ESP32-CAM AI Camera Development Board | OV2640 Sensor + FTDI Base | Dual Wi-Fi + Bluetooth IoT Module | Arduino ESP32 Microcontroller for AI Vision STEM Learning

ESP32CAM WiFi Bluetooth Camera Module delivers high performance and stability for AI vision and IoT applications. Equipped with an Xtensa dual-core LX7 CPU and 8 MB PSRAM, it supports real-time image capture, facial recognition, and wireless data transmission. Compatible with Arduino IDE and MicroPython, it enables students and makers to explore coding, vision algorithms, and robotics with an easy plug-and-play setup.

AI Vision Development Board ESP32CAM integrates an OV2640 camera and FTDI base for effortless power management and USB communication. Featuring up to 45 GPIO pins and multi-protocol support, it handles live Wi-Fi video streaming and Bluetooth data control simultaneously. With a safe 5 V–3.3 V regulated circuit, it fits smart home, door access, and AI teaching applications perfectly, helping learners master IoT and image-processing fundamentals.

IoT Camera Module ESP32CAM utilizes the industrial-grade ESP32S chip for stable signal strength and anti-interference performance. Through HTTP video streaming and browser-based control, users can view live feeds within the local network. Built-in encryption ensures data privacy under CE and EN71 certifications. Its versatility suits office, laboratory, and household monitoring, making it a cost-effective AI vision platform.

AI IoT Learning Kit ESP32CAM bridges coding education and real-world application. It supports C/C++ and Python programming, allowing control of motors, LEDs, and sensors via PWM signals. Students can build complete AI surveillance or automation systems while developing logic and innovation skills. The open environment encourages creativity and hands-on learning across multiple devices.

STEM Education ESP32CAM development module includes full expansion capability via GPIO, I2C, and analog ports for adding temperature, light, or motion sensors. With clear assembly guides and online tutorials, beginners can easily set up and experiment. Its low-power design is perfect for classrooms and makerspaces, providing a practical platform for AI coding, IoT innovation, and smart design learning.