unique serial port debugging function of the Make C ode offline version produced by Xiaoyan. First, download the program shown in the figure to open the serial port. In step 2, the console of the device will appear, you can see the data returned in real time.
Dig it al writing
Digi t al read here does not need to set up and down
An a l og write
Simul a ted writing an example of a flashing light
The m os t commonly used IO port operation is one of these four types. After you master it, you should have no problem with the commonly used sensors on the market. Another thing to note is that the sensors on the market are 5v and 3.3V compatible. But some can only work in 5V. For example, the blue ultrasonic wave that Taobao sells can ordinarily only work in 5V. If IObit is connected, the number read back will always be 0, because the module is not working properly!
I ntroduction to IObit hardware:
5V p o w e r
Insert the USB power supply (5V 1A) as shown in Figure 1. Press the blue butt o n at 2, and the red indicator light at 3 will light up. You can use the left 5V interface.
P0 buzz e r
To g gle s witch to tu rn off the buzzer function (see the silk screen on the back of t h e board for status)
3Pin IO por t leads
All the pins in the Micro:bit have been taken out without any reservation (Note: there are no P17 and P18 on the Micro:bit, it's not that the IObit is not taken out)
Yellow c orresponds to the different IO pins
Red cor r esponds to 3.3V/5V (with silkscreen)
Black c o rresponds to GND
5PIN go l d fin g ers
The gol d f in gers o f the Micr o :b i t are used to draw 3v, gnd, P1, P 2, and P3 respectively. This is for users who prefer to use a lli gator clips
40P Mic r o:bit horizontal socket
Compact socket size
Board m o unting holes an df i xing
Th e two o utermost holes a re approximately 4.8 mm in diame ter and a re compatible with Lego friction p ins with a spacing of 48 mm.
3.5mm au d io interface
Y o u can p lug in a 3.5mm jack audio device and play the sound of the P0 pin.
IO b it programming use:
If you h av en't gotten started with Micro:bit, first get started with Micro:bit, this is the operating premise.
Use m us ic bl ocks directly in MakeCode to CQ0056.png
P0 pin is
If you use P 0 , remember to turn the buzzer toggle switch off (because the buzzer is combined with P0)
When using th e Micro:bit power supply, IObit IO port drive capability is very weak, IO port current is less than 200mA, please do not connect high current devices (such as large servo MG995, DC motor), otherwise it will burn out the Micro:bit , you must fully understand before using what the device current conditions needed
When using a 5 V external power supply, you can drive multiple small servos, but please note that the maximum current is 1A!
If you use the high-low read function of the pin, you must set the pull-down on the pin.
If P0 is used as a normal IO port, the buzzer toggle switch must be turned off, otherwise the buzzer will sound or the IO read value will be abnormal.
Use the shared pi n with the Micro:bit dot matrix (such as 3, 4, 5, 6, 7, 8, 9, 10, 11), remember to disable the dot matrix screen on the software, otherwise it will be a bit of a screen burst
Do not use IO19, 20. 19 and 20 cannot be used as an IO port. Although the display on the MakeCode software can be used, it is actually not used! It can only be used for I2C communication
The USB port all ow sa maximum input current of 1A.
Do not place it on a met al surface to avoid short circuit
Hardware Resources
5V external power input(with anti-reverse protection)
Power switch
Power Indicator
Battery Indicator
Micro USB charging port
4-channel DC motor / 2-channel stepper motor
Jumper for buzzer selection
8 channel IO(corresponding to Micro:bit P0-P2、P8、P12-P15)
5V and GND port
Buzzer
8 channel servo port
I2C interface (expandable I2C module)
18650 battery case
Better protection recovery push button
Micro:bit edge connector
4x RGB pixels
Servo driver (PCA9685)
2xDc/Stepper driver (DRV8833)
KittenBot robot chassis mounting hole
Standard LEGO holes
Version Comparison
MC-38 Normally Closed <Normally Closed principle is together, the signal is on, with the wired host use can not be used alone>
MC-38 is normally closed: the magnet is close to the conduction, the magnet is away from the circuit breaker.
MC-38A is normally open: the magnet is close to the closed (disconnected), the magnet is away from the open circuit
Action distance: 18mm ± 6mm
Lifetime: 1,000,000 times Switching output: often closed (together with the conductive) Open type, suitable for non-ferrous doors or windows Surface mountin
The Official Raspberry Pi HDMI cable is the perfect accessory to compliment your new Raspberry Pi 4 Model B board. This is a micro HDMI to standard HDMI cable which is 1m long and available in black or white. The high-performance Raspberry Pi HDMI cable supports 3D, 4K, 2K, 17.8Gbps, 2160P/60Hz and XVcolour.
