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Yahboom Raspberry Pi 5 AI Vision Robot Car 4WD Mecanum Robot Car Omnidirectional Raspbot V2 2DOF PTZ Python Programming ROS2-Humble — image 1
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Yahboom Raspberry Pi 5 AI Vision Robot Car 4WD Mecanum Robot Car Omnidirectional Raspbot V2 2DOF PTZ Python Programming ROS2-Humble

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The Yahboom Raspberry Pi 5 AI Vision Robot Car 4WD Mecanum Robot Car Omnidirectional Raspbot V2 2DOF PTZ Python Programming ROS2-Humble by Yahboom is a premium electronics designed for premium buyers. Customers praise its fast and responsive and compact and portable.

fast and responsivecompact and portable
₹16,801
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Total: ₹16,801
Buying tip: A top-tier option — the best features and quality available in this category.
Estimated delivery: 4 Aug18 Aug
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SKU: bg-2026671Category: Electronics

About This Product

The Yahboom Raspberry Pi 5 AI Vision Robot Car 4WD Mecanum Robot Car Omnidirectional Raspbot V2 2DOF PTZ Python Programming ROS2-Humble by Yahboom is a premium electronics designed for premium buyers. Customers highlight its fast and responsive and compact and portable.

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Products Description:

RASPBOT-V2 is an AI vision robot car with a metal body bracket. It is equipped with Mecanum wheels to achieve 360° omnidirectional movement. Raspberry Pi 5 as the main control, Python as programming language. 1MP USB camera and 2DOF PTZ, combining with OpenCV image processing library and MediaPipe machine learning framework to realize color recognition, target tracking, license plate recognition, visual tracking, face recognition, gesture recognition, etc. Yahboom also provide it with accessories such as 4-channel tracking, ultrasonic, OLED display, RGB light bar, and comprehensive software and hardware support, which can be used in a variety of application scenarios such as intelligent robot learning, artificial intelligence development and competition projects. Raspbot-V2 is not only suitable for individual developers and students, but also widely used in education, scientific research and creative projects.

        

Feature:

1.Surprising AI vision capabilities: With 2DOF camera PZT, cooperate with OpenCV and MediaPipe to realize color recognition, target tracking, license plate recognition, gesture and face recognition and other functions.

2.360° omnidirectional movement: Mecanum wheels and 4-channel independent drive motors, it can easily achieve all-round flexible movement and adapt to complex terrain.

3.Support multiple accessories: Multifunctional robot drive expansion board, supports connecting 4-channel tracking sensor, ultrasonic sensor, OLED display, RGB light bar, users can use the car in various scenarios.

4.Raspberry Pi 5 as main control: Combined with theROS2-Humble operating system and Python programming environment. The simple programming interface and rich sensor modules make Raspbot-V2 suitable for theROS beginners to quickly get started.

 

Master: Raspberry Pi 5

System: Raspberry Pi OS

theROS Version: Humble

Body Material: Metal

Input: Ultrasonic sensor, 4-channel tracking sensor, button, infrared receiver, camera

Output: OLED display, motor, RGB colorful light bar, buzzer, servo

Camera Solution: 1MP USB camera

Camera Resolution: 480p/720p resolution

Camera FOV: Diagonal FOV 120°, horizontal FOV 110°

2D PTZ Servo: YB-SG90 digital servo

Servo Operating Voltage: 4.8V-6.0V DC

Servo Pulse Width Range: 500-2500µs corresponds to 0°-180°

Motor Solution: TT reduction motor

Motor Torque: 0.8N·m

Motor Speed: 245±10%rpm

Camera PTZ: 2DOF (activity range 180° horizontally, 110° up and down)

Power Supply: 7.4V 2S lithium battery pack (2000mAh)

Working Time: About 2 hours

Remote Control Method: Infrared remote control, mobile phone APP, PC

Dimensions (Assembled): 208.74 * 165.83 * 127.05mm

Weight (Assembled): 885g

 

Package Included:

1 x RASPBOT-V2 Robot Car Kit 




Product Safety Information

Setup Guide

1
Identify the pins
Locate VCC (power), GND (ground), and data pins (SDA/SCL for I2C, MOSI/MISO for SPI, or TX/RX for UART). Refer to the pinout diagram on the product page.
2
Wire to your microcontroller
Connect VCC to 3.3V or 5V (check the module spec), GND to GND, and data pins to the appropriate GPIO pins on your Arduino or Raspberry Pi.
3
Install libraries
In Arduino IDE, go to Sketch → Include Library → Manage Libraries and search for the sensor library. Install the recommended version.
4
Upload example sketch
Open File → Examples → [library name] → Basic Example. Upload to your board and open Serial Monitor to view output.
5
Calibrate if needed
Some sensors (temperature, humidity, distance) may need a short warm-up period or calibration. Run the calibration sketch if provided.