Raspberry Pi 5 Smart Vision Car 4B

Features

• Omni-Directional Movement: Equipped with Mecanum wheels, the all-terrain AI smart car can achieve 360° omni-directional movement, including forward, sideways, diagonal, rotation, and combined movements, making it flexible and suitable for complex routes.
• AI Vision: Features color recognition, QR code recognition, and facial recognition, enabling target tracking and obstacle avoidance driving through AI technology.
• Visual Recognition and Tracking: Equipped with a two-dimensional gimbal camera that can adjust the gimbal's panoramic and tilt angles, providing a wide visual range and flexible angle adjustment.
• Rich Data: Offers a variety of sensor experiments, including ultrasonic obstacle avoidance, distance detection, infrared obstacle avoidance, and remote control. Supports Python 3 programming, open-source code, and OpenCV technology.
• Open-Source Code: Fully open-source code, programmed in Python 3, supporting OpenCV library for AI vision development, suitable for various AI vision applications.
• New Upgrade: The Raspberry Pi 5 is equipped with a Broadcom BCM2712 quad-core Arm Cortex A76 processor @ 2.4GHz and VideoCore VII GPU, offering a hardware upgrade with enhanced performance.

AI Vision Development

• Facial Recognition and Tracking: Recognizes and marks faces, controlling the car or gimbal camera to follow the facial movement.
• Color Recognition and Tracking: Recognizes specified colors and rotates the gimbal to track; it can also recognize colors and control the car to move and track.
• QR Code Recognition and Control: Recognizes and reads QR codes, controlling the car's movement based on the obtained information.
• Ball Tracking: Uses OpenCV algorithm to identify the contour of the ball and achieve tracking.
• Robot Vision Line Tracking: Based on OpenCV camera for line tracking, suitable for various tracking lines.
• Multiple AI Vision Applications: Supports MediaPipe, YOLOV5, and other machine learning vision algorithms, enabling image classification, gesture recognition, facial recognition, and object detection.

Sensor Experiments

• Ultrasonic Obstacle Avoidance: Uses ultrasonic sensors for obstacle detection and avoidance.
• Infrared Obstacle Avoidance: Equipped with infrared probes on both sides of the car's head, enabling infrared obstacle avoidance.
• Infrared Remote Control: Supports infrared remote control, allowing the car to be controlled via a remote.

Specifications

• Product Name: Raspberry Pi 5 Smart Vision Car 4B
• Model Number: CLB-LRB-AI10
• Programming Software: Python, C language
• Wheels: Mecanum wheels
• Drive Model: DC motor drive
• Speed: 320 RPM at 7.4v~250ma, torque approx. 1.5KGf.cm
• Camera: Raspberry Pi 500W camera
• Motor: Metal gear DC motor
• Dependencies: OpenCV
• Operating System: Raspbian bookworm
• Drive Method: PWM drive
• Display Voltage: 3-segment digital display
• Sensors: Ultrasonic module/infrared obstacle avoidance/infrared remote control
• Camera Gimbal: Two-degree-of-freedom camera gimbal
• Battery: 4000mA lithium battery with charging protection
• Dimensions: 198mm x 155mm x 147mm
• Weight: Approx. 940g (finished car)

New AI Vision Recognition

The Raspberry Pi 5 is equipped with a powerful Broadcom BCM2712 quad-core Arm Cortex A76 processor @ 2.4GHz and VideoCore VII GPU, providing advanced camera support, versatile connectivity, and enhanced peripherals. The hardware upgrade delivers three times the speed of the 4B with superior performance.