Micro SD Card brand Sandisk
The Sandisk microSD card is compatible with Android devices and is designed with an A1 performance rating. The higher speed and capacity means faster app loading, faster photo and video recording.
Available in capacities up to 512GB*, the Sandisk microSD card is designed for reliable, high-resolution photography, and full-HD video editing.
Sandisk microSD cards are tested to last even in the harshest environments, so you can take them with confidence that your photos, videos, and files are protected. Backed by a lifetime warranty.
Micro SD Card Canvas Select Plus Android A1 performance
Kingston Canvas Select Plus microSD is compatible with Android devices and is designed with A1 performance. The higher speed and capacity means faster app loading, faster photo and video capture.
Available in multiple capacities up to 512GB*, the Canvas Select Plus microSD card is designed for reliable, high-resolution photography, and full-HD video editing.
Kingston's Canvas card is tested to last even in the harshest environments, so you can take it with you with confidence that your photos, videos and files will be protected. It's backed by a lifetime warranty.
The MQ-2 sensor is a very popular gas sensor for use with Arduino and other microcontroller boards, and is ideal for home gas or smoke detection projects, such as gas leak alarms.
MQ-2 is
The MQ-2 is a gas sensor that can detect many types of gases such as:
LPG (cooking gas)
Butane gas
Propane gas
Methane gas (CH₄)
Hydrogen gas (H₂)
Smoke
alcohol
Inside the sensor is a heating coil and a SnO₂ (tin dioxide) gas detector, whose resistance changes in the presence of gas in the air, allowing it to be converted to an electrical signal.
MQ-2 specifications
list
details
Supply voltage
5V DC
Electrical power
About 800mW
Signal type
Analog and digital (depending on module)
Warm-up time
About 20 seconds to 2 minutes
Detectable gases
LPG, Methane, Alcohol, Propane, Hydrogen, Smoke
Detection range
Approximately 300 - 10,000 ppm
Number of legs
4 legs (VCC, GND, AOUT, DOUT)
AOUT (Analog Out) – Analog signal indicating gas level. DOUT (Digital Out) – Digital signal (1 or 0) when gas level exceeds set point.
Using MQ-2 with Arduino
Wiring:
MQ-2 Pin
Arduino Pin
VCC
5V
GND
GND
AOUT
A0 (Analog)
DOUT
D2 (Digital) (if used)
Some MQ-2 modules have a potentiometer (adjuster) to set the threshold level on DOUT.
Example code for use in Analog:
int mq2Pin = A0;
void setup() { Serial.begin(9600); }
void loop() { int gasLevel = analogRead(mq2Pin); Serial.print("gasLevel: "); Serial.println(gasLevel); delay(1000); }
Example of code for Digital usage:
int mq2Digital = 2;
void setup() { pinMode(mq2Digital, INPUT); Serial.begin(9600); }
void loop() { int gasDetected = digitalRead(mq2Digital);
if (gasDetected == LOW) { Serial.println("gas detect!"); } else { Serial.println("Safe"); }
delay(1000); }
Specification
2.4G NRF24L01 Wireless Transceiver/Receive Module NRF24L01 2.4GHz wireless data transmission module
NRF24L01 is a work in the 2.4-2.5GHz worldwide ISM band single-chip transceiver, wireless transceiver, including: the frequency generator the enhanced SchockBurstTM mode controller power amplifier crystal amplifier modulator demodulator output power channel selection and protocol set by the SPI interface to set a very low current consumption, lower current consumption mode 12.3mA Power-down mode and standby mode when in transmit mode emission power 6dBm when current consumption is 9.0mA acceptance model.
Ball to open ISM band maximum 0dBm transmit power, license-exempt use. The open 100 meters!
Support six channels of data reception
(1) low operating voltage: 1.9 ~~ 3.6V low-voltage
(2) high-rate: 2Mbps, air transmission time is very short, greatly reducing the wireless transmission of collision phenomena (software settings 1Mbps or 2Mbps air transmission rate)
Multi-frequency points: 125 frequency points, to meet the multi-point communications and frequency hopping communications needs
4 ultra-compact: built-in 2.4GHz antenna compact 15x29mm (including antenna)
(5) Low power consumption: when in answer mode communication, fast air transmission and start-up time greatly reduces the current consumption.
