Besomi AI Smart Car - Next Generation Learning Car Kit

The Ai Robo Car Kit is a powerful and intelligent robotic platform designed by Besomi tointroduce learners and enthusiasts to the world of artificial intelligence, machine vision,and real-time object recognition. Equipped with a high-performance Raspberry Pi 4(8GB), this 4WD smart vehicle can be trained to detect colors, shapes, and evenbarcodes, and act accordingly—ideal for workshops, STEM labs, and AI researchprojects. This kit combines Python, OpenCV, and deep learning libraries on a robust Raspberry Piplatform. Whether it's stopping at a red light, identifying blue shapes, or readingbarcodes for product scanning, the Smart Cart is the perfect gateway to real-world AI applications.   Kit Contents:  

• Raspberry Pi 4 Model B – 1 pc
• Raspberry Pi power adapter – 1 pc
• Raspberry Pi Camera – 1 pc
• MicroSD Card 32GB – 1 pc
• Buck Converter – 1 pc
• Type-C to Two-Wires Cable – 1 pc
• USB to Type-C Cable – 1 pc
• HDMI Cable for Raspberry Pi – 1 pc
• Pushbutton – 1 pc
• Traffic Light LED Module – 1 pc
• Acrylic Chassis Body – 1 pc
• Gearbox DC Motors – 4 pcs
• Wheels – 4 pcs
• Mini Breadboard – 1 pc
• Female-to-Female Jumper Wires – 10 pcs
• Male-to-Female Jumper Wires – 10 pcs
• Battery Pack with Jack – 1 pc
• 3D Printed Camera Case – 1 pc  Key Features:  
• Real-Time Object Detection: Detect colors, geometric shapes, and barcodes usingcamera vision and AI models
• Traffic Light Recognition: Integrated traffic light module for simulating traffic rule-based movement
• Barcode Reader Capability: Scan and interpret 1D/2D barcodes using OpenCV andPython libraries
• Autonomous Movement: Program car to move or stop based on visual triggersExpandable Platform: Add-on options like speech recognition, cloud connectivity,and ultrasonic sensors
• Perfect for AI and Computer Vision Projects in schools, universities, and techworkshops  What You Can Learn:  
• AI model training and deployment on Raspberry Pi
• OpenCV basics and real-time image processing
• Motor control using L298N and Raspberry Pi GPIOBarcode scanning logic using Python
• Color and shape classification techniques
• Integrating sensors and actuators in smart vehicles  Ideal Use Cases:  
• Smart Robotics Competitions
• University AI/ML Labs
• Color and Barcode Sorting Demo Systems
• Traffic Simulation Projects
• Autonomous Vehicle Learning