Yahboom Raspblock AI Smart Robot Car Kit with Raspberry Pi 4B Vision Voice Broadcast Automatic Driving Visual Identity FPV Romote Control - 192.00 €


Yahboom Raspblock AI Smart Robot Car Kit with Raspberry Pi 4B Vision Voice Broadcast Automatic Driving Visual Identity FPV Romote Control
Seller: Banggood,
Ship from: CN Warehouse, Usually dispatched in 1-3 work days.

FREE SHIPPING: 10-35 days. (DHL faster please check price/quantity first)
Free shipping aviable, Registered postage from 25 €

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Description
This is an AI programming educational robot based on Raspberry Pi 4B. It uses Mecanum wheels and TT motors with encoder to achieve 360°omnidirectional movement to suit more complicated routes. Equipped with all-metal 2DOF camera platform, HQ USB camera, and smooth WIFI transparent transmission, which can bring you a pleasant visual experience of FPV perspective. We also specially designed drive expansion board, which on board gyroscopes, servos, speaker and motor interface. Combined with PID, TensorFlow, KNN and other algorithms, it can realize color recognition, face detection, gesture/QRcode recognition, voice broadcast and Autopilot and other function. We also can control this robot car by APP or PS2 handle. We will provide a image with all the software and contains all the routine code. After configuring the network, you can interact with the car through the mobile phone.

Feature
Exquisite structural design in detail
Bumper strip are pasted around the outside to prevent damage to the car body.
Dust filter be installed on both sides of the internal Raspberry Pi board to prevent dust and extend the usage of the Raspberry Pi.
The bearing design of the bottom of the camera platformensures that the camera rotates stably and smoothly.
L-type camera wiring is convenient to pass through the hole on the side of the car body and plug into the USB interface of the Raspberry Pi board.
Customized driver expansion board
Integrated with MPU6050 gyroscope sensor, so that the car possess self-stabilization function.
With the voltage detection function, and the voltage data will be returned to the mobile phone APP for real-time monitoring.
Low-voltage alarm, anti-reverse connection socket, clear silk screen, prevent users from reverse connection.
Jupyter Lab tool + Python programming + OpenCV
No need to install any software, programming and debugging directly through the web browser.
Based on the popular Python programming language, cooperate with OpenCV for image processing.
Android/iOS multi-function APP
Color recognition, target tracking, face detection, gesture/QR code recognition, voice broadcast and automatic driving, etc,.
Four different modes: surround, pan, auto-stabilization, position mode.
Mecanum wheel debugging interface, which is convenient for users to learn relevant knowledge of omnidirectional movement.

Product specifications
microprocessor:Raspberry Pi4B Broadcom BCM2711
operating system:Raspberry Piofficial linux system is based on Debian
Programming language:Python3
Input:2 million high-definition wide-angle camera,gyroscope,encoder
Output:Four independent motor interfaces,buzzer,horn,four PWM servo interface
Attitude calibration:Gyro attitude calibration
PTZ rotation:PWM servo 180 degrees left,right,up and down,manual lift
Remote control:Moble APP(WIFI),PS2 controller(WIFl)
Power scheme:18650 batery pack(12.6V)
Life time:180 minutes:180 minutes
Safety protection:reverse connection protection,overcurrent protection,low voltage alarm,voltage monitoring
Motor:TT motor with code wheel*4
Communication mode:WIFI communication
Trolley tire:Omni Wheel
Assembly size:235*235*150mm(Assembly size)
Assembly weight:1420g

Package list
Expansion board*1
Acrylic body*1
PTZ Acrylic*1
Camera*1
Remote control handle*1
Camera lifting frame *1
Camera holder*1
Camera mount*1
Bumper strip*1
Air filter*1
sVelcros*1
Mecanum WheelR*2
WheelL*2
Motor*4
Battery*1
Charger*1
Card reader*1
Bearing 6810ZZ *1
Servo pack"2
Fan pack*1
Board connection cable *1
Speaker *1
Audio Line*1
Camera cable *1
HDMI to MlCRO*1
Motor wire*1
Screwdriver +tweezers
Package box *1


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