Low application cost: NRF24L01 integrates all RF protocol high-speed signal processing section, such as: automatically resend lost packets and automatically generate an acknowledge signal, etc. the nRF24L01 The SPI interface can take advantage of the microcontroller hardware SPI port or microcontroller I / O port to simulate the internal FIFO can be used with a variety of low-speed microprocessor interface, easy to use low-cost microcontroller. 7 facilitate the development: the link layer is fully integrated in the module, very easy to develop. Automatic retransmission function, automatic detection and retransmission of lost packets, the retransmission time and the number of retransmission can be software-controlled automatic storage is not received the packet of the response signal auto-answer, after the receipt of a valid data, the module automatically sends the reply fixed frequency detection signals without any additional programming Carrier Detect - built-in hardware CRC error detection and point-to-multipoint communication address control packet transmission error counter and carrier detection can be used for frequency hopping set can also set up six to receive the channel address, can have a choice of open receive channel standard the pin Dip2.54MM spacing interfaces for embedded applications.
Feature
Note
The reComputer J3011 is equipped with the same NVIDIA Jetson Orin Nano 8GB production module. You can perform a self - upgrade to Jetpack 6.2 . Once upgraded, you'll instantly experience a significant boost in computing power, with the performance leaping from 40 Tops to 67 Tops , offering capabilities comparable to those of the NVIDIA Jetson Orin Nano Super Developer Kit .
For optimal performance with reComputer, we recommend using 128GB / 256GB / 512GB / 1TB SSDs from Seeed. Since some SSDs on the market may only be compatible with specific JetPack versions which may cause the device to fail to function properly , and this issue is also present with official NVIDIA dev kits.
If you are looking for the version without power adapter, please check out reComputer J3011 without power adapter
reComputer J3011 (original with JP5.1.3)
reComputer J3011 ( super with JP6.2 )
GPU
NVIDIA Ampere architecture
1,024 CUDA Cores
32 Tensor Cores
635 MHz
NVIDIA Ampere
architecture
1,024 CUDA Cores
32 Tensor Cores
1,020MHz
AI PERF
40 INT8 TOPS (Sparse)
20 INT8 TOPS (Dense)
67 TOPS (Sparse)
33 TOPS (Dense)
CPU
6-core Arm Cortex-
A78AE v8.264-bit CPU
1.5 GHz
6-core Arm Cortex-
A78AE v8.264-bit CPU
1.7 GHz
Memory
8GB 128-bit LPDDR5
68GB/s
8GB 128-bit LPDDR5
102GB/s
POWER MODULE
7W|15W
10W|15W| 25W
Specification
Jetson Orin Nano System on Module
AI Performance
reComputer J 3011 - Orin N ano 8 GB, up to 67 TOPS
reComputer J3010- Orin Nano 4GB – up to 34 TOPS
GPU
1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores (Orin Nano 8GB)
512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores (Orin Nano 4GB)
CPU
6-core Arm® Cortex®-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3
Memory
8GB 128-bit LPDDR5 68 GB/s (Orin Nano 8GB)
4GB 64-bit LPDDR5 34 GB/s (Orin Nano 4GB)
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
1x M.2 Key M PCIe (M.2 NVMe 2280 SSD 128G 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 (10Gbps) , 1x USB2.0 Type-C (Device Mode)
Camera
2x CSI (2-lane 15pin)
Display
1x HDMI 2.1
Fan
1x 4 pin Fan Connector (5V PWM)
CAN
1x CAN
Multifunctional Port
1x 40-Pin Expansion header
1x 12-Pin Control and UART header
RTC
1x RTC 2-pin , supports CR1220 but not included
Power
9-19V DC
Mechanical
Dimensions (W x D x H)
130mm x 120mm x 58.5mm (with case)
Installation
Desk, wall-mounting
Operating Temperature
-10℃~60℃
Warranty
1 Year
Hardware Overview
reComputer J401 carrier board , included in the full system - reComputer J3011
● Desktop, Wall Mount, Expandable, or Fit in Anywhere
Application
Application Fields:
AI Video Analytics
Machine Vision
Autonomous Mobile Robot (AMR)
Generative AI
● Capable of Bringing Generatie AI to the Edge
Now you can build AI agents capable of processing large amounts of live or archived videos and images with Vision-Language Models (VLM) such as LLaVA, this new AI agents help nearly every industry summarize, search, and extract actionable insights from video using natural language.
