Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Microcontroller | ESP32-WROVER-E |
| Camera Module | OV2640 2MP |
| Resolution Support | UXGA (1600x1200) |
| Connectivity | Wi-Fi 802.11 b/g/n, Bluetooth 4.2 |
| Flash Memory | 4MB PSRAM |
| Operating Voltage | 5V Input / 3.3V Logic |
| Supported Languages | C++, Python (MicroPython), Arduino IDE |
| AI Capabilities | Face Detection, Object Recognition |
| Storage Expansion | MicroSD Card Slot (up to 4GB) |
| Dimensions | 27mm x 40mm x 10mm |
Anonymous
Mar 30, 2026
Rating: 5/5
Excellent learning tool for AI
As someone new to computer vision, this kit provided everything I needed to get started. The community support and example codes made implementing face detection much easier than anticipated.
Anonymous
Mar 28, 2026
Rating: 5/5
Compact and powerful
The form factor is tiny yet packed with features. Integrating it with Home Assistant was seamless. Highly recommend for anyone building smart home automation systems.
Anonymous
Mar 18, 2026
Rating: 5/5
Perfect for DIY Security Projects
This board exceeded my expectations. Setting up the face recognition script in Python was straightforward, and the video stream quality over Wi-Fi is surprisingly good for the price point.
Anonymous
Mar 18, 2026
Rating: 4/5
Great value but needs a good power supply
The module works great once connected to a stable 5V 2A power source. I initially had reboot issues with a weak USB port, but after switching to a dedicated adapter, it runs flawlessly.
Anonymous
Mar 10, 2026
Rating: 3/5
Good board, documentation could be better
The hardware itself is reliable, but finding specific pinout diagrams for advanced peripherals took some digging. Once figured out, it performs well for image processing tasks.
Anonymous
Mar 08, 2026
Rating: 4/5
Solid hardware for the classroom
We bought ten of these for our robotics club. They are robust enough for student handling and the camera resolution is sufficient for basic object tracking exercises.
Q: How difficult is it to set up face recognition?
A: If you are familiar with Arduino IDE or Python, it is moderately easy. We provide library examples that handle face detection; you mainly need to configure your Wi-Fi credentials and adjust sensitivity settings.
Q: Does this board support MicroPython out of the box?
A: The board hardware is fully compatible with MicroPython, but you will need to flash the MicroPython firmware onto the ESP32 chip using a USB-to-TTL converter before use.
Q: What is the maximum range of the Wi-Fi connection?
A: In an open environment, the Wi-Fi range can reach up to 100 meters. Indoors, this typically reduces to 20-30 meters depending on wall density and interference.
Q: Is an external antenna included for better signal?
A: This specific model uses an onboard PCB antenna. For models requiring an external antenna connector, please check our product variations page for the 'ESP32-CAM with SMA' version.
Q: Can I store recorded videos directly on the board?
A: The board does not have large internal storage for video files. However, it includes a MicroSD card slot that supports cards up to 4GB for local storage of images and short clips.
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