Freenove
Freenove ESP32-S3 CAM Board
Best development kit for makers building vision-based IoT projects.
Discover the Freenove ESP32-S3 CAM Board, a versatile development kit designed for electronics enthusiasts and makers. This compact board is powered by a robust dual-core ESP32-S3-WROOM controller, capable of speeds up to 240 MHz, and features integrated Wi-Fi and Bluetooth for seamless connectivity. It includes an onboard camera, making it perfect for vision-based projects, and offers 8MB PSRAM and 8/16MB Flash memory. The kit comes with a comprehensive tutorial and supports both MicroPython and C programming, ideal for learning and prototyping. Easily program it via USB and utilize the included 1GB memory card.
$19.99
Owner Satisfaction
4.6
/ 5
Category Rank
80
/ 2017
#80 in Electronics
Price vs Category Average
-92%
Below average
Microprocessor
32323240
/ Dual-core -bit ESP-S up to MHz
Who it's for
- Engineers needing extra memory for high-resolution image processing
- Developers building edge AI and complex computer vision projects
- Makers creating connected imaging devices with minimal setup time
Who should skip it
- Users planning to install the board in small, unventilated enclosures
- Designers creating long-term battery-powered remote monitoring devices
- Beginners seeking a plug-and-play experience without extensive documentation
Performance breakdown
Processing Power
Dual-core architecture handles complex vision tasks with impressive speed and efficiency.
Connectivity Versatility
Integrated Wi-Fi and Bluetooth provide reliable links for remote project monitoring.
Development Accessibility
Comprehensive tutorials and dual-language support make prototyping approachable for all levels.
Memory Capacity
Generous PSRAM and flash storage accommodate demanding image processing and data logging.
Hardware Integration
Onboard camera and included SD card simplify setup for immediate vision projects.
Prototyping Workflow
USB-based programming ensures a smooth, frustration-free transition from code to hardware.
Key Specs
Microprocessor
Dual-core 32-bit ESP32-S3 up to 240 MHz
Onboard Memory
8 MB PSRAM, 8/16 MB Flash
Connectivity
Wi-Fi, Bluetooth
Storage
SDMMC card slot support
Programming Languages
MicroPython, C
Included
1GB memory card
Power Input
USB
Features
- Powerful ESP32-S3 dual-core processor
- Integrated camera for vision projects
- Onboard Wi-Fi and Bluetooth connectivity
- Supports MicroPython and C programming
- Detailed tutorials and examples included
- Easy USB programming interface
- Comes with a 1GB memory card
- Ideal for learning and prototyping
What customers say
Users consistently highlight the Freenove ESP32 S3 CAM board's excellent value and complete kit. The detailed tutorials and thorough documentation make it remarkably easy to use, even for those new to development. The board's reliable performance straight away and high quality components are frequently mentioned. This comprehensive solution offers a powerful and well supported option for IoT camera projects, making it a standout choice for its overall quality and accessibility.
Know before you buy
This board is flexible and supports both C (via the Arduino IDE or ESP-IDF) and MicroPython, making it suitable for both beginners and experienced developers.
Yes, the kit includes the camera module and a 1GB memory card for storage, so you have the essential hardware to begin your vision-based projects immediately.
The board features a built-in USB interface, allowing you to both power the device and upload your code directly from your computer without needing an external programmer.
Absolutely. Freenove provides detailed tutorials and example projects that guide you through the setup and programming process, which is ideal for learning the basics of ESP32 development.
Yes, the board features integrated Wi-Fi and Bluetooth, allowing you to easily connect it to your local network or pair it with other wireless devices for remote monitoring or data transmission.
The ESP32-S3 is a powerful dual-core processor capable of speeds up to 240 MHz, providing the necessary performance to handle image processing and complex tasks more efficiently than older ESP32 models.
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