● Build Multi-streams AI Video Analytics
For building video analytics, Jetson Orin Nano incorporates the NVIDIA Multi-Standard Video Decoder. This video decoder accelerates video decode, supporting low resolution mobile content, Standard Definition (SD), High Definition (HD) and UltraHD (8K, 4K, etc.) reComputer J3011 can take 13x1080p30 streams. See our tested YOLOv8 performance using NVIDIA Deepstream of single model and multi model on multi streams .
● Fastest Way to Deploy Generative AI and Computer Vision Models
We have jetson-example Prepared for you! It offers one-line deploy projects edge AI applications of generative AI including Ollama, Llama3; computer vision including YOLOv8; and others . We have configured all environment for you to provide single command deployment of projects.
1. Orange Pi is a small computer board with many capabilities, suitable for those who want to create projects that require high performance but want to keep a budget.
2. With its meticulous design and best value, Orange Pi is a price you shouldn't miss. You can choose from a variety of models to suit your needs, including WiFi, Ethernet, USB, HDMI, and more.
3. With the capabilities of Orange Pi, you can use it in many ways, such as a server, display, receiver or a small computer board to create various projects.
4. Whether you are a software developer or a coder, you can use Orange Pi to help you develop programs efficiently and save time.
5. We have nationwide shipping and a quality team to provide full service to our customers. So don't wait, buy Orange Pi from us today!
Orange Pi 4B is an open-source single-board computer with dual-band wireless WiFi and Bluetooth 5.0 .It is highly compact with a dimension of 91X55.7mm.
Orange Pi 4B uses the Allwinner H6 SoC, and has 2GB LPDDR3 SDRAM, 8GB EMMC Flash. It can run Android 9,Ubuntu,Debian. Orange Pi 4B offers a range of different ports, including HDMI output, 26pin headers, Gbps Ethernet port,1*USB 3.0, 2* USB2.0,etc. It is powered through Type-C. It is a good choice for applications that need strong networking perfomance.
Hardware specifications
CPU
• Rockchip RK3399 (28nm HKMG process) • 6-core ARM® 64-bit processor ,main frequency speeds up to 1.8GHz • Based on the large and small size core architecture of big.LITTLE : • Dual-core Cortex-A72 (large core) + Quad-core Cortex-A53 (small core)
GPU
• Mali-T864 GPU • Supports OpenGL ES1.1/2.0/3.0/3.1, OpenVG1.1,OpenCL, DX11, support AFBC.
NPU
• SPR2801S, adopt MPE and APiM unique AI architecture. • Typical calculation power 2.8Tops, with 9.3Tops/W ultra high performance
Memory+Onboard Storage
Dual 4GB LPDDR4 + 16GB EMMC flash
Onboard WiFi+Bluetooth
AP6256, IEEE 802.11 a/b/g/n/ac, BT5.0
Network
10/100/1000Mbps Ethernet ( Realtek RTL8211E )
Audio
• Output: 3.5mm Jack and HDMI2.0a • Input: MIC
Video Outputs
• 1 x HDMI 2.0 ( Type-A ), Supports 4K@60fps output • 1 x DP 1.2 (Display Port) , Supports 4K@60fps output • Supports Dual MIPI-DSI (4 lines per channel)
Camera
2 x MIPI-CSI(MIPI_RX0、MIPI_TX1/RX1)
USB
2 x USB2.0 HOST,1 x USB3.0 Type-C
RTC
Support RTC, on-board battery backup interface
Debug UART
3pins Debug UART
GPIO
• GPIO1 40 pins(1 x I2S、2 x I2C、1 x SPI/UART、8 x GPIO) • GPIO2 24pin PCIE port
Key
Upgrade Key & Reset Key
Power Source
DC 5V/3A, TYPE-C 5V/3A
LED
Power led & Status led
OS Support
Android 8.1、Ubuntu 16.04、Ubuntu 18.04、Debian 9
PCB
8 Layer
Dimension
91mm*55.7mm
Orange Pi PC
It is an easy-to-use mini-PC that anyone can use, whether they are a beginner or an expert. It can be used to start simple projects and even to be used in the industrial sector. It can also install many OSes, such as Android, Ubuntu, Debian.
Orange Pi PC is for anyone who wants to start creating with technology- not just consuming it. lt's a simple, fun, useful tool that you can use to start taking control of the world around you.
