JORD
Ai Robot Kit
Ideal For: AI & Computer Vision Learning, Workshops, Raspberry Pi Projects, Robotics Education
Product Description:
The AI Smart Cart Kit is a powerful and intelligent robotic platform designed to introduce 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 even barcodes, and act accordingly—ideal for workshops, STEM labs, and AI research projects.
This kit combines Python, OpenCV, and deep learning libraries on a robust Raspberry Pi platform. Whether it's stopping at a red light, identifying blue shapes, or reading barcodes for product scanning, the Smart Cart is the perfect gateway to real-world AI applications.
Kit Contents:
|
Component |
Description |
|
Raspberry Pi 4 (8GB) |
Powerful Linux-based computer for AI processing |
|
Raspberry Pi Camera V2 |
High-resolution 8MP camera for image capture and analysis |
|
Micro SD Card (preloaded or blank) |
Boot storage for OS and code |
|
Power Supply (5V 3A) |
Official power source for Raspberry Pi |
|
Power Module |
Supplies regulated power to the motor and logic circuits |
|
4WD Chassis Kit |
Robot base with 4 motors and wheels for high mobility |
|
L298N Motor Driver |
Dual-channel motor driver to control 4 motors |
|
3-Cell Battery Holder |
Powers motors and logic circuits using Li-ion cells |
|
Light Module |
Visual feedback system to simulate real-world scenarios |
|
Lithium-Ion Batteries (18650) |
Rechargeable battery cells |
|
3D Printed Camera Mount |
Adjustable holder to attach camera to chassis |
|
Raspberry Pi Protective Case |
For safety, cooling, and cable management |
|
USB-C Cable |
Powers Raspberry Pi or transfers data |
Purchase Kit
Key Features:
-
Real-Time Object Detection: Detect colors, geometric shapes, and barcodes using camera vision and AI models
-
Traffic Light Recognition: Integrated traffic light module for simulating traffic rule-based movement
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Barcode Reader Capability: Scan and interpret 1D/2D barcodes using OpenCV and Python libraries
-
Autonomous Movement: Program car to move or stop based on visual triggers
-
Expandable Platform: Add-on options like speech recognition, cloud connectivity, and ultrasonic sensors
-
Perfect for AI and Computer Vision Projects in schools, universities, and tech workshops
What You Can Learn:
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AI model training and deployment on Raspberry Pi
-
OpenCV basics and real-time image processing
-
Motor control using L298N and Raspberry Pi GPIO
-
Barcode scanning logic using Python
-
Color and shape classification techniques
-
Integrating sensors and actuators in smart vehicles
Power Overview:
|
Component |
Power Source |
Module |
|
Raspberry Pi |
5V USB-C |
Official power supply or power bank |
|
Motors + Accessories |
3x 18650 Li-ion |
Power module + 3-cell holder |
Ideal Use Cases:
-
Smart Robotics Competitions
-
University AI/ML Labs
-
Color and Barcode Sorting Demo Systems
-
Traffic Simulation Projects
-
Autonomous Vehicle Learning