Smart AI Visual Robot Car Kit | ESP32-CAM Wireless Camera Robot with STM32 Dual-Control Ackermann Steering | Wi-Fi Image Transmission & Ultrasonic Obstacle Avoidance | DIY Programmable STEM Robotics Platform for AI, IoT & Computer Vision Learning

This AI visual robot car kit combines the power of ESP32-CAM and STM32 to deliver a full-featured educational robotics platform for AI, IoT, and embedded systems learning. Designed with the Ackermann steering mechanism, it simulates real automotive control for accurate cornering and path following — bringing real-world vehicle dynamics into classroom robotics education.

The ESP32-CAM module provides Wi-Fi connectivity and real-time image streaming, allowing users to capture, analyze, and process visual data. Students can program computer vision tasks such as object detection, line tracking, or color recognition through open-source libraries. The STM32 microcontroller handles precise motor control and servo steering, ensuring smooth and responsive navigation.

The ultrasonic sensor adds intelligent obstacle avoidance by measuring distance and preventing collisions. Together, the sensors, camera, and control logic create a powerful example of sensor fusion and AI-driven decision-making. The modular hardware design simplifies assembly, while the acrylic chassis provides durability and transparency for educational demonstrations.

This kit supports C/C++, Arduino IDE, and MicroPython programming, enabling beginners and advanced users to explore different coding environments. It’s ideal for learning how embedded processors communicate, how control systems interact with sensors, and how algorithms manage feedback and motion.

Its wireless communication system allows users to operate the car remotely using smartphones or computers, analyzing camera feedback while executing real-time commands. It’s also an ideal model for understanding how IoT devices integrate with AI systems to achieve smart automation.

Perfect for STEM education, AI workshops, and university courses, this kit provides hands-on learning in computer vision, autonomous robotics, and mechatronic engineering. Whether in classrooms, innovation labs, or competitions, it empowers students to create, program, and refine intelligent robots that mirror real-world systems — merging creativity with advanced technology.

① Dual-Control Architecture with ESP32 + STM32
The ESP32 handles camera vision and wireless communication, while STM32 manages motor and servo control, ensuring stable and real-time system collaboration. This dual-processor setup teaches communication protocols and distributed AI control principles.

② AI Vision & Image Processing via ESP32-CAM
Capture and transmit live video using the ESP32-CAM module. Students learn image recognition, feature detection, and line tracking techniques — essential for AI vision and smart navigation experiments.

③ Ackermann Steering Mechanism for Real Vehicle Simulation
Unlike differential-drive robots, this kit uses a front-steering design, offering realistic turning control. Students learn about automotive geometry, steering linkage, and dynamic stability.

④ Intelligent Obstacle Avoidance with Ultrasonic Sensor
The ultrasonic module measures distance and automatically avoids obstacles, combining sensor data and decision algorithms. It demonstrates how real-world autonomous vehicles process environment feedback.

⑤ STEM + IoT Educational Platform
Integrates coding, electronics, mechanics, and AI in one system. Ideal for teaching IoT principles, robotics engineering, and automation, making complex learning accessible through creative projects.

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