Hardware specifications
CPU
H3 Quad-core Cortex-A7 H.265/HEVC 4K
GPU
• Mali400MP2 GPU @600MHz • Supports OpenGL ES 2.0
Memory (SDRAM)
1GB DDR3 (shared with GPU)
Onboard Storage
TF card (Max. 32GB) / MMC card slot
Onboard Network
10/100M Ethernet RJ45
Video Input
• A CSI input connector Camera: • Supports 8-bit YUV422 CMOS sensor interface. • Supports CCIR656 protocol for NTSC and PAL. • Supports SM pixel camera sensor. • Supports video capture solution up to 1080p@30fps
Audio Input
MIC
Video Outputs
• Supports HDMI output with HDCP. • Supports HDMI CEC • Supports HDMI 30 function • Integrated CVBS • Supports simultaneous output of HDMI and CVBS.
Audio Output
3.5 mm Jack and HDMI
Power Source
DC input can supply power, but USB OTG input don't supply power
USB 2.0 Ports
Three USB 2.0 HOST, one USB 2.0 OTG
Buttons
Power Button(SW4)
Low-level peripherals
40 Pins Header
GPIO(1x3) pin
UART, ground.
LED
Power led & Status led
Key
IR input, POWER
Supported OS
Android Ubuntu, Debian Image
Product display
Orange Pi PC+
An easy-to-use mini-PC that anyone can use, whether they are a beginner or an expert. It can be used to start simple projects and even be used in the industrial sector. It can also install many OSes, such as Android, Ubuntu, Debian.
Orange Pi PC+ is for anyone who wants to start creating with technology- not just consuming it. lt's a simple, fun, useful tool that you can use to start taking control of the world around you.
Hardware specifications
CPU
H3 Quad-core Cortex-A7 H.265/HEVC 4K
GPU
• Mali400MP2 GPU @600MHz • Supports OpenGL ES 2.0
Memory (SDRAM)
1GB DDR3 (shared with GPU)
Onboard Storage
TF card (Max. 32GB) / MMC card slot
Onboard Network
10/100M Ethernet RJ45
Video Input
• A CSI input connector Camera: • Supports 8-bit YUV422 CMOS sensor interface. • Supports CCIR656 protocol for NTSC and PAL. • Supports SM pixel camera sensor. • Supports video capture solution up to 1080p@30fps
Audio Input
MIC
Video Outputs
• Supports HDMI output with HDCP. • Supports HDMI CEC • Supports HDMI 30 function • Integrated CVBS • Supports simultaneous output of HDMI and CVBS.
Audio Output
3.5 mm Jack and HDMI
Power Source
DC input can supply power, but USB OTG input don't supply power
USB 2.0 Ports
Three USB 2.0 HOST, one USB 2.0 OTG
Buttons
Power Button(SW4)
Low-level peripherals
40 Pins Header
GPIO(1x3) pin
UART, ground.
LED
Power led & Status led
Key
IR input, POWER
Supported OS
Android Ubuntu, Debian Image
Product display
Orange Pi PC Plus is an open-source single-board computer .It uses the Allwinner H3 SoC with Quad-core Cortex-A7, has 1GB LPDDR3 SDRAM, and can run Android 4.4, Ubuntu, Debian Image.
Hardware specifications
CPU
H3 Quad-core Cortex-A7 H.265/HEVC 4K
GPU
• Mali400MP2 GPU @600MHz
• Supports OpenGL ES 2.0
Memory (SDRAM)
1GB DDR3 (shared with GPU)
Onboard Storage
• TF card (Max. 32GB)
• 8GB eMMC Flash
Onboard Network
10/100 Ethernet RJ45
Video Input
• A CSI input connector camera:
• Supports 8-bit YUV422 CMOS sensor interface.
• Supports CCIR656 protocol for NTSC and PAL.
• Supports SM pixel camera sensor.
• Supports video capture solution up to 1080p@30fps
Audio Input
MIC
Video Outputs
• Supports HDMI output with HDCP.
• Supports HDMI CEC
• Supports HDMI 30 function
• Integrated CVBS
• Supports simultaneous output of HDMI and CVBS.
Audio Output
3.5 mm Jack and HDMI
Power Source
DC input, USB OTG input don't supply power
USB 2.0 Ports
Three USB 2.0 HOST, one USB 2.0 OTG
Buttons
Power button
Low-level peripherals
40 Pins Header
GPIO(1x3) pin
UART, Ground.
