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Freenove ESP32-S3 ESP32 S3 CAM Board, Dual-core 32-bit 240 MHz Microcontroller, Onboard Camera Wireless, Python C Code, Example Projects Tutorial
Product ID: 499936564
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Details
- BrandFREENOVE
- Model nameFNK0085
- RAM memory installed size8 MB
- Memory storage capacity1 GB
- CPU modelNone
⚡Dual-core 240 MHz CPU
📶Wi-Fi & Bluetooth 5 LE
📸Onboard high-res camera
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Description
🚀 Elevate your IoT game with the ultimate ESP32-S3 CAM board!
- PLUG PLAY PROGRAMMING - Supports both MicroPython and C with easy USB connection—code your vision instantly.
- COMPREHENSIVE LEARNING KIT - Step-by-step downloadable tutorials and example projects accelerate your mastery.
- EXPANDABLE STORAGE INCLUDED - 1GB memory card lets you read/write files and expand your creative possibilities.
- INTEGRATED WIRELESS FREEDOM - Built-in 2.4 GHz Wi-Fi and Bluetooth 5 (LE) keep your projects connected effortlessly.
- BLAZING FAST DUAL CORE POWER - Harness a 32-bit 240 MHz processor for seamless multitasking and rapid prototyping.
The Freenove ESP32-S3 CAM Board is a compact, dual-core 32-bit microcontroller running at 240 MHz, featuring onboard Wi-Fi, Bluetooth 5 LE, and a built-in camera. Designed for professionals and enthusiasts, it supports MicroPython and C programming with downloadable tutorials and example projects. The kit includes a 1GB memory card and USB cable, making it a ready-to-use, versatile platform for wireless camera and IoT applications.
Specifications
| Manufacturer | Freenove |
| Part Number | FNK0085 |
| Product Dimensions | 12.5 x 8 x 2.5 cm; 68 g |
| Item model number | FNK0085 |
| Colour | 8 MB Flash |
| Style | Minimalist |
| Display style | LED |
| Special Features | Wireless |
| Usage | Education |
| Included Components | ESP32-S3-WROOM board, 1GB Memory Card, USB cable |
| Batteries included? | No |
| Batteries Required? | No |
| Item Weight | 68 g |
Have a Question? See What Others Asked
Can you post a sample JPG of the image quality captured by the camera?
What is the maximum size SD card supported?
What exact s3-wroom-1 varient is this, the n and r manufacturer codes?
What's the trick to get this model into deep sleep? it doesn't seem to work with espressif's api's
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