Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | ESP32-S3 Dual-core Xtensa LX7 Microcontroller |
| Camera Module | OV2640 2MP Camera with Wide-Angle Lens |
| Memory | 8MB PSRAM and 4MB Flash Storage |
| Connectivity | Wi-Fi 802.11 b/g/n and Bluetooth 5 (LE) |
| Display | 1.3-inch IPS LCD Screen (240x240 resolution) |
| Battery | 500mAh Li-Po Battery with USB-C Charging |
| Sensors | Microphone, Light Sensor, and 6-axis IMU |
| Expansion | Grove Interface and Pin Headers for I2C/SPI/UART |
| Software Support | Arduino IDE, ESP-IDF, and MicroPython Compatible |
| Dimensions | 68mm x 42mm x 14mm |
Anonymous
Mar 24, 2026
Rating: 5/5
Perfect for AI Vision Projects
This board is incredible for getting started with edge AI. The camera quality is decent for recognition tasks, and the screen makes debugging so much easier without needing a serial monitor constantly.
Anonymous
Mar 19, 2026
Rating: 4/5
Great hardware, steep learning curve
The build quality is solid and the battery life is surprisingly good. However, setting up the TensorFlow Lite models took some time to figure out for a beginner. Documentation could be slightly better.
Anonymous
Mar 19, 2026
Rating: 5/5
Excellent value for money
Compared to other development boards with screens and cameras, this is unbeatable at this price point. The Grove connector makes adding sensors a breeze. Highly recommended for students.
Anonymous
Mar 07, 2026
Rating: 5/5
Solid entry-level industrial tool
We used these for a prototype in our lab. The ESP32-S3 chip handles image processing smoothly, and the form factor is portable enough for field testing. Very satisfied with the performance.
Anonymous
Mar 05, 2026
Rating: 4/5
Fun project board
Bought this for a university project on object detection. It worked right out of the box with the example codes. The screen is bright and clear. Only wish it had more GPIO pins exposed.
Anonymous
Mar 03, 2026
Rating: 3/5
Good but battery drains fast with Wi-Fi
The visual recognition features work well, but if you keep Wi-Fi on continuously, the battery drains faster than expected. Great for short demos, but needs optimization for long-term deployment.
Q: Does this board support MicroPython?
A: Yes, the Seeed Studio ESP32S3 Sense is fully compatible with MicroPython, allowing you to program it using Python scripts for rapid prototyping.
Q: Can I replace the battery if it degrades?
A: The battery is connected via a standard JST connector, so it can be replaced with a compatible 3.7V Li-Po battery if needed.
Q: Is the SD card slot included on this version?
A: This specific portable model does not have a built-in microSD card slot, but you can access external storage via the SPI interface using the pin headers or Grove connector.
Q: What is the maximum resolution for video recording?
A: While primarily designed for image recognition, the OV2640 camera supports video streaming up to UXGA (1600x1200), though frame rates will vary based on your processing logic.
Q: How do I update the firmware?
A: You can update the firmware using the USB-C port by putting the board into download mode (holding the boot button while pressing reset) and using esptool.py or the Arduino IDE.
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