LED
Power led & Status led
Key
IR input,Power
Supported OS
Android Lubuntu, Debian Image
Interface definition
Product size
85 mm × 55 mm
Weight
70g
The official and recommended touch screen for Orange Pi 4/4B/4 LTS/5
Product description
10.1" screen including TFT LCD and capacitive touch screen, hardware resolution is 800x1280
Support screen brightness control by software PWM
Refresh rate up to 60Hz through MIPI DSI interface driver
Support Orange Pi 4/4B/4 LTS/5 development board, need to use with adapter board.
Parameter
ltem
Specification
Unit
Panel Size
10.1"
inch
Number of Pixels
800×RGB (3)×1280
pixels
Active Area
135.36(H)x216.576(V)
mm
Outline Dimension
143(W)×228.6(H)×2.7(D)
mm
Number of Colors
16.7M
Viewing Direction
ALL
Luminance (cd/m^2)
250(TYP.)
nit
Interface
MIPI
Backlight
27-LEDs (White)
Operation Temperature
0~50
°C
Storage Temperature
-10~60
°C
Weight
TBD
g
Source IC
ILI9881C
This project is an example of using Large Language Models (LLMs) on the Raspberry Pi 5, a small but very powerful development device. The Raspberry Pi 5's capabilities are greatly increased from its predecessor, allowing for better AI and machine learning processing. In this project, we will develop and optimize LLMs for this small but powerful hardware, opening up new possibilities for low-power and energy-efficient Natural Language Processing (NLP) for developers who want to test and implement AI anytime, anywhere.
code
product
NF68465
SD Card 32GB
NF78136
Raspberry pi 5 Active Cooler
F89045
Raspberry pi 5 4GB
F91476
Raspberry pi AI Kit
NF57326
micro hdmi to hdmi
F89047
Raspberry pi 5 Adapter
F89048
Raspberry pi 5 Case
NF73397
Flash Drive 128 GB
This project will take you into the world of OCR (Optical Character Recognition) technology on Raspberry Pi 5 Model 8GB with a powerful AI Kit, perfect for converting photo documents into digital text quickly and accurately. The Raspberry Pi 5 is powerful enough to process AI, making OCR possible on such a small but powerful device. This project is perfect for those who want to automatically convert paper data to digital within an affordable budget, with complete instructions on how to install and use it.
code
product
NF68465
SD Card 32GB
F89049
Raspberry pi 5 Active Cooler
F89046
Raspberry pi 5 8GB
F91476
Raspberry pi AI Kit
NF57326
micro hdmi to hdmi
F89047
Raspberry pi 5 Adapter
F89048
Raspberry pi 5 Case
F91830
Raspberry pi Camera
F91747
FPC Camera Cable
This project will guide you to build a smart IoT Server with Raspberry Pi that supports InfluxDB, MQTT, Grafana and Node-RED, allowing you to easily connect and manage your IoT devices. The Raspberry Pi becomes the central hub for collecting sensor data via InfluxDB and displaying it in real time with Grafana, while MQTT enables efficient communication between devices and Node-RED makes it easy to create workflows. It is ideal for those who want to set up an IoT system on a budget but want high performance.
code
product
NF68465
SD Card 32GB
NF65047
Heat Sink for pi3,pi4,Opi
F80094
Raspberry pi 4 4GB
NF57326
micro hdmi to hdmi
NF57325
Raspberry pi 4 adapter
F74050
Raspberry pi 4 Case
This project will create a Raspberry Pi based barcode scanner that not only scans barcodes but also automatically records the video of the scan to a USB.
code
product
NF68465
SD Card 32GB
NF65047
Heat Sink for pi3,pi4,Opi
F80094
Raspberry pi 4 4GB
NF57326
micro hdmi to hdmi
NF57325
Raspberry pi 4 adapter
F74050
Raspberry pi 4 Case
NF73407
Barcode Reader
NF73397
Flash Drive 128 GB
NF91746
Raspberry pi Camera
This project presents the creation of a Smart AI Speaker using Mycroft on Raspberry Pi, which combines the capabilities of a smart voice assistant with the flexibility of a small but powerful device. The Raspberry Pi can process voice commands quickly, providing a smooth and personalized user experience. We will teach you from installation to customizing Mycroft to meet your needs, so you can create a smart assistant that fits perfectly in your home. It's affordable, easy to set up, and highly customizable!
code
product
NF68465
SD Card 32GB
F89049
Raspberry pi 5 Active Cooler
F89045
Raspberry pi 5 4GB
NF57326
micro hdmi to hdmi
F89047
Raspberry pi 5 Adapter
F89048
Raspberry pi 5 Case
Mic USB
Speaker USB 3.5mm. Jack