Wi-Fi Vision Robot Car | Browser Control + Target Tracking + PID Speed Control | Expandable Sensors/Servos/Storage | Unified Platform for Coding & IoT Labs

Highlights

• The smart visual car features a high-definition camera and robust Wi-Fi communication module for real-time HD streaming, remote browser control, and image recognition tasks. Through any connected device, users can view live video, adjust pan-tilt angles, mark targets, plan routes, and command the vehicle in real time. Equipped with the OV2640 sensor offering 1632×1232-pixel clarity, it captures environmental details vividly. Low-latency algorithms maintain smooth video under varying bandwidth conditions. This module enables STEM students to understand visual sensing, data acquisition, and autonomous navigation—perfect for AI, IoT, and robotics education.
• Equipped with triple infrared line-tracking sensors and an ultrasonic ranging module, the robot performs automatic path following, obstacle detection, and dynamic avoidance. The servo system scans 0–180° or 0–360°, enabling mapping and re-entry experiments. Students can tune PID coefficients to analyze how proportional factors affect turning precision and response time, reinforcing control theory through visualization. This multi-sensor integration suits maze navigation, auto-parking, and target-detection experiments, offering a practical base for AI and autonomous-systems education.
• The robot employs an L298N dual-channel driver delivering reliable bidirectional control under 7–12 V input. High-torque TT gear motors (48:1 ratio, 200 rpm) balance low-speed stability and fast response. The isolated driver design prevents reverse-current interference, while external power support ensures extended operation. This configuration is ideal for engineering courses, control algorithm validation, and mechanical physics labs—helping learners link voltage, current, torque, and velocity dynamics.
• Fully compatible with the Arduino ecosystem, the system supports C-language and Arduino IDE coding. Open-source samples include signal acquisition, PWM motor control, Wi-Fi communication, and basic vision algorithms for classroom or research use. Reserved UART, I²C, and SPI ports enable easy integration of BLE, GPS, OLED, and IMU sensors. With its modular design, students can prototype IoT applications, stream data wirelessly, and learn embedded programming through real-world practice.
• Designed for STEM education and maker labs, this kit includes full teaching materials, lab guides, and tuning sheets. It supports robotics programming, control-algorithm study, AI-vision exercises, IoT networking, and competition training. Its modular structure integrates seamlessly into curricula and cross-disciplinary research. Students can log data, upload project reports, and collaborate remotely—making it a unified platform for AI